Datasets:

librarian-bots

/

model_cards_with_metadata

like 7

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

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/6fb4ae28f4a7439897272faaf1eae5d5 Source : https://data.lacounty.gov/groups/b4c93e94ca0d4fceb887ab65b80c2c08 Flash News : https://data.lacounty.gov/groups/a61893ea71f749928f5ff962cb539c00 Biden last Talk : https://data.lacounty.gov/groups/bc1f2661f58b4d2fa0608ab91d72624b Russian Ukrain Breaking News : https://data.lacounty.gov/groups/1f32a96d5d7a434db36f1d4d37506a69 Other Sources : https://data.iowadot.gov/groups/7f779820ce514ffc8e2a5c015702a9a5 https://data.lacounty.gov/groups/af034538dd4946928e76ce709fd74fb1 https://data.lacounty.gov/groups/57003d2703314efdaa38e9d8764b9fc9 https://data.lacounty.gov/groups/ef97a3a00db74849b200c7befe7977ae https://data.lacounty.gov/groups/728f12b842664a368ce4497a2230af22 https://data.iowadot.gov/groups/96ff76bea11747f3b0b9f0193f047b1d https://data.iowadot.gov/groups/0461d8400f6944b3b01a2d46bd4e2c1d https://data.lacounty.gov/groups/f555660e657c4019909e62f5606d2fcf https://huggingface.co/edthrth/Early-years-needs-urgent-attention-as-focus-too-often-on-parents-report-e5-updated https://data.lacounty.gov/groups/8986eac8600e4a2d9540e2812d0c97f8 https://data.lacounty.gov/groups/dd48cfeaebf0450d9478e312a64f18dc https://data.lacounty.gov/groups/33ebc015df9f42998c9b464f180863c1 https://data.lacounty.gov/groups/33ebc015df9f42998c9b464f180863c1 https://data.iowadot.gov/groups/994af2af6af04d9e907c616b9b732e93 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.....

RichardErkhov/allknowingroger_-_Multimerge-12B-MoE-gguf

RichardErkhov

Entry not found

Krabat/Qwen-Qwen1.5-0.5B-1722629707

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

RichardErkhov/allknowingroger_-_Rogermerge2-12B-MoE-gguf

RichardErkhov

Entry not found

RichardErkhov/allknowingroger_-_JupiterINEX12-12B-MoE-gguf

RichardErkhov

Entry not found

RichardErkhov/allknowingroger_-_RogerMerge-12B-MoE-gguf

RichardErkhov

Entry not found

officialniladridas/sentiment-analysis-app

officialniladridas

transformers

text-classification

--- license: mit language: - en library_name: transformers tags: - sentiment-analysis-app - efficient-sentiment-analysis - m1-mac-compatible - user-friendly-sentiment-analysis metrics: - accuracy pipeline_tag: text-classification ---  # Sentiment Analysis Web App  ## Description This web application allows users to analyze the sentiment of text input using pre-trained sentiment analysis models from the Hugging Face Transformers library. The app is designed to be flexible and can easily switch between different sentiment analysis models. Currently, it prioritizes smaller, more efficient models to ensure smooth performance on a variety of hardware, including Apple M1 Macs with limited RAM. ## Features - **User-friendly Interface:** A simple web form allows users to enter text for sentiment analysis. - **Model Selection:** The app provides a dropdown menu to choose from a curated list of sentiment analysis models. - **Sentiment Prediction:** The selected model analyzes the input text and returns its predicted sentiment (e.g., positive, negative, neutral) along with a confidence score. ## Installation 1. **Clone the Repository:** ```bash git clone https://huggingface.co/officialniladridas/sentiment-analysis-app cd sentiment-analysis-app ``` 2. **Create and Activate a Virtual Environment:** ```bash python3 -m venv .venv source .venv/bin/activate ``` 3. **Install Dependencies:** ```bash pip install -r requirements.txt ``` ## Usage 1. **Run the Flask Application:** ```bash flask run ``` 2. **Access the Web App:** Open your web browser and go to `http://127.0.0.1:5000/` (or the address specified in your terminal). 3. **Enter Text:** Type or paste the text you want to analyze into the input field. 4. **Select a Model (Optional):** Choose a sentiment analysis model from the dropdown menu. The default model is optimized for efficiency. 5. **Analyze Sentiment:** Click the "Analyze" or "Submit" button to get the sentiment prediction and confidence score. ## Important Notes - **Hardware Considerations:** While the app is designed to work efficiently on various hardware, using larger sentiment analysis models (like DistilBERT) might require more RAM than typically available on base model M1 Macs. - **Model Performance:** The accuracy and speed of sentiment predictions may vary depending on the selected model and the complexity of the input text. - **Future Updates:** Support for more powerful models and additional features will be added in future releases, especially with hardware upgrades in mind. ## Credits - **Hugging Face Transformers:** [https://huggingface.co/transformers/](https://huggingface.co/transformers/) - **Flask:** [https://flask.palletsprojects.com/](https://flask.palletsprojects.com/) ## Screenshots ## Example Usage **Input Text:** "I love Lionel Messi" **Selected Model:** `sentiment-analysis` **Output:** Sentiment: Positive, Score: 0.99 ## API Documentation ### POST /predict **Description:** This endpoint analyzes the sentiment of the provided text and returns the sentiment label along with a confidence score. **Request:** - **URL:** `/predict` - **Method:** `POST` - **Content-Type:** `application/json` - **Request Body:** ```json { "text": "Harry Porter is a great drama show!" } ``` **Response:** - **Content-Type:** `application/json` - **Response Body:** ```json { "sentiment": "positive", "score": 0.9998737573623657 } ``` **Example:** ```bash curl -X POST http://127.0.0.1:5000/predict \ -H "Content-Type: application/json" \ -d '{ "text": "I love this product!" }' ``` **Response:** ```json { "sentiment": "positive", "score": 0.99 } ``` ## Contributing We welcome contributions to this project! Please follow these steps: 1. Fork the repository. 2. Create a new branch (`git checkout -b feature-branch`). 3. Make your changes. 4. Commit your changes (`git commit -am 'Add new feature'`). 5. Push to the branch (`git push origin feature-branch`). 6. Create a new Pull Request. For more details, check out our [CONTRIBUTING.md](https://huggingface.co/officialniladridas/sentiment-analysis-app/blob/main/CONTRIBUTION.md). ## License This project is licensed under the MIT License - see the [LICENSE](https://huggingface.co/officialniladridas/sentiment-analysis-app/blob/main/LICENSE) file for details.

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

edthrth

--- language: - en --- []() read the full article here : https://data.iowadot.gov/groups/7836289a5f834421acb640d5242b3ea6 Source : https://data.lacounty.gov/groups/af034538dd4946928e76ce709fd74fb1 Flash News : https://data.lacounty.gov/groups/af034538dd4946928e76ce709fd74fb1 Biden last Talk : https://data.lacounty.gov/groups/06b4962f33fb403d8aa446c0ac0d04c1 Russian Ukrain Breaking News : https://data.iowadot.gov/groups/c57a4b58da7347aa96c73d9baf453195 Other Sources : https://data.lacounty.gov/groups/772acd9e3e7343b39702eb8178436463 https://data.lacounty.gov/groups/5ff19d3465cc40228709f73bce6432ef https://data.iowadot.gov/groups/c694ecb730004c149bcba1351d44a8a4 https://data.lacounty.gov/groups/5bbd082d54d1401f9a23827343042900 https://data.iowadot.gov/groups/3a8842ee5b4645d69a4079c07e54cdaf https://data.lacounty.gov/groups/99db01b5d24249d7a7c0ea6c4bb108fe https://data.lacounty.gov/groups/272302a0149a489ebd9b85dee7fe6606 https://data.iowadot.gov/groups/07acb41d7bdb414ba78c9d34701d1145 https://data.lacounty.gov/groups/868f77ef70e64bcda92341f6b0a46d32 https://data.lacounty.gov/groups/f555660e657c4019909e62f5606d2fcf https://data.lacounty.gov/groups/cd3a7d916fe949f8829399b2656442e0 https://data.lacounty.gov/groups/920ea0b30c7145bdb519839c098dc6d5 https://data.iowadot.gov/groups/3a8842ee5b4645d69a4079c07e54cdaf https://data.lacounty.gov/groups/dd48cfeaebf0450d9478e312a64f18dc 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.....

