Datasets:

librarian-bots

/

model_cards_with_metadata

like 7

ajrayman/FairnessReciprocity_continuous

ajrayman

--- license: mit base_model: roberta-base tags: - generated_from_trainer model-index: - name: FairnessReciprocity_continuous results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # FairnessReciprocity_continuous This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.0238 - Rmse: 0.1543 - Mae: 0.1207 - Corr: 0.2049 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rmse | Mae | Corr | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:| | No log | 1.0 | 250 | 0.0241 | 0.1554 | 0.1214 | 0.1927 | | 0.0361 | 2.0 | 500 | 0.0238 | 0.1543 | 0.1207 | 0.2049 | ### Framework versions - Transformers 4.43.3 - Pytorch 2.4.0 - Datasets 2.20.0 - Tokenizers 0.19.1

Krabat/google-gemma-2b-1722635308

Krabat

peft

--- base_model: google/gemma-2b library_name: peft --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed] ### Framework versions - PEFT 0.12.0

IOAIJordan/NLPTokenizer

IOAIJordan

Entry not found

edthrth/US-tried-to-get-Navalny-into-Russia-swap-but-then-he-died-fa-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/99db01b5d24249d7a7c0ea6c4bb108fe Source : https://data.lacounty.gov/groups/ee1b4221250145e7872e45bf95323709 Flash News : https://data.lacounty.gov/groups/59e66f937dff40df8c9822f168026896 Biden last Talk : https://data.lacounty.gov/groups/8682f6ae93bf4ad7839cb6dbd91d04b9 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/78b1c67bcf0648f1b69a468876bbef12 Other Sources : https://groups.google.com/g/retro-comp/c/e6gFo9dpkik https://data.lacounty.gov/groups/33ebc015df9f42998c9b464f180863c1 https://data.lacounty.gov/groups/9b7604f0767a47d0984491a1e824edc0 https://data.iowadot.gov/groups/9b3049d821174fa2827941eb6ca93618 https://data.lacounty.gov/groups/728f12b842664a368ce4497a2230af22 https://data.lacounty.gov/groups/96c82f377ff74500933a09b79bddb2f5 https://data.lacounty.gov/groups/cd3a7d916fe949f8829399b2656442e0 https://data.lacounty.gov/groups/a515c3b6f9154667b06ca76be132ce16 https://data.lacounty.gov/groups/b216a1e12272465f88e40c30dd6b1084 https://data.iowadot.gov/groups/3281a2ff349d4f889acb99fcbb8a2603 https://data.lacounty.gov/groups/aeaad5b8b96c49dc9337907d74de0f93 https://data.lacounty.gov/groups/cd3a7d916fe949f8829399b2656442e0 https://data.lacounty.gov/groups/cd3a7d916fe949f8829399b2656442e0 https://data.iowadot.gov/groups/ca8244aaf4624c0e84731ff2009dc565 The United States says it had hoped to make the late Russian opposition figure Alexei Navalny part of a prisoner swap with Moscow - Copyright AFP RALF HIRSCHBERGER Amid celebrations at getting a slew of US citizens and Kremlin opponents out of Russian prisons, the White House had one public regret Thursday: failure to get out an even bigger name -- Alexei Navalny. "We had been working with our partners on a deal that would have included Alexei Navalny and, unfortunately, he died," US National Security Advisor Jake Sullivan revealed. In the White House's plans, the last truly high-profile political opponent of President Vladimir Putin should have been included in the historic swap that saw 16 people -- including three US citizens and a US resident -- freed in return for 10 Russians chosen by the Kremlin, including two minors. But in February 2024, just as the secret international talks were at a crucial stage, Navalny was pronounced dead at a notoriously brutal Russian Arctic prison, where he was serving a 19-year sentence after exposing Kremlin corruption. Navalny was a larger-than-life figure whose bravery in confronting Putin, despite the deaths of multiple other Kremlin opponents over the years, amazed Russia watchers around the world. After surviving an assassination attempt in which he was poisoned with a rare, Soviet-designed nerve agent, and then daring to return from safety in Germany to certain arrest in Russia, Navalny took on an aura of near-invincibility. His sudden death behind bars shocked the White House team who had been trying to get the other prisoners home. "The team felt like the wind had been taken out of our sails," a senior US official told reporters. When the news broke, national security chief Sullivan said he happened to be with the parents of one of the other key targets in the prisoner swap plan: Evan Gershkovich, a Wall Street Journal reporter arrested in Russia in March 2023. "On the very day that he died, I saw Evan's parents," Sullivan said. "I told them that the president was determined to get this done, even in light of that tragic news, and that we were going to work day and night to get to this day." And the plan worked. On Thursday, the Western-chosen prisoners -- including Gershkovich and a veteran Russian human rights campaigner -- were flown to Turkey and then home. They also included two former aides to Navalny: Lilia Chanysheva, 42, and Ksenia Fadeyeva, 32. The Russian-chosen prisoners -- including a hitman and accused deep-cover spies -- were flown to Moscow. US Vice President Kamala Harris gave Navalny's widow, Yulia Navalnaya, a call. Harris, who is running to replace Biden in November, called "to dicuss the exchange and express her support," Navalnaya spokeswoman Kira Yarmysh said on X. And the Russian opposition figure's widow urged efforts to get others out continue. She "called on the international community to facilitate the release of other Russian political prisoners," Yarmysh said.....

mradermacher/Meltemi-7B-v1.5-GGUF

mradermacher

transformers

--- base_model: ilsp/Meltemi-7B-v1.5 language: - el - en library_name: transformers license: apache-2.0 quantized_by: mradermacher --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> static quants of https://huggingface.co/ilsp/Meltemi-7B-v1.5 <!-- provided-files --> weighted/imatrix quants are available at https://huggingface.co/mradermacher/Meltemi-7B-v1.5-i1-GGUF ## Usage If you are unsure how to use GGUF files, refer to one of [TheBloke's READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for more details, including on how to concatenate multi-part files. ## Provided Quants (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) | Link | Type | Size/GB | Notes | |:-----|:-----|--------:|:------| | [GGUF](https://huggingface.co/mradermacher/Meltemi-7B-v1.5-GGUF/resolve/main/Meltemi-7B-v1.5.Q2_K.gguf) | Q2_K | 3.0 | | | [GGUF](https://huggingface.co/mradermacher/Meltemi-7B-v1.5-GGUF/resolve/main/Meltemi-7B-v1.5.IQ3_XS.gguf) | IQ3_XS | 3.3 | | | [GGUF](https://huggingface.co/mradermacher/Meltemi-7B-v1.5-GGUF/resolve/main/Meltemi-7B-v1.5.Q3_K_S.gguf) | Q3_K_S | 3.4 | | | [GGUF](https://huggingface.co/mradermacher/Meltemi-7B-v1.5-GGUF/resolve/main/Meltemi-7B-v1.5.IQ3_S.gguf) | IQ3_S | 3.4 | beats Q3_K* | | [GGUF](https://huggingface.co/mradermacher/Meltemi-7B-v1.5-GGUF/resolve/main/Meltemi-7B-v1.5.IQ3_M.gguf) | IQ3_M | 3.5 | | | [GGUF](https://huggingface.co/mradermacher/Meltemi-7B-v1.5-GGUF/resolve/main/Meltemi-7B-v1.5.Q3_K_M.gguf) | Q3_K_M | 3.8 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Meltemi-7B-v1.5-GGUF/resolve/main/Meltemi-7B-v1.5.Q3_K_L.gguf) | Q3_K_L | 4.1 | | | [GGUF](https://huggingface.co/mradermacher/Meltemi-7B-v1.5-GGUF/resolve/main/Meltemi-7B-v1.5.IQ4_XS.gguf) | IQ4_XS | 4.2 | | | [GGUF](https://huggingface.co/mradermacher/Meltemi-7B-v1.5-GGUF/resolve/main/Meltemi-7B-v1.5.Q4_K_S.gguf) | Q4_K_S | 4.4 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Meltemi-7B-v1.5-GGUF/resolve/main/Meltemi-7B-v1.5.Q4_K_M.gguf) | Q4_K_M | 4.6 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Meltemi-7B-v1.5-GGUF/resolve/main/Meltemi-7B-v1.5.Q5_K_S.gguf) | Q5_K_S | 5.3 | | | [GGUF](https://huggingface.co/mradermacher/Meltemi-7B-v1.5-GGUF/resolve/main/Meltemi-7B-v1.5.Q5_K_M.gguf) | Q5_K_M | 5.4 | | | [GGUF](https://huggingface.co/mradermacher/Meltemi-7B-v1.5-GGUF/resolve/main/Meltemi-7B-v1.5.Q6_K.gguf) | Q6_K | 6.2 | very good quality | | [GGUF](https://huggingface.co/mradermacher/Meltemi-7B-v1.5-GGUF/resolve/main/Meltemi-7B-v1.5.Q8_0.gguf) | Q8_0 | 8.1 | fast, best quality | | [GGUF](https://huggingface.co/mradermacher/Meltemi-7B-v1.5-GGUF/resolve/main/Meltemi-7B-v1.5.f16.gguf) | f16 | 15.1 | 16 bpw, overkill | Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):  And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9 ## FAQ / Model Request See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized. ## Thanks I thank my company, [nethype GmbH](https://www.nethype.de/), for letting me use its servers and providing upgrades to my workstation to enable this work in my free time. <!-- end -->

IOAIJordan/NLPWord2Vec

IOAIJordan

Entry not found

IOAIJordan/NLPClassifier

IOAIJordan

Entry not found

edthrth/Saturn-threw-a-comet-out-of-the-solar-system-at-6700-mph-Heres-how-3e-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/bfab507453c44cd0a81dbdae69305fcd Source : https://data.lacounty.gov/groups/be8bfad9c79d482aa4e33bca0513e909 Flash News : https://data.iowadot.gov/groups/155c6394e27a47268292a6a7b320a22d Biden last Talk : https://data.lacounty.gov/groups/272302a0149a489ebd9b85dee7fe6606 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/18cd7b1edcee4a089f52c85c24275352 Other Sources : https://data.lacounty.gov/groups/a61893ea71f749928f5ff962cb539c00 https://data.iowadot.gov/groups/7008c6f3be0741deb2e9d7b00ef0d934 https://data.lacounty.gov/groups/5b3c7bd15b774bb4a24b283b971723f7 https://data.lacounty.gov/groups/8fe8902bcf844efda8796b929b32e4ce https://data.lacounty.gov/groups/a515c3b6f9154667b06ca76be132ce16 https://groups.google.com/g/codename-taurus/c/ow2DfqOprpo https://huggingface.co/edthrth/Specialist-vet-with-family-atmosphere-opens-b4-updated https://data.lacounty.gov/groups/8682f6ae93bf4ad7839cb6dbd91d04b9 https://data.iowadot.gov/groups/22aba6f9a1fa4da8a9afff42196a879e https://data.lacounty.gov/groups/15a816ec1af1435e8f7735cb32493813 https://data.iowadot.gov/groups/c96d0ce2e6dc412ea3706194f830c0cf https://data.lacounty.gov/groups/dd48cfeaebf0450d9478e312a64f18dc https://data.iowadot.gov/groups/7b9df14337944bb6a2ed3b876f97676a https://data.iowadot.gov/groups/c45991364bae4590863490683aae42e6 When you buy through links on our articles, Future and its syndication partners may earn a commission. Scientists have discovered a comet traveling one way out of the solar system after a close encounter with Saturn. The comet, designated Comet A117uUD (A117uUD), was only discovered on June 14, 2024, by the Asteroid Terrestrial-impact Last Alert System (ATLAS). Yet, researchers were able to use 142 observations of the comet to "wind back" its orbit around the sun. This revealed that A117uUD met up with Saturn, the second-largest planet in the solar system, famous for its bright and distinctive rings, in 2022 and was changed forever. The meeting with the gas giant put the comet on a highly flattened or elliptical orbit that will fling it out into interstellar space beyond the influence of the sun. Using models to fast forward the path of A117uUD, the team found that it will exit the solar system at a speed of around 6,710 miles per hour (10,800 km\/h). That is about four and a half times the top velocity of a Lockheed Martin F-16 jet fighter. This is only the second solar system comet that we have seen in the process of being launched out of the solar system. The first was Comet C\/1980 E1 (Bowell), which was put on a solar system escape path by an encounter with Jupiter on Dec. 9, 1980. "Our results show that the case of comet A117uUD is similar to that of C\/1980 E1 (Bowell), disfavoring an extrasolar origin for A117uUD," the team behind the research write in a paper published in the journal Research Notes of the AAS. "The fact that two ejections after planetary encounter were observed in less than 45 years suggests that such events are relatively frequent." Related: A comet approaching Earth could become brighter than the stars this fall It wasn't always clear that A117uUD was a solar system body destined to leave its home planetary system. When the team behind this discovery first analyzed the icy space rock, they thought its hyperbolic orbit could indicate that it was actually an intruder into our solar system. The first solar system interloper discovered by humanity was the oddly cigar-shaped asteroid 1I\/'Oumuamua ('Oumuamua), the moniker of which is a Hawaiian word that roughly translates as "messenger from afar arriving first." When it was discovered in 2017, 'Oumuamua immediately stood out to astronomers because of its highly unusual shape and the fact that it had no coma (the halo that surrounds comets), or distinctive cometary tail despite appearing to be a strange comet\/asteroid hybrid. It was also accelerating away from the sun, something that led to the now dismissed (mostly) claim that this visitor from another planetary system could be an alien spacecraft. The solution to these unique features was the roasting of 'Oumuamua by cosmic radiation before reaching the solar system, which caused hydrogen to be created and become trapped within its body. That hydrogen was liberated and began to spray out of the space rock once 'Oumuamua reached the relative warmth of our planetary system, thus propelling it. 'Oumuamua is now out beyond the orbit of Neptune, passing through the Kuiper Belt, a ring of icy bodies near the outer edge of the solar system. Not only is it beyond the reach of our telescopes, but the interstellar interloper will never come back toward Earth or the sun. 'Oumuamua isn't the only interstellar intruder we have seen enter the solar system, however. Comet 2I\/Borisov (2I\/Borisov) was the second confirmed interstellar body and the first confirmed interstellar comet found within the solar system. 2I\/Borisov was discovered by Crimean amateur astronomer Gennady Borisov on Aug. 30, 2019. This solar system invader really put A117uUD's speed to shame, racing through the solar system at a hair-raising 110,000 mph. That's 150 times the speed of sound, and it leaves a Lockheed Martin F-16 in its dust trail, traveling 75 times as fast as the jet fighter's top speed. RELATED STORIES: -- See every comet photo (and more) from Europe's Rosetta probe -- Comet Impacts May Have Jump-Started Life on Earth -- Life May Be Common in the Milky Way, Thanks to Comet Swapping Like 'Oumuamua, 2I\/Borisov was just passing through, briefly fascinating astronomers and the general public alike, as it headed toward a solar system exit, never to return. The encounter between A117uUD and Saturn impacted the comet's orbit to the extent that the team was unable to reconstruct it prior to the meet-up, but they did enough to assure themselves this wasn't a third extra-solar interloper. Maybe one day, the Saturn-ejected comet A117uUD will thrill and entice the astronomers of some distant alien civilization, perhaps billions of years after its discoverers on Earth have vanished.....

Yuyang-z/Data4D

Yuyang-z

Entry not found

edthrth/Cuba-Reviews-Preventive-Measures-Due-to-Active-Hurricane-Season-dh-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/35a8a183482f4a3db0c8ac50e0a57637 Source : https://groups.google.com/g/chromium-reviews-en-es/c/6mqsPR3Ll_M Flash News : https://data.iowadot.gov/groups/22aba6f9a1fa4da8a9afff42196a879e Biden last Talk : https://data.iowadot.gov/groups/7d5eda1ed7754c74b5b4f6845b4587d2 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/7164aa1108734b91a3b6a2514b3b1bf6 Other Sources : https://data.lacounty.gov/groups/6d344617ead14e1daa121a7e53ea9f83 https://groups.google.com/g/chromium-reviews-en-es/c/ryvBB6Z516w https://data.iowadot.gov/groups/c57a4b58da7347aa96c73d9baf453195 https://data.lacounty.gov/groups/c309c0da93854b8eafc36afefead32d8 https://data.lacounty.gov/groups/8fe8902bcf844efda8796b929b32e4ce https://data.lacounty.gov/groups/272302a0149a489ebd9b85dee7fe6606 https://data.lacounty.gov/groups/bc1f2661f58b4d2fa0608ab91d72624b https://data.lacounty.gov/groups/b72c28855c804f939a361d2ae1889d42 https://data.lacounty.gov/groups/d9562964497c4f31a5608a7594cd827c https://data.iowadot.gov/groups/e4279e19431d47df85e7109a01099d31 https://data.lacounty.gov/groups/262caed4f6414aec9a2251ce9f58a2c4 https://data.lacounty.gov/groups/7af06f1aac20479182370b1a8f884648 https://data.iowadot.gov/groups/ca8244aaf4624c0e84731ff2009dc565 https://data.iowadot.gov/groups/3281a2ff349d4f889acb99fcbb8a2603 Cuba is reviewing the preventive measures to reduce risks and vulnerabilities before the beginning of the second month of the hurricane season on Thursday, which experts predict will be very active. Havana, Cuba.- Cuba expects a rainy period (July 1 to November 30) with above-average rainfall in all regions and a high probability (80 percent) of a hurricane hitting the country, which makes it necessary to resort to preventive measures based on its vast experience in these matters. Faced with this scenario, the General Staff of Cuba's Civil Defense (EMNDC) recently instructed to increase the preparedness of the organizations, management structures, and the population; point out the availability of early warning systems, and monitor low-lying or poorly drained areas. Colonel Luis Macareño, second chief of EMNDC, pointed out during the last working session of the Council of Ministers the need to increase the cleaning of riverbeds and the maintenance of river and coastal flood protection works. Macareño also insisted on reviewing the certification of emergency power generating units, increasing their technical availability, checking micro-dams, and adopting measures to ensure their technical control. In June, the month with the highest historical average rainfall of the year, the national rainfall average reached 121 percent, according to the Cuban Presidency and Government website. (PL)....

Krabat/Qwen-Qwen1.5-0.5B-1722635589

Krabat

peft

--- base_model: Qwen/Qwen1.5-0.5B library_name: peft --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed] ### Framework versions - PEFT 0.12.0

lazertorp/Qwen-Qwen1.5-1.8B-1722635602

lazertorp

peft

--- base_model: Qwen/Qwen1.5-1.8B library_name: peft --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed] ### Framework versions - PEFT 0.11.1

edthrth/43-German-shepherds-seized-by-BC-SPCA-from-property-near-Prince-George-1a-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/5bbd082d54d1401f9a23827343042900 Source : https://data.lacounty.gov/groups/b216a1e12272465f88e40c30dd6b1084 Flash News : https://data.iowadot.gov/groups/aa49134337364a7f9e1dc249603220f0 Biden last Talk : https://data.lacounty.gov/groups/d777d94051db48f1a84d814cfbe5be85 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/59e66f937dff40df8c9822f168026896 Other Sources : https://data.lacounty.gov/groups/3013a2d98f4d4b94ba2a3a5279995520 https://data.lacounty.gov/groups/bc1f2661f58b4d2fa0608ab91d72624b https://data.lacounty.gov/groups/728f12b842664a368ce4497a2230af22 https://data.iowadot.gov/groups/01f3c942b4b44a8585262b0b42b6febd https://data.lacounty.gov/groups/dd48cfeaebf0450d9478e312a64f18dc https://data.lacounty.gov/groups/822d4ce7bc864288a47d2f6409f87af1 https://data.lacounty.gov/groups/eb1fcb15716942438e22ebb1e0e0fa0c https://data.lacounty.gov/groups/d777d94051db48f1a84d814cfbe5be85 https://data.iowadot.gov/groups/dd9c5e03371846ab95df5e86e0affe06 https://data.lacounty.gov/groups/99331a60b07244858b51c86d31dd393d https://data.lacounty.gov/groups/ef97a3a00db74849b200c7befe7977ae https://data.lacounty.gov/groups/06b4962f33fb403d8aa446c0ac0d04c1 https://data.lacounty.gov/groups/ae8d0c1e810f421194d64d66db29ac36 https://data.lacounty.gov/groups/99331a60b07244858b51c86d31dd393d B.C. SPCA animal protection officers have seized 43 German shepherds from an "irresponsible breeder," who was housing them on a property southeast of Prince George. Thirty-one adult German shepherds and 12 puppies were recently seized, according to a BC SPCA release Thursday (Aug. 1). B.C. SPCA's chief of protection and outreach services Marcie Moriarty said the conditions the dogs were living in were horrible. She said the plywood floors in their outdoor kennels were soaked with urine and there were piles of feces. Water was visible in each kennel, but there were no signs of food. "The stench was overwhelming." She said the dogs were exhibiting signs of distress, from circling and weaving inside their kennels to bashing their muzzles into the walls. "When our animal protection officers entered their kennels, the dogs were so paralyzed with fear that some just cowered in the back corner, staring into the wall. It was heartbreaking." It was when animal protection officers began to lift the dogs into crates that they noticed how underweight the animals were. "Their body condition scores range from a three to as low as a one out of nine," she said. "An ideal score would be five." The puppies range in age from one week to nine months old, with the youngest found with their mother in a dark basement in the house in a plastic pool with only paper towels for bedding. Another mother and her puppies were in a confined space, "with ammonia levels so high it was physically uncomfortable for the animal protection officers." The B.C. SPCA said the dogs are currently being assessed at the North Cariboo animal centre. Most of the older dogs are suffering from stiff, arthritic joints, damaged teeth and some have painful stomach issues or visible wounds.....