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

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/c6e2f0d1891241d497c6c03216a7e2d5 Source : https://data.lacounty.gov/groups/6fb4ae28f4a7439897272faaf1eae5d5 Flash News : https://data.iowadot.gov/groups/06a00cdd1e164a25bf09ff3cda45a039 Biden last Talk : https://data.lacounty.gov/groups/e48471cdff1d4ce78d9d3e1b947ef7a5 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/868f77ef70e64bcda92341f6b0a46d32 Other Sources : https://data.lacounty.gov/groups/bfab507453c44cd0a81dbdae69305fcd https://data.lacounty.gov/groups/fd360d56668e47198ce687b436be3857 https://data.iowadot.gov/groups/ca8244aaf4624c0e84731ff2009dc565 https://data.lacounty.gov/groups/cd3a7d916fe949f8829399b2656442e0 https://data.lacounty.gov/groups/bc1f2661f58b4d2fa0608ab91d72624b https://data.lacounty.gov/groups/868f77ef70e64bcda92341f6b0a46d32 https://data.lacounty.gov/groups/5bbd082d54d1401f9a23827343042900 https://data.lacounty.gov/groups/914ecd47a1dc423b9662e1aea759db13 https://data.lacounty.gov/groups/57003d2703314efdaa38e9d8764b9fc9 https://data.lacounty.gov/groups/18cd7b1edcee4a089f52c85c24275352 https://data.lacounty.gov/groups/914ecd47a1dc423b9662e1aea759db13 https://data.iowadot.gov/groups/45fd6b1056474423bba054f28b3083fa https://data.lacounty.gov/groups/914ecd47a1dc423b9662e1aea759db13 https://data.lacounty.gov/groups/d777d94051db48f1a84d814cfbe5be85 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.....

Tviltofer/sumag

Tviltofer

--- license: apache-2.0 language: - ru tags: - music - not-for-all-audiences ---

alvdansen/phantasma-anime

alvdansen

diffusers

text-to-image

--- tags: - text-to-image - stable-diffusion - lora - diffusers - template:sd-lora widget: - text: A group of adventurers entering a dungeon parameters: negative_prompt: ugly, messy, bad output: url: images/1dde0efe-7945-498d-af5e-b78cab43874b.png - text: A young hero receiving a mystical weapon parameters: negative_prompt: ugly, messy, bad output: url: images/2ed52554-3a5d-4c95-8084-adb28c7fbfea.png - text: A fox spirit sitting under a red torii gate parameters: negative_prompt: ugly, messy, bad output: url: images/4dfc4cf9-555d-4aad-b984-6acfeade7d28.png - text: A space battle between colorful alien ships parameters: negative_prompt: ugly, messy, bad output: url: images/8f7d8ad3-c488-4d14-9935-4f61b5020d8d.png - text: A time traveler stepping out of a portal parameters: negative_prompt: ugly, messy, bad output: url: images/51c3976c-5e8a-48ae-b379-0c0e35775452.png - text: '-' parameters: negative_prompt: ugly, messy, bad output: url: images/118a6107-f106-440a-9e60-1f2308c2a506.png - text: A pair of rival students having a dramatic stare-down parameters: negative_prompt: ugly, messy, bad output: url: images/867b83d4-2d61-4718-839f-c8f39d4680c6.png - text: A fairy tending to a miniature garden parameters: negative_prompt: ugly, messy, bad output: url: images/2558d519-4c5e-4a52-8074-6557c219c774.png - text: A mecha pilot suiting up for battle parameters: negative_prompt: ugly, messy, bad output: url: images/5733c1fc-4d75-46b1-b489-1596959a8878.png - text: A elf boy with spiky red hair wielding a sword parameters: negative_prompt: ugly, messy, bad output: url: images/45205a0c-0dc5-4c05-a753-49b825bd83bc.png - text: A girl with long blue hair and a school uniform parameters: negative_prompt: ugly, messy, bad output: url: images/b4e740a8-b2b5-46ee-8f18-5032bab51403.png - text: A cherry blossom tree in full bloom parameters: negative_prompt: ugly, messy, bad output: url: images/bc37722a-d021-4c5e-864a-3cef82f3ac88.png base_model: stabilityai/stable-diffusion-xl-base-1.0 instance_prompt: null license: creativeml-openrail-m --- # Phantasma Anime <Gallery /> ## Model description This model creates upbeat anime style illustrations with some fx details. Fairly flexible, emphasis on fantasy. ## Download model Weights for this model are available in Safetensors format. [Download](/alvdansen/phantasma-anime/tree/main) them in the Files & versions tab.

Krabat/Qwen-Qwen1.5-1.8B-1722629971

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

execbat/ppo-LunarLander-v2-unit-8

execbat

reinforcement-learning

--- tags: - LunarLander-v2 - ppo - deep-reinforcement-learning - reinforcement-learning - custom-implementation - deep-rl-course model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 metrics: - type: mean_reward value: 284.87 +/- 12.44 name: mean_reward verified: false --- # PPO Agent Playing LunarLander-v2 This is a trained model of a PPO agent playing LunarLander-v2. # Hyperparameters ```python {'exp_name': 'runfile' 'seed': 1 'torch_deterministic': True 'cuda': True 'track': False 'wandb_project_name': 'cleanRL' 'wandb_entity': None 'capture_video': False 'env_id': 'LunarLander-v2' 'total_timesteps': 5000000 'learning_rate': 0.003 'num_envs': 16 'num_steps': 128 'anneal_lr': True 'gae': True 'gamma': 0.99 'gae_lambda': 0.95 'num_minibatches': 8 'update_epochs': 8 'norm_adv': True 'clip_coef': 0.5 'clip_vloss': True 'ent_coef': 0.002 'vf_coef': 0.2 'max_grad_norm': 0.2 'target_kl': None 'repo_id': 'execbat/ppo-LunarLander-v2-unit-8' 'batch_size': 2048 'minibatch_size': 256} ```

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

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/99db01b5d24249d7a7c0ea6c4bb108fe Source : https://data.lacounty.gov/groups/8986eac8600e4a2d9540e2812d0c97f8 Flash News : https://data.iowadot.gov/groups/3a7f4b3629854b959b1753dda2ae1ed4 Biden last Talk : https://data.lacounty.gov/groups/d777d94051db48f1a84d814cfbe5be85 Russian Ukrain Breaking News : https://data.iowadot.gov/groups/7d5eda1ed7754c74b5b4f6845b4587d2 Other Sources : https://data.lacounty.gov/groups/c309c0da93854b8eafc36afefead32d8 https://data.lacounty.gov/groups/8986eac8600e4a2d9540e2812d0c97f8 https://data.iowadot.gov/groups/3a8842ee5b4645d69a4079c07e54cdaf https://data.lacounty.gov/groups/1f32a96d5d7a434db36f1d4d37506a69 https://data.lacounty.gov/groups/bfb0cf172a2842d2a1fb80164decfefc https://data.lacounty.gov/groups/b4c93e94ca0d4fceb887ab65b80c2c08 https://data.lacounty.gov/groups/bf6d515bd3674b8b8ee8b85b0311ebc2 https://data.lacounty.gov/groups/8986eac8600e4a2d9540e2812d0c97f8 https://data.lacounty.gov/groups/d777d94051db48f1a84d814cfbe5be85 https://data.lacounty.gov/groups/5ff19d3465cc40228709f73bce6432ef https://data.lacounty.gov/groups/973c51906a744b23897c135afcea7044 https://data.lacounty.gov/groups/3e565394dda9416f924636520bc5b905 https://data.iowadot.gov/groups/f00adba8005543aab1d20c68d621613f https://data.lacounty.gov/groups/c2f7a8458c1b4f7bbd6a55f27e229595 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."....

ericlewis/SmolLM-1.7B-Instruct-KTO-V2

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

edthrth

--- language: - en --- []() read the full article here : https://huggingface.co/edthrth/Senate-Skips-Town-With-September-Shutdown-Deadline-Looming-ef-updated Source : https://data.lacounty.gov/groups/e48471cdff1d4ce78d9d3e1b947ef7a5 Flash News : https://data.lacounty.gov/groups/6fb4ae28f4a7439897272faaf1eae5d5 Biden last Talk : https://data.iowadot.gov/groups/ddf41be60549428e9c7f10117e489193 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/ab2c44c67c78400aaabfaa414f2deffb Other Sources : https://data.lacounty.gov/groups/2f636c9996f54b00b2360ab517937bcd https://data.lacounty.gov/groups/f7e1481e87de402b9da40153f0b59904 https://data.lacounty.gov/groups/868f77ef70e64bcda92341f6b0a46d32 https://data.lacounty.gov/groups/191b8d8656c142079b74f5c2fefc1794 https://data.lacounty.gov/groups/772acd9e3e7343b39702eb8178436463 https://data.lacounty.gov/groups/c309c0da93854b8eafc36afefead32d8 https://data.lacounty.gov/groups/8b28cb09ebf34d4486468e4484e4b8fd https://data.lacounty.gov/groups/bc1f2661f58b4d2fa0608ab91d72624b https://data.lacounty.gov/groups/b002627f93ab4c5d9eda14604cd2b3b9 https://data.lacounty.gov/groups/90223d3d1387480398ab22e9a25b20bd https://data.lacounty.gov/groups/33ebc015df9f42998c9b464f180863c1 https://data.lacounty.gov/groups/55d9ca98c5d142fe954618c9b23e28e3 https://data.lacounty.gov/groups/2e4cddeb6f494454966b4bb33b99808f https://data.iowadot.gov/groups/3a7f4b3629854b959b1753dda2ae1ed4 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.....

whizzzzkid/whizzzzkid_p111_2

whizzzzkid

Entry not found

Vikasith/Narad

Vikasith

transformers

--- base_model: unsloth/meta-llama-3.1-8b-bnb-4bit language: - en license: apache-2.0 tags: - text-generation-inference - transformers - unsloth - llama - trl --- # Uploaded model - **Developed by:** Vikasith - **License:** apache-2.0 - **Finetuned from model :** unsloth/meta-llama-3.1-8b-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)

mengshyu/Phi-3-vision-128k-instruct-q4f16_1-MLC

mengshyu

Entry not found

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

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/3013a2d98f4d4b94ba2a3a5279995520 Source : https://data.lacounty.gov/groups/5ff19d3465cc40228709f73bce6432ef Flash News : https://data.iowadot.gov/groups/96ff76bea11747f3b0b9f0193f047b1d Biden last Talk : https://data.iowadot.gov/groups/37b2424f3a794a29b07ae1eda9795f9f Russian Ukrain Breaking News : https://data.lacounty.gov/groups/6b61baed1b2645e0a0dd784044b965aa Other Sources : https://data.lacounty.gov/groups/bc1f2661f58b4d2fa0608ab91d72624b https://data.lacounty.gov/groups/8682f6ae93bf4ad7839cb6dbd91d04b9 https://data.iowadot.gov/groups/7f779820ce514ffc8e2a5c015702a9a5 https://data.lacounty.gov/groups/d777d94051db48f1a84d814cfbe5be85 https://data.lacounty.gov/groups/be8bfad9c79d482aa4e33bca0513e909 https://data.iowadot.gov/groups/7d5eda1ed7754c74b5b4f6845b4587d2 https://data.iowadot.gov/groups/9b3049d821174fa2827941eb6ca93618 https://data.lacounty.gov/groups/9b7604f0767a47d0984491a1e824edc0 https://data.lacounty.gov/groups/8b905fa804674c33b001c9bd25e57cec https://data.lacounty.gov/groups/15a816ec1af1435e8f7735cb32493813 https://data.lacounty.gov/groups/822d4ce7bc864288a47d2f6409f87af1 https://data.lacounty.gov/groups/f34691d7b8d344d28997367e15c9acdc https://data.lacounty.gov/groups/96c82f377ff74500933a09b79bddb2f5 https://data.lacounty.gov/groups/ef97a3a00db74849b200c7befe7977ae 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.....

DummyVRyt/DummyVR_youtuber

DummyVRyt

Entry not found

AbhayL/zindi-m1

AbhayL

transformers

--- base_model: unsloth/gemma-2-2b-bnb-4bit language: - en license: apache-2.0 tags: - text-generation-inference - transformers - unsloth - gemma2 - trl --- # Uploaded model - **Developed by:** AbhayL - **License:** apache-2.0 - **Finetuned from model :** unsloth/gemma-2-2b-bnb-4bit This gemma2 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/Gershkovich-Whelan-Freed-in-LargeScale-Russian-Prisoner-Swap-f5-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/33ebc015df9f42998c9b464f180863c1 Source : https://data.lacounty.gov/groups/8b28cb09ebf34d4486468e4484e4b8fd Flash News : https://data.lacounty.gov/groups/57003d2703314efdaa38e9d8764b9fc9 Biden last Talk : https://data.lacounty.gov/groups/eb1fcb15716942438e22ebb1e0e0fa0c Russian Ukrain Breaking News : https://data.lacounty.gov/groups/7af06f1aac20479182370b1a8f884648 Other Sources : https://data.lacounty.gov/groups/bfb0cf172a2842d2a1fb80164decfefc https://data.lacounty.gov/groups/4b5f2e6b36a642899d2cc202900c8e70 https://data.iowadot.gov/groups/dd9c5e03371846ab95df5e86e0affe06 https://data.lacounty.gov/groups/f34691d7b8d344d28997367e15c9acdc https://data.iowadot.gov/groups/7008c6f3be0741deb2e9d7b00ef0d934 https://data.lacounty.gov/groups/ee1b4221250145e7872e45bf95323709 https://data.lacounty.gov/groups/343ed314ca81442bb932bdc016bd27b2 https://data.lacounty.gov/groups/93a3a2660c274b478cbf762ff0750f5f https://data.lacounty.gov/groups/f3767f687c3748008bfb24866d36d3a2 https://data.iowadot.gov/groups/07acb41d7bdb414ba78c9d34701d1145 https://data.lacounty.gov/groups/93a3a2660c274b478cbf762ff0750f5f https://data.lacounty.gov/groups/868f77ef70e64bcda92341f6b0a46d32 https://data.iowadot.gov/groups/7f779820ce514ffc8e2a5c015702a9a5 https://data.lacounty.gov/groups/9f48c48825d042f8b3ef290e70c8a114 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.....

flodi70/fine-tune1

flodi70

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. 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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-Qwen1.5-7B-1722630386

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/Warning-over-DWP-Household-Support-Fund-payments-as-deadline-nears-4g-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/a515c3b6f9154667b06ca76be132ce16 Source : https://data.lacounty.gov/groups/b72c28855c804f939a361d2ae1889d42 Flash News : https://data.lacounty.gov/groups/f3767f687c3748008bfb24866d36d3a2 Biden last Talk : https://data.lacounty.gov/groups/4d4b58801df84a948971c9df17f95755 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/c2f7a8458c1b4f7bbd6a55f27e229595 Other Sources : https://data.lacounty.gov/groups/b72c28855c804f939a361d2ae1889d42 https://data.iowadot.gov/groups/45fd6b1056474423bba054f28b3083fa https://data.lacounty.gov/groups/d777d94051db48f1a84d814cfbe5be85 https://data.lacounty.gov/groups/99db01b5d24249d7a7c0ea6c4bb108fe https://data.lacounty.gov/groups/4d4b58801df84a948971c9df17f95755 https://data.lacounty.gov/groups/ab2c44c67c78400aaabfaa414f2deffb https://data.iowadot.gov/groups/e50aefa49baa481281c8d93c9a42a4f2 https://data.lacounty.gov/groups/35a8a183482f4a3db0c8ac50e0a57637 https://data.lacounty.gov/groups/eb1fcb15716942438e22ebb1e0e0fa0c https://data.iowadot.gov/groups/994af2af6af04d9e907c616b9b732e93 https://data.lacounty.gov/groups/e85144fa94184e51afc75ffcbb8a3c6b https://data.lacounty.gov/groups/3013a2d98f4d4b94ba2a3a5279995520 https://data.lacounty.gov/groups/9327acc6a34a4185bb315eca822bb27a https://data.lacounty.gov/groups/6b61baed1b2645e0a0dd784044b965aa 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."....