Purls/GordoAI

Purls

Entry not found

edthrth/Aussies-delay-dental-treatment-as-cost-of-living-bites-1g-updated

edthrth

--- language: - en --- []() read the full article here : https://data.iowadot.gov/groups/ee4df13d714745b1a1c3086a528b52ac Source : https://data.iowadot.gov/groups/bfccfe57a2f24cf9ab181f40894cc8f5 Flash News : https://data.iowadot.gov/groups/7d5eda1ed7754c74b5b4f6845b4587d2 Biden last Talk : https://data.lacounty.gov/groups/c6e2f0d1891241d497c6c03216a7e2d5 Russian Ukrain Breaking News : https://data.iowadot.gov/groups/45fd6b1056474423bba054f28b3083fa Other Sources : https://huggingface.co/edthrth/Saturn-threw-a-comet-out-of-the-solar-system-at-6700-mph-Heres-how-5g-updated https://data.iowadot.gov/groups/d11d07b72bc24225b661cb4f5d6c9fba https://data.lacounty.gov/groups/191b8d8656c142079b74f5c2fefc1794 https://data.lacounty.gov/groups/06b4962f33fb403d8aa446c0ac0d04c1 https://data.lacounty.gov/groups/90223d3d1387480398ab22e9a25b20bd https://data.lacounty.gov/groups/99331a60b07244858b51c86d31dd393d https://data.lacounty.gov/groups/920ea0b30c7145bdb519839c098dc6d5 https://data.iowadot.gov/groups/47a596132b744265a5cb58fd9589b637 https://data.lacounty.gov/groups/772acd9e3e7343b39702eb8178436463 https://data.iowadot.gov/groups/3a8842ee5b4645d69a4079c07e54cdaf https://huggingface.co/edthrth/Jailer-agrees-to-plead-guilty-in-case-of-inmate-who-froze-to-death-at-jail-aa-updated https://data.lacounty.gov/groups/8b905fa804674c33b001c9bd25e57cec https://data.iowadot.gov/groups/994af2af6af04d9e907c616b9b732e93 https://data.iowadot.gov/groups/7b9df14337944bb6a2ed3b876f97676a Two-in-three Australians are only visiting the dentist when they have a problem as cost of living pressures continue to bite, amid calls for dental subsidies to be expanded. In an oral health survey of 25,000 people, 61 per cent delayed oral treatment in the past 12 months, with affordability accounting for 63 per cent of the reason. It marks a 17 per cent increase in people delaying regular check ups in the past 13 years, while the issue of costs increased by 12 per cent compared to 2022. One-in-three people has suffered tooth and gum pain, face swelling or infection in the past year, with those issues more prevalent in older groups. The Australian Dental Association is calling for government subsidies to be expanded to senior Australians. People would be less likely to face complex and expensive dental treatments down the track if they saw their dentist regularly, association president Scott Davis said. "Government-funded schemes for our most vulnerable populations would go a long way to making this a reality for millions of Aussies for whom at the moment a dental visit isn't a financial reality," he said. The survey figures show only seven per cent of people have visited the dentist in the past six months, while 10 per cent visited in the past six-to-12 months. Almost half had their problems treated, but about one in four did not due to cost barriers around treatments. "The current system of government assistance for them is ailing - eligible people wait years on public dental waiting lists just to have their first appointment, often enduring years of pain," Dr Davis said. "There are hundreds of thousands of Aussies suffering this way." The dental association wants the health minister to introduce a seniors scheme in Medicare which, according to the Parliamentary Budget Office, would cost $15.7 billion over a decade. "This is cheap compared to trying to deliver dentistry to every Australian at a cost of around five times that at $77 billion a decade, according to Treasury costings." Children are already offered subsidised dental treatments under the Dental Benefits Act with the structures in place to extend this to seniors, Indigenous people, those on low incomes and people with a disability.....

edthrth/Harrismania-Is-it-Real-gc-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/8b28cb09ebf34d4486468e4484e4b8fd Source : https://data.lacounty.gov/groups/9f48c48825d042f8b3ef290e70c8a114 Flash News : https://data.lacounty.gov/groups/b4c93e94ca0d4fceb887ab65b80c2c08 Biden last Talk : https://data.lacounty.gov/groups/35a8a183482f4a3db0c8ac50e0a57637 Russian Ukrain Breaking News : https://data.iowadot.gov/groups/0461d8400f6944b3b01a2d46bd4e2c1d Other Sources : https://data.lacounty.gov/groups/96c82f377ff74500933a09b79bddb2f5 https://data.lacounty.gov/groups/262caed4f6414aec9a2251ce9f58a2c4 https://huggingface.co/edthrth/Drivers-face-permanently-high-petrol-prices-if-Reeves-raises-fuel-duty-in-Budget-3g-updated https://data.lacounty.gov/groups/630d6f421529474da309c736f555549d https://data.lacounty.gov/groups/85390ac3eadd4a16a0df9ce665982c2f https://data.iowadot.gov/groups/45fd6b1056474423bba054f28b3083fa https://data.lacounty.gov/groups/f8cf3d677f324e708859392bea6031d8 https://data.lacounty.gov/groups/f8cf3d677f324e708859392bea6031d8 https://data.lacounty.gov/groups/d9562964497c4f31a5608a7594cd827c https://data.lacounty.gov/groups/ae8d0c1e810f421194d64d66db29ac36 https://data.lacounty.gov/groups/973c51906a744b23897c135afcea7044 https://data.iowadot.gov/groups/45fd6b1056474423bba054f28b3083fa https://storymaps.arcgis.com/stories/f3144a6ff4f94fdeb64b7435db15fa6f https://data.iowadot.gov/groups/899c4b461d3c4f709fe2206561efc24c Former President Donald Trump's momentum from his June debate victory, his near assassination, and presiding over the most unified, uplifting, and successful Republican National Convention in modern memory, came to a screeching halt when President Joe Biden announced he was dropping out of the race and endorsing Vice President Kamala Harris as his replacement on July 21. Many Democrats, including former President Barack Obama, initially balked at the endorsement. Harris was such a weak and unlikable candidate that as recently as April, Biden's top advisors allegedly worried she posed a "drag on the ticket." Harris's favorability rating began to fall shortly after Biden appointed her as his border czar in March 2021, or as the Associated Press framed it, when she was "tapped ... to lead the White House effort to tackle the migration challenge at the U.S. southern border and work with Central American nations to address root causes of the problem." Since that time, her favorability has mostly fluctuated between 35 and 40 percent. In a January NBC poll, it reached an all-time low of 28 percent. On July 21, the day Harris launched her campaign, her favorability stood at 37.9 percent. Ten days later, it stands at 43 percent, an increase of 13.5 percent. What would account for such a quick boost? Well, the legacy media are literally swooning over Harris, whom they are promoting as the next Barack Obama. The "Harrismania" that has built up since Biden's withdrawal is not based on reality. It is a media-driven construct. We are witnessing a real-world demonstration of the power of propaganda, and we are amazed by the ease - and the speed - with which it was accomplished. The media has elevated Harris to rockstar status. The cover of New York Magazine features the vice president sitting atop a coconut (a nod to a bizarre Harris quip about how her mother once asked her if she "just fell out of a coconut tree"), with Democratic Party leaders and fans celebrating her candidacy from below. The merry little scene is titled, "Welcome to Kamalot." For obvious reasons, Democrats are excited about Harris's candidacy. Biden's implosion at the CNN debate had plunged the party into three long weeks of despair, during which many had resigned themselves to certain defeat in November. Swapping out Biden for Harris came as a tremendous relief and provided something that had been sorely lacking: enthusiasm. The latest Wall Street Journal poll shows that 81 percent of Democrats are enthusiastic about Harris's candidacy. That compares with just 37 percent who felt the same about Biden. [Republican enthusiasm for Trump in the poll stands at 85 percent.] Although early polling still shows Trump ahead of Harris, she has managed to narrow the gap to a startling degree. The RealClearPolitics average of head-to-head polls shows Trump 1.4 points ahead of Harris by a margin of 48.1 to 46.1 percent. Before Biden withdrew from the race, Trump led by 3 points. The average contains 10 polls released on or after July 22. Significantly, three of the polls show Trump's support at or above the critical 50 percent threshold and just slightly below in three others. When third party candidates are added to the mix, Trump's lead over Harris falls slightly to 1.1 points, suggesting that Robert F. Kennedy Jr. may be drawing more voters from Trump than from Harris. More alarming of all, Harris is narrowing the gap with Trump in the battleground states, particularly in Michigan, Pennsylvania, and Wisconsin, states that are critical to victory in the Electoral College. On July 21, Trump was ahead of Biden by wide margins in all of the battleground states. The RCP polling averages were as follows: Arizona, +5.8; Georgia, +4.0; Michigan, +2.1; Nevada, +5.6; North Carolina, +5.7; Pennsylvania, +4.5; and Wisconsin, +3.3. As of August 1, Trump still retains a lead in six of those states, but Harris has cut into his margins significantly: Arizona, +4.2; Georgia, +3.6; Nevada, +4.0; North Carolina, +5.5; Pennsylvania, +2.7; and Wisconsin, +0.2. Buoyed by a new Bloomberg\/Morning Consult poll (registered voters) that shows Harris ahead of Trump by a whopping 11 points, Harris now leads in Michigan by 2 points. At the risk of sounding like Biden, it's pretty hard to take that result seriously. A Fox News survey released on Friday night found the race tied while a second poll from The Hill\/Emerson showed Trump ahead by 1 point. Harris's net gains are as follows: Arizona, +1.6; Georgia, +0.4; Michigan, +3.9; Nevada, +1.6; North Carolina, +0.2; Pennsylvania, +1.8; and Wisconsin, +3.1. Clearly, Harris has made real headway in the Rust Belt states. Trump's selection of Ohio Sen. J.D. Vance as his running mate was meant to bolster the ticket in those states. As we know, Vance has gotten off to a shaky start due to Democrat and media exploitation of comments he made in a 2021 interview about "childless cat ladies." But if an assassination attempt on Trump can fade from the news cycle in two weeks, chances are that Vance's "cat ladies" remarks will too. We'll see. Trump and Vance need to emphasize that, during her short-lived 2020 presidential campaign, Harris said there was "no question" she would ban fracking in the U.S. as president. Realizing that such a ban would be unpopular in the must-win state of Pennsylvania, she has already flip-flopped on fracking. According to "an 'operative close' to the campaign," Team Harris believes they can win not only the Rust Belt states, but Nevada, Arizona, and Georgia as well. A source told Strassel that Harris's opening is in "Nevada, Arizona, Georgia, Pennsylvania. And however those four states go, the rest of the country will follow." During her Atlanta rally on Tuesday, Harris told supporters, "I am very clear: The path to the White House runs right through this state." I'm not so sure about that. Harris is drawing support from blacks, Hispanics, and younger voters, all groups that Trump had been making inroads with prior to Biden's withdrawal from the race. The Journal poll shows Harris's support among nonwhite voters at 63 percent. Biden's support among this group had been 51 percent, far short of the 73 percent he won in 2020. In the short term, Harris's polling results will likely go even higher. On Tuesday, she will reveal the name of her running mate which is sure to generate excitement. And, no doubt, she will receive a bounce from the party's upcoming convention. In a July 23 memo (below), Trump campaign pollster Tony Fabrizio warned Republicans to expect a bump for Harris in the polls over the next couple of weeks, particularly in the national polls. Fabrizio noted that "the fundamentals of the race stay the same." As we've witnessed repeatedly, Harris does fine when she's reading from a teleprompter. It's when she is required to speak extemporaneously that toads come out. The Harris campaign clearly realizes that she gets into trouble when she is unscripted which is likely why she not yet held a press conference. But sooner or later, she will have to face reporters. She will also participate in a debate with Trump, who has become decidedly more disciplined this time around. Last week, CNN data reporter Harry Enten warned viewers against overconfidence. "For all of the excitement that Democrats have over Kamala Harris, it's going to be difficult to beat Donald Trump," Enten said. "The fact is, Donald Trump is more popular now than he ever has been before." -- -- -- -- -- -- - Elizabeth writes commentary for The Washington Examiner. She is an academy fellow at The Heritage Foundation and a research fellow at The Sixteenth Council, a London think tank. Please follow Elizabeth on X or LinkedIn.....

Krabat/Qwen-Qwen1.5-1.8B-1722635851

Krabat

peft

--- base_model: Qwen/Qwen1.5-1.8B library_name: peft --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed] ### Framework versions - PEFT 0.12.0

edthrth/Asylum-seekers-may-end-up-in-Dorset-hotels-after-barge-closure-3g-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/dd48cfeaebf0450d9478e312a64f18dc Source : https://data.lacounty.gov/groups/aeaad5b8b96c49dc9337907d74de0f93 Flash News : https://data.lacounty.gov/groups/2f636c9996f54b00b2360ab517937bcd Biden last Talk : https://data.lacounty.gov/groups/9327acc6a34a4185bb315eca822bb27a Russian Ukrain Breaking News : https://data.lacounty.gov/groups/9b7604f0767a47d0984491a1e824edc0 Other Sources : https://data.iowadot.gov/groups/155c6394e27a47268292a6a7b320a22d https://data.iowadot.gov/groups/45fd6b1056474423bba054f28b3083fa https://data.lacounty.gov/groups/262caed4f6414aec9a2251ce9f58a2c4 https://data.lacounty.gov/groups/868f77ef70e64bcda92341f6b0a46d32 https://data.lacounty.gov/groups/e48471cdff1d4ce78d9d3e1b947ef7a5 https://data.lacounty.gov/groups/c6e2f0d1891241d497c6c03216a7e2d5 https://data.iowadot.gov/groups/c57a4b58da7347aa96c73d9baf453195 https://data.iowadot.gov/groups/aa49134337364a7f9e1dc249603220f0 https://data.lacounty.gov/groups/5ff19d3465cc40228709f73bce6432ef https://data.iowadot.gov/groups/37b2424f3a794a29b07ae1eda9795f9f https://data.lacounty.gov/groups/bc1f2661f58b4d2fa0608ab91d72624b https://data.lacounty.gov/groups/772acd9e3e7343b39702eb8178436463 https://data.iowadot.gov/groups/bfccfe57a2f24cf9ab181f40894cc8f5 https://data.lacounty.gov/groups/d9562964497c4f31a5608a7594cd827c As previously reported, the Home Office announced last week that it will not renew the contract for the barge, which is being used to house asylum seekers at Portland Port while their claims are processed, when it ends in January. READ MORE: Bibby Stockholm barge to close in Dorset, Home Office says The announcement raised questions over the future of the asylum seekers still living on the barge. The asylum seekers will remain on the barge until January whilst their asylum claims are processed. If successful they are entitled to live wherever they want, which could include Dorset. Cllr Nick Ireland said: "I would like to think that, by January, the barge will be empty. I imagine they won't be repopulating it until then. "That is not to say that the Home Office couldn't then hire a hotel to house asylum seekers, but like the barge, that would be out of our control." "The way it has worked so far is that the people who are on board the barge are at an advanced stage of their asylum claims being processed. "The agreement with the Home Office and Portland Port is that they are removed from the barge before the final decision is made, I don't know where they are moved to but it is not in Dorset. "Dorset Council therefore has no responsibility to house them, as they are moved out of the county before the decision is made. "People who are still awaiting decisions do not currently have a right to reside in the UK, those people are not Dorset Council's responsibility, they are a matter for the Home Office. "I don't think there is any risk of Dorset Council having to house asylum seekers once their claims are successful and our housing list is big enough as it is. The Labour party has announced plans to try to speed up the asylum system and new South Dorset MP Lloyd Hatton said the plans are to resolve all the claims of the men on the barge before it is closed. Mr Hatton said: "The reason why there are people on the barge is that no one had dealt with their cases. "It is not about continuing to move people around, it is trying to deal with the backlog of cases. "The cases of the individuals on the barge are now being processed with extreme urgency. "In many cases, some of these people have been in the UK for two or three years and this is the second or third site they have been housed in. "It is not about giving them a fourth, fifth or sixth place, we want the claims finished with." A Home Office spokesperson added that clearing the backlog and reducing the number of people on the barge was the "priority". The spokesperson said that if the barge still has occupants remaining, that some people may be relocated to hotels in Dorset. Once the claims are processed, asylum seekers with successful claims will be able to live and work in the UK, whilst those with unsuccessful claims will be removed from the country "as soon as possible\....

edthrth/Man-in-60s-injured-in-assault-near-supermarket-4b-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/bea484f911a94a2ea5a9ddb04a15ea4a Source : https://data.lacounty.gov/groups/96c82f377ff74500933a09b79bddb2f5 Flash News : https://data.lacounty.gov/groups/bfab507453c44cd0a81dbdae69305fcd Biden last Talk : https://data.lacounty.gov/groups/8986eac8600e4a2d9540e2812d0c97f8 Russian Ukrain Breaking News : https://data.iowadot.gov/groups/c96d0ce2e6dc412ea3706194f830c0cf Other Sources : https://huggingface.co/edthrth/Overall-decrease-in-crime-reported-in-market-town-41-updated https://data.lacounty.gov/groups/57003d2703314efdaa38e9d8764b9fc9 https://data.lacounty.gov/groups/06b4962f33fb403d8aa446c0ac0d04c1 https://data.iowadot.gov/groups/d204fdca49ea4344ba88574c069434df https://data.lacounty.gov/groups/ae8d0c1e810f421194d64d66db29ac36 https://data.lacounty.gov/groups/93a3a2660c274b478cbf762ff0750f5f https://data.lacounty.gov/groups/d3309f3de7944f2c82348f086d999553 https://data.lacounty.gov/groups/55d9ca98c5d142fe954618c9b23e28e3 https://data.lacounty.gov/groups/b002627f93ab4c5d9eda14604cd2b3b9 https://data.lacounty.gov/groups/973c51906a744b23897c135afcea7044 https://data.lacounty.gov/groups/f34691d7b8d344d28997367e15c9acdc https://groups.google.com/g/sip_js/c/dtEohInN4JU https://data.lacounty.gov/groups/979fdda85abb4d69980e9a96a7040336 https://data.lacounty.gov/groups/272302a0149a489ebd9b85dee7fe6606 An air ambulance was scrambled after man in his 60s was assaulted near a busy supermarket. Police officers, two ambulances, the Dorset and Somerset Air Ambulance and an operations officer all rushed to the area of West Bay Road, Bridport, following the incident near to Morrisons supermarket. It is understood the man was treated on scene by the ambulance service for head injuries that he sustained yesterday. A man in his 30s has been arrested on suspicion of assault occasioning actual bodily harm. A spokesperson for Dorset Police said at the time: "We received a report at 12.57pm that a man had sustained injuries following an assault that is believed to have occurred near to the Morrisons supermarket off West Bay Road in Bridport. "Officers attended and the victim, a man aged in his 60s, was treated by the ambulance service for injuries that were not believed to be serious. "A man aged in his 30s was arrested on suspicion of assault occasioning actual bodily harm. "Officers remain in the area carrying out enquiries and our investigation is ongoing." A spokesperson for Dorset and Somerset Air Ambulance said: "I can confirm that Dorset and Somerset Air Ambulance attended an incident in Bridport today reported as an adult male with a head injury. "Our critical care team assisted on scene, before the patient was conveyed to hospital by our South Western Ambulance Service NHS Foundation Trust colleagues in a road ambulance. "The team we provided consisted of a doctor and specialist practitioner in critical care, both of whom specialise in pre-hospital emergency medicine. The aircraft was crewed as usual, by a pilot and co-pilot." A spokesperson for the South Western Ambulance Service NHS Foundation Trust (SWASFT) said: "We were called at 12.09pm on Thursday, August 1 to an incident in Bridport. "We sent two double-crewed land ambulances, an air ambulance, and an operations officer to the scene."....

kheopss/kheops-nemo-e1-v0.55-bnb-16bit

kheopss

transformers

text-generation

--- base_model: unsloth/Mistral-Nemo-Base-2407-bnb-4bit language: - en license: apache-2.0 tags: - text-generation-inference - transformers - unsloth - mistral - trl --- # Uploaded model - **Developed by:** kheopss - **License:** apache-2.0 - **Finetuned from model :** unsloth/Mistral-Nemo-Base-2407-bnb-4bit This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

igoranoni/qwen2-0_5b-italian-ft-32bit-p-2

igoranoni

transformers

text-generation

--- base_model: igoranoni/qwen2-0_5b-italian-ft-32bit000 language: - en license: apache-2.0 tags: - text-generation-inference - transformers - unsloth - qwen2 - trl - sft --- # Uploaded model - **Developed by:** igoranoni - **License:** apache-2.0 - **Finetuned from model :** igoranoni/qwen2-0_5b-italian-ft-32bit000 This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

edthrth/43-German-shepherds-seized-by-BC-SPCA-from-property-near-Prince-George-44-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/06b4962f33fb403d8aa446c0ac0d04c1 Source : https://storymaps.arcgis.com/stories/a36fd762f29f46179194db267a0652c3 Flash News : https://data.lacounty.gov/groups/b002627f93ab4c5d9eda14604cd2b3b9 Biden last Talk : https://data.lacounty.gov/groups/59e66f937dff40df8c9822f168026896 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/ef97a3a00db74849b200c7befe7977ae Other Sources : https://data.iowadot.gov/groups/aa49134337364a7f9e1dc249603220f0 https://data.iowadot.gov/groups/3281a2ff349d4f889acb99fcbb8a2603 https://data.lacounty.gov/groups/914ecd47a1dc423b9662e1aea759db13 https://data.lacounty.gov/groups/d9562964497c4f31a5608a7594cd827c https://data.iowadot.gov/groups/22aba6f9a1fa4da8a9afff42196a879e https://data.lacounty.gov/groups/99331a60b07244858b51c86d31dd393d https://data.iowadot.gov/groups/ddf41be60549428e9c7f10117e489193 https://data.iowadot.gov/groups/e50aefa49baa481281c8d93c9a42a4f2 https://data.iowadot.gov/groups/7836289a5f834421acb640d5242b3ea6 https://data.lacounty.gov/groups/9b7604f0767a47d0984491a1e824edc0 https://data.lacounty.gov/groups/d3309f3de7944f2c82348f086d999553 https://data.lacounty.gov/groups/7164aa1108734b91a3b6a2514b3b1bf6 https://groups.google.com/g/retro-comp/c/ywyDvzIWUqg https://data.lacounty.gov/groups/272302a0149a489ebd9b85dee7fe6606 B.C. SPCA animal protection officers have seized 43 German shepherds from an "irresponsible breeder," who was housing them on a property southeast of Prince George. Thirty-one adult German shepherds and 12 puppies were recently seized, according to a BC SPCA release Thursday (Aug. 1). B.C. SPCA's chief of protection and outreach services Marcie Moriarty said the conditions the dogs were living in were horrible. She said the plywood floors in their outdoor kennels were soaked with urine and there were piles of feces. Water was visible in each kennel, but there were no signs of food. "The stench was overwhelming." She said the dogs were exhibiting signs of distress, from circling and weaving inside their kennels to bashing their muzzles into the walls. "When our animal protection officers entered their kennels, the dogs were so paralyzed with fear that some just cowered in the back corner, staring into the wall. It was heartbreaking." It was when animal protection officers began to lift the dogs into crates that they noticed how underweight the animals were. "Their body condition scores range from a three to as low as a one out of nine," she said. "An ideal score would be five." The puppies range in age from one week to nine months old, with the youngest found with their mother in a dark basement in the house in a plastic pool with only paper towels for bedding. Another mother and her puppies were in a confined space, "with ammonia levels so high it was physically uncomfortable for the animal protection officers." The B.C. SPCA said the dogs are currently being assessed at the North Cariboo animal centre. Most of the older dogs are suffering from stiff, arthritic joints, damaged teeth and some have painful stomach issues or visible wounds.....

EMMANEU/dpo_finetuned_model

EMMANEU

Entry not found

pbosh/GIAM20

pbosh

--- license: apache-2.0 ---

ab-jpg/ent_rake_qlora

ab-jpg

Entry not found

edthrth/White-House-Was-Not-Aware-of-Plea-Deal-Discussions-With-September-11-Defendants-Kirby-bd-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/64e4a44a6aed433dabd5a3e7c2df6dd5 Source : https://data.lacounty.gov/groups/c309c0da93854b8eafc36afefead32d8 Flash News : https://data.lacounty.gov/groups/15a816ec1af1435e8f7735cb32493813 Biden last Talk : https://data.lacounty.gov/groups/3b4628f4ee0b4976ab77f113248d1f72 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/822d4ce7bc864288a47d2f6409f87af1 Other Sources : https://data.lacounty.gov/groups/33ebc015df9f42998c9b464f180863c1 https://data.iowadot.gov/groups/e4279e19431d47df85e7109a01099d31 https://feedbackportal.microsoft.com/feedback/idea/da4c52a6-284f-ef11-b4ad-0022484d3ecc https://data.lacounty.gov/groups/b4c93e94ca0d4fceb887ab65b80c2c08 https://data.lacounty.gov/groups/646ddebfd5da4cd587ca71ef5fa25109 https://data.iowadot.gov/groups/0461d8400f6944b3b01a2d46bd4e2c1d https://data.lacounty.gov/groups/3b4628f4ee0b4976ab77f113248d1f72 https://data.lacounty.gov/groups/8b28cb09ebf34d4486468e4484e4b8fd https://data.iowadot.gov/groups/c96d0ce2e6dc412ea3706194f830c0cf https://www.sheffield.ac.uk/js/fckeditor/editor/filemanager/browser/default/browser.html?id=hackear_cuentannewww_1241123533&Connector=https://unitedstatednews.com https://data.lacounty.gov/groups/12c17845094645d7b70e59be8f7db1bd https://data.lacounty.gov/groups/d7794f8c49ee4142b8c8162b07aa20d8 https://data.lacounty.gov/groups/ee1b4221250145e7872e45bf95323709 https://data.lacounty.gov/groups/b4c93e94ca0d4fceb887ab65b80c2c08 https:\/\/cdn1.img.sputnikglobe.com\/img\/07e8\/02\/06\/1116626934_0:260:3072:1988_192_80_0_0_93da15a81aaf094cef9caf79c1f0f797.jpg.webp"The White House wasn't aware of this deal or the process leading up to it until yesterday," Kirby said on Thursday. "There's no change to the President's policy and opinion that Guantanamo should be closed, but in this particular case with these plea deals, we're going to be reaching out to the Department of Defense as appropriate to have discussions about it." On Wednesday, the Department of Defense announced that it entered into pre-trial plea agreements with three of the defendants accused of having a role in the September 11, 2001, terrorist attacks, including Khalid Shaikh Mohammad, who is claimed to have masterminded the attacks.....