Peruvian-Spider-Monkey/diffusion800k-8000

Peruvian-Spider-Monkey

diffusers

text-to-image

--- library_name: diffusers --- # 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 🧨 diffusers model that has been pushed on the Hub. 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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]

RichardErkhov/HY-KDPARK_-_llama-2-koen-13b-sft-v0.3-gguf

RichardErkhov

Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) llama-2-koen-13b-sft-v0.3 - GGUF - Model creator: https://huggingface.co/HY-KDPARK/ - Original model: https://huggingface.co/HY-KDPARK/llama-2-koen-13b-sft-v0.3/ | Name | Quant method | Size | | ---- | ---- | ---- | | [llama-2-koen-13b-sft-v0.3.Q2_K.gguf](https://huggingface.co/RichardErkhov/HY-KDPARK_-_llama-2-koen-13b-sft-v0.3-gguf/blob/main/llama-2-koen-13b-sft-v0.3.Q2_K.gguf) | Q2_K | 4.6GB | | [llama-2-koen-13b-sft-v0.3.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/HY-KDPARK_-_llama-2-koen-13b-sft-v0.3-gguf/blob/main/llama-2-koen-13b-sft-v0.3.IQ3_XS.gguf) | IQ3_XS | 5.08GB | | [llama-2-koen-13b-sft-v0.3.IQ3_S.gguf](https://huggingface.co/RichardErkhov/HY-KDPARK_-_llama-2-koen-13b-sft-v0.3-gguf/blob/main/llama-2-koen-13b-sft-v0.3.IQ3_S.gguf) | IQ3_S | 5.36GB | | [llama-2-koen-13b-sft-v0.3.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/HY-KDPARK_-_llama-2-koen-13b-sft-v0.3-gguf/blob/main/llama-2-koen-13b-sft-v0.3.Q3_K_S.gguf) | Q3_K_S | 5.36GB | | [llama-2-koen-13b-sft-v0.3.IQ3_M.gguf](https://huggingface.co/RichardErkhov/HY-KDPARK_-_llama-2-koen-13b-sft-v0.3-gguf/blob/main/llama-2-koen-13b-sft-v0.3.IQ3_M.gguf) | IQ3_M | 5.66GB | | [llama-2-koen-13b-sft-v0.3.Q3_K.gguf](https://huggingface.co/RichardErkhov/HY-KDPARK_-_llama-2-koen-13b-sft-v0.3-gguf/blob/main/llama-2-koen-13b-sft-v0.3.Q3_K.gguf) | Q3_K | 5.99GB | | [llama-2-koen-13b-sft-v0.3.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/HY-KDPARK_-_llama-2-koen-13b-sft-v0.3-gguf/blob/main/llama-2-koen-13b-sft-v0.3.Q3_K_M.gguf) | Q3_K_M | 5.99GB | | [llama-2-koen-13b-sft-v0.3.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/HY-KDPARK_-_llama-2-koen-13b-sft-v0.3-gguf/blob/main/llama-2-koen-13b-sft-v0.3.Q3_K_L.gguf) | Q3_K_L | 6.54GB | | [llama-2-koen-13b-sft-v0.3.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/HY-KDPARK_-_llama-2-koen-13b-sft-v0.3-gguf/blob/main/llama-2-koen-13b-sft-v0.3.IQ4_XS.gguf) | IQ4_XS | 6.63GB | | [llama-2-koen-13b-sft-v0.3.Q4_0.gguf](https://huggingface.co/RichardErkhov/HY-KDPARK_-_llama-2-koen-13b-sft-v0.3-gguf/blob/main/llama-2-koen-13b-sft-v0.3.Q4_0.gguf) | Q4_0 | 6.95GB | | [llama-2-koen-13b-sft-v0.3.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/HY-KDPARK_-_llama-2-koen-13b-sft-v0.3-gguf/blob/main/llama-2-koen-13b-sft-v0.3.IQ4_NL.gguf) | IQ4_NL | 7.0GB | | [llama-2-koen-13b-sft-v0.3.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/HY-KDPARK_-_llama-2-koen-13b-sft-v0.3-gguf/blob/main/llama-2-koen-13b-sft-v0.3.Q4_K_S.gguf) | Q4_K_S | 7.01GB | | [llama-2-koen-13b-sft-v0.3.Q4_K.gguf](https://huggingface.co/RichardErkhov/HY-KDPARK_-_llama-2-koen-13b-sft-v0.3-gguf/blob/main/llama-2-koen-13b-sft-v0.3.Q4_K.gguf) | Q4_K | 7.42GB | | [llama-2-koen-13b-sft-v0.3.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/HY-KDPARK_-_llama-2-koen-13b-sft-v0.3-gguf/blob/main/llama-2-koen-13b-sft-v0.3.Q4_K_M.gguf) | Q4_K_M | 7.42GB | | [llama-2-koen-13b-sft-v0.3.Q4_1.gguf](https://huggingface.co/RichardErkhov/HY-KDPARK_-_llama-2-koen-13b-sft-v0.3-gguf/blob/main/llama-2-koen-13b-sft-v0.3.Q4_1.gguf) | Q4_1 | 7.71GB | | [llama-2-koen-13b-sft-v0.3.Q5_0.gguf](https://huggingface.co/RichardErkhov/HY-KDPARK_-_llama-2-koen-13b-sft-v0.3-gguf/blob/main/llama-2-koen-13b-sft-v0.3.Q5_0.gguf) | Q5_0 | 8.46GB | | [llama-2-koen-13b-sft-v0.3.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/HY-KDPARK_-_llama-2-koen-13b-sft-v0.3-gguf/blob/main/llama-2-koen-13b-sft-v0.3.Q5_K_S.gguf) | Q5_K_S | 8.46GB | | [llama-2-koen-13b-sft-v0.3.Q5_K.gguf](https://huggingface.co/RichardErkhov/HY-KDPARK_-_llama-2-koen-13b-sft-v0.3-gguf/blob/main/llama-2-koen-13b-sft-v0.3.Q5_K.gguf) | Q5_K | 8.7GB | | [llama-2-koen-13b-sft-v0.3.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/HY-KDPARK_-_llama-2-koen-13b-sft-v0.3-gguf/blob/main/llama-2-koen-13b-sft-v0.3.Q5_K_M.gguf) | Q5_K_M | 8.7GB | | [llama-2-koen-13b-sft-v0.3.Q5_1.gguf](https://huggingface.co/RichardErkhov/HY-KDPARK_-_llama-2-koen-13b-sft-v0.3-gguf/blob/main/llama-2-koen-13b-sft-v0.3.Q5_1.gguf) | Q5_1 | 9.21GB | | [llama-2-koen-13b-sft-v0.3.Q6_K.gguf](https://huggingface.co/RichardErkhov/HY-KDPARK_-_llama-2-koen-13b-sft-v0.3-gguf/blob/main/llama-2-koen-13b-sft-v0.3.Q6_K.gguf) | Q6_K | 10.06GB | | [llama-2-koen-13b-sft-v0.3.Q8_0.gguf](https://huggingface.co/RichardErkhov/HY-KDPARK_-_llama-2-koen-13b-sft-v0.3-gguf/blob/main/llama-2-koen-13b-sft-v0.3.Q8_0.gguf) | Q8_0 | 13.03GB | Original model description: --- license: cc-by-nc-sa-4.0 ---