Peacoc/37_best_t_120_1

Peacoc

transformers

text-generation

--- library_name: transformers tags: [] --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]

jps79/docs2cash_ner_base

jps79

--- license: cc-by-nc-sa-4.0 base_model: microsoft/layoutlmv3-base tags: - generated_from_trainer metrics: - precision - recall - f1 - accuracy model-index: - name: test results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # test This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.0413 - Precision: 0.9309 - Recall: 0.9485 - F1: 0.9396 - Accuracy: 0.9897 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 1e-05 - train_batch_size: 2 - eval_batch_size: 2 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - training_steps: 1000 ### Training results | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |:-------------:|:-------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| | No log | 1.3333 | 100 | 0.1101 | 0.9272 | 0.7588 | 0.8346 | 0.9760 | | No log | 2.6667 | 200 | 0.0647 | 0.8974 | 0.8537 | 0.875 | 0.9798 | | No log | 4.0 | 300 | 0.0467 | 0.9522 | 0.8645 | 0.9063 | 0.9871 | | No log | 5.3333 | 400 | 0.0505 | 0.8807 | 0.9404 | 0.9096 | 0.9855 | | 0.1021 | 6.6667 | 500 | 0.0406 | 0.9225 | 0.9350 | 0.9287 | 0.9893 | | 0.1021 | 8.0 | 600 | 0.0505 | 0.9067 | 0.9485 | 0.9272 | 0.9882 | | 0.1021 | 9.3333 | 700 | 0.0410 | 0.9530 | 0.9350 | 0.9439 | 0.9909 | | 0.1021 | 10.6667 | 800 | 0.0377 | 0.9326 | 0.9377 | 0.9351 | 0.9897 | | 0.1021 | 12.0 | 900 | 0.0410 | 0.9307 | 0.9458 | 0.9382 | 0.9897 | | 0.0084 | 13.3333 | 1000 | 0.0413 | 0.9309 | 0.9485 | 0.9396 | 0.9897 | ### Framework versions - Transformers 4.42.4 - Pytorch 2.3.1+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1

Krabat/Qwen-Qwen1.5-7B-1722636256

Krabat

peft

--- base_model: Qwen/Qwen1.5-7B library_name: peft --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed] ### Framework versions - PEFT 0.12.0

edthrth/Women-should-have-informed-choice-on-having-labour-induced-at-39-weeks-Rotunda-doctor-fh-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/af034538dd4946928e76ce709fd74fb1 Source : https://data.iowadot.gov/groups/22aba6f9a1fa4da8a9afff42196a879e Flash News : https://data.lacounty.gov/groups/90223d3d1387480398ab22e9a25b20bd Biden last Talk : https://data.iowadot.gov/groups/155c6394e27a47268292a6a7b320a22d Russian Ukrain Breaking News : https://data.iowadot.gov/groups/22aba6f9a1fa4da8a9afff42196a879e Other Sources : https://data.lacounty.gov/groups/b4c93e94ca0d4fceb887ab65b80c2c08 https://data.lacounty.gov/groups/9b7604f0767a47d0984491a1e824edc0 https://data.lacounty.gov/groups/914ecd47a1dc423b9662e1aea759db13 https://data.lacounty.gov/groups/646ddebfd5da4cd587ca71ef5fa25109 https://data.lacounty.gov/groups/59e66f937dff40df8c9822f168026896 https://data.lacounty.gov/groups/17c95b16327042548d720aa972bc0e3e https://data.lacounty.gov/groups/9b7604f0767a47d0984491a1e824edc0 https://data.lacounty.gov/groups/5bbd082d54d1401f9a23827343042900 https://data.lacounty.gov/groups/aeaad5b8b96c49dc9337907d74de0f93 https://data.lacounty.gov/groups/18cd7b1edcee4a089f52c85c24275352 https://data.lacounty.gov/groups/f34691d7b8d344d28997367e15c9acdc https://data.iowadot.gov/groups/3281a2ff349d4f889acb99fcbb8a2603 https://data.lacounty.gov/groups/a6643ceecfaf4860b3e471e755da15d3 https://data.lacounty.gov/groups/96c82f377ff74500933a09b79bddb2f5 It follows a study of induced labour at 39 weeks in healthy women, which faced criticism. WOMEN SHOULD HAVE the option of having labour induced at 39 weeks and returning home, a consultant at the Rotunda Hospital has said. Professor Fergal Malone, a former master of the Rotunda, said the Dublin maternity hospital will soon give women the option of having labour medically induced at 39 weeks - full term - and then returning home to begin their labour, if they choose. At present, women whose labour is induced - using hormones or a device to dilate the cervix - stay in hospital for their entire labour, which could last two or three days. Induction is particularly used if a woman has not gone into labour by 41 weeks, two weeks past normal full term, or if her waters break but contractions do not start. A new study conducted in the Rotunda and published in the prestigious Lancet medical journal concluded that healthy first-time mothers can safely labour at home after induction at 39 weeks, coming back into hospital to deliver the baby. Malone said: "Our goal was informed choice - giving people choice on how to manage the end of pregnancy. We haven't come out and said, 'everybody should have an induction'. But we do believe that everyone should be told the benefits and the risks of both spontaneous labour and induced labour." Criticism The study was criticised in 2021, while it was still being conducted, by a Trinity College Dublin professor of midwifery and by an Irish patient advocacy group, among others. Critics of the research suggested an information leaflet told women more about the potential benefits than about the potential risks of agreeing to be induced as part of the research. Critics also questioned the rationale for inducing labour at 39 weeks in healthy pregnant women rather than allowing them to go into labour spontaneously. No changes were made to the information leaflet or any other element of the research as a result of these criticisms. The study was funded with a grant from Medicem, a medical technology firm which makes a cervical dilator used in the research as one of two initial methods to induce labour. Funding was also provided by the charitable Rotunda Foundation. Neither funder had a role in trial design or any other element of the research. Fergal Malone PA \/ Alamy PA \/ Alamy \/ Alamy Malone said it was true that people who have induced labour tend to have a slower labour and are more likely to have a caesarean section than those who go into labour spontaneously. Advertisement However, he argued that it was "simplistic" to therefore conclude that patients should "keep away from induced labour". That's because women cannot choose to have a spontaneous labour. Some women who wait past 39 weeks will end up being induced anyway at 41 weeks, when the baby might be heavier and harder to deliver vaginally. "The correct comparison isn't women who have spontaneous labour at 39 weeks versus women who are induced at 39 weeks; the comparison should be women who had induced labour at 39 weeks versus women who waited, who did nothing," he said. 'Maximising choice' This comparison was investigated in a large study in the US six years ago, which found lower rates of c-section in the induced group (18.6%) compared with the group that waited (22.2%). There was no significant difference in the risk of death or serious complications. The Rotunda study found that 25% of women who were admininistered either a dilator or a hormonal gel to induce labour ended up having a c-section. This compares with a 30-40% c-section rate in Ireland, and closer to 40% for first-time mothers, Malone said. Malone said the findings in the new study represented a "significantly reduced" chance of c-section. He said women may ask for induction at 39 weeks because their baby is getting big or they can't sleep, or for other reasons. He said once the Rotunda's day assessment unit is resourced to offer it, women will be able to go home after induction at 39 weeks, and this will be cheaper than keeping women in a prenatal ward. HSE data shows that 31.1% of women who had a baby in 2021 were induced. Malone said it was a "myth" that induced labour was more painful than spontaneous labour, and randomised trials had confirmed this. National guidelines Krysia Lynch, spokeswoman for the Association for Improvements in the Maternity Services - Ireland, a patient advocacy group, disputed the idea that induced labour was no more painful than spontenous labour, adding that it could mean women were more likely to need pharmacological pain relief. She noted that the HSE's guidlines on induction of labour, updated last year, recommend women with uncomplicated pregnancies should be offered induction of labour at 41 weeks. The guidelines state that requests for induction from 39 weeks "should be considered, after discussing the benefits and risks with the woman, and taking into account the woman's circumstances and preferences as well as the maternity hospital or unit's resources and established care pathways". The guideline document states that induction "may impact on the need for pain relief as induced labour may be more painful than spontaneous labour". Readers like you are keeping these stories free for everyone... A mix of advertising and supporting contributions helps keep paywalls away from valuable information like this article. Over 5,000 readers like you have already stepped up and support us with a monthly payment or a once-off donation. Learn More Support The Journal....

mradermacher/Nous-Hermes-2-Mistral-7B-DPO-prune-i1-GGUF

mradermacher

<!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: nicoboss --> weighted/imatrix quants of https://huggingface.co/ahmedtm1/Nous-Hermes-2-Mistral-7B-DPO-prune

edthrth/Loving-and-caring-woman-found-dead-in-flat-by-friend-b4-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/630d6f421529474da309c736f555549d Source : https://data.iowadot.gov/groups/d11d07b72bc24225b661cb4f5d6c9fba Flash News : https://data.lacounty.gov/groups/c309c0da93854b8eafc36afefead32d8 Biden last Talk : https://data.lacounty.gov/groups/59e66f937dff40df8c9822f168026896 Russian Ukrain Breaking News : https://www.sheffield.ac.uk/js/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohackaccountnnnew_3132535245&Connector=https://unitedstatednews.com Other Sources : https://data.iowadot.gov/groups/47a596132b744265a5cb58fd9589b637 https://data.lacounty.gov/groups/3b4628f4ee0b4976ab77f113248d1f72 https://data.lacounty.gov/groups/aeaad5b8b96c49dc9337907d74de0f93 https://data.lacounty.gov/groups/262caed4f6414aec9a2251ce9f58a2c4 https://data.lacounty.gov/groups/979fdda85abb4d69980e9a96a7040336 https://data.lacounty.gov/groups/a6643ceecfaf4860b3e471e755da15d3 https://data.lacounty.gov/groups/4b5f2e6b36a642899d2cc202900c8e70 https://data.iowadot.gov/groups/9b3049d821174fa2827941eb6ca93618 https://data.iowadot.gov/groups/37b2424f3a794a29b07ae1eda9795f9f https://data.lacounty.gov/groups/272302a0149a489ebd9b85dee7fe6606 https://data.lacounty.gov/groups/920ea0b30c7145bdb519839c098dc6d5 https://huggingface.co/edthrth/Heinous-killers-banned-from-marrying-in-prison-fb-updated https://storymaps.arcgis.com/stories/b17dbf84496641bbb8c4753d5fe3d082 https://data.iowadot.gov/groups/d11d07b72bc24225b661cb4f5d6c9fba Christina Jean Boggs, 34, was pronounced dead at the scene after telling her friend the night before that she felt unwell. An inquest held at Bournemouth Town Hall on August 1 heard a statement from Christina's parents, Lisa and Derek Boggs. "Christina was a troubled but very lovely girl who was loving, caring, sensitive and fiercely loyal with a great sense of humour," they said. It was heard that Christina had an eight-year-old daughter who she loved but was prevented from seeing. "We love and miss her so much," said Mr and Mrs Boggs. Bob Morris, team leader at We Are With You, a support charity, said in a statement that Christina had been receiving treatment for her drug addiction since February 2020 but had been known to the service since 2012. In February 2024 Christina was seen by a prescription nurse regarding her methadone prescription, which treats heroin dependency. The nurse raised concerns of Christina's risk of overdose due to the other drugs she was taking. Mr Morris said that Christina wanted to "stop using and get her life back." Andrea Rowley, Christina's friend, said Christina was homeless and sleeping in a tent in the days before her death. However, at around 9pm on February 21 Christina came to Andrea's flat on Poole Road seeking "a roof over head" after her tent was damaged. Christina said she was feeling unwell, but was not withdrawing from drugs, and wanted to go to sleep. Andrea went to her bedroom and did not return to the living room until 10.30am the next day where she found Christina unresponsive on the sofa. She phoned the ambulance service, who talked her through resuscitation before paramedics arrived, but Christina sadly pronounced dead at the scene. PC Alex Martin, a response officer at Dorset Police, said he found no evidence of foul play or drug paraphernalia in the flat. Following her death, toxicologist, Rob Moore, said he found a regular level of methadone in Christina's blood. He added that metabolites of other drugs were found which suggests non-recent use. A postmortem examination conducted by Dr Albadry concluded her medical cause of death to be respiratory depression from combined use of drugs and alcohol. Assistant coroner for Dorset, Richard Middleton, concluded that Christina died from a drug-related death.....

bunnycore/CrazyLlama-3.1-8B

bunnycore

--- license: apache-2.0 tags: - merge - mergekit - lazymergekit - arcee-ai/Llama-Spark+grimjim/Llama-3-Instruct-abliteration-LoRA-8B --- # CrazyLlama-3.1-8B CrazyLlama-3.1-8B is a merge of the following models using [mergekit](https://github.com/cg123/mergekit): * [arcee-ai/Llama-Spark+grimjim/Llama-3-Instruct-abliteration-LoRA-8B](https://huggingface.co/arcee-ai/Llama-Spark+grimjim/Llama-3-Instruct-abliteration-LoRA-8B) ## 🧩 Configuration ```yaml base_model: arcee-ai/Llama-Spark+grimjim/Llama-3-Instruct-abliteration-LoRA-8B dtype: bfloat16 merge_method: task_arithmetic parameters: normalize: false slices: - sources: - layer_range: [0, 32] model: arcee-ai/Llama-Spark+grimjim/Llama-3-Instruct-abliteration-LoRA-8B parameters: weight: 1.0 ```

cauaveiga/ppo-SnowballTarget

cauaveiga

ml-agents

reinforcement-learning

--- library_name: ml-agents tags: - SnowballTarget - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). ## Usage (with ML-Agents) The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/ We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub: - A *short tutorial* where you teach Huggy the Dog 🐶 to fetch the stick and then play with him directly in your browser: https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction - A *longer tutorial* to understand how works ML-Agents: https://huggingface.co/learn/deep-rl-course/unit5/introduction ### Resume the training ```bash mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume ``` ### Watch your Agent play You can watch your agent **playing directly in your browser** 1. If the environment is part of ML-Agents official environments, go to https://huggingface.co/unity 2. Step 1: Find your model_id: cauaveiga/ppo-SnowballTarget 3. Step 2: Select your *.nn /*.onnx file 4. Click on Watch the agent play 👀

ajrayman/IngroupLoyalty_continuous

ajrayman

--- license: mit base_model: roberta-base tags: - generated_from_trainer model-index: - name: IngroupLoyalty_continuous results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # IngroupLoyalty_continuous This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.0332 - Rmse: 0.1822 - Mae: 0.1441 - Corr: 0.3378 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rmse | Mae | Corr | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:| | No log | 1.0 | 253 | 0.0335 | 0.1829 | 0.1441 | 0.3412 | | 0.0428 | 2.0 | 506 | 0.0332 | 0.1822 | 0.1441 | 0.3378 | ### Framework versions - Transformers 4.43.3 - Pytorch 2.4.0 - Datasets 2.20.0 - Tokenizers 0.19.1

rishavranaut/flant5_log_bins

rishavranaut

Entry not found

mradermacher/LocalAI-Llama3.1-8b-Function-Call-v0.3-GGUF

mradermacher

transformers

--- base_model: mudler/LocalAI-Llama3.1-8b-Function-Call-v0.3 language: - en library_name: transformers license: llama3 quantized_by: mradermacher tags: - LocalAI --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> static quants of https://huggingface.co/mudler/LocalAI-Llama3.1-8b-Function-Call-v0.3 <!-- provided-files --> weighted/imatrix quants are available at https://huggingface.co/mradermacher/LocalAI-Llama3.1-8b-Function-Call-v0.3-i1-GGUF ## Usage If you are unsure how to use GGUF files, refer to one of [TheBloke's READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for more details, including on how to concatenate multi-part files. ## Provided Quants (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) | Link | Type | Size/GB | Notes | |:-----|:-----|--------:|:------| | [GGUF](https://huggingface.co/mradermacher/LocalAI-Llama3.1-8b-Function-Call-v0.3-GGUF/resolve/main/LocalAI-Llama3.1-8b-Function-Call-v0.3.Q2_K.gguf) | Q2_K | 3.3 | | | [GGUF](https://huggingface.co/mradermacher/LocalAI-Llama3.1-8b-Function-Call-v0.3-GGUF/resolve/main/LocalAI-Llama3.1-8b-Function-Call-v0.3.IQ3_XS.gguf) | IQ3_XS | 3.6 | | | [GGUF](https://huggingface.co/mradermacher/LocalAI-Llama3.1-8b-Function-Call-v0.3-GGUF/resolve/main/LocalAI-Llama3.1-8b-Function-Call-v0.3.Q3_K_S.gguf) | Q3_K_S | 3.8 | | | [GGUF](https://huggingface.co/mradermacher/LocalAI-Llama3.1-8b-Function-Call-v0.3-GGUF/resolve/main/LocalAI-Llama3.1-8b-Function-Call-v0.3.IQ3_S.gguf) | IQ3_S | 3.8 | beats Q3_K* | | [GGUF](https://huggingface.co/mradermacher/LocalAI-Llama3.1-8b-Function-Call-v0.3-GGUF/resolve/main/LocalAI-Llama3.1-8b-Function-Call-v0.3.IQ3_M.gguf) | IQ3_M | 3.9 | | | [GGUF](https://huggingface.co/mradermacher/LocalAI-Llama3.1-8b-Function-Call-v0.3-GGUF/resolve/main/LocalAI-Llama3.1-8b-Function-Call-v0.3.Q3_K_M.gguf) | Q3_K_M | 4.1 | lower quality | | [GGUF](https://huggingface.co/mradermacher/LocalAI-Llama3.1-8b-Function-Call-v0.3-GGUF/resolve/main/LocalAI-Llama3.1-8b-Function-Call-v0.3.Q3_K_L.gguf) | Q3_K_L | 4.4 | | | [GGUF](https://huggingface.co/mradermacher/LocalAI-Llama3.1-8b-Function-Call-v0.3-GGUF/resolve/main/LocalAI-Llama3.1-8b-Function-Call-v0.3.IQ4_XS.gguf) | IQ4_XS | 4.6 | | | [GGUF](https://huggingface.co/mradermacher/LocalAI-Llama3.1-8b-Function-Call-v0.3-GGUF/resolve/main/LocalAI-Llama3.1-8b-Function-Call-v0.3.Q4_K_S.gguf) | Q4_K_S | 4.8 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/LocalAI-Llama3.1-8b-Function-Call-v0.3-GGUF/resolve/main/LocalAI-Llama3.1-8b-Function-Call-v0.3.Q4_K_M.gguf) | Q4_K_M | 5.0 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/LocalAI-Llama3.1-8b-Function-Call-v0.3-GGUF/resolve/main/LocalAI-Llama3.1-8b-Function-Call-v0.3.Q5_K_S.gguf) | Q5_K_S | 5.7 | | | [GGUF](https://huggingface.co/mradermacher/LocalAI-Llama3.1-8b-Function-Call-v0.3-GGUF/resolve/main/LocalAI-Llama3.1-8b-Function-Call-v0.3.Q5_K_M.gguf) | Q5_K_M | 5.8 | | | [GGUF](https://huggingface.co/mradermacher/LocalAI-Llama3.1-8b-Function-Call-v0.3-GGUF/resolve/main/LocalAI-Llama3.1-8b-Function-Call-v0.3.Q6_K.gguf) | Q6_K | 6.7 | very good quality | | [GGUF](https://huggingface.co/mradermacher/LocalAI-Llama3.1-8b-Function-Call-v0.3-GGUF/resolve/main/LocalAI-Llama3.1-8b-Function-Call-v0.3.Q8_0.gguf) | Q8_0 | 8.6 | fast, best quality | | [GGUF](https://huggingface.co/mradermacher/LocalAI-Llama3.1-8b-Function-Call-v0.3-GGUF/resolve/main/LocalAI-Llama3.1-8b-Function-Call-v0.3.f16.gguf) | f16 | 16.2 | 16 bpw, overkill | Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):  And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9 ## FAQ / Model Request See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized. ## Thanks I thank my company, [nethype GmbH](https://www.nethype.de/), for letting me use its servers and providing upgrades to my workstation to enable this work in my free time. <!-- end -->

edthrth/43-German-shepherds-seized-by-BC-SPCA-from-property-near-Prince-George-hh-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/12c17845094645d7b70e59be8f7db1bd Source : https://data.iowadot.gov/groups/3a7f4b3629854b959b1753dda2ae1ed4 Flash News : https://data.iowadot.gov/groups/06a00cdd1e164a25bf09ff3cda45a039 Biden last Talk : https://data.lacounty.gov/groups/6b61baed1b2645e0a0dd784044b965aa Russian Ukrain Breaking News : https://data.iowadot.gov/groups/994af2af6af04d9e907c616b9b732e93 Other Sources : https://data.lacounty.gov/groups/8fe8902bcf844efda8796b929b32e4ce https://data.lacounty.gov/groups/772acd9e3e7343b39702eb8178436463 https://data.lacounty.gov/groups/ab2c44c67c78400aaabfaa414f2deffb https://storymaps.arcgis.com/stories/e0c4230e1e3a485fa0b58fc6a598ee15 https://data.iowadot.gov/groups/7b9df14337944bb6a2ed3b876f97676a https://data.lacounty.gov/groups/99331a60b07244858b51c86d31dd393d https://data.lacounty.gov/groups/beea2884544e42d2b6c007913c75cf7a https://data.lacounty.gov/groups/99331a60b07244858b51c86d31dd393d https://data.lacounty.gov/groups/57003d2703314efdaa38e9d8764b9fc9 https://data.iowadot.gov/groups/d11d07b72bc24225b661cb4f5d6c9fba https://data.lacounty.gov/groups/973c51906a744b23897c135afcea7044 https://data.lacounty.gov/groups/99331a60b07244858b51c86d31dd393d https://data.iowadot.gov/groups/01f3c942b4b44a8585262b0b42b6febd https://data.lacounty.gov/groups/3e565394dda9416f924636520bc5b905 B.C. SPCA animal protection officers have seized 43 German shepherds from an "irresponsible breeder," who was housing them on a property southeast of Prince George. Thirty-one adult German shepherds and 12 puppies were recently seized, according to a BC SPCA release Thursday (Aug. 1). B.C. SPCA's chief of protection and outreach services Marcie Moriarty said the conditions the dogs were living in were horrible. She said the plywood floors in their outdoor kennels were soaked with urine and there were piles of feces. Water was visible in each kennel, but there were no signs of food. "The stench was overwhelming." She said the dogs were exhibiting signs of distress, from circling and weaving inside their kennels to bashing their muzzles into the walls. "When our animal protection officers entered their kennels, the dogs were so paralyzed with fear that some just cowered in the back corner, staring into the wall. It was heartbreaking." It was when animal protection officers began to lift the dogs into crates that they noticed how underweight the animals were. "Their body condition scores range from a three to as low as a one out of nine," she said. "An ideal score would be five." The puppies range in age from one week to nine months old, with the youngest found with their mother in a dark basement in the house in a plastic pool with only paper towels for bedding. Another mother and her puppies were in a confined space, "with ammonia levels so high it was physically uncomfortable for the animal protection officers." The B.C. SPCA said the dogs are currently being assessed at the North Cariboo animal centre. Most of the older dogs are suffering from stiff, arthritic joints, damaged teeth and some have painful stomach issues or visible wounds.....

Krabat/google-gemma-2b-1722636476

Krabat

peft

--- base_model: google/gemma-2b library_name: peft --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed] ### Framework versions - PEFT 0.12.0

ericlewis/SmolLM-1.7B-Instruct-KTO-V4

ericlewis

transformers

text-generation

--- base_model: HuggingFaceTB/SmolLM-1.7B-Instruct language: - en license: apache-2.0 tags: - text-generation-inference - transformers - unsloth - llama - trl --- # Uploaded model - **Developed by:** ericlewis - **License:** apache-2.0 - **Finetuned from model :** HuggingFaceTB/SmolLM-1.7B-Instruct This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

edthrth/Iran-allies-ready-joint-retaliation-3a-updated

edthrth

--- language: - en --- []() read the full article here : https://groups.google.com/g/retro-comp/c/awafMSiD9nU Source : https://data.lacounty.gov/groups/ef97a3a00db74849b200c7befe7977ae Flash News : https://data.iowadot.gov/groups/c57a4b58da7347aa96c73d9baf453195 Biden last Talk : https://data.lacounty.gov/groups/191b8d8656c142079b74f5c2fefc1794 Russian Ukrain Breaking News : https://data.iowadot.gov/groups/ddf41be60549428e9c7f10117e489193 Other Sources : https://data.iowadot.gov/groups/c45991364bae4590863490683aae42e6 https://data.lacounty.gov/groups/a61893ea71f749928f5ff962cb539c00 https://data.lacounty.gov/groups/e85144fa94184e51afc75ffcbb8a3c6b https://data.iowadot.gov/groups/899c4b461d3c4f709fe2206561efc24c https://huggingface.co/edthrth/43-German-shepherds-seized-by-BC-SPCA-from-property-near-Prince-George-fg-updated https://data.lacounty.gov/groups/f555660e657c4019909e62f5606d2fcf https://data.lacounty.gov/groups/2e4cddeb6f494454966b4bb33b99808f https://data.lacounty.gov/groups/5ff19d3465cc40228709f73bce6432ef https://data.lacounty.gov/groups/8b905fa804674c33b001c9bd25e57cec https://feedbackportal.microsoft.com/feedback/idea/9aaa2f09-2a4f-ef11-b4ad-0022484d3ecc https://data.lacounty.gov/groups/f8cf3d677f324e708859392bea6031d8 https://data.iowadot.gov/groups/c96d0ce2e6dc412ea3706194f830c0cf https://data.iowadot.gov/groups/22aba6f9a1fa4da8a9afff42196a879e https://data.iowadot.gov/groups/c96d0ce2e6dc412ea3706194f830c0cf Iranians take part in a funeral ceremony for late Hamas leader Ismail Haniyeh, in Tehran,Yesterday. Iran and its regional allies vowed retaliation yesterday for the deaths of Hamas and Hezbollah leaders, raising regional tensions as mourners filled Tehran's city centre calling for revenge. A public funeral was held for Hamas's political chief Ismail Haniyeh in the Iranian capital where he was killed early Wednesday in an attack which Israel has not commented on. Haniyeh's body was then flown to Qatar, where he is to be laid to rest today, when his group called for a "day of furious rage" in the Palestinian territories and across the region. Hezbollah chief Hassan Nasrallah, addressing the funeral of the Lebanese group's top military commander, said Israel and "those who are behind it must await our inevitable response" to Fuad Shukr's and Haniyeh's killings within hours of each other. "You do not know what red lines you crossed," Nasrallah said, addressing Israel, a day after Shukr was killed in a strike in south Beirut. Israel, which said Shukr's assassination was a response to deadly rocket fire last week on the occupied Golan Heights, warned its adversaries yesterday they would "pay a very high price" for any "aggression". A source close to Hezbollah told AFP that Iranian officials met in Tehran on Wednesday with representatives of the so-called "axis of resistance\....

elmrc/JuhainaL2

elmrc

--- license: mit --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1). ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]

Aliaa55/swin-tiny-patch4-window7-224-finetuned-eurosat

Aliaa55

--- license: apache-2.0 base_model: microsoft/swin-tiny-patch4-window7-224 tags: - generated_from_trainer datasets: - imagefolder metrics: - accuracy model-index: - name: swin-tiny-patch4-window7-224-finetuned-eurosat results: - task: name: Image Classification type: image-classification dataset: name: imagefolder type: imagefolder config: default split: train args: default metrics: - name: Accuracy type: accuracy value: 0.8658536585365854 --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # swin-tiny-patch4-window7-224-finetuned-eurosat This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset. It achieves the following results on the evaluation set: - Loss: 0.5007 - Accuracy: 0.8659 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 5e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 128 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:------:|:----:|:---------------:|:--------:| | No log | 0.8696 | 5 | 0.5007 | 0.8659 | | 0.6369 | 1.9130 | 11 | 0.4333 | 0.8659 | | 0.6369 | 2.6087 | 15 | 0.4165 | 0.8659 | ### Framework versions - Transformers 4.42.4 - Pytorch 2.3.1+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1

terzotech/my_awesome_asr_mind_model

terzotech

--- license: apache-2.0 base_model: facebook/wav2vec2-base tags: - generated_from_trainer datasets: - minds14 model-index: - name: my_awesome_asr_mind_model results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # my_awesome_asr_mind_model This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset. ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 1e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 16 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 500 - training_steps: 2000 - mixed_precision_training: Native AMP ### Framework versions - Transformers 4.43.3 - Pytorch 2.4.0+cu118 - Datasets 2.20.0 - Tokenizers 0.19.1

edthrth/Bipartisan-tax-package-blocked-as-senators-head-for-exits-dh-updated

edthrth

--- language: - en --- []() read the full article here : https://groups.google.com/g/retro-comp/c/zqiVMsDNLns Source : https://data.lacounty.gov/groups/aeaad5b8b96c49dc9337907d74de0f93 Flash News : https://data.lacounty.gov/groups/feaf2b038d744076b39cfed4f660a6e9 Biden last Talk : https://data.lacounty.gov/groups/18cd7b1edcee4a089f52c85c24275352 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/f8cf3d677f324e708859392bea6031d8 Other Sources : https://data.iowadot.gov/groups/7836289a5f834421acb640d5242b3ea6 https://data.lacounty.gov/groups/3013a2d98f4d4b94ba2a3a5279995520 https://data.lacounty.gov/groups/262caed4f6414aec9a2251ce9f58a2c4 https://data.lacounty.gov/groups/262caed4f6414aec9a2251ce9f58a2c4 https://data.lacounty.gov/groups/57003d2703314efdaa38e9d8764b9fc9 https://data.lacounty.gov/groups/e85144fa94184e51afc75ffcbb8a3c6b https://data.iowadot.gov/groups/ddf41be60549428e9c7f10117e489193 https://data.lacounty.gov/groups/646ddebfd5da4cd587ca71ef5fa25109 https://data.iowadot.gov/groups/c57a4b58da7347aa96c73d9baf453195 https://data.lacounty.gov/groups/ef97a3a00db74849b200c7befe7977ae https://feedbackportal.microsoft.com/feedback/idea/42431e2f-184f-ef11-b4ad-0022484d3ecc https://storymaps.arcgis.com/stories/5d8c2649569f49769f204217209a9391 https://data.iowadot.gov/groups/f00adba8005543aab1d20c68d621613f https://data.lacounty.gov/groups/3e565394dda9416f924636520bc5b905 WASHINGTON -- The Senate fell short as expected Thursday of the 60 votes needed to start debate on a $79 billion tax bill that would deliver financial relief to businesses and low-income families, amid opposition from most Republicans and some on the majority side of the aisle as well. Though the procedural vote was expected to go down, Democrats hope Republicans' opposition to expanding the child tax credit will hurt the GOP on the campaign trail and give their own vulnerable members facing tough races a boost. Senate Majority Leader Charles E. Schumer of New York also accused Republicans of voting against the bill to avoid giving Democrats a win so close to the election. "Senate Republicans love to talk about they are the party of family and business, so it's very odd to see them come out so aggressively against expanding the child tax credit and rewarding businesses with the [research and development] tax credit, but that seems to be what they're doing," Schumer said on the floor ahead of the vote. "Senate Republicans can either choose bipartisanship and get this done now, or they can choose partisanship [and] leave families hanging out to dry." The measure wouldn't affect separate R&D credits, but it would restore companies' ability to claim full deductions for research expenses in the first year, something a broad coalition of industries has been angling for since that tax break got less generous at the start of 2022. The Senate voted 48-44 on cloture on the motion to consider the tax bill negotiated by Senate Finance Chairman Ron Wyden, D-Ore., and House Ways and Means Chairman Jason Smith, R-Mo. Schumer changed his vote to 'nay,' to allow the option to reconsider the cloture motion at a later date. Schumer hinted that he might bring the motion up again after lawmakers return from August recess. "I'm hopeful that Republicans when they go home will feel the heat," Schumer said at a press conference following the vote. "I'm hopeful that they will come back and stop their intransigent position that they're not going to do anything because Donald Trump doesn't want to see any accomplishments here." The bill would revive a trio of business tax breaks, including the full upfront deduction of research and development expenses, and expand the child tax credit to make it more generous to low-income families. The House passed the legislation on a 357-70 vote in January. GOP senators, including Minority Leader Mitch McConnell of Kentucky, dismissed the vote as a political ploy, citing the timing of holding a cloture vote right before the Senate leaves town for August recess. "Today's vote doesn't seem intended to produce a legislative outcome. The Democratic leader himself admitted this week that losing the vote would be a political benefit to vulnerable Senate Democrats running for reelection," McConnell said on the floor. "Well, I'm not so certain the American people are impressed by message votes, and I don't think they give out points for incomplete work." Defections Republicans nearly uniformly voted against the motion. Exceptions included Josh Hawley of Missouri, Markwayne Mullin of Oklahoma and Rick Scott of Florida, who's mounting a long-shot bid to succeed McConnell as GOP leader next year. Former President Donald Trump's running mate JD Vance did not make it back from the campaign trail for the vote. The bill's expansion of child tax credit and tax relief for victims of the East Palestine train derailment would have made it a difficult vote for the Ohio Republican, who has floated giving preferential treatment to families, including imposing a higher tax rate on child-free people and allowing parents to vote on behalf of minor children. Democrats took aim at Vance, who was in Arizona visiting the southern border on Thursday, for missing the Senate action. "When the American people vote in November, they'll remember that when Vance had a chance to show up for working families, he was nowhere to be found," Democratic National Committee spokesperson Aida Ross said in a statement. All Democrats backed the cloture motion, though two independents who caucus with that side of the aisle did not: Bernie Sanders of Vermont and Joe Manchin III of West Virginia. Manchin has cited issues with the child tax credit, as well as concerns about adding to the deficit. The bill's cost would be offset by bringing the pandemic-era employee retention tax credit to an early end. In a statement, Sanders, a self-described democratic socialist, said the tax bill was too tilted towards business breaks. "When all is said and done, this bill would provide at least $3 in corporate tax breaks for every $1 in tax cuts for working families with children," Sanders said. "That is not a good deal for working families." 'Calculated move' Sen. Michael D. Crapo, top Republican on the Senate Finance Committee, called on Democrats to break apart the bill and vote on pieces individually. That would require separate votes on tax breaks for disaster victims, ending double-taxation of U.S. companies operating in Taiwan, restoring the lost business deductions and ending the pandemic-era employee retention tax credit, which is currently the offset for the rest of the package. Wyden previously has dismissed this suggestion. "While Senate Republicans have also been accused of playing politics, the timing of today's vote -- coupled with the lack of meaningful engagement since January to reach a compromise -- confirms that the strategy was always a take-it-or-leave-it proposition in the Senate," Crapo, R-Idaho, said on the floor. Earlier in the week Crapo said he hoped defeat on the floor would bring Democrats to the negotiating table. But senators have had months to work on compromise legislation, and Wyden says he and the Idaho Republican traded offers that went nowhere. "Senate Republicans had a seat at the negotiating table as we worked on this bill for seven months, and they stalled for another six after the House passed it with an overwhelming bipartisan vote in January. The goalposts kept moving," Wyden said in a statement after the vote. "For any Senate Republicans to claim they were denied an opportunity to put their mark on it is absurd." Wyden offered to remove a provision allowing families to use the previous year's income to qualify for the child tax credit, which Republicans have objected to, citing work requirements, and replace it with a different provision targeting aid at similarly situated low-income families. Republicans' counterproposal would have alienated every Democrat in the Senate, Wyden said, adding that it was tied to immigration. Conservatives in the House proposed blocking immigrant parents from collecting the child tax credit on behalf of children who are U.S. citizens. Crapo previously said he was sympathetic to the idea. Wyden also accused Republicans of holding out until next year, when they would be in a stronger negotiating position if they retake the Senate in November and likely will have to address the expiration of parts of the 2017 tax law. It's a calculation some GOP senators have also voiced. "We can get a lot better deal in terms of renewing tax cuts on a permanent basis by waiting, in my opinion," said Sen. John Kennedy, R-La. "I don't see it as a gamble. I see it as a calculated move."....

masanorihanada/kanji_train_mini

masanorihanada

Invalid username or password.

lapp0/gpt2_bitnet_logit_distillation_test_metrics2

lapp0

--- license: mit base_model: gpt2 tags: - generated_from_trainer model-index: - name: gpt2_bitnet_logit_distillation_test_metrics2 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # gpt2_bitnet_logit_distillation_test_metrics2 This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 6037.7598 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 4e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 0 | 0 | 7592.9600 | | 6688.0 | 1.0 | 57 | 6287.3599 | | 5824.0 | 2.0 | 114 | 6044.1602 | | 6400.0 | 3.0 | 171 | 6037.7598 | ### Framework versions - Transformers 4.42.4 - Pytorch 2.3.0 - Datasets 2.20.0 - Tokenizers 0.19.1

edthrth/Early-years-needs-urgent-attention-as-focus-too-often-on-parents-report-42-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/a6643ceecfaf4860b3e471e755da15d3 Source : https://data.lacounty.gov/groups/bf6d515bd3674b8b8ee8b85b0311ebc2 Flash News : https://data.iowadot.gov/groups/ca8244aaf4624c0e84731ff2009dc565 Biden last Talk : https://data.lacounty.gov/groups/ae8d0c1e810f421194d64d66db29ac36 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/17c95b16327042548d720aa972bc0e3e Other Sources : https://data.iowadot.gov/groups/37b2424f3a794a29b07ae1eda9795f9f https://www.sheffield.ac.uk/js/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohackaccountnnnew_2245331453&Connector=https://unitedstatednews.com https://data.iowadot.gov/groups/ca8244aaf4624c0e84731ff2009dc565 https://data.iowadot.gov/groups/ddf41be60549428e9c7f10117e489193 https://data.lacounty.gov/groups/d777d94051db48f1a84d814cfbe5be85 https://data.lacounty.gov/groups/3e565394dda9416f924636520bc5b905 https://data.lacounty.gov/groups/18cd7b1edcee4a089f52c85c24275352 https://data.lacounty.gov/groups/7af06f1aac20479182370b1a8f884648 https://data.lacounty.gov/groups/d3309f3de7944f2c82348f086d999553 https://data.lacounty.gov/groups/914ecd47a1dc423b9662e1aea759db13 https://data.lacounty.gov/groups/3b4628f4ee0b4976ab77f113248d1f72 https://data.iowadot.gov/groups/aa49134337364a7f9e1dc249603220f0 https://data.lacounty.gov/groups/9b7604f0767a47d0984491a1e824edc0 https://data.iowadot.gov/groups/d11d07b72bc24225b661cb4f5d6c9fba Health visitors must be given the power to trigger joint visits from social care specialists such as drug abuse counsellors, a report has said as it warned infant services are often too focused on a child's parents. The report into provision for children up to five years old, produced by the South-West Social Mobility Commission at the University of Exeter, said the early years sector "needs to be given urgent attention". It cited a loss of childcare places, a "crisis" in recruitment and retention in both health visiting and early years provision, and a lack of resource and funding in local government. Among a series of recommendations, the report said councils should be prepared to send other social service professionals including welfare rights advisers or drug abuse counsellors on visits "so that a multi-service approach to the wider family is delivered". The report, which said health visitors should be able to trigger these joint visits, noted how often "children's services are often better understood as parent services". Interviewees said "too many of those who are involved in an infant's life do not see the child". Some said this was a negative thing as it led to services neglecting the infants, arguing that health visits which are more focused on dealing with substance addiction or domestic abuse mean little time is spent on discussions of the child's welfare. But others thought helping parents had direct, positive consequences for children, noting that lingering problems related to health and finances mean parents can be less well equipped to provide for their children, the report said. Dr Antony Mullen, the report's principal author, said: "What happens in children's earliest years of life is foundational to their future success. "Health visitors are increasingly expected to deal with parental issues like drug abuse, financial issues and domestic abuse problems. There is a danger services have become more focused on parents than the infants. "Long-term, large-scale investment in the sector is needed, and in this report we show how there are also low and no-cost solutions that can be implemented locally and relatively quickly." Former Ofsted chief Sir David Bell has endorsed the report, which involved interviews with 27 expert informants ranging from health visitors to people in local government and early years teachers, saying it "expertly binds together practice and policy to provide a series of important recommendations". The report calls for a Cabinet or deputy Cabinet member for the infant, an expansion of the number of professional psychologists working in the field of infant mental health and for local authorities to monitor the ratio of children to childcare places to allow a case to be made for additional funding to expand provision within the sector where needed. The report referenced research by the Institute of Health Visiting (iHV), published earlier this year, which found that increasing poverty is the cause of greatest concern to health visitor, with the vast majority having reported a rise in the number of families affected by the issue in past 12 months. Almost nine in 10 health visitors surveyed said they had seen an increase in the use of food banks, while half reported more families skipping meals as a result of the cost-of-living crisis, that research showed. The iHV described its research as the largest survey of frontline health visitors working with families with babies and young children across the UK. The issue of child poverty has been a challenge for the new Labour Government, with Prime Minister Sir Keir Starmer challenged last month over his refusal to immediately axe the two-child benefit cap. Seven Labour MPs were suspended by the party after backing an SNP motion to scrap the welfare measure in a vote in Parliament. The latest figures published by the Department for Work and Pensions showed there were 1.6 million children living in households affected by the policy as of April this year, up from 1.5 million to April 2023. Labour has cited spending controls as a reason for not being able to immediately ditch the policy, indicating there would be no change to the policy without economic growth. Sir David said: "A high-quality experience in the early years can have a profoundly positive effect on children, particularly those from the most disadvantaged backgrounds. "Thoughtful and well-evidenced reports such as this one will play a key role as we work together to make the United Kingdom the best place in the world to be a child and to grow up." A Government spokesperson said: "This Government sees the early years as more than just childcare; it is central to our mission to break down barriers to opportunity, create the healthiest generation of children ever and give every child the best start in life. "We're committed to working closely with sector partners and providers to support the most vulnerable and disadvantaged children and will deliver real change by integrating childcare and early years into the wider education system as a national priority."....

Peacoc/37_best_t_120_2

Peacoc

transformers

text-generation

--- library_name: transformers tags: [] --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]

Krabat/Qwen-Qwen1.5-0.5B-1722636756

Krabat

peft

--- base_model: Qwen/Qwen1.5-0.5B library_name: peft --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed] ### Framework versions - PEFT 0.12.0

mradermacher/Evolved-Llama3-8B-i1-GGUF

mradermacher

transformers

--- base_model: kinakomochi/Evolved-Llama3-8B language: - en library_name: transformers license: apache-2.0 quantized_by: mradermacher tags: - merge - mergekit - lazymergekit --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: nicoboss --> weighted/imatrix quants of https://huggingface.co/kinakomochi/Evolved-Llama3-8B <!-- provided-files --> static quants are available at https://huggingface.co/mradermacher/Evolved-Llama3-8B-GGUF ## Usage If you are unsure how to use GGUF files, refer to one of [TheBloke's READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for more details, including on how to concatenate multi-part files. ## Provided Quants (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) | Link | Type | Size/GB | Notes | |:-----|:-----|--------:|:------| | [GGUF](https://huggingface.co/mradermacher/Evolved-Llama3-8B-i1-GGUF/resolve/main/Evolved-Llama3-8B.i1-IQ1_S.gguf) | i1-IQ1_S | 1.7 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/Evolved-Llama3-8B-i1-GGUF/resolve/main/Evolved-Llama3-8B.i1-IQ1_M.gguf) | i1-IQ1_M | 1.9 | mostly desperate | | [GGUF](https://huggingface.co/mradermacher/Evolved-Llama3-8B-i1-GGUF/resolve/main/Evolved-Llama3-8B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.1 | | | [GGUF](https://huggingface.co/mradermacher/Evolved-Llama3-8B-i1-GGUF/resolve/main/Evolved-Llama3-8B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.3 | | | [GGUF](https://huggingface.co/mradermacher/Evolved-Llama3-8B-i1-GGUF/resolve/main/Evolved-Llama3-8B.i1-IQ2_S.gguf) | i1-IQ2_S | 2.4 | | | [GGUF](https://huggingface.co/mradermacher/Evolved-Llama3-8B-i1-GGUF/resolve/main/Evolved-Llama3-8B.i1-IQ2_M.gguf) | i1-IQ2_M | 2.6 | | | [GGUF](https://huggingface.co/mradermacher/Evolved-Llama3-8B-i1-GGUF/resolve/main/Evolved-Llama3-8B.i1-Q2_K.gguf) | i1-Q2_K | 2.8 | IQ3_XXS probably better | | [GGUF](https://huggingface.co/mradermacher/Evolved-Llama3-8B-i1-GGUF/resolve/main/Evolved-Llama3-8B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 2.9 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Evolved-Llama3-8B-i1-GGUF/resolve/main/Evolved-Llama3-8B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 3.1 | | | [GGUF](https://huggingface.co/mradermacher/Evolved-Llama3-8B-i1-GGUF/resolve/main/Evolved-Llama3-8B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.3 | IQ3_XS probably better | | [GGUF](https://huggingface.co/mradermacher/Evolved-Llama3-8B-i1-GGUF/resolve/main/Evolved-Llama3-8B.i1-IQ3_S.gguf) | i1-IQ3_S | 3.3 | beats Q3_K* | | [GGUF](https://huggingface.co/mradermacher/Evolved-Llama3-8B-i1-GGUF/resolve/main/Evolved-Llama3-8B.i1-IQ3_M.gguf) | i1-IQ3_M | 3.4 | | | [GGUF](https://huggingface.co/mradermacher/Evolved-Llama3-8B-i1-GGUF/resolve/main/Evolved-Llama3-8B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 3.6 | IQ3_S probably better | | [GGUF](https://huggingface.co/mradermacher/Evolved-Llama3-8B-i1-GGUF/resolve/main/Evolved-Llama3-8B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 3.9 | IQ3_M probably better | | [GGUF](https://huggingface.co/mradermacher/Evolved-Llama3-8B-i1-GGUF/resolve/main/Evolved-Llama3-8B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 4.0 | | | [GGUF](https://huggingface.co/mradermacher/Evolved-Llama3-8B-i1-GGUF/resolve/main/Evolved-Llama3-8B.i1-Q4_0.gguf) | i1-Q4_0 | 4.2 | fast, low quality | | [GGUF](https://huggingface.co/mradermacher/Evolved-Llama3-8B-i1-GGUF/resolve/main/Evolved-Llama3-8B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 4.2 | optimal size/speed/quality | | [GGUF](https://huggingface.co/mradermacher/Evolved-Llama3-8B-i1-GGUF/resolve/main/Evolved-Llama3-8B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 4.5 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Evolved-Llama3-8B-i1-GGUF/resolve/main/Evolved-Llama3-8B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 5.1 | | | [GGUF](https://huggingface.co/mradermacher/Evolved-Llama3-8B-i1-GGUF/resolve/main/Evolved-Llama3-8B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 5.2 | | | [GGUF](https://huggingface.co/mradermacher/Evolved-Llama3-8B-i1-GGUF/resolve/main/Evolved-Llama3-8B.i1-Q6_K.gguf) | i1-Q6_K | 6.0 | practically like static Q6_K | Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):  And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9 ## FAQ / Model Request See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized. ## Thanks I thank my company, [nethype GmbH](https://www.nethype.de/), for letting me use its servers and providing upgrades to my workstation to enable this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to. <!-- end -->