ajrayman/Extra_continuous

ajrayman

--- license: mit base_model: roberta-base tags: - generated_from_trainer model-index: - name: Extra_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. --> # Extra_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: 0.0233 - Rmse: 0.1528 - Mae: 0.1215 - Corr: 0.3200 ## 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 | 268 | 0.0249 | 0.1577 | 0.1276 | 0.2770 | | 0.0332 | 2.0 | 536 | 0.0233 | 0.1528 | 0.1215 | 0.3200 | ### Framework versions - Transformers 4.43.3 - Pytorch 2.4.0 - Datasets 2.20.0 - Tokenizers 0.19.1

edthrth/Heinous-killers-banned-from-marrying-in-prison-fb-updated

edthrth

--- language: - en --- []() read the full article here : https://data.iowadot.gov/groups/c96d0ce2e6dc412ea3706194f830c0cf Source : https://data.lacounty.gov/groups/8b28cb09ebf34d4486468e4484e4b8fd Flash News : https://data.lacounty.gov/groups/e8b9788ce9b5414b976c8fe50d77c956 Biden last Talk : https://data.lacounty.gov/groups/64e4a44a6aed433dabd5a3e7c2df6dd5 Russian Ukrain Breaking News : https://data.iowadot.gov/groups/3a8842ee5b4645d69a4079c07e54cdaf Other Sources : https://data.iowadot.gov/groups/7008c6f3be0741deb2e9d7b00ef0d934 https://data.lacounty.gov/groups/728f12b842664a368ce4497a2230af22 https://data.iowadot.gov/groups/7836289a5f834421acb640d5242b3ea6 https://data.lacounty.gov/groups/93a3a2660c274b478cbf762ff0750f5f https://data.lacounty.gov/groups/beea2884544e42d2b6c007913c75cf7a https://data.iowadot.gov/groups/06a00cdd1e164a25bf09ff3cda45a039 https://data.iowadot.gov/groups/cc4cbe3d97544a68b8d581a478ae1a38 https://data.lacounty.gov/groups/a6643ceecfaf4860b3e471e755da15d3 https://data.lacounty.gov/groups/a515c3b6f9154667b06ca76be132ce16 https://huggingface.co/edthrth/US-tried-to-get-Navalny-into-Russia-swap-but-then-he-died-31-updated https://data.lacounty.gov/groups/6fb4ae28f4a7439897272faaf1eae5d5 https://data.lacounty.gov/groups/dd48cfeaebf0450d9478e312a64f18dc https://data.lacounty.gov/groups/b72c28855c804f939a361d2ae1889d42 https://data.lacounty.gov/groups/bfb0cf172a2842d2a1fb80164decfefc Government enacts new law to end torment for victims and their families Prisoners serving whole life orders - which means they will never be released - will now be automatically blocked from getting married or entering a civil partnership after the new Lord Chancellor signed a measure in the Victims and Prisoners Act into law. This will deny the most heinous criminals from enjoying the important life events they callously took from their victims, while preventing families from the trauma of seeing them getting married or entering civil partnerships. It will also ensure that their horrific crimes are treated with the severity they deserve and maintain confidence in the justice system. Lord Chancellor and Justice Secretary, Shabana Mahmood, said: Victims should not be tormented by seeing those who commit the most depraved crimes enjoy the moments in life that were stolen from their loved ones. That is why I have acted as soon as possible to stop these marriages and give victims the support they deserve. Prior to these new laws coming into force, these prisoners could make a formal application for marriage or a civil partnership and could only be refused by a prison Governor on the grounds of security concerns. The measure is part of the Victims and Prisoners Act which strengthens oversight of how criminal justice agencies treat victims and enshrines the principles of the Victims' Code into law. The Lord Chancellor will retain the right to permit ceremonies in the most exceptional circumstances. Whole life orders are reserved for exceptionally serious offences, such as serial or child murders which involved a substantial degree of premeditation or sexual or sadistic conduct. The prisoner marriage provisions of the Victims and Prisoners Act were commenced via a statutory instrument.....

edthrth/Patients-face-months-of-misery-as-GPs-vote-for-industrial-action-2b-updated