mradermacher/Bioinspired-Llama-3-1-8B-128k-gamma-i1-GGUF

mradermacher

transformers

--- base_model: lamm-mit/Bioinspired-Llama-3-1-8B-128k-gamma language: - en library_name: transformers quantized_by: mradermacher tags: - biology - chemistry - biological materials - materials science - engineering - materials informatics - scientific AI - AI4science - Llama-3-1 --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: nicoboss --> weighted/imatrix quants of https://huggingface.co/lamm-mit/Bioinspired-Llama-3-1-8B-128k-gamma <!-- provided-files --> static quants are available at https://huggingface.co/mradermacher/Bioinspired-Llama-3-1-8B-128k-gamma-GGUF ## Usage If you are unsure how to use GGUF files, refer to one of [TheBloke's READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for more details, including on how to concatenate multi-part files. ## Provided Quants (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) | Link | Type | Size/GB | Notes | |:-----|:-----|--------:|:------| | [GGUF](https://huggingface.co/mradermacher/Bioinspired-Llama-3-1-8B-128k-gamma-i1-GGUF/resolve/main/Bioinspired-Llama-3-1-8B-128k-gamma.i1-IQ1_S.gguf) | i1-IQ1_S | 2.1 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/Bioinspired-Llama-3-1-8B-128k-gamma-i1-GGUF/resolve/main/Bioinspired-Llama-3-1-8B-128k-gamma.i1-IQ1_M.gguf) | i1-IQ1_M | 2.3 | mostly desperate | | [GGUF](https://huggingface.co/mradermacher/Bioinspired-Llama-3-1-8B-128k-gamma-i1-GGUF/resolve/main/Bioinspired-Llama-3-1-8B-128k-gamma.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.5 | | | [GGUF](https://huggingface.co/mradermacher/Bioinspired-Llama-3-1-8B-128k-gamma-i1-GGUF/resolve/main/Bioinspired-Llama-3-1-8B-128k-gamma.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.7 | | | [GGUF](https://huggingface.co/mradermacher/Bioinspired-Llama-3-1-8B-128k-gamma-i1-GGUF/resolve/main/Bioinspired-Llama-3-1-8B-128k-gamma.i1-IQ2_S.gguf) | i1-IQ2_S | 2.9 | | | [GGUF](https://huggingface.co/mradermacher/Bioinspired-Llama-3-1-8B-128k-gamma-i1-GGUF/resolve/main/Bioinspired-Llama-3-1-8B-128k-gamma.i1-IQ2_M.gguf) | i1-IQ2_M | 3.0 | | | [GGUF](https://huggingface.co/mradermacher/Bioinspired-Llama-3-1-8B-128k-gamma-i1-GGUF/resolve/main/Bioinspired-Llama-3-1-8B-128k-gamma.i1-Q2_K.gguf) | i1-Q2_K | 3.3 | IQ3_XXS probably better | | [GGUF](https://huggingface.co/mradermacher/Bioinspired-Llama-3-1-8B-128k-gamma-i1-GGUF/resolve/main/Bioinspired-Llama-3-1-8B-128k-gamma.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 3.4 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Bioinspired-Llama-3-1-8B-128k-gamma-i1-GGUF/resolve/main/Bioinspired-Llama-3-1-8B-128k-gamma.i1-IQ3_XS.gguf) | i1-IQ3_XS | 3.6 | | | [GGUF](https://huggingface.co/mradermacher/Bioinspired-Llama-3-1-8B-128k-gamma-i1-GGUF/resolve/main/Bioinspired-Llama-3-1-8B-128k-gamma.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.8 | IQ3_XS probably better | | [GGUF](https://huggingface.co/mradermacher/Bioinspired-Llama-3-1-8B-128k-gamma-i1-GGUF/resolve/main/Bioinspired-Llama-3-1-8B-128k-gamma.i1-IQ3_S.gguf) | i1-IQ3_S | 3.8 | beats Q3_K* | | [GGUF](https://huggingface.co/mradermacher/Bioinspired-Llama-3-1-8B-128k-gamma-i1-GGUF/resolve/main/Bioinspired-Llama-3-1-8B-128k-gamma.i1-IQ3_M.gguf) | i1-IQ3_M | 3.9 | | | [GGUF](https://huggingface.co/mradermacher/Bioinspired-Llama-3-1-8B-128k-gamma-i1-GGUF/resolve/main/Bioinspired-Llama-3-1-8B-128k-gamma.i1-Q3_K_M.gguf) | i1-Q3_K_M | 4.1 | IQ3_S probably better | | [GGUF](https://huggingface.co/mradermacher/Bioinspired-Llama-3-1-8B-128k-gamma-i1-GGUF/resolve/main/Bioinspired-Llama-3-1-8B-128k-gamma.i1-Q3_K_L.gguf) | i1-Q3_K_L | 4.4 | IQ3_M probably better | | [GGUF](https://huggingface.co/mradermacher/Bioinspired-Llama-3-1-8B-128k-gamma-i1-GGUF/resolve/main/Bioinspired-Llama-3-1-8B-128k-gamma.i1-IQ4_XS.gguf) | i1-IQ4_XS | 4.5 | | | [GGUF](https://huggingface.co/mradermacher/Bioinspired-Llama-3-1-8B-128k-gamma-i1-GGUF/resolve/main/Bioinspired-Llama-3-1-8B-128k-gamma.i1-Q4_0.gguf) | i1-Q4_0 | 4.8 | fast, low quality | | [GGUF](https://huggingface.co/mradermacher/Bioinspired-Llama-3-1-8B-128k-gamma-i1-GGUF/resolve/main/Bioinspired-Llama-3-1-8B-128k-gamma.i1-Q4_K_S.gguf) | i1-Q4_K_S | 4.8 | optimal size/speed/quality | | [GGUF](https://huggingface.co/mradermacher/Bioinspired-Llama-3-1-8B-128k-gamma-i1-GGUF/resolve/main/Bioinspired-Llama-3-1-8B-128k-gamma.i1-Q4_K_M.gguf) | i1-Q4_K_M | 5.0 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Bioinspired-Llama-3-1-8B-128k-gamma-i1-GGUF/resolve/main/Bioinspired-Llama-3-1-8B-128k-gamma.i1-Q5_K_S.gguf) | i1-Q5_K_S | 5.7 | | | [GGUF](https://huggingface.co/mradermacher/Bioinspired-Llama-3-1-8B-128k-gamma-i1-GGUF/resolve/main/Bioinspired-Llama-3-1-8B-128k-gamma.i1-Q5_K_M.gguf) | i1-Q5_K_M | 5.8 | | | [GGUF](https://huggingface.co/mradermacher/Bioinspired-Llama-3-1-8B-128k-gamma-i1-GGUF/resolve/main/Bioinspired-Llama-3-1-8B-128k-gamma.i1-Q6_K.gguf) | i1-Q6_K | 6.7 | practically like static Q6_K | Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):  And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9 ## FAQ / Model Request See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized. ## Thanks I thank my company, [nethype GmbH](https://www.nethype.de/), for letting me use its servers and providing upgrades to my workstation to enable this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to. <!-- end -->

xRikishi/Danyas_Face_LoRA

xRikishi

Entry not found

edthrth/US-tried-to-get-Navalny-into-Russia-swap-but-then-he-died-bf-updated

edthrth

--- language: - en --- []() read the full article here : https://groups.google.com/g/codename-taurus/c/aARR-83hem4 Source : https://data.lacounty.gov/groups/973c51906a744b23897c135afcea7044 Flash News : https://data.lacounty.gov/groups/3e565394dda9416f924636520bc5b905 Biden last Talk : https://data.lacounty.gov/groups/be8bfad9c79d482aa4e33bca0513e909 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/93a3a2660c274b478cbf762ff0750f5f Other Sources : https://data.iowadot.gov/groups/994af2af6af04d9e907c616b9b732e93 https://data.iowadot.gov/groups/3281a2ff349d4f889acb99fcbb8a2603 https://data.lacounty.gov/groups/f7e1481e87de402b9da40153f0b59904 https://data.lacounty.gov/groups/dd48cfeaebf0450d9478e312a64f18dc https://data.lacounty.gov/groups/bf6d515bd3674b8b8ee8b85b0311ebc2 https://lookerstudio.google.com/reporting/b5658d03-b6eb-406a-b1d1-43d6c86dce5c https://data.lacounty.gov/groups/4d4b58801df84a948971c9df17f95755 https://data.lacounty.gov/groups/fd360d56668e47198ce687b436be3857 https://data.iowadot.gov/groups/c45991364bae4590863490683aae42e6 https://data.iowadot.gov/groups/899c4b461d3c4f709fe2206561efc24c https://data.lacounty.gov/groups/55d9ca98c5d142fe954618c9b23e28e3 https://data.lacounty.gov/groups/646ddebfd5da4cd587ca71ef5fa25109 https://data.lacounty.gov/groups/90223d3d1387480398ab22e9a25b20bd https://data.lacounty.gov/groups/7164aa1108734b91a3b6a2514b3b1bf6 Amid celebrations at getting a slew of US citizens and Kremlin opponents out of Russian prisons, the White House had one public regret Thursday: failure to get out an even bigger name -- Alexei Navalny. "We had been working with our partners on a deal that would have included Alexei Navalny and, unfortunately, he died," US National Security Advisor Jake Sullivan revealed. In the White House's plans, the last truly high-profile political opponent of President Vladimir Putin should have been included in the historic swap that saw 16 people -- including three US citizens and a US resident -- freed in return for 10 Russians chosen by the Kremlin, including two minors. But in February 2024, just as the secret international talks were at a crucial stage, Navalny was pronounced dead at a notoriously brutal Russian Arctic prison, where he was serving a 19-year sentence after exposing Kremlin corruption. Navalny was a larger-than-life figure whose bravery in confronting Putin, despite the deaths of multiple other Kremlin opponents over the years, amazed Russia watchers around the world. After surviving an assassination attempt in which he was poisoned with a rare, Soviet-designed nerve agent, and then daring to return from safety in Germany to certain arrest in Russia, Navalny took on an aura of near-invincibility. His sudden death behind bars shocked the White House team who had been trying to get the other prisoners home. "The team felt like the wind had been taken out of our sails," a senior US official told reporters. When the news broke, national security chief Sullivan said he happened to be with the parents of one of the other key targets in the prisoner swap plan: Evan Gershkovich, a Wall Street Journal reporter arrested in Russia in March 2023. "On the very day that he died, I saw Evan's parents," Sullivan said. "I told them that the president was determined to get this done, even in light of that tragic news, and that we were going to work day and night to get to this day." And the plan worked. On Thursday, the Western-chosen prisoners -- including Gershkovich and a veteran Russian human rights campaigner -- were flown to Turkey and then home. They also included two former aides to Navalny: Lilia Chanysheva, 42, and Ksenia Fadeyeva, 32. The Russian-chosen prisoners -- including a hitman and accused deep-cover spies -- were flown to Moscow. US Vice President Kamala Harris gave Navalny's widow, Yulia Navalnaya, a call. Harris, who is running to replace Biden in November, called "to dicuss the exchange and express her support," Navalnaya spokeswoman Kira Yarmysh said on X. And the Russian opposition figure's widow urged efforts to get others out continue. She "called on the international community to facilitate the release of other Russian political prisoners," Yarmysh said.....

abdulmanaam/xlm-roberta-large-clickbait-task1-20-epoch-post

abdulmanaam

--- license: mit base_model: FacebookAI/xlm-roberta-large tags: - generated_from_trainer metrics: - accuracy model-index: - name: xlm-roberta-large-clickbait-task1-20-epoch-post results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # xlm-roberta-large-clickbait-task1-20-epoch-post This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.0677 - Accuracy: 0.405 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 20 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | No log | 1.0 | 200 | 1.0717 | 0.45 | | No log | 2.0 | 400 | 1.0755 | 0.405 | | 1.0531 | 3.0 | 600 | 1.0676 | 0.405 | | 1.0531 | 4.0 | 800 | 1.0656 | 0.405 | | 1.0447 | 5.0 | 1000 | 1.0832 | 0.405 | | 1.0447 | 6.0 | 1200 | 1.0699 | 0.385 | | 1.0447 | 7.0 | 1400 | 1.0649 | 0.405 | | 1.0417 | 8.0 | 1600 | 1.0682 | 0.405 | | 1.0417 | 9.0 | 1800 | 1.0692 | 0.405 | | 1.0425 | 10.0 | 2000 | 1.0665 | 0.405 | | 1.0425 | 11.0 | 2200 | 1.0705 | 0.405 | | 1.0425 | 12.0 | 2400 | 1.0793 | 0.405 | | 1.0402 | 13.0 | 2600 | 1.0674 | 0.405 | | 1.0402 | 14.0 | 2800 | 1.0638 | 0.405 | | 1.0428 | 15.0 | 3000 | 1.0710 | 0.405 | | 1.0428 | 16.0 | 3200 | 1.0686 | 0.405 | | 1.0428 | 17.0 | 3400 | 1.0700 | 0.405 | | 1.0406 | 18.0 | 3600 | 1.0669 | 0.405 | | 1.0406 | 19.0 | 3800 | 1.0683 | 0.405 | | 1.0375 | 20.0 | 4000 | 1.0677 | 0.405 | ### Framework versions - Transformers 4.44.0.dev0 - Pytorch 2.4.0+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1

mradermacher/Infinity-Instruct-7M-0729-Llama3_1-70B-GGUF

mradermacher

<!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> static quants of https://huggingface.co/BAAI/Infinity-Instruct-7M-0729-Llama3_1-70B

edthrth/Kamalas-all-foam-no-beer-campaign-has-her-ducking-media-while-53-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/e85144fa94184e51afc75ffcbb8a3c6b Source : https://data.iowadot.gov/groups/e50aefa49baa481281c8d93c9a42a4f2 Flash News : https://data.iowadot.gov/groups/7836289a5f834421acb640d5242b3ea6 Biden last Talk : https://data.lacounty.gov/groups/a61893ea71f749928f5ff962cb539c00 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/973c51906a744b23897c135afcea7044 Other Sources : https://data.lacounty.gov/groups/343ed314ca81442bb932bdc016bd27b2 https://data.lacounty.gov/groups/93a3a2660c274b478cbf762ff0750f5f https://data.lacounty.gov/groups/630d6f421529474da309c736f555549d https://data.lacounty.gov/groups/4d4b58801df84a948971c9df17f95755 https://data.lacounty.gov/groups/630d6f421529474da309c736f555549d https://data.lacounty.gov/groups/b216a1e12272465f88e40c30dd6b1084 https://data.lacounty.gov/groups/bfb0cf172a2842d2a1fb80164decfefc https://data.lacounty.gov/groups/920ea0b30c7145bdb519839c098dc6d5 https://data.iowadot.gov/groups/cc4cbe3d97544a68b8d581a478ae1a38 https://data.lacounty.gov/groups/55d9ca98c5d142fe954618c9b23e28e3 https://data.iowadot.gov/groups/7f779820ce514ffc8e2a5c015702a9a5 https://data.lacounty.gov/groups/b4c93e94ca0d4fceb887ab65b80c2c08 https://data.lacounty.gov/groups/93a3a2660c274b478cbf762ff0750f5f https://storymaps.arcgis.com/stories/46fe967d35ae4e318f0fe73c3fc2e067 After watching the opening act of the Kamala Harris presidential campaign, one thing is abundantly clear: She and her handlers think they can win the White House by pleading the Fifth from now through Nov. 5. Ever since she launched her first presidential campaign back in January of 2019, Kamala Harris has not held one US press conference. She has not done anything resembling a tough interview. She's really no different from Joe Biden: Take away her teleprompter and her script, and things go sideways in a hurry. Compare that to Donald Trump, who on Wednesday was invited to appear before the National Association of Black Journalists in Chicago. Trump, in an effort to expand his inroads with black voters by making himself accessible, accepted the invitation. Smart move -- because he has shown he can connect with minority voters across the board, especially during this campaign cycle. Recall his visits to the South Bronx and Harlem this spring, his sneaker convention appearance before a largely minority and Gen Z audience and his rally in the blue state of New Jersey with an estimated 100,000 people in attendance. His NABJ appearance was classic Trump, sparring out of the gate with the hopelessly biased ABC News correspondent Rachel Scott. Scott accused Trump of racism based on his criticism of Manhattan DA Alvin Bragg -- a profoundly ridiculous premise, given how critical Trump has been of prosecutor Jack Smith, who at last check was a white guy. But when Trump was actually asked relevant questions about inflation and illegal immigration by Fox News anchor Harris Faulkner, he hammered Kamala on both issues, underscoring that during his time as president, black voters were far better off. The facts and numbers back that up: Inflation was lower, employment was higher. And illegal immigration under Biden-Harris has greatly impacted citizens in urban areas, where they're seeing their jobs and social services like sanitation and education and police taken away. The Trump outreach is paying dividends: A recent CNN poll shows the Republican getting an eye-popping 30% of the black vote compared to Harris, who gets 63%. Usually the split is around 90\/10 for the Democrat -- so needless to say, if Trump can get even half that level of support, this race is over. For her part, Harris also received an invitation from the NABJ, but declined to appear live and will only do so at some point by Zoom (sound familiar?). The reason is simple: Harris and actual journalists asking germane questions about her radical policy positions simply cannot co-exist. And as we've seen from the Queen of Word Salads, she does not possess the ability to speak extemporaneously with anything resembling coherent arguments. She would have to answer questions on ending the fossil-fuel industry, abolishing ICE, ending all private health insurance and providing free health care to illegal immigrants, for starters. Harris would also be asked to explain her support of late-term abortion, sanctuary cities, allowing violent criminals to vote from jail and everything from her desire to expand the Supreme Court to allowing biological men to compete against biological women in sports. Team Harris thinks she can win not on the issues (outside of abortion), but on thin-sliced identity groups working on her behalf, such as the testosterone-challenged White Dudes for Harris, and perhaps the occasional interview with RuPaul's drag queens. And at a time when Americans face a raft of serious problems, from inflation to crime to an open border to an increasingly unstable world, we can't have another candidate who hides from questions and accountability while going up against a fearless candidate like Donald Trump.....

pnr-svc/whisper-medium-turkish-speech-v1

pnr-svc

Entry not found

Krabat/Qwen-Qwen1.5-1.8B-1722637022

Krabat

peft

--- base_model: Qwen/Qwen1.5-1.8B library_name: peft --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed] ### Framework versions - PEFT 0.12.0

tingting/test_Meta-Llama-3.1-70B-Instruct-bnb-4bit_FTe5_pair_None0Shot_NERNone

tingting

transformers

--- base_model: unsloth/Meta-Llama-3.1-70B-Instruct-bnb-4bit language: - en license: apache-2.0 tags: - text-generation-inference - transformers - unsloth - llama - trl --- # Uploaded model - **Developed by:** tingting - **License:** apache-2.0 - **Finetuned from model :** unsloth/Meta-Llama-3.1-70B-Instruct-bnb-4bit This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

ChokeGM/WARP_model

ChokeGM

transformers

text-generation

--- library_name: transformers tags: [] --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]

AiAF/Ellie-Ensley__ellietheempress_LoRA_SDXL-1.0

AiAF

diffusers

text-to-image

--- tags: - text-to-image - stable-diffusion - lora - diffusers - template:sd-lora widget: - text: >- Eellie ensley \(person\), _ellietheempress_ \(person\), 1girl, black hair, black eyes, waist up, portrait shot, anime tshirt, background: newyork times square, night time, night, moonlight, snowing parameters: negative_prompt: >- bad anatomy, text, watermark, low-quality, signature, moir pattern, downsampling, aliasing, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrast output: url: https://cdn-uploads.huggingface.co/production/uploads/655ac90c6f460bf3291bf481/27WkUmOazz5tzb0enEEE7.png - text: >- Eellie ensley \(person\), _ellietheempress_ \(person\), , 1girl, black hair, black eyes, waist up, portrait shot, red bikini, smile, long hair, makeup, background: beach with crashing waves, daytime, sunrays, lens flair, beacj rocks parameters: negative_prompt: >- bad anatomy, text, watermark, low-quality, signature, moir pattern, downsampling, aliasing, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrast output: url: https://cdn-uploads.huggingface.co/production/uploads/655ac90c6f460bf3291bf481/be3s_7bLybEusDtBTsLr3.png - text: >- Eellie ensley \(person\), _ellietheempress_ \(person\), @_ellietheempress_,1girl, waist up, black_eyes, black hair, t-shirt, looking_at_viewer, background:indoors, sunflower feild parameters: negative_prompt: >- bad anatomy, text, watermark, low-quality, signature, moir pattern, downsampling, aliasing, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrast output: url: https://cdn-uploads.huggingface.co/production/uploads/655ac90c6f460bf3291bf481/ZWgm73jm-8gsNzFNcuF0C.png - text: >- Eellie ensley \(person\), _ellietheempress_ \(person\), @_ellietheempress_,masterpiece, best quality, 1girl, huge sagging breasts, smile, waist up, black eyes, black hair, closed mouth, looking at viewer, wearing lingerie , background: submerged in a pool, wet skin parameters: negative_prompt: >- bad anatomy, text, watermark, low-quality, signature, moir pattern, downsampling, aliasing, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrast output: url: https://cdn-uploads.huggingface.co/production/uploads/655ac90c6f460bf3291bf481/Kpb_cWWfFwSB_YFPTE3Ie.jpeg - text: >- Eellie ensley \(person\), _ellietheempress_ \(person\), 1girl, smile, sunglasses ,black hair, black eyes, waist up, portrait shot, wearing an astronaut suit, background: night time, night, moonlight parameters: negative_prompt: >- bad anatomy, text, watermark, low-quality, signature, moir pattern, downsampling, aliasing, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrast output: url: https://cdn-uploads.huggingface.co/production/uploads/655ac90c6f460bf3291bf481/0uVXumLu0iIMjFYDJ6mY4.jpeg - text: >- Eellie ensley \(person\), _ellietheempress_ \(person\), @_ellietheempress_,masterpiece, best quality, 1girl, huge sagging breasts, smile, waist up, black eyes, black hair, closed mouth, looking at viewer, wearing custom-made, wet skin, , background: Serene bamboo grove parameters: negative_prompt: >- bad anatomy, text, watermark, low-quality, signature, moir pattern, downsampling, aliasing, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrast output: url: https://cdn-uploads.huggingface.co/production/uploads/655ac90c6f460bf3291bf481/Qpzji2P7Wr6SCYo6gIrYq.jpeg - text: >- Eellie ensley \(person\), _ellietheempress_ \(person\), @_ellietheempress_,masterpiece, best quality, 1girl, huge sagging breasts, smile, waist up, black eyes, black hair, closed mouth, looking at viewer, wearing latex bodysuit , background: wheatfield, sunset parameters: negative_prompt: >- bad anatomy, text, watermark, low-quality, signature, moir pattern, downsampling, aliasing, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrast output: url: https://cdn-uploads.huggingface.co/production/uploads/655ac90c6f460bf3291bf481/uVnAl983rvYJ7WHEK-DHZ.jpeg base_model: stabilityai/stable-diffusion-xl-base-1.0 instance_prompt: ellie ensley \(person\), _ellietheempress_ \(person\), @_ellietheempress_ license: cc0-1.0 datasets: - AiAF/ellietheempress_SDXL1.0_Dataset pipeline_tag: text-to-image --- # Ellie Ensley | @ellietheempress LoRA [SDXL 1.0] <Gallery /> ## Model description SDXL LoRA of Eellie Ensley (AKA: ```@_ellietheempress_```). Please let me know your thoughts! Ko-fi: https://ko-fi.com/aiartfactory Twitter: AiArt Factory (@AiArtFactory) / X (twitter.com) TikTok: https://www.tiktok.com/@ai_art_factory?_t=8cykD6v1PRu&_r=1 Instagram: https://instagram.com/aiart.factory?igshid=NGExMmI2YTkyZg== Deviantart: https://www.deviantart.com/aiartfactory ## Trigger words You should use `ellie ensley \(person\)` to trigger the image generation. You should use `_ellietheempress_ \(person\)` to trigger the image generation. You should use `@_ellietheempress_` to trigger the image generation. ## Download model Weights for this model are available in Safetensors format. [Download](/AiAF/Ellie-Ensley__ellietheempress_LoRA_SDXL-1.0/tree/main) them in the Files & versions tab.