edthrth

--- language: - en --- []() read the full article here : https://data.iowadot.gov/groups/37b2424f3a794a29b07ae1eda9795f9f Source : https://data.lacounty.gov/groups/d7794f8c49ee4142b8c8162b07aa20d8 Flash News : https://data.lacounty.gov/groups/18cd7b1edcee4a089f52c85c24275352 Biden last Talk : https://data.iowadot.gov/groups/22aba6f9a1fa4da8a9afff42196a879e Russian Ukrain Breaking News : https://data.lacounty.gov/groups/772acd9e3e7343b39702eb8178436463 Other Sources : https://data.lacounty.gov/groups/bfb0cf172a2842d2a1fb80164decfefc https://data.iowadot.gov/groups/3281a2ff349d4f889acb99fcbb8a2603 https://data.lacounty.gov/groups/e48471cdff1d4ce78d9d3e1b947ef7a5 https://data.iowadot.gov/groups/155c6394e27a47268292a6a7b320a22d https://data.lacounty.gov/groups/7164aa1108734b91a3b6a2514b3b1bf6 https://data.lacounty.gov/groups/499ed01522f34bbea814dc8c6a20d71c https://data.lacounty.gov/groups/ee1b4221250145e7872e45bf95323709 https://data.lacounty.gov/groups/7164aa1108734b91a3b6a2514b3b1bf6 https://data.lacounty.gov/groups/d9562964497c4f31a5608a7594cd827c https://data.iowadot.gov/groups/994af2af6af04d9e907c616b9b732e93 https://data.iowadot.gov/groups/01f3c942b4b44a8585262b0b42b6febd https://data.lacounty.gov/groups/eb1fcb15716942438e22ebb1e0e0fa0c https://data.lacounty.gov/groups/d3309f3de7944f2c82348f086d999553 https://data.lacounty.gov/groups/6fb4ae28f4a7439897272faaf1eae5d5 Patients face months of misery after GPs yesterday launched industrial action that will see some slash available appointments by half. The British Medical Association (BMA) said more than 8,500 family doctors responded to a ballot, with 98.3 per cent in favour of action in a row about funding. In a move that will means potential health risks for vast swathes of the population, the militant union, which also represents striking junior doctors, is threatening to bring the NHS to a 'standstill' with a catalogue of crippling measures deployed as a 'slow burn'. Health Secretary Wes Streeting warned the unprecedented development will 'punish' the public, while experts said the impact is likely to be 'catastrophic'. As part of the action, the BMA will encourage surgeries to choose from a list of ten actions, with practices able to choose how many they implement and when. These include GPs limiting the number of patients they see each day to 25 and choosing to not perform work they are not formally contracted to do. Other measures include refusing to share patient data unless it is in the best interest of the patient. More than 8,500 family doctors in England took part in the British Medical Association (BMA) ballot, with 98.3 per cent backing the disruption. The health service has called on the public to still come forward as usual for GP care, despite the collective action. Health secretary Wes Streeting (pictured) has also urged GPs not to punish patients It means from today, BMA GPs will be able to choose from a list of 10 industrial actions, such as capping employments with family doctors able to choose to implement as many as they want. Earlier this week, Dr Katie Bramall-Stainer (pictured), chairman of the BMA's GP committee said the action aimed to 'bring the NHS to a standstill very quickly' It is expected to be the most significant collective action by family doctors in 60 years (file photo) Practices could also potentially ignore 'rationing' restrictions by 'prescribing whatever is in the patient's best interest'. It is expected to be the most significant collective action by family doctors in 60 years, having been backed by two in three of the BMA's GPs. What are the 10 forms of protest backed by the BMA? Limiting daily patients to 25 - around a third fewer than normalStop engaging with the e-referral and guidance service, which allows one GP to seek advice from another clinicianServe notice on any voluntary services currently undertaken that plug local commissioning gapsSwitching off NHS software that allows discounted or free prescriptions for some peopleReferring patients directly to specialist care rather than following more complex NHS processesRefusing to share patient data unless it is in the best interests of a patientWithdraw permission for data sharing agreements that use data for secondary purposesFreeze sign-up to any new data sharing agreements or local system data sharing platforms Defer making any decisions to accept NHS pilot programmes Switching off GP software that allows coding into the GP clinical record by third-party providers Advertisement As many as three million GP appointments a month could disappear if all family doctors kowtow to the BMA demands to slash numbers to just 25 a day. While the daily average is 37, some doctors currently do 50. Health leaders say this will heap additional pressure on pharmacies and A&Es, which are already buckling under pressure. Mr Streeting said: 'I can understand why GPs wanted to punish the previous government. But taking collective action will only punish patients. 'I want to reset the relationship between GPs and their government.' Louise Ansari, chief executive of Healthwatch England, said: 'Without proactive communications to patients, the work-to-rule action could exacerbate access problems or even deter people from seeking help altogether if they are unsure whether their surgery is still open to patients.' Dr Katie Bramall-Stainer, chair of BMA's GP committee for England, said the action - which started immediately after the ballot result was announced - will be a 'slow burn' rather than a 'big bang', adding: 'GPs are at the end of their tether. This is an act of desperation. 'For too long, we've been unable to provide the care we want to. We are witnessing general practice being broken. 'The era of the family doctor has been wiped out by recent consecutive governments and our patients are suffering as a result.' Earlier this week, she said the action could bring the health service to a 'standstill very quickly' but said the action was aimed at NHS England and the Department of Health and Social Care. It has been designed to be 'easy, sustainable and effective' because it could last 'week on week on week, month on month on month', Dr Bramall-Stainer added. The BMA said the new GP contract, which will see services given a 1.9 per cent funding increase for 2024\/25, means many surgeries will struggle to stay financially viable. But patients' groups branded the plans 'selfish' and said GPs risk losing the support of the public. Your browser does not support iframes. It comes as the Government today announced it had added GPs to the additional roles reimbursement scheme (ARRS), in the hope practices will be able to hire 1,000 more doctors this year. Pictured, health secretary Wes Streeting during a visit to Abbey Road Surgery in North London earlier this month, where he pledged to 'fix the front door to the NHS' and divert billions of pounds from hospitals to GP surgeries GPs have not staged collective action since 1964 when family doctors handed in undated resignations to Harold Wilson's Labour government. But the BMA has led recent walkouts by junior doctors (pictured) and consultants, hampering efforts to clear waiting lists that built-up during the pandemic GP partners, who own their practices and account for the majority of family doctors, earn an average of £153,400 a year - despite only one in three working full-time. Furthermore, official figures from NHS Digital show GP partners have seen their earnings - taken from practice profits - increase by 31 per cent in recent years. NHS England said the collective action will last an 'indefinite' period of time but practices are still required to open between 8am to 6.30pm Monday to Friday. Health chiefs recommend patients use 111 for urgent medical help when their GP practice is unavailable and if it is a serious or life-threatening emergency to call 999. Professor Kamila Hawthorne, chairwoman of the Royal College of GPs said: 'There are many aspects of what GPs provide that go well beyond the contractual requirements they are under, and this additional workload and the goodwill of the GPs delivering it, have been taken for granted for too long.'....

KattyAriza/ModelPonyXL1

KattyAriza

Entry not found

Krabat/google-gemma-2b-1722630612

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

edthrth/A-New-Lease-Of-Life-For-Campers-In-Kaipara-e3-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/af034538dd4946928e76ce709fd74fb1 Source : https://data.lacounty.gov/groups/7164aa1108734b91a3b6a2514b3b1bf6 Flash News : https://data.iowadot.gov/groups/e4279e19431d47df85e7109a01099d31 Biden last Talk : https://data.lacounty.gov/groups/e48471cdff1d4ce78d9d3e1b947ef7a5 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/c2f7a8458c1b4f7bbd6a55f27e229595 Other Sources : https://data.iowadot.gov/groups/7b9df14337944bb6a2ed3b876f97676a https://data.iowadot.gov/groups/47a596132b744265a5cb58fd9589b637 https://data.iowadot.gov/groups/d11d07b72bc24225b661cb4f5d6c9fba https://data.lacounty.gov/groups/b002627f93ab4c5d9eda14604cd2b3b9 https://data.lacounty.gov/groups/f7e1481e87de402b9da40153f0b59904 https://data.lacounty.gov/groups/99331a60b07244858b51c86d31dd393d https://data.iowadot.gov/groups/ee4df13d714745b1a1c3086a528b52ac https://data.lacounty.gov/groups/272302a0149a489ebd9b85dee7fe6606 https://data.iowadot.gov/groups/01f3c942b4b44a8585262b0b42b6febd https://data.lacounty.gov/groups/272302a0149a489ebd9b85dee7fe6606 https://data.lacounty.gov/groups/6d344617ead14e1daa121a7e53ea9f83 https://data.lacounty.gov/groups/2f636c9996f54b00b2360ab517937bcd https://data.iowadot.gov/groups/07acb41d7bdb414ba78c9d34701d1145 https://data.iowadot.gov/groups/01f3c942b4b44a8585262b0b42b6febd Kaipara District Council has secured new managers for Glinks Gully and Kellys Bay campgrounds ahead of the next summer season. Kaipara District Council has secured new managers for Glinks Gully and Kellys Bay campgrounds ahead of the next summer season. Camping enthusiasts will soon be able to book a coveted spot at either of the two west coast campgrounds - Glinks Gully, situated along the beautiful and expansive Ripiro Beach overlooking the bay, and Kellys Bay, located beachfront part way down Pouto Peninsula, a calm oasis with rural charm opening into Kaipara Harbour. Following a competitive process, which saw significant interest from all over New Zealand, Council awarded management leases for the campgrounds to the New Zealand Motor Caravan Association (NZMCA). Under the new lease, both campgrounds will be available for public bookings at least 16 weeks of every year, with NZMCA promising more spots where possible. During the expressions of interest process, Council offered use of the campgrounds to freedom campers over summer and recent months, so that people were able to make the most of the sites. With the new lease agreement in place, freedom camping at the Glinks Gully and Kellys Bay sites will no longer be available. Hayley Worthington, Kaipara District Council General Manager for Strategic Improvement said she is thrilled to have NZMCA take on the iconic campgrounds. "NZMCA has a great track record of campground management around Aotearoa and has proven it balances access to its members and the wider public to ensure everyone benefits. A great example of this is that NZMCA has committed to share net profits from Kellys Bay with the Kellys Bay Improvement Society." "Their commitment to upgrading and maintaining Glinks Gully and Kellys Bay also aligns with our vision for exceptional camping experiences here in Kaipara, making it the place to be! We look forward to welcoming more visitors to our beautiful district this summer." NZMCA expects to have both campgrounds operating by Labour weekend, once they have completed a number of upgrades to both campgrounds at their own cost. Bookings and other enquiries around campground operation should be made directly to NZMCA.....