Primeness/h36

Primeness

Entry not found

edthrth/With-Hostage-Swap-Biden-Scores-a-Win-as-His-Term-Nears-Its-End-4f-updated

edthrth

--- language: - en --- []() read the full article here : https://data.iowadot.gov/groups/22aba6f9a1fa4da8a9afff42196a879e Source : https://data.lacounty.gov/groups/c309c0da93854b8eafc36afefead32d8 Flash News : https://data.lacounty.gov/groups/cd3a7d916fe949f8829399b2656442e0 Biden last Talk : https://data.lacounty.gov/groups/c309c0da93854b8eafc36afefead32d8 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/59e66f937dff40df8c9822f168026896 Other Sources : https://data.lacounty.gov/groups/eb1fcb15716942438e22ebb1e0e0fa0c https://huggingface.co/edthrth/Jailer-agrees-to-plead-guilty-in-case-of-inmate-who-froze-to-death-at-jail-ah-updated https://data.iowadot.gov/groups/ddf41be60549428e9c7f10117e489193 https://data.iowadot.gov/groups/e50aefa49baa481281c8d93c9a42a4f2 https://data.iowadot.gov/groups/cc4cbe3d97544a68b8d581a478ae1a38 https://data.lacounty.gov/groups/7164aa1108734b91a3b6a2514b3b1bf6 https://data.lacounty.gov/groups/b002627f93ab4c5d9eda14604cd2b3b9 https://data.lacounty.gov/groups/8fe8902bcf844efda8796b929b32e4ce https://data.lacounty.gov/groups/f8cf3d677f324e708859392bea6031d8 https://data.lacounty.gov/groups/ab2c44c67c78400aaabfaa414f2deffb https://data.lacounty.gov/groups/bfab507453c44cd0a81dbdae69305fcd https://data.iowadot.gov/groups/155c6394e27a47268292a6a7b320a22d https://data.lacounty.gov/groups/85390ac3eadd4a16a0df9ce665982c2f https://data.lacounty.gov/groups/646ddebfd5da4cd587ca71ef5fa25109 Even in the world of presidential multitasking, July 21 turns out to have been an extraordinary, whipsaw Sunday for President Biden. At 12:09 p.m., he picked up the phone at his vacation house in Rehoboth Beach, Del., to talk with the prime minister of Slovenia as part of a high-stakes diplomatic gamble to seal a complicated, multinational prisoner swap. Just 97 minutes later, he posted a world-stunning letter online abandoning his bid for re-election after a bruising pressure campaign by his own Democratic allies, climaxing the biggest crisis of his political career and signaling the end of his presidency after a half-century in public life. By any measure, it was one of the darkest moments of his time in elective office as the inescapable reality of time, age and polls finally caught up with him. And yet it would lead to one of the most joyous days of his presidency barely a week and a half later as he orchestrated the release of imprisoned Americans from the dungeons of Russia. For Mr. Biden and his team, the successful negotiation to free 16 people held by Russia on Thursday, including three American citizens and a U.S. permanent resident, offered sweet validation even as the clock is now ticking toward his final curtain call in office. When the president appeared with relatives of the liberated prisoners in the State Dining Room of the White House, it was clearly personal to him and he framed it as a mission on behalf of the larger American family. "My dad had a simple proposition: Family is the beginning, the middle, and the end. Blood of my blood and bone of my bone," Mr. Biden said before hugging the daughter of one of the freed prisoners. "I could think of nothing more consequential." As he often does, he drew on his own experience of personal tragedy. "Having lost family," albeit in a very different way, he said that bringing home these tortured souls now, well, "it matters, it matters." It clearly mattered to him too. Although he made no mention of the incredible timing of his diplomatic triumph, just an hour and a half before his political surrender, it reinforced a commitment to making his last five months in power count. He may be a lame duck now, but he has no intention of heading off quietly into the night -- except to Joint Base Andrews outside Washington, where he planned to welcome home the Americans late Thursday night. Mr. Biden's staff made a point of talking up his diplomatic deftness in brokering the deal, bringing together seven countries in the largest such swap since the Cold War. And they emphasized that he and his administration had helped free more than 70 Americans wrongfully detained abroad during his tenure. "This was vintage Joe Biden," said Jake Sullivan, the national security adviser. "If you had not had Joe Biden sitting in the Oval Office, I don't think this would have happened." Mr. Sullivan, who has been personally invested in bringing home the hostages for years and had to deliver bad news to their families on many occasions, grew teary-eyed himself in the White House briefing room. "Today was a very good day," he said, choking up. It was Mr. Sullivan who set up the president's critical call with Prime Minister Robert Golob of Slovenia on July 21, according to another U.S. official who spoke on condition of anonymity to share behind-the-scenes details. The day before, on Saturday, July 20, Mr. Sullivan had been in Colorado for a meeting of the Aspen Strategy Group and worked the phones to bring together the deal. He was not able to persuade his Slovenian counterpart to release two Russians held by that Balkan country as part of the swap to free the Wall Street Journal reporter Evan Gershkovich and the others held by Moscow. So Mr. Sullivan asked if he could arrange a call from the president to the prime minister. After flying back to Washington, Mr. Sullivan called from his home on that Sunday and patched the two leaders together through the White House Situation Room, according to the U.S. official. Mr. Biden was in isolation in Rehoboth recovering from Covid -- and unknown to nearly the whole world, finalizing his letter withdrawing from the race. During their call, which lasted just a few minutes, Mr. Biden implored Mr. Golob to release the two Russians in his custody. In making his pitch, Mr. Biden even offered to visit Slovenia, the U.S. official said. What Mr. Biden did not say was that he would only have a few months left in office to follow up on that idea. Mr. Sullivan, asked about the timing of the call shortly before the withdrawal, said it was simply happenstance. "That's when the pieces were falling in place," he said. It was hardly the only conversation Mr. Biden had during the months of haggling. He reached out personally to other foreign leaders, most critically Chancellor Olaf Scholz of Germany, who for a long time had resisted releasing Vadim Krasikov, a Russian assassin convicted of murdering a Chechen separatist in Germany on state orders. But with Mr. Biden pressing him, and five German nationals imprisoned in Russia thrown into the package, Mr. Scholz finally relented. "For you, I will do this," he told Mr. Biden, according to U.S. officials. "The deal that made this possible was a feat of diplomacy and friendship -- friendship," Mr. Biden said on Thursday. In a veiled reference to former President Donald J. Trump, who constantly berates and belittles America's European partners, Mr. Biden added: "For anyone who questions whether allies matter, they do. They matter." No longer facing another election might have made it easier on some level for Mr. Biden to risk whatever political fallout there might be for the swap. It was an uncomfortable compromise. No one liked giving up a killer like Mr. Krasikov for innocent Americans like Mr. Gershkovich, the Marine veteran Paul Whelan and the journalist Alsu Kurmasheva, along with Vladimir Kara-Murza, a Russian opposition leader and Pulitzer Prize-winning columnist for The Washington Post who is a permanent U.S. resident. Trading for hostages always raises the tricky question of whether it encourages the hostage-takers to do it again. Unsurprisingly, Republicans quickly made that point, most loudly Mr. Trump, who is seeking his old job back and denounced giving anything away to free American prisoners. "To do so is bad precedent for the future," Mr. Trump wrote on his social media site in a posting that did not even pause to celebrate the freedom for the Americans and others released. "That's the way it should be, or this situation will get worse and worse. They are extorting the United States of America." But in fact, Mr. Biden and Mr. Sullivan decided early in his administration that the old politics no longer applied and that they should be willing to make trades, when justified, to free imprisoned Americans. For all the predictable criticism that would come, they concluded that there was really no meaningful domestic political cost, nor was it clear that refusing to make deals would necessarily stop hostage taking. In that case, they reasoned that it was better just to get Americans home rather than stand on what they considered a pointless principle and leave innocent people wasting away in foreign prisons or terrorist sanctuaries. They did so for Trevor R. Reed, an ailing former U.S. Marine held in Russia on what his family called bogus charges of assault, and they did so again for Brittney Griner, the W.N.B.A. star arrested in Moscow on what U.S. officials considered trumped-up drug charges. Left out of all those deals, though, was Marc Fogel, an American teacher sentenced to 14 years in a labor camp after being found with medical marijuana. Biden aides said they would keep trying to free him too. When Mr. Biden appeared on Thursday with the families of Mr. Gershkovich and the others, he laughed off a claim by Mr. Trump that if he were elected again, he would get President Vladimir V. Putin of Russia to simply free American prisoners without receiving anything in return. "Why didn't he do it when he was president?" Mr. Biden asked. With that, he headed out of the room. There was more to do. In fact, he had another important phone call to make, this one with Prime Minister Benjamin Netanyahu of Israel. There were, after all, more crises to confront, more hostages to try to free and not much time left.....

itorgov/model-trained-001

itorgov

Entry not found

edthrth/AmeriCorps-Seniors-Honors-Exemplary-Leaders-at-Annual-Convening-Business-Upturn-fe-updated

edthrth

--- language: - en --- []() read the full article here : https://data.iowadot.gov/groups/dd9c5e03371846ab95df5e86e0affe06 Source : https://data.lacounty.gov/groups/e85144fa94184e51afc75ffcbb8a3c6b Flash News : https://data.iowadot.gov/groups/c57a4b58da7347aa96c73d9baf453195 Biden last Talk : https://data.iowadot.gov/groups/22aba6f9a1fa4da8a9afff42196a879e Russian Ukrain Breaking News : https://storymaps.arcgis.com/stories/54a9f3ec4a0246e98cc8921d67fe311c Other Sources : https://data.lacounty.gov/groups/6fb4ae28f4a7439897272faaf1eae5d5 https://data.lacounty.gov/groups/bf6d515bd3674b8b8ee8b85b0311ebc2 https://data.lacounty.gov/groups/f8cf3d677f324e708859392bea6031d8 https://data.lacounty.gov/groups/3e565394dda9416f924636520bc5b905 https://data.lacounty.gov/groups/8986eac8600e4a2d9540e2812d0c97f8 https://data.lacounty.gov/groups/e48471cdff1d4ce78d9d3e1b947ef7a5 https://data.lacounty.gov/groups/2e4cddeb6f494454966b4bb33b99808f https://data.lacounty.gov/groups/3e565394dda9416f924636520bc5b905 https://groups.google.com/g/chromium-reviews-en-es/c/21audz6maDg https://data.lacounty.gov/groups/d777d94051db48f1a84d814cfbe5be85 https://data.iowadot.gov/groups/07acb41d7bdb414ba78c9d34701d1145 https://data.lacounty.gov/groups/aeaad5b8b96c49dc9337907d74de0f93 https://data.lacounty.gov/groups/1f32a96d5d7a434db36f1d4d37506a69 https://storymaps.arcgis.com/stories/571adccbb0304531a838731e67b534a5 Washington, DC, Aug. 01, 2024 (GLOBE NEWSWIRE) -- AmeriCorps, the federal agency for national service and volunteering, is proud to announce the recipients of the first ever AmeriCorps Seniors Convening Awards. This prestigious accolade recognizes program directors who have made significant contributions to their communities by leveraging volunteer service to address local challenges that align with national priorities. Its annual service awards recognize outstanding contributions to community service and volunteerism across the nation. "AmeriCorps Seniors volunteers change lives," said Michael D. Smith, CEO, AmeriCorps. "Through AmeriCorps Seniors Foster Grandparents, Senior Companions and RSVP, these awardees exemplify how this coming together enriches our communities, strengthens social ties, and builds a sense of respect and understanding among us." "In a testament to the power of dedication and service, these AmeriCorps Seniors awardees truly set the bar higher for us all," said Carly Bruder, the Acting Chief Program Officer of AmeriCorps. "AmeriCorps Seniors, with their experience and sage wisdom, continue to stand at the forefront of service and volunteerism, creating change across the nation's communities." Impactful Service Award honors program directors who have significantly impacted their communities through volunteer service addressing local challenges that are also national priorities. Recipients: Shelida Purnell, Foster Grandparent Program, Community Action of Greater Indianapolis, and Jeannie Leal, City of Corpus Christi Senior Companion Program Shelida Purnell, an innovator committed to enhancing social and physical health, secured a $100,000 grant from Congressman Andre Carson. Utilizing these funds, she organized successful community initiatives, including two 3Ks, a 5K, and a Senior Health Fair. These events, which featured coaching on safe workouts and healthy eating, significantly benefited participants' health, leading to weight loss and reduced dependence on medication. The programs attracted over 200 attendees and 40 health-related vendors, promoting community engagement and the formation of accountability groups for sustained healthy living. Jeannie Leal is known for her dedication to the Corpus Christi community, Jeannie utilized volunteerism to ensure inclusive access to books and nature. She initiated a book club for visually impaired individuals and launched the City of Corpus Christi Parks and Recreation Passport program, promoting outdoor activities and civic engagement. Her efforts have significantly improved community engagement and the quality of life for older adults. This initiative not only promoted the joy of reading but also fostered social connections. Inclusive Service Award recognizes individuals who improve equity and accessibility in older adult volunteerism. Recipient: Tina Brown, Dignity Health Connected Living, Oaks Drive, Redding, CA Amid the pandemic, Tina Brown bridged the digital divide by teaching Foster Grandparent and Senior Companion volunteers how to use laptops and Zoom. She also held in-service trainings and recognition events, ensuring volunteers stayed connected and appreciated. Tina is honored with the Inclusive Service Award for her intentional efforts to improve equity and accessibility in older adult volunteerism. She also ensured inclusion through monthly in-service trainings and drive-thru recognition events, maintaining social connections and appreciation for volunteers. Influential Service Award recognizes directors who exemplify strong leadership and civic engagement. Recipient: Stacy Venteicher, Carroll County RSVP, Glidden, Iowa Stacy Venteicher's visionary leadership expanded her program's reach and impact, developing a comprehensive volunteer training initiative that empowered older adults to serve effectively and take on leadership roles. Her commitment to civic engagement and challenging stereotypes about aging has made older adults valuable, active community members. Under her guidance, her program has expanded its reach, enhancing volunteer training initiatives and challenging stereotypes about aging. Stacy's advocacy for older adults and collaboration with other directors has significantly impacted her community and beyond. Innovative Service Award recognizes program directors who creatively address community needs through new service activities. Recipient: Michelle Moll, Exec. Dir., King of Prussia, PA Michelle Moll receives the Innovative Service Award for her creative approaches to addressing community needs through volunteer programs. Over the past 15 years, Michelle has revitalized critical programs, including the "Digital Literacy" initiative, which has expanded to serve multiple generations struggling with technology. Her innovative leadership has earned her recognition for bridging the digital divide and enhancing community wellness. Michelle has expanded critical community programs across four counties. Her Digital Literacy program, initially aimed at combating isolation during the pandemic, now serves multiple generations, helping over 450 community members understand technology. Michelle's innovation bridges the digital divide and creates impactful service opportunities. Life of Service Award honors individuals with over 20 years of service in promoting older adult volunteerism. Recipient: Betty Ruth (40+ years), Exec. Dir., RSVP, Athens, AL Betty Ruth has over 40 years dedicated to serving older adults, Betty has been a strong advocate in Congress and her home state's legislature. Betty's extensive contributions include serving on the Alabama Department of Senior Services Board of Directors and as a delegate to the White House Conference on Aging. She has led efforts to ensure meaningful volunteer opportunities for older adults and cultivated ethical leaders in the community. Embodying a life of service, her leadership and advocacy have cultivated a community of ethical leaders committed to meaningful volunteer opportunities for older adults. Legacy of Leadership Award recognizes a dedicated champion of AmeriCorps Seniors programs and older adult volunteers. Recipient: Edwin L. Walker, Former (March) Deputy Assistant Secretary for Aging, Administration on Aging For the first time, AmeriCorps Seniors presents the Legacy of Leadership Award to Edwin L. Walker for his tireless dedication to aging policy, program development, and advocacy. Edwin's career has been marked by his commitment to supporting older adults and engaging them as providers of services. His leadership has shaped national and international aging networks, leaving a profound legacy. Edwin's career has been dedicated to preserving the dignity of older adults, their families, and caregivers. His leadership in policy, program development, and research has significantly supported older adults nationwide. Edwin's unwavering commitment to outstanding leadership has left a legacy impact. "The impact that AmeriCorps Seniors volunteers have on communities is incredible and the project directors that lead these programs create the foundation for that impact," said Atalaya Sergi, the Director of AmeriCorps Seniors. "They not only show a deep dedication to their communities, but to the volunteers they support, and we are grateful for all they do day in and day out to get things done for America. We also could not do the work of AmeriCorps Seniors without our partners and this year we wanted to recognize Edwin Walker, who has been a longtime and steadfast supporter of AmeriCorps Seniors." For more information on AmeriCorps Seniors and its programs, visit AmeriCorps.gov\/Seniors. Disclaimer: The above press release comes to you under an arrangement with GlobeNewswire. Business Upturn takes no editorial responsibility for the same.....

1024m/DEU-xlm-roberta-1st

1024m

Entry not found

ffgn/Qwen2-0.5B-Instruct-bnb-4bit_WikiMediaPT

ffgn

transformers

Temporary Redirect. Redirecting to /ffgn/Qwen2-0.5B-Inst-bnb-4bit_WikiMediaPT_AlpacaGPT4PT/resolve/main/README.md

Albinator/John-Lennon-Talking-2

Albinator

Entry not found

1024m/DEU-xlm-roberta-2nd

1024m

Entry not found

Peacoc/37_best_t_120_3

Peacoc

transformers

text-generation

--- library_name: transformers tags: [] --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]

1024m/DEU-xlm-roberta-3rd

1024m

Entry not found

Legalaz/01-Mde102417

Legalaz

Entry not found

edthrth/43-German-shepherds-seized-by-BC-SPCA-from-property-near-Prince-George-cf-updated

edthrth

--- language: - en --- []() read the full article here : https://data.iowadot.gov/groups/cc4cbe3d97544a68b8d581a478ae1a38 Source : https://data.iowadot.gov/groups/bfccfe57a2f24cf9ab181f40894cc8f5 Flash News : https://data.lacounty.gov/groups/6b61baed1b2645e0a0dd784044b965aa Biden last Talk : https://huggingface.co/edthrth/43-German-shepherds-seized-by-BC-SPCA-from-property-near-Prince-George-33-updated Russian Ukrain Breaking News : https://data.iowadot.gov/groups/e50aefa49baa481281c8d93c9a42a4f2 Other Sources : https://data.iowadot.gov/groups/c45991364bae4590863490683aae42e6 https://data.iowadot.gov/groups/22aba6f9a1fa4da8a9afff42196a879e https://data.lacounty.gov/groups/f8cf3d677f324e708859392bea6031d8 https://data.lacounty.gov/groups/cd3a7d916fe949f8829399b2656442e0 https://data.lacounty.gov/groups/3b4628f4ee0b4976ab77f113248d1f72 https://data.lacounty.gov/groups/2e4cddeb6f494454966b4bb33b99808f https://data.lacounty.gov/groups/f555660e657c4019909e62f5606d2fcf https://data.iowadot.gov/groups/c96d0ce2e6dc412ea3706194f830c0cf https://data.lacounty.gov/groups/f34691d7b8d344d28997367e15c9acdc https://data.lacounty.gov/groups/bf6d515bd3674b8b8ee8b85b0311ebc2 https://lookerstudio.google.com/reporting/d66c120d-1a69-4905-b114-9fbc12b02958 https://groups.google.com/g/retro-comp/c/nIiScpJBIFQ https://www.sheffield.ac.uk/js/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohackaccountnnnew_3244451352&Connector=https://unitedstatednews.com https://data.iowadot.gov/groups/3281a2ff349d4f889acb99fcbb8a2603 B.C. SPCA animal protection officers have seized 43 German shepherds from an "irresponsible breeder," who was housing them on a property southeast of Prince George. Thirty-one adult German shepherds and 12 puppies were recently seized, according to a BC SPCA release Thursday (Aug. 1). B.C. SPCA's chief of protection and outreach services Marcie Moriarty said the conditions the dogs were living in were horrible. She said the plywood floors in their outdoor kennels were soaked with urine and there were piles of feces. Water was visible in each kennel, but there were no signs of food. "The stench was overwhelming." She said the dogs were exhibiting signs of distress, from circling and weaving inside their kennels to bashing their muzzles into the walls. "When our animal protection officers entered their kennels, the dogs were so paralyzed with fear that some just cowered in the back corner, staring into the wall. It was heartbreaking." It was when animal protection officers began to lift the dogs into crates that they noticed how underweight the animals were. "Their body condition scores range from a three to as low as a one out of nine," she said. "An ideal score would be five." The puppies range in age from one week to nine months old, with the youngest found with their mother in a dark basement in the house in a plastic pool with only paper towels for bedding. Another mother and her puppies were in a confined space, "with ammonia levels so high it was physically uncomfortable for the animal protection officers." The B.C. SPCA said the dogs are currently being assessed at the North Cariboo animal centre. Most of the older dogs are suffering from stiff, arthritic joints, damaged teeth and some have painful stomach issues or visible wounds.....

Krabat/Qwen-Qwen1.5-7B-1722637415

Krabat

peft

--- base_model: Qwen/Qwen1.5-7B library_name: peft --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed] ### Framework versions - PEFT 0.12.0

edthrth/3rdparty-candidates-file-to-run-for-president-US-Senate-in-Pa-f5-updated

edthrth

--- language: - en --- []() read the full article here : https://data.iowadot.gov/groups/47a596132b744265a5cb58fd9589b637 Source : https://data.lacounty.gov/groups/d9562964497c4f31a5608a7594cd827c Flash News : https://data.lacounty.gov/groups/3013a2d98f4d4b94ba2a3a5279995520 Biden last Talk : https://data.lacounty.gov/groups/772acd9e3e7343b39702eb8178436463 Russian Ukrain Breaking News : https://data.iowadot.gov/groups/e50aefa49baa481281c8d93c9a42a4f2 Other Sources : https://data.lacounty.gov/groups/8682f6ae93bf4ad7839cb6dbd91d04b9 https://data.iowadot.gov/groups/7f779820ce514ffc8e2a5c015702a9a5 https://data.iowadot.gov/groups/ee4df13d714745b1a1c3086a528b52ac https://data.lacounty.gov/groups/a61893ea71f749928f5ff962cb539c00 https://data.lacounty.gov/groups/343ed314ca81442bb932bdc016bd27b2 https://data.lacounty.gov/groups/5ff19d3465cc40228709f73bce6432ef https://data.lacounty.gov/groups/ee1b4221250145e7872e45bf95323709 https://data.lacounty.gov/groups/12c17845094645d7b70e59be8f7db1bd https://data.lacounty.gov/groups/bfab507453c44cd0a81dbdae69305fcd https://data.iowadot.gov/groups/7b9df14337944bb6a2ed3b876f97676a https://data.iowadot.gov/groups/e4279e19431d47df85e7109a01099d31 https://huggingface.co/edthrth/Inside-a-new-wellness-retreat-in-the-middle-of-a-desert-3h-updated https://data.lacounty.gov/groups/35a8a183482f4a3db0c8ac50e0a57637 https://data.lacounty.gov/groups/979fdda85abb4d69980e9a96a7040336 HARRISBURG -- More than a dozen third-party candidates for president, U.S. Senate and three statewide offices filed paperwork ahead of Thursday's deadline to get on November's general election ballot in Pennsylvania, raising the possibility that they could play spoiler in high-stakes and close races in the battleground state. Pennsylvania is expected to have a decisive role in the Nov. 5 presidential election between Republican nominee Donald Trump and likely Democratic nominee Kamala Harris. A third-party candidate's draw in a general election, while usually very small, could help tilt a close race between the major party candidates. Four third-party candidates filed to run for president by Thursday's 5 p.m. deadline. Those include Robert F. Kennedy Jr. of the We the People Party, Jill Stein of the Green Party, and Claudia De la Cruz of the Party for Socialism and Liberation, according to information from the state's election office. Because its national convention came after Pennsylvania's signature-gathering period began, the Libertarian Party submitted signatures under a stand-in candidate who will be replaced by its presidential nominee, Chase Oliver, the party said. Kennedy filed in June and has gained traction with a famous name and a loyal base. Strategists from both major parties fear that he has the potential to do better than any independent presidential candidate in decades and tip the election against them. The filings, however, may not be the last word. Legal challenges can be filed through Aug. 8 to contest whether the candidates met the requirement of filing the signatures of 5,000 registered voters. With its 19 electoral votes, Pennsylvania is a top-tier prize that has swung between the parties in the last two presidential elections. Both were closely contested: In 2016, Trump won Pennsylvania by 44,000 votes over Democrat Hillary Clinton, and four years later Democrat Joe Biden beat Trump by 81,000 votes. The Senate contest between Democratic U.S. Sen. Bob Casey and Republican David McCormick could help determine control of the chamber. Three third-party candidates filed to run: John Thomas of the Libertarian Party, Leila Hazou of the Green Party and Bernard Selker of the Constitution Party. For the open attorney general's office, Democrat Eugene DePasquale and Republican Dave Sunday are the major party nominees. Third-party candidates filing by Thursday's deadline were Robert Cowburn of the Libertarian Party, Richard Weiss of the Green Party, Eric Settle of the Forward Party and Justin Magill of the Constitution Party. For treasurer, the Republican incumbent, Stacy Garrity, is being challenged by Democrat Erin McClelland. Third-party candidates who filed to run for the office are Nickolas Ciesielski of the Libertarian Party, Chris Foster of the Forward Party and Troy Bowman of the Constitution Party. For auditor general, the Republican incumbent, Tim DeFoor, is being challenged by Democrat Malcolm Kenyatta. Third-party candidates who filed to run for the office are Reece Smith of the Libertarian Party and Alan Goodrich of the Constitution Party.....

Legalaz/02-Mde102417

Legalaz

Entry not found

ajrayman/AuthorityRespect_continuous

ajrayman

--- license: mit base_model: roberta-base tags: - generated_from_trainer model-index: - name: AuthorityRespect_continuous results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # AuthorityRespect_continuous This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.0299 - Rmse: 0.1729 - Mae: 0.1364 - Corr: 0.3046 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rmse | Mae | Corr | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:| | No log | 1.0 | 251 | 0.0303 | 0.1740 | 0.1391 | 0.2853 | | 0.0409 | 2.0 | 502 | 0.0299 | 0.1729 | 0.1364 | 0.3046 | ### Framework versions - Transformers 4.43.3 - Pytorch 2.4.0 - Datasets 2.20.0 - Tokenizers 0.19.1

camillop/mistral-7B-cont-pre-ita-orpo

camillop

transformers

text-generation

--- library_name: transformers tags: - trl - orpo --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]

edthrth/In-Mali-Ukraines-shadow-behind-rebels-at-war-with-Wagners-Russian-mercenaries-g5-updated

edthrth

--- language: - en --- []() read the full article here : https://data.iowadot.gov/groups/7008c6f3be0741deb2e9d7b00ef0d934 Source : https://feedbackportal.microsoft.com/feedback/idea/95a7ff0b-344f-ef11-b4ad-0022484d3ecc Flash News : https://data.lacounty.gov/groups/5bbd082d54d1401f9a23827343042900 Biden last Talk : https://data.lacounty.gov/groups/55d9ca98c5d142fe954618c9b23e28e3 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/96c82f377ff74500933a09b79bddb2f5 Other Sources : https://data.lacounty.gov/groups/ab2c44c67c78400aaabfaa414f2deffb https://data.iowadot.gov/groups/d11d07b72bc24225b661cb4f5d6c9fba https://data.lacounty.gov/groups/e8b9788ce9b5414b976c8fe50d77c956 https://data.lacounty.gov/groups/f7e1481e87de402b9da40153f0b59904 https://data.lacounty.gov/groups/343ed314ca81442bb932bdc016bd27b2 https://data.iowadot.gov/groups/7008c6f3be0741deb2e9d7b00ef0d934 https://data.iowadot.gov/groups/07acb41d7bdb414ba78c9d34701d1145 https://data.lacounty.gov/groups/06b4962f33fb403d8aa446c0ac0d04c1 https://groups.google.com/g/chromium-reviews-en-es/c/ks8uOP_0zD4 https://data.iowadot.gov/groups/e4279e19431d47df85e7109a01099d31 https://data.lacounty.gov/groups/3013a2d98f4d4b94ba2a3a5279995520 https://data.lacounty.gov/groups/a515c3b6f9154667b06ca76be132ce16 https://groups.google.com/g/retro-comp/c/BeiHgtGG4UE https://data.lacounty.gov/groups/d7794f8c49ee4142b8c8162b07aa20d8 In videos widely shared on social media, dozens of bodies lie lifeless in the desert. All around are the carcasses of burnt-out pick-ups and vehicles, some still smoking. On Saturday, July 27, a convoy of the Malian army and its Russian auxiliaries from the Wagner Group was ambushed by pro-independence rebels from the Strategic Framework for the Defense of the People of Azawad (CSP-DPA) near Tin Zaouatine, a town straddling the border between Mali and Algeria. Difficult to estimate precisely, the toll was heavy for Wagner's mercenaries. According to a CSP-DPA military leader, some 50 paramilitaries were killed and two taken prisoner, making Tin Zaouatine the worst defeat for the group since it arrived in Mali in late 2021 at the request of the ruling junta. On Monday, 48 hours after the battle, Andriy Yusov, spokesman for Ukraine's military intelligence service (GUR), made a statement that did not go unnoticed. During a broadcast on a local TV channel, he suggested that his services were collaborating with the rebels operating in northern Mali. According to him, they had "received useful information, and not just that which allowed them to carry out a successful military operation against Russian war criminals." "We certainly won't talk about the details just yet," he said. According to one rebel commander, "exchanges" are indeed taking place with Ukrainian intelligence services to see how they can cooperate. "We have links with the Ukrainians, but just as we have with everyone else, the French, Americans and others," said a spokesman for the CSP-DPA Mohamed Elmaouloud Ramadane. Since being ousted by the Malian army and Wagner from their historic stronghold of Kidal in northern Mali in November 2023, the rebels have been forced to reorganize to continue their fight against the ruling junta in Bamako. For their part, the Ukrainian authorities, who claim to be at war with Russia in every theater, have made targeting Russian paramilitaries a strategic objective. Therefore, in November 2023, videos made public by the Kyiv Post, Ukraine's leading English-language newspaper, revealed that they had opened a new front in Africa by sending Special Forces commandos to Sudan to counter Russian mercenaries supporting General Mohammed Hamdan Dagalo's Rapid Support Forces (RSF). "With the Ukrainians, we face the same Russian threat. So, naturally, we have to show solidarity. We have to share information on Wagner's capabilities and modus operandi. The Ukrainians have promised to go further," said a CSP-DPA executive. According to corroborating sources, the cooperation is not limited to intelligence sharing: The Ukrainian special services have trained Malian rebels in the handling of small homemade drones loaded with explosives, an aerial weapon regularly used in their war against the Russian army. As CNN revealed, this type of drone had already been used against Wagner fighters near Khartoum in September 2023.....

abhinavreddy17/happy_face_HQ_LoRA

abhinavreddy17

diffusers

text-to-image

--- base_model: stabilityai/stable-diffusion-xl-base-1.0 library_name: diffusers license: openrail++ tags: - text-to-image - text-to-image - diffusers-training - diffusers - lora - template:sd-lora - stable-diffusion-xl - stable-diffusion-xl-diffusers instance_prompt: photo of happy face widget: [] --- <!-- This model card has been generated automatically according to the information the training script had access to. You should probably proofread and complete it, then remove this comment. --> # SDXL LoRA DreamBooth - abhinavreddy17/happy_face_HQ_LoRA <Gallery /> ## Model description These are abhinavreddy17/happy_face_HQ_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained using [DreamBooth](https://dreambooth.github.io/). LoRA for the text encoder was enabled: False. Special VAE used for training: madebyollin/sdxl-vae-fp16-fix. ## Trigger words You should use photo of happy face to trigger the image generation. ## Download model Weights for this model are available in Safetensors format. [Download](abhinavreddy17/happy_face_HQ_LoRA/tree/main) them in the Files & versions tab. ## Intended uses & limitations #### How to use ```python # TODO: add an example code snippet for running this diffusion pipeline ``` #### Limitations and bias [TODO: provide examples of latent issues and potential remediations] ## Training details [TODO: describe the data used to train the model]

edthrth/Senate-Skips-Town-With-September-Shutdown-Deadline-Looming-da-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/78b1c67bcf0648f1b69a468876bbef12 Source : https://data.lacounty.gov/groups/e85144fa94184e51afc75ffcbb8a3c6b Flash News : https://data.lacounty.gov/groups/6b61baed1b2645e0a0dd784044b965aa Biden last Talk : https://data.iowadot.gov/groups/aa49134337364a7f9e1dc249603220f0 Russian Ukrain Breaking News : https://data.iowadot.gov/groups/f00adba8005543aab1d20c68d621613f Other Sources : https://data.lacounty.gov/groups/272302a0149a489ebd9b85dee7fe6606 https://data.iowadot.gov/groups/dd9c5e03371846ab95df5e86e0affe06 https://huggingface.co/edthrth/Hezbollah-fires-rocket-barrages-at-northern-Israel-2d-updated https://data.lacounty.gov/groups/bf6d515bd3674b8b8ee8b85b0311ebc2 https://data.iowadot.gov/groups/c57a4b58da7347aa96c73d9baf453195 https://data.lacounty.gov/groups/eb1fcb15716942438e22ebb1e0e0fa0c https://groups.google.com/g/codename-taurus/c/7t1XLiWnFcU https://data.lacounty.gov/groups/99331a60b07244858b51c86d31dd393d https://data.lacounty.gov/groups/b72c28855c804f939a361d2ae1889d42 https://data.lacounty.gov/groups/6d344617ead14e1daa121a7e53ea9f83 https://www.sheffield.ac.uk/js/fckeditor/editor/filemanager/browser/default/browser.html?id=howtohackaccountnnnew_3543255554&Connector=https://unitedstatednews.com https://huggingface.co/edthrth/Gershkovich-among-3-Americans-freed-in-historic-prisoner-swap-with-Russia-h3-updated https://data.iowadot.gov/groups/d204fdca49ea4344ba88574c069434df https://data.lacounty.gov/groups/5ff19d3465cc40228709f73bce6432ef The Senate on Thursday started its summer recess, with no new votes scheduled until the ninth of September, 39 days from now. Before lawmakers departed, the Senate Appropriations Committee voted on an overwhelmingly bipartisan basis to advance four annual spending measures for fiscal year 2025, including a bill that would provide $852.2 billion in defense funding, an increase of $27.2 billion, or 3.3%, over the 2024 level. The House has approved $833 billion in defense funding, which represents a 1% increase, in keeping with the limits set by the bipartisan 2023 Fiscal Responsibility Act. In all, the four Senate bills advanced Thursday call for nearly $1.2 trillion in federal funding for the departments of Defense; Treasury; Energy; Labor; Health and Human Services; and Education. They also would fund the federal judiciary, the Small Business Administration and other agencies and provide a $319 million increase in spending on port and harbor maintenance, raising that pot of money to more than $3.1 billion. Thursday's votes mean the Appropriations panel has now cleared 11 of the 12 annual spending bills, with the delayed bill for the Department of Homeland Security remaining. "We are continuing to work hard to get to a bipartisan agreement on the Homeland Security bill," Appropriations Committee Chair Patty Murray said. "The additional time will allow us to take a closer look at issues such as the Secret Service budget as we learn more from the assassination attempt of former President Trump just over two weeks ago, and my hope is that we will be able to mark that up when we return." Congressional appropriators will have much work to do when they get back, and they'll have just days left before a government shutdown deadline at the end of September. House Republicans have passed just five of the 12 annual appropriations bills, and they did so on a partisan basis, meaning that even the measures they have approved would stall out in the Democratic-led Senate. The remaining bills have been bogged down by GOP infighting. The process on the Senate side has been more bipartisan, but none of the 12 bills have been brought to a full floor vote -- and Senate appropriators are looking to increase spending beyond what was called for in a bipartisan deal reached last year. In short, Congress will more than likely need to pass a stopgap funding bill to keep government agencies running until after the November elections and buy time for appropriators to figure out their path forward. "I'm confident if Speaker [Mike] Johnson learns the lessons of the past few times and works in a bipartisan way, we can avoid a shutdown." Senate Majority Leader Chuck Schumer told reporters Thursday.....

Krabat/google-gemma-2b-1722637635

Krabat

peft

--- base_model: google/gemma-2b library_name: peft --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed] ### Framework versions - PEFT 0.12.0

YBXL/Med-LLaMA3-8B-ft0.5

YBXL

transformers

text-generation

--- base_model: unsloth/llama-3-8b-Instruct-bnb-4bit language: - en license: apache-2.0 tags: - text-generation-inference - transformers - llama - trl --- - **Base model:** "YBXL/Med-LLaMA3-8B" - **Developed by:** RUI SHI - **Dataset:** "YBXL/train_chat_filtered" - **Epoch(es):** 0.5 - **License:** apache-2.0 This llama model was trained by Huggingface's TRL library, using "YBXL/train_chat_filtered" diagnosis question and answering dataset.

mradermacher/Waie1-GGUF

mradermacher

--- base_model: mssqpi/Waie1 language: - en library_name: transformers license: mit quantized_by: mradermacher --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> static quants of https://huggingface.co/mssqpi/Waie1 <!-- provided-files --> weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion. ## Usage If you are unsure how to use GGUF files, refer to one of [TheBloke's READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for more details, including on how to concatenate multi-part files. ## Provided Quants (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) | Link | Type | Size/GB | Notes | |:-----|:-----|--------:|:------| | [GGUF](https://huggingface.co/mradermacher/Waie1-GGUF/resolve/main/Waie1.Q2_K.gguf) | Q2_K | 26.5 | | | [GGUF](https://huggingface.co/mradermacher/Waie1-GGUF/resolve/main/Waie1.IQ3_XS.gguf) | IQ3_XS | 29.4 | | | [GGUF](https://huggingface.co/mradermacher/Waie1-GGUF/resolve/main/Waie1.IQ3_S.gguf) | IQ3_S | 31.0 | beats Q3_K* | | [GGUF](https://huggingface.co/mradermacher/Waie1-GGUF/resolve/main/Waie1.Q3_K_S.gguf) | Q3_K_S | 31.0 | | | [GGUF](https://huggingface.co/mradermacher/Waie1-GGUF/resolve/main/Waie1.IQ3_M.gguf) | IQ3_M | 32.0 | | | [GGUF](https://huggingface.co/mradermacher/Waie1-GGUF/resolve/main/Waie1.Q3_K_M.gguf) | Q3_K_M | 34.4 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Waie1-GGUF/resolve/main/Waie1.Q3_K_L.gguf) | Q3_K_L | 37.2 | | | [GGUF](https://huggingface.co/mradermacher/Waie1-GGUF/resolve/main/Waie1.IQ4_XS.gguf) | IQ4_XS | 38.4 | | | [GGUF](https://huggingface.co/mradermacher/Waie1-GGUF/resolve/main/Waie1.Q4_K_S.gguf) | Q4_K_S | 40.4 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Waie1-GGUF/resolve/main/Waie1.Q4_K_M.gguf) | Q4_K_M | 42.6 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Waie1-GGUF/resolve/main/Waie1.Q5_K_S.gguf) | Q5_K_S | 48.8 | | | [GGUF](https://huggingface.co/mradermacher/Waie1-GGUF/resolve/main/Waie1.Q5_K_M.gguf) | Q5_K_M | 50.0 | | | [PART 1](https://huggingface.co/mradermacher/Waie1-GGUF/resolve/main/Waie1.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Waie1-GGUF/resolve/main/Waie1.Q6_K.gguf.part2of2) | Q6_K | 58.0 | very good quality | | [PART 1](https://huggingface.co/mradermacher/Waie1-GGUF/resolve/main/Waie1.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Waie1-GGUF/resolve/main/Waie1.Q8_0.gguf.part2of2) | Q8_0 | 75.1 | fast, best quality | Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):  And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9 ## FAQ / Model Request See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized. ## Thanks I thank my company, [nethype GmbH](https://www.nethype.de/), for letting me use its servers and providing upgrades to my workstation to enable this work in my free time. <!-- end -->

OussamaAzz/TinyLlama1b-sql

OussamaAzz

transformers

--- library_name: transformers tags: [] --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]

edthrth/Proposal-would-bar-airline-fees-for-parents-to-sit-beside-kids-1c-updated

edthrth

--- language: - en --- []() read the full article here : https://data.iowadot.gov/groups/7008c6f3be0741deb2e9d7b00ef0d934 Source : https://data.lacounty.gov/groups/ab2c44c67c78400aaabfaa414f2deffb Flash News : https://data.iowadot.gov/groups/aa49134337364a7f9e1dc249603220f0 Biden last Talk : https://data.lacounty.gov/groups/33ebc015df9f42998c9b464f180863c1 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/99db01b5d24249d7a7c0ea6c4bb108fe Other Sources : https://data.iowadot.gov/groups/ddf41be60549428e9c7f10117e489193 https://data.lacounty.gov/groups/6fb4ae28f4a7439897272faaf1eae5d5 https://data.lacounty.gov/groups/a515c3b6f9154667b06ca76be132ce16 https://data.lacounty.gov/groups/ef97a3a00db74849b200c7befe7977ae https://huggingface.co/edthrth/Jailer-agrees-to-plead-guilty-in-case-of-inmate-who-froze-to-death-at-jail-g2-updated https://data.lacounty.gov/groups/ae8d0c1e810f421194d64d66db29ac36 https://data.iowadot.gov/groups/c96d0ce2e6dc412ea3706194f830c0cf https://data.lacounty.gov/groups/2e4cddeb6f494454966b4bb33b99808f https://data.lacounty.gov/groups/bfab507453c44cd0a81dbdae69305fcd https://data.lacounty.gov/groups/55d9ca98c5d142fe954618c9b23e28e3 https://data.lacounty.gov/groups/920ea0b30c7145bdb519839c098dc6d5 https://data.lacounty.gov/groups/e48471cdff1d4ce78d9d3e1b947ef7a5 https://data.lacounty.gov/groups/191b8d8656c142079b74f5c2fefc1794 https://data.lacounty.gov/groups/d7794f8c49ee4142b8c8162b07aa20d8 WASHINGTON -- The Biden administration on Thursday will propose a rule that would prevent airlines from charging extra for families with young children to sit near each other in a push to crack down on so-called junk fees. The rule is the administration's third this year focused on passenger protection, adding to one seeking price transparency and another requiring quick refunds on canceled flights. "This is, of course, part of the bigger picture of the Biden-Harris administration's work to protect the rights of consumers, including airline passengers," Transportation Secretary Pete Buttigieg said on a call with reporters. "Families don't need any additional stresses or costs when flying on top of how demanding it can be to be a parent flying with your kids." The proposed rule would require airlines to seat parents next to their young children, defined as 13 and under, for free within 48 hours of booking. That means adjacent or in the same row, but not separated by an aisle, in every class of service. Airlines would be prohibited from defining class in a way that limits availability of family seating. In situations where it is impossible to provide adjacent seating for multiple young children, it would require seats across the aisle from, directly in front of, or directly behind the parent or accompanying adult. If adjacent family seats are not available at booking, airlines would be required to provide passengers the choice between receiving a full refund or waiting for family seating to become available later. If they choose to wait and adjacent seats do not free up, airlines must give families an option to rebook for free on the next flight with available family seating. Airlines would also have to disclose "clearly and conspicuously" that family seating is free. Airlines that violate the rule would be subject to civil penalties for each violation. White House officials said on a call with reporters that the fee-free family seating rule would save a family of four as much as $200 per round trip if seat fees are $25. Buttigieg added that it would also avoid situations where passengers are asked to give up their seat for a family to sit together. The notion of fee-free family seating has been popular among lawmakers in Congress. Lawmakers included a provision directing the Federal Aviation Administration to propose a rule banning such fees in an FAA reauthorization bill passed earlier this year. Airlines for America, which has opposed many Biden administration airlines rules, has argued that many airlines already provide family seating free of charge. According to DOT's Airline Customer Service Dashboard, Delta Air Lines, Southwest Airlines, Spirit Airlines and United Airlines are among the larger air carriers that have not committed to fee-free family seating. The proposed rule comes just a few days after the 5th U.S. Circuit Court of Appeals sided with airlines and blocked a previous Biden administration rule requiring airlines to disclose extra service fees. In a decision filed Monday, the court said the rule likely exceeds DOT authority and will "irreparably harm" airlines. "The airline industry lobby is trying to tie this up with lawsuits, but we will not back down from protecting passengers," Buttigieg wrote on X after the ruling. "Airlines are simply wrong to argue that merely having to disclose their fees would 'irreparably harm' them. It's common sense."....

Krabat/Qwen-Qwen1.5-0.5B-1722637914

Krabat

peft

--- base_model: Qwen/Qwen1.5-0.5B library_name: peft --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed] ### Framework versions - PEFT 0.12.0

Legalaz/05-Mde102417

Legalaz

Entry not found

edthrth/HII-Hosts-Chief-of-Naval-Operations-at-Newport-News-Shipbuilding-Business-Upturn-ac-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/f8c4b606dea143f287bcb745ba278a64 Source : https://data.lacounty.gov/groups/64e4a44a6aed433dabd5a3e7c2df6dd5 Flash News : https://data.lacounty.gov/groups/feaf2b038d744076b39cfed4f660a6e9 Biden last Talk : https://data.lacounty.gov/groups/5bbd082d54d1401f9a23827343042900 Russian Ukrain Breaking News : https://data.iowadot.gov/groups/01f3c942b4b44a8585262b0b42b6febd Other Sources : https://data.iowadot.gov/groups/bfccfe57a2f24cf9ab181f40894cc8f5 https://data.lacounty.gov/groups/8b28cb09ebf34d4486468e4484e4b8fd https://data.lacounty.gov/groups/2e4cddeb6f494454966b4bb33b99808f https://storymaps.arcgis.com/stories/c15de511fa9d4dffa6125538adffe89f https://data.iowadot.gov/groups/899c4b461d3c4f709fe2206561efc24c https://data.lacounty.gov/groups/e8b9788ce9b5414b976c8fe50d77c956 https://data.lacounty.gov/groups/ee1b4221250145e7872e45bf95323709 https://data.lacounty.gov/groups/272302a0149a489ebd9b85dee7fe6606 https://data.lacounty.gov/groups/3b4628f4ee0b4976ab77f113248d1f72 https://data.lacounty.gov/groups/a515c3b6f9154667b06ca76be132ce16 https://data.lacounty.gov/groups/93a3a2660c274b478cbf762ff0750f5f https://groups.google.com/g/sip_js/c/PBhMyUeW1uA https://data.lacounty.gov/groups/c5672fe31b7649e5859b3523fa4a4e95 https://data.lacounty.gov/groups/7164aa1108734b91a3b6a2514b3b1bf6 NEWPORT NEWS, Va., Aug. 01, 2024 (GLOBE NEWSWIRE) -- HII (NYSE: HII) hosted Chief of Naval Operations Adm. Lisa Franchetti at the company's Newport News Shipbuilding division Wednesday. The visit, including a meeting with company leadership and a tour of the shipyard, focused on investments by HII and the Navy to improve the working experience for shipbuilders and sailors assigned to vessels under construction or undergoing maintenance at NNS. Among them: "We remain steadfast in our commitment to enhancing the working experience for our shipbuilders who build the world's greatest ships and the sailors who serve on them to protect our freedoms," said Bryan Caccavale, NNS vice president of Navy programs. "We're proud of the progress Admiral Franchetti saw during her visit, and we look forward to continuing our strong partnership for initiatives still to come." Photos accompanying this release are available at: https:\/\/hii.com\/news\/hii-hosts-chief-of-naval-operations-at-newport-news-shipbuilding\/. "It's great to hear from our Sailors here at Newport News Shipbuilding that our Quality of Service initiatives are making a difference," Franchetti said. "I appreciate the candid conversations and the hard work to remove barriers that has occurred this past year as a result of the Cross Functional Team's efforts to work with our industry partners and other stakeholders to transform Fleet feedback into results." NNS is the nation's sole designer, builder and refueler of nuclear-powered aircraft carriers and one of only two shipyards capable of designing and building nuclear‐powered submarines. About HII HII is a global, all-domain defense provider. HII's mission is to deliver the world's most powerful ships and all-domain solutions in service of the nation, creating the advantage for our customers to protect peace and freedom around the world. As the nation's largest military shipbuilder, and with a more than 135-year history of advancing U.S. national security, HII delivers critical capabilities extending from ships to unmanned systems, cyber, ISR, AI\/ML and synthetic training. Headquartered in Virginia, HII's workforce is 44,000 strong. For more information, visit: A photo accompanying this announcement is available at https:\/\/www.globenewswire.com\/NewsRoom\/AttachmentNg\/2d5bdcd2-8b94-4177-8ce2-2f3e8b0eab19 Disclaimer: The above press release comes to you under an arrangement with GlobeNewswire. Business Upturn takes no editorial responsibility for the same.....