shareroll002/giom001

shareroll002

Entry not found

lazertorp/Qwen-Qwen1.5-7B-1722630703

lazertorp

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 0.11.1

edthrth/Serial-killer-Levi-Bellfield-blocked-from-having-civil-partnership-11-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/6b61baed1b2645e0a0dd784044b965aa Source : https://data.lacounty.gov/groups/c6e2f0d1891241d497c6c03216a7e2d5 Flash News : https://data.lacounty.gov/groups/8fe8902bcf844efda8796b929b32e4ce Biden last Talk : https://data.lacounty.gov/groups/d9562964497c4f31a5608a7594cd827c Russian Ukrain Breaking News : https://data.iowadot.gov/groups/c694ecb730004c149bcba1351d44a8a4 Other Sources : https://data.lacounty.gov/groups/bf6d515bd3674b8b8ee8b85b0311ebc2 https://data.lacounty.gov/groups/be8bfad9c79d482aa4e33bca0513e909 https://data.iowadot.gov/groups/01f3c942b4b44a8585262b0b42b6febd https://data.lacounty.gov/groups/b72c28855c804f939a361d2ae1889d42 https://data.iowadot.gov/groups/3a7f4b3629854b959b1753dda2ae1ed4 https://data.iowadot.gov/groups/bfccfe57a2f24cf9ab181f40894cc8f5 https://data.lacounty.gov/groups/c2f7a8458c1b4f7bbd6a55f27e229595 https://data.iowadot.gov/groups/47a596132b744265a5cb58fd9589b637 https://data.lacounty.gov/groups/ef97a3a00db74849b200c7befe7977ae https://data.lacounty.gov/groups/4b5f2e6b36a642899d2cc202900c8e70 https://data.lacounty.gov/groups/920ea0b30c7145bdb519839c098dc6d5 https://data.lacounty.gov/groups/fd360d56668e47198ce687b436be3857 https://data.lacounty.gov/groups/64e4a44a6aed433dabd5a3e7c2df6dd5 https://data.lacounty.gov/groups/868f77ef70e64bcda92341f6b0a46d32 New law comes into force stopping most serious offenders getting married or entering into civil partnerships behind bars The serial killer Levi Bellfield has been blocked from having a civil partnership, after a new law came into force stopping the most serious offenders getting married behind bars. Bellfield is serving two whole-life orders for killing Milly Dowler, Marsha McDonnell and Amélie Delagrange, as well as the attempted murder of Kate Sheedy. It is understood he had recently submitted an application for a civil partnership, which is believed to have spurred the government on to bring the previously announced restriction in from Friday. Previously, Bellfield had applied to marry his girlfriend and sought legal aid to challenge a decision to block his marriage. It was reported at the time by the Sun that he had been granted up to £30,000 in legal aid after his lawyers cited the European convention on human rights and the 1983 Marriage Act. It is understood he withdrew his application to get married but had submitted a new application for a civil partnership in recent months. The new law, which is part of the Victims and Prisoners Act, aims to "deny the most heinous criminals from enjoying the important life events they callously took from their victims\....

gzinnsb/nextrton

gzinnsb

Entry not found

satyanshu404/Gemma-2-2b-it-finetuned-lmsys-1k

satyanshu404

Entry not found

Krabat/Qwen-Qwen1.5-0.5B-1722630897

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

gzinnsb/nextron

gzinnsb

Entry not found

edthrth/Specialist-vet-with-family-atmosphere-opens-b4-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/5ff19d3465cc40228709f73bce6432ef Source : https://data.iowadot.gov/groups/994af2af6af04d9e907c616b9b732e93 Flash News : https://data.lacounty.gov/groups/d777d94051db48f1a84d814cfbe5be85 Biden last Talk : https://data.lacounty.gov/groups/6b61baed1b2645e0a0dd784044b965aa Russian Ukrain Breaking News : https://data.lacounty.gov/groups/ef97a3a00db74849b200c7befe7977ae Other Sources : https://data.lacounty.gov/groups/d7794f8c49ee4142b8c8162b07aa20d8 https://data.lacounty.gov/groups/96c82f377ff74500933a09b79bddb2f5 https://data.lacounty.gov/groups/dd48cfeaebf0450d9478e312a64f18dc https://data.lacounty.gov/groups/4d4b58801df84a948971c9df17f95755 https://data.lacounty.gov/groups/ab2c44c67c78400aaabfaa414f2deffb https://data.iowadot.gov/groups/c45991364bae4590863490683aae42e6 https://data.lacounty.gov/groups/bea484f911a94a2ea5a9ddb04a15ea4a https://data.lacounty.gov/groups/4b5f2e6b36a642899d2cc202900c8e70 https://data.iowadot.gov/groups/06a00cdd1e164a25bf09ff3cda45a039 https://data.iowadot.gov/groups/ee4df13d714745b1a1c3086a528b52ac https://data.iowadot.gov/groups/ee4df13d714745b1a1c3086a528b52ac https://data.lacounty.gov/groups/d9562964497c4f31a5608a7594cd827c https://data.lacounty.gov/groups/ae8d0c1e810f421194d64d66db29ac36 https://data.lacounty.gov/groups/f8cf3d677f324e708859392bea6031d8 Run by internationally renowned vets, Harry Scott and Phil Witte, the pair collaborated to produce the second edition of the world's first work on feline orthopaedics, after Harry worked on the first edition in 2006. The new centre runs as referral only, with local vets referring pets needing surgery. "Some local vets know all about us and are happy ringing up, and this is something that we've wanted, that we have a relationship with local vets and they ring up and feel comfortable just talking to us," Phil said. (Image: Newsquest) "That was one of the most important things about setting this up, really." Harry said the pair have been enjoying the new facility, with no expense spared on 'cutting edge' technology, like a CT scanner and x-ray setup. "I think that what we've done actually works very well without destroying the character or the fabric of the building," he said. "We've actually made it into a very serviceable orthopaedic referral centre for animals, with a family atmosphere as well. "I think because it is a relatively small facility at the moment, it's me, Phil and three qualified nurses, we expect it to grow, but we're not thinking that it's going to become anything with 100 staff, like some of the referral centres." (Image: Newsquest) Harry first qualified as a vet in 1977 - and this is his third business he has set up, while it is Phil's first. The pair have worked across the country, with Harry's career seeing him work for the RSPCA, as a GP vet and a specialist orthopaedic vet, while Phil worked with Harry in Ringwood before moving to work in Cornwall. Since opening, the surgery has seen a gradual increase in cases, operating on cats and dogs, including hip and knee replacements and pelvic and ankle fractures. "It's been in the making for a long time," Harry said. "There's been a lot of anticipation, to actually be in, at last, it's great to have the place to ourselves."....