edthrth/Public-health-and-safety-emergency-set-to-expire-at-Shreveport-Apartments-3f-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/630d6f421529474da309c736f555549d Source : https://data.lacounty.gov/groups/343ed314ca81442bb932bdc016bd27b2 Flash News : https://data.iowadot.gov/groups/f00adba8005543aab1d20c68d621613f Biden last Talk : https://data.lacounty.gov/groups/f3767f687c3748008bfb24866d36d3a2 Russian Ukrain Breaking News : https://data.iowadot.gov/groups/7f779820ce514ffc8e2a5c015702a9a5 Other Sources : https://data.lacounty.gov/groups/c5672fe31b7649e5859b3523fa4a4e95 https://data.lacounty.gov/groups/af034538dd4946928e76ce709fd74fb1 https://data.lacounty.gov/groups/c5672fe31b7649e5859b3523fa4a4e95 https://data.lacounty.gov/groups/1f32a96d5d7a434db36f1d4d37506a69 https://data.lacounty.gov/groups/772acd9e3e7343b39702eb8178436463 https://data.iowadot.gov/groups/899c4b461d3c4f709fe2206561efc24c https://data.lacounty.gov/groups/90223d3d1387480398ab22e9a25b20bd https://data.lacounty.gov/groups/9327acc6a34a4185bb315eca822bb27a https://data.lacounty.gov/groups/3013a2d98f4d4b94ba2a3a5279995520 https://huggingface.co/edthrth/Jailer-agrees-to-plead-guilty-in-case-of-inmate-who-froze-to-death-at-jail-e2-updated https://data.lacounty.gov/groups/99db01b5d24249d7a7c0ea6c4bb108fe https://data.iowadot.gov/groups/07acb41d7bdb414ba78c9d34701d1145 https://data.iowadot.gov/groups/c96d0ce2e6dc412ea3706194f830c0cf https://data.lacounty.gov/groups/9f48c48825d042f8b3ef290e70c8a114 SHREVEPORT, La. - The public health and safety emergency at three of Shreveport's troubled apartment complexes is set to expire Friday. Mayor Arceneaux declared that the Jolie, Pines, and Villa Norte Apartment Complexes were under an emergency due to hazardous conditions. The declaration gave police the authority to remove people from the property. It also allowed the Public Works and Property Standards Departments to remove any illegally dumped trash.....

mradermacher/lama-2-7b-chat-hf-playbooks-finetuned-GGUF

mradermacher

transformers

--- base_model: agamage/lama-2-7b-chat-hf-playbooks-finetuned language: - en library_name: transformers quantized_by: mradermacher tags: [] --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> static quants of https://huggingface.co/agamage/lama-2-7b-chat-hf-playbooks-finetuned <!-- provided-files --> weighted/imatrix quants are available at https://huggingface.co/mradermacher/lama-2-7b-chat-hf-playbooks-finetuned-i1-GGUF ## Usage If you are unsure how to use GGUF files, refer to one of [TheBloke's READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for more details, including on how to concatenate multi-part files. ## Provided Quants (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) | Link | Type | Size/GB | Notes | |:-----|:-----|--------:|:------| | [GGUF](https://huggingface.co/mradermacher/lama-2-7b-chat-hf-playbooks-finetuned-GGUF/resolve/main/lama-2-7b-chat-hf-playbooks-finetuned.Q2_K.gguf) | Q2_K | 2.6 | | | [GGUF](https://huggingface.co/mradermacher/lama-2-7b-chat-hf-playbooks-finetuned-GGUF/resolve/main/lama-2-7b-chat-hf-playbooks-finetuned.IQ3_XS.gguf) | IQ3_XS | 2.9 | | | [GGUF](https://huggingface.co/mradermacher/lama-2-7b-chat-hf-playbooks-finetuned-GGUF/resolve/main/lama-2-7b-chat-hf-playbooks-finetuned.IQ3_S.gguf) | IQ3_S | 3.0 | beats Q3_K* | | [GGUF](https://huggingface.co/mradermacher/lama-2-7b-chat-hf-playbooks-finetuned-GGUF/resolve/main/lama-2-7b-chat-hf-playbooks-finetuned.Q3_K_S.gguf) | Q3_K_S | 3.0 | | | [GGUF](https://huggingface.co/mradermacher/lama-2-7b-chat-hf-playbooks-finetuned-GGUF/resolve/main/lama-2-7b-chat-hf-playbooks-finetuned.IQ3_M.gguf) | IQ3_M | 3.2 | | | [GGUF](https://huggingface.co/mradermacher/lama-2-7b-chat-hf-playbooks-finetuned-GGUF/resolve/main/lama-2-7b-chat-hf-playbooks-finetuned.Q3_K_M.gguf) | Q3_K_M | 3.4 | lower quality | | [GGUF](https://huggingface.co/mradermacher/lama-2-7b-chat-hf-playbooks-finetuned-GGUF/resolve/main/lama-2-7b-chat-hf-playbooks-finetuned.Q3_K_L.gguf) | Q3_K_L | 3.7 | | | [GGUF](https://huggingface.co/mradermacher/lama-2-7b-chat-hf-playbooks-finetuned-GGUF/resolve/main/lama-2-7b-chat-hf-playbooks-finetuned.IQ4_XS.gguf) | IQ4_XS | 3.7 | | | [GGUF](https://huggingface.co/mradermacher/lama-2-7b-chat-hf-playbooks-finetuned-GGUF/resolve/main/lama-2-7b-chat-hf-playbooks-finetuned.Q4_K_S.gguf) | Q4_K_S | 4.0 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/lama-2-7b-chat-hf-playbooks-finetuned-GGUF/resolve/main/lama-2-7b-chat-hf-playbooks-finetuned.Q4_K_M.gguf) | Q4_K_M | 4.2 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/lama-2-7b-chat-hf-playbooks-finetuned-GGUF/resolve/main/lama-2-7b-chat-hf-playbooks-finetuned.Q5_K_S.gguf) | Q5_K_S | 4.8 | | | [GGUF](https://huggingface.co/mradermacher/lama-2-7b-chat-hf-playbooks-finetuned-GGUF/resolve/main/lama-2-7b-chat-hf-playbooks-finetuned.Q5_K_M.gguf) | Q5_K_M | 4.9 | | | [GGUF](https://huggingface.co/mradermacher/lama-2-7b-chat-hf-playbooks-finetuned-GGUF/resolve/main/lama-2-7b-chat-hf-playbooks-finetuned.Q6_K.gguf) | Q6_K | 5.6 | very good quality | | [GGUF](https://huggingface.co/mradermacher/lama-2-7b-chat-hf-playbooks-finetuned-GGUF/resolve/main/lama-2-7b-chat-hf-playbooks-finetuned.Q8_0.gguf) | Q8_0 | 7.3 | fast, best quality | | [GGUF](https://huggingface.co/mradermacher/lama-2-7b-chat-hf-playbooks-finetuned-GGUF/resolve/main/lama-2-7b-chat-hf-playbooks-finetuned.f16.gguf) | f16 | 13.6 | 16 bpw, overkill | Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):  And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9 ## FAQ / Model Request See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized. ## Thanks I thank my company, [nethype GmbH](https://www.nethype.de/), for letting me use its servers and providing upgrades to my workstation to enable this work in my free time. <!-- end -->

Saturn-App/Generator3

Saturn-App

Entry not found

edthrth/Gershkovich-Whelan-Freed-in-LargeScale-Russian-Prisoner-Swap-ae-updated

edthrth

--- language: - en --- []() read the full article here : https://data.iowadot.gov/groups/ddf41be60549428e9c7f10117e489193 Source : https://data.iowadot.gov/groups/ddf41be60549428e9c7f10117e489193 Flash News : https://data.lacounty.gov/groups/f8c4b606dea143f287bcb745ba278a64 Biden last Talk : https://data.lacounty.gov/groups/3013a2d98f4d4b94ba2a3a5279995520 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/ef97a3a00db74849b200c7befe7977ae Other Sources : https://data.lacounty.gov/groups/a61893ea71f749928f5ff962cb539c00 https://data.lacounty.gov/groups/90223d3d1387480398ab22e9a25b20bd https://data.lacounty.gov/groups/64e4a44a6aed433dabd5a3e7c2df6dd5 https://data.iowadot.gov/groups/899c4b461d3c4f709fe2206561efc24c https://data.lacounty.gov/groups/499ed01522f34bbea814dc8c6a20d71c https://data.iowadot.gov/groups/37b2424f3a794a29b07ae1eda9795f9f https://data.lacounty.gov/groups/d3309f3de7944f2c82348f086d999553 https://data.lacounty.gov/groups/90223d3d1387480398ab22e9a25b20bd https://data.iowadot.gov/groups/07acb41d7bdb414ba78c9d34701d1145 https://data.lacounty.gov/groups/973c51906a744b23897c135afcea7044 https://data.iowadot.gov/groups/0096249e6fff4c509088787477f8568e https://data.lacounty.gov/groups/57003d2703314efdaa38e9d8764b9fc9 https://data.lacounty.gov/groups/630d6f421529474da309c736f555549d https://data.lacounty.gov/groups/beea2884544e42d2b6c007913c75cf7a By submitting your email, you agree to the Privacy Policy and Terms of Use and to receive email correspondence from us. You may opt out at any time. Two dozen prisoners detained across seven countries were exchanged on Thursday in one of the largest prisoner swaps since the Cold War. Russia and Belarus released 16 people held on what U.S. and other Western countries considered politically motivated charges in exchange for eight people detained by the United States, Germany, Norway, and Slovenia. The exchange took place at an airport in Ankara, Turkey. Among those released were Wall Street Journal reporter Evan Gershkovich and former U.S. Marine Paul Whelan, both of whom have been the subjects of exchange talks for months. Gershkovich was arrested while on a reporting assignment in the Russian city of Yekaterinburg and accused of spying for the CIA. Last month, he was convicted of espionage and sentenced to 16 years in prison, becoming the first U.S. reporter to be put on trial for spying since the Cold War. Whelan -- a joint U.S., Irish, British, and Canadian citizen -- was arrested at a Moscow hotel in December 2018 for alleged involvement in an intelligence operation. He was sentenced in 2020 to 16 years at a labor camp in Mordovia for espionage. Both Gershkovich and Whelan have denied the spying accusations. Other key prisoners released in the deal include Russian American journalist Alsu Kurmasheva, who was detained in June 2023 for allegedly spreading false information about the Russian army; Russian opposition politician Ilya Yashin; and Washington Post columnist and dual Russian-British citizen Vladimir Kara-Murza, who received a record 25-year prison sentence last April for alleged treason and criticizing Russia's invasion of Ukraine. In return, Russia obtained the release of eight people, including Col. Vadim Krasikov -- a Russian secret service operative who was serving a life sentence in Germany for the 2019 assassination of Georgian national Zelimkhan Khangoshvili, who helped fight Russian forces in Chechnya. Krasikov was originally considered for an exchange with dissident Alexei Navalny before his death at a Russian penal colony in February. The swap comes at a time of heightened tensions between Washington and Moscow as Russia continues its two-year war against Ukraine. "I would counsel anyone to be cautious in surmising from this that it's some sort of breakthrough in the relationship or that it portends some sort of detente with Russia," a senior U.S. administration official told Foreign Policy. "That's not going to be the case, given what [Russian President Vladimir] Putin continues to do inside Ukraine." But experts predict that Thursday's deal could provide Putin and U.S. President Joe Biden with diplomatic victories. For Putin, the deal demonstrates his loyalty to bringing home Russian agents arrested abroad and paves the way for future prisoner swaps with Ukraine. For Biden, it highlights his long-time pledge to support Moscow's pro-democracy movement and rescue imprisoned U.S. citizens. The two nations have engaged in prisoner swaps in recent years, though none as large as Thursday's. In April 2022, the Kremlin released U.S. Marine Trevor Reed for Russian drug trafficker Konstantin Yaroshenko. And in December 2022, Moscow exchanged U.S. basketball player Brittney Griner for Russian arms dealer Viktor Bout. The Committee to Protect Journalists recorded at least 22 journalists imprisoned in Russia as of December 2023. And almost 800 people are currently imprisoned inside Russia on politically motivated or religious charges, according to human rights group Memorial. Assassination intelligence. Israel confirmed on Thursday that an Israeli airstrike last month killed Hamas military chief Mohammed Deif in the southern Gaza city of Khan Younis. More than 90 people, including displaced civilians in nearby tents, were also killed in the strike, according to local authorities at the time. Deif was considered one of the organizers of Hamas's Oct. 7, 2023, attack on Israel, which killed around 1,200 people. His death is "a significant milestone in the process of dismantling Hamas as a military and governing authority in Gaza," Israeli Defense Minister Yoav Gallant posted on X. The announcement comes one day after an attack largely believed to have been planned by Israel killed Hamas political leader Ismail Haniyeh while he was in Tehran for the inauguration of President Masoud Pezeshkian. That assassination followed Israeli forces killing senior Hezbollah commander Fuad Shukr in Beirut on Tuesday. Shukr was deemed responsible for a strike on Saturday that killed 12 children in the Israeli-controlled Golan Heights. In response to Haniyeh's killing in Tehran, Iranian Supreme Leader Ayatollah Ali Khamenei on Wednesday ordered a direct assault on Israel. Top Iranian officials met with representatives from key regional allies on Thursday to discuss retaliation options. Members from Hamas, Hezbollah, Palestinian Islamic Jihad, Yemen's Houthi movement, and Iraqi militias attended, all of whom are backed by Iran. It is unclear what the response might look like or when it may take place, but Iranian Gen. Mohammad Baqeri said Israel "will undoubtedly regret" its actions. Sept. 11 plea deal. Alleged 9\/11 mastermind Khalid Shaikh Mohammed and two other defendants at Guantánamo Bay agreed to a plea deal on Wednesday for their involvement in the deadly attacks on U.S. soil in 2001. Under the agreement, Mohammed as well as Walid bin Attash and Mustafa al-Hawsawi will face sentences of up to life imprisonment instead of the death penalty. Many family members of 9\/11 victims wanted the perpetrators to face death, but as decades passed, lawyers increasingly believed that plea deals were the only way to resolve the cases. Much of this is because interrogators used brutal torture techniques, such as waterboarding, to gather information, making it inadmissible in court. Two other accused conspirators remain in prison, with only one actually facing trial proceedings; last September, a judge deemed the other defendant, Ramzi bin al-Shibh, mentally incompetent to stand trial. High living costs. Thousands of young people took to the streets in Nigeria on Thursday to protest high costs of living. Nationwide demonstrations, touting #EndBadGovernanceinNigeria, are calling for President Bola Ahmed Tinubu to lower prices on food and fuel. Locals report police teargassing marchers, and security forces have blocked some pre-approved demonstration sites. The movement is expected to continue over the next 10 days, and safety at the marches remains a top concern. The protests carry the specter of mass demonstrations in 2020 that killed at least 56 Nigerians. And on Wednesday, an unrelated bombing at a café in Borno state killed at least 19 people, forcing the region to declare a 24-hour curfew. Last year, Tinubu introduced economic reforms that increased food inflation to 40 percent and tripled food prices. Almost 40 percent of Nigerians -- or around 87 million people -- live in poverty, making it the world's second-largest poor population, according to the World Bank. Athletes at the 2024 Paris Olympics are showing the world that they have more to offer than just their sports skills. For Norwegian swimmer Henrik Christiansen, that includes his love for chocolate muffins, which he has posted at least nine videos of while in the Olympic village. Also in the food influencer game is Italian gymnast Giorgia Villa, whose sponsorship by Parmigiano Reggiano (or as we like to call it, "Big Parma") has her modeling with huge wheels of parmesan cheese. British diver Tom Daley is unwinding during his time out of the water with a series of knitting projects. And U.S. gymnast Stephen Nedoroscik, aka "the pommel horse guy," has become an internet sensation with his thick glasses and high-scoring performance. Meanwhile, FP's World Brief writer is currently on the couch eating chocolate and watching the women's All-Around Gymnastics final.....

HydroniX/cordiseps

HydroniX

--- license: openrail ---

Legalaz/06-Mde102417

Legalaz

Entry not found

edthrth/Warning-over-DWP-Household-Support-Fund-payments-as-deadline-nears-f4-updated

edthrth

--- language: - en --- []() read the full article here : https://data.iowadot.gov/groups/c96d0ce2e6dc412ea3706194f830c0cf Source : https://data.iowadot.gov/groups/c45991364bae4590863490683aae42e6 Flash News : https://data.lacounty.gov/groups/93a3a2660c274b478cbf762ff0750f5f Biden last Talk : https://data.iowadot.gov/groups/ee4df13d714745b1a1c3086a528b52ac Russian Ukrain Breaking News : https://data.lacounty.gov/groups/aeaad5b8b96c49dc9337907d74de0f93 Other Sources : https://groups.google.com/g/retro-comp/c/3Dh7cZEEwPE https://huggingface.co/edthrth/3rdparty-candidates-file-to-run-for-president-US-Senate-in-Pa-ff-updated https://huggingface.co/edthrth/Overall-decrease-in-crime-reported-in-market-town-1d-updated https://data.lacounty.gov/groups/f8c4b606dea143f287bcb745ba278a64 https://data.lacounty.gov/groups/c5672fe31b7649e5859b3523fa4a4e95 https://data.lacounty.gov/groups/e48471cdff1d4ce78d9d3e1b947ef7a5 https://data.iowadot.gov/groups/cc4cbe3d97544a68b8d581a478ae1a38 https://data.lacounty.gov/groups/499ed01522f34bbea814dc8c6a20d71c https://data.lacounty.gov/groups/bea484f911a94a2ea5a9ddb04a15ea4a https://data.lacounty.gov/groups/ee1b4221250145e7872e45bf95323709 https://data.lacounty.gov/groups/64e4a44a6aed433dabd5a3e7c2df6dd5 https://data.lacounty.gov/groups/ee1b4221250145e7872e45bf95323709 https://data.lacounty.gov/groups/33ebc015df9f42998c9b464f180863c1 https://data.lacounty.gov/groups/e8b9788ce9b5414b976c8fe50d77c956 A scheme providing grants up to £550 for struggling families is soon to end with the DWP under pressure to renew the scheme. The Household Support Fund offers cash to local councils, which can be distributed in various forms such as vouchers or direct payments, to help the most vulnerable with their essential bills. Local authorities are providing payments up to £550 to assist with energy bills, water bills and food. Food vouchers may be available during the school holidays, according to Government information about the scheme. However, with the payments scheme now in its sixth round, it is due to conclude at the end of September - prompting calls from some Westminster politicians for its renewal. Lib Dem peer, Lord Mike Storey, questioned the Government on whether it had considered extending the scheme beyond September. Labour peer, Baroness Maeve Sherlock, stated that the new Government is "reviewing all policies" including the Household Support Fund. Another query came from Labour peer Baroness Margaret Ritchie, who asked what assessment they had made about the fund recently. In response, Baroness Sherlock explained the review system, stating: "DWP requires that Local Authorities provide Management Information (MI) returns to the Department, which demonstrate that they are delivering the scheme in accordance with the guidance and grant determination that the Department have set out for the scheme. "This includes information on the type of household supported, category of spending, types of support and how support has been accessed." She highlighted that the MI for the first three rounds of the fund had been published, with the most recent one being released a year ago in August 2023. This revealed that 26 million payments had been distributed with around two thirds of the payments spent on households with children, totalling to £800million. She mentioned that this review process is ongoing, adding: "DWP is conducting a process and impact evaluation of the fourth iteration of the Household Support Fund. "This includes research with a selection of representative Local Authority case study areas, consisting of interviews with Local Authority officials and their delivery partners, and surveys and interviews with recipients of the Household Support Fund. This evaluation will provide key evidence on how Local Authorities are delivering the scheme and the impacts of the funding for recipients."....

Krabat/Qwen-Qwen1.5-1.8B-1722638181

Krabat

peft

--- base_model: Qwen/Qwen1.5-1.8B library_name: peft --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed] ### Framework versions - PEFT 0.12.0

alexwb/reward_modeling_anthropic_hh_rm0.99

alexwb

--- license: other base_model: facebook/opt-350m tags: - trl - reward-trainer - generated_from_trainer metrics: - accuracy model-index: - name: reward_modeling_anthropic_hh_rm0.99 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # reward_modeling_anthropic_hh_rm0.99 This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.5922 - Accuracy: 0.6716 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 1.41e-05 - train_batch_size: 16 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 32 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 1.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:------:|:----:|:---------------:|:--------:| | 0.6448 | 0.1087 | 500 | 0.6522 | 0.6180 | | 0.6105 | 0.2174 | 1000 | 0.6485 | 0.6234 | | 0.6453 | 0.3262 | 1500 | 0.6207 | 0.6409 | | 0.6357 | 0.4349 | 2000 | 0.6204 | 0.6543 | | 0.6149 | 0.5436 | 2500 | 0.6132 | 0.6557 | | 0.6198 | 0.6523 | 3000 | 0.6047 | 0.6644 | | 0.6076 | 0.7610 | 3500 | 0.5999 | 0.6618 | | 0.6182 | 0.8698 | 4000 | 0.5948 | 0.6711 | | 0.588 | 0.9785 | 4500 | 0.5922 | 0.6716 | ### Framework versions - Transformers 4.40.2 - Pytorch 2.4.0+cu121 - Datasets 2.19.1 - Tokenizers 0.19.1

mradermacher/tamilan-2-27b-GGUF

mradermacher

transformers

--- base_model: mervinpraison/tamilan-2-27b language: - en library_name: transformers license: apache-2.0 quantized_by: mradermacher tags: - text-generation-inference - transformers - unsloth - gemma2 - trl - sft - praisonai - praison --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> static quants of https://huggingface.co/mervinpraison/tamilan-2-27b <!-- provided-files --> weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion. ## Usage If you are unsure how to use GGUF files, refer to one of [TheBloke's READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for more details, including on how to concatenate multi-part files. ## Provided Quants (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) | Link | Type | Size/GB | Notes | |:-----|:-----|--------:|:------| | [GGUF](https://huggingface.co/mradermacher/tamilan-2-27b-GGUF/resolve/main/tamilan-2-27b.Q2_K.gguf) | Q2_K | 10.5 | | | [GGUF](https://huggingface.co/mradermacher/tamilan-2-27b-GGUF/resolve/main/tamilan-2-27b.IQ3_XS.gguf) | IQ3_XS | 11.7 | | | [GGUF](https://huggingface.co/mradermacher/tamilan-2-27b-GGUF/resolve/main/tamilan-2-27b.IQ3_S.gguf) | IQ3_S | 12.3 | beats Q3_K* | | [GGUF](https://huggingface.co/mradermacher/tamilan-2-27b-GGUF/resolve/main/tamilan-2-27b.Q3_K_S.gguf) | Q3_K_S | 12.3 | | | [GGUF](https://huggingface.co/mradermacher/tamilan-2-27b-GGUF/resolve/main/tamilan-2-27b.IQ3_M.gguf) | IQ3_M | 12.6 | | | [GGUF](https://huggingface.co/mradermacher/tamilan-2-27b-GGUF/resolve/main/tamilan-2-27b.Q3_K_M.gguf) | Q3_K_M | 13.5 | lower quality | | [GGUF](https://huggingface.co/mradermacher/tamilan-2-27b-GGUF/resolve/main/tamilan-2-27b.Q3_K_L.gguf) | Q3_K_L | 14.6 | | | [GGUF](https://huggingface.co/mradermacher/tamilan-2-27b-GGUF/resolve/main/tamilan-2-27b.IQ4_XS.gguf) | IQ4_XS | 15.0 | | | [GGUF](https://huggingface.co/mradermacher/tamilan-2-27b-GGUF/resolve/main/tamilan-2-27b.Q4_K_S.gguf) | Q4_K_S | 15.8 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/tamilan-2-27b-GGUF/resolve/main/tamilan-2-27b.Q4_K_M.gguf) | Q4_K_M | 16.7 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/tamilan-2-27b-GGUF/resolve/main/tamilan-2-27b.Q5_K_S.gguf) | Q5_K_S | 19.0 | | | [GGUF](https://huggingface.co/mradermacher/tamilan-2-27b-GGUF/resolve/main/tamilan-2-27b.Q5_K_M.gguf) | Q5_K_M | 19.5 | | | [GGUF](https://huggingface.co/mradermacher/tamilan-2-27b-GGUF/resolve/main/tamilan-2-27b.Q6_K.gguf) | Q6_K | 22.4 | very good quality | | [GGUF](https://huggingface.co/mradermacher/tamilan-2-27b-GGUF/resolve/main/tamilan-2-27b.Q8_0.gguf) | Q8_0 | 29.0 | fast, best quality | Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):  And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9 ## FAQ / Model Request See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized. ## Thanks I thank my company, [nethype GmbH](https://www.nethype.de/), for letting me use its servers and providing upgrades to my workstation to enable this work in my free time. <!-- end -->