edthrth/Seven-simple-diet-rules-that-every-40something-should-follow-4e-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/99db01b5d24249d7a7c0ea6c4bb108fe Source : https://data.iowadot.gov/groups/c694ecb730004c149bcba1351d44a8a4 Flash News : https://data.lacounty.gov/groups/8b28cb09ebf34d4486468e4484e4b8fd Biden last Talk : https://data.lacounty.gov/groups/beea2884544e42d2b6c007913c75cf7a Russian Ukrain Breaking News : https://data.lacounty.gov/groups/99db01b5d24249d7a7c0ea6c4bb108fe Other Sources : https://data.lacounty.gov/groups/d3309f3de7944f2c82348f086d999553 https://data.lacounty.gov/groups/d7794f8c49ee4142b8c8162b07aa20d8 https://data.lacounty.gov/groups/feaf2b038d744076b39cfed4f660a6e9 https://data.iowadot.gov/groups/e4279e19431d47df85e7109a01099d31 https://data.lacounty.gov/groups/bea484f911a94a2ea5a9ddb04a15ea4a https://data.lacounty.gov/groups/8b28cb09ebf34d4486468e4484e4b8fd https://data.lacounty.gov/groups/2e4cddeb6f494454966b4bb33b99808f https://data.lacounty.gov/groups/a6643ceecfaf4860b3e471e755da15d3 https://data.lacounty.gov/groups/772acd9e3e7343b39702eb8178436463 https://data.lacounty.gov/groups/bf6d515bd3674b8b8ee8b85b0311ebc2 https://data.iowadot.gov/groups/aa49134337364a7f9e1dc249603220f0 https://data.iowadot.gov/groups/3a8842ee5b4645d69a4079c07e54cdaf https://data.iowadot.gov/groups/3a8842ee5b4645d69a4079c07e54cdaf https://data.lacounty.gov/groups/59e66f937dff40df8c9822f168026896 However, Southern adds: "What we eat in midlife should be about building our future health, and our 40s are the perfect time to make changes." Here's our guide to what to eat in your 40s to maximise your chances of remaining well into old age. Rushing to get children to school and make it to work on time can make it tempting to grab a quick pastry or slice of white toast for breakfast, but this sets us up for a cycle of crashing blood sugar a couple of hours later, followed by a craving for something equally sugary or refined carb-heavy. Not only is this bad for our waistlines and energy levels, if these spikes happen too often, they can lead to insulin resistance and cause obesity, Type 2 diabetes, heart disease and accelerated ageing. Eliminating sugar from breakfast and replacing it with protein and healthy fats will stabilise energy levels and make it far easier to resist unhealthy snacks. "Something like eggs and avocado on toast, or yogurt and berries, are good choices," says Southern. Healthy protein from these sources and others - including lean meat, fish, beans and pulses - is particularly important for women in their 40s, for whom hormonal changes impact muscle mass, bone health and metabolism. Eating high levels of ultra-processed food - food which has been industrially manipulated to be a long way from the initial raw ingredients, and generally contains additives such as preservatives, emulsifiers and stabilisers - has been linked to a higher risk of early death from all causes. A large proportion of the bread we buy from the supermarket falls into the UPF category, with white sliced loaves the nutritional nadir. Refined white carbohydrates including bread and pasta not only offer minimal fibre, but also cause blood sugar spikes. "We want to reduce the amount of UPFs and refined white carbs we consume, and a simple place to start is our bread," says Southern. "It's worth making a little extra effort to make sure the list of ingredients is as small as possible, and then looking for bread with added seeds, or made from rye or spelt flour to increase your fibre intake. Fibre supports male and female hormone balance and gut health, and it also fights inflammation, which can lead to heart disease, dementia and cancer." One recent Danish study showed that those who ate the most wholegrains, such as oats, brown rice and quinoa, lived longer without disease than those who ate the least. The importance of our microbiome, the community of bacteria, fungi and viruses within our intestines, to our overall health is now well-known, and research from the American Gut Project found the single best thing we can do for gut health is eat 30 different plant foods a week - advice supported by leading British experts including Professor Tim Spector. Eating a rainbow of fruit and vegetables is vital, but if 30 a week seems daunting, remember that when it comes to gut health, diversity is key. "Even small amounts of different plants feed our microbiome," says Southern. "One of my biggest tips to clients is to keep a few potted herbs on the kitchen windowsill and when you're cooking, throw in a few leaves. "If you keep a jar of mixed seeds on your countertop and sprinkle them onto your food, you're getting a quick, easy source of good fats, protein, fibre and trace nutrients. Chia seeds or ground flaxseeds are ideal stirred through yogurt or porridge, and sesame, sunflower and pumpkin seeds can add texture to a soup or salad." Many of us know that fermented foods are good for our gut health, promoting a healthier and more diverse microbiome - but if we find the idea of kimchi and sauerkraut unappealing, what can we eat instead? "I often start the day with a bowl of kefir yogurt," says Southern. "It's such a simple swap from normal yogurt, but it has more probiotics in it, which are great for digestive health." There is evidence that kefir, made by adding kefir grains to milk, also increases immune function and reduces inflammation. A major study by the National University of Singapore found that people who began eating nuts twice a week or more in their 40s were more than a fifth less likely to have problems with memory when they were over 60, compared with those who ate nuts less than around once a month. "Nuts are nutrient-rich, providing us with fibre, protein, vitamins, minerals and other micronutrients which protect our brain health, as well as reducing our risk of heart disease," says Southern. "A small handful is an ideal snack to tide you over until the next meal without sending your blood sugar soaring." It can often feel as though, if you're not preparing everything you eat from scratch, you're failing - and during your time-poor 40s, it often feels impossible. But, says Southern, there are plenty of shortcuts to be found at the supermarket that can help build your healthspan. "The easier we can make eating well, the more likely we are to actually do it," she says. "I'm a big fan of pre-made fresh soup, particularly ones with plant protein from chickpeas or beans - when I'm busy working, I heat one up, throw in a handful of green leaves, sprinkle some seeds on top and know I've got a nutrient-rich lunch. "Packets of pre-cooked lentils are great for throwing into a Bolognese or shepherd's pie. It's just about thinking which options are going to give you more of what you need to live a long and healthy life." Higher consumption of fruit in midlife was found to be associated with lower odds of depressive symptoms in later life in a large Singapore cohort study of over 13,000 participants. Researchers found that the consumption of most fruits, including oranges, tangerines, bananas, papayas, watermelons, apple and honey melon, was associated with a reduced likelihood of depression. That could be due to the high levels of antioxidants and anti-inflammatory micronutrients in fruits, including vitamin C, carotenoids and flavonoids. It's thought that these micronutrients reduce oxidative stress and inflammation in the body, which is linked to the development of depression.....

BTX24/sd-class-butterflies-32

BTX24

diffusers

unconditional-image-generation

--- license: mit tags: - pytorch - diffusers - unconditional-image-generation - diffusion-models-class --- # Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class) This model is a diffusion model for unconditional image generation of cute 🦋. ## Usage ```python from diffusers import DDPMPipeline pipeline = DDPMPipeline.from_pretrained('BTX24/sd-class-butterflies-32') image = pipeline().images[0] image ```

asthaa30/nomicll3.1

asthaa30

--- license: apache-2.0 ---

dereckd/1960s_style_xl

dereckd

Entry not found

acaleechurn/bert-base-banking77-pt2

acaleechurn

--- license: apache-2.0 tags: - generated_from_trainer metrics: - f1 model-index: - name: bert-base-banking77-pt2 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. --> # bert-base-banking77-pt2 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.2976 - F1: 0.9298 ## 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: 16 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | F1 | |:-------------:|:-----:|:----:|:---------------:|:------:| | 1.0715 | 1.0 | 626 | 0.7745 | 0.8438 | | 0.3833 | 2.0 | 1252 | 0.3723 | 0.9166 | | 0.1841 | 3.0 | 1878 | 0.2976 | 0.9298 | ### Framework versions - Transformers 4.27.1 - Pytorch 2.3.0a0+gitae01701 - Datasets 2.9.0 - Tokenizers 0.13.3

jic062/instruct_v17

jic062

Entry not found

natethom/q-FrozenLake-v1-4x4-noSlippery

natethom

reinforcement-learning

--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: FrozenLake-v1-4x4-no_slippery metrics: - type: mean_reward value: 1.00 +/- 0.00 name: mean_reward verified: false --- # **Q-Learning** Agent playing1 **FrozenLake-v1** This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** . ## Usage ```python model = load_from_hub(repo_id="natethom/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl") # Don't forget to check if you need to add additional attributes (is_slippery=False etc) env = gym.make(model["env_id"]) ```

Krabat/Qwen-Qwen1.5-1.8B-1722631161

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/43-German-shepherds-seized-by-BC-SPCA-from-property-near-Prince-George-33-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/99db01b5d24249d7a7c0ea6c4bb108fe Source : https://data.iowadot.gov/groups/0461d8400f6944b3b01a2d46bd4e2c1d Flash News : https://data.lacounty.gov/groups/17c95b16327042548d720aa972bc0e3e Biden last Talk : https://data.lacounty.gov/groups/18cd7b1edcee4a089f52c85c24275352 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/85390ac3eadd4a16a0df9ce665982c2f Other Sources : https://data.iowadot.gov/groups/aa49134337364a7f9e1dc249603220f0 https://data.lacounty.gov/groups/8682f6ae93bf4ad7839cb6dbd91d04b9 https://data.lacounty.gov/groups/35a8a183482f4a3db0c8ac50e0a57637 https://data.lacounty.gov/groups/99331a60b07244858b51c86d31dd393d https://data.lacounty.gov/groups/aeaad5b8b96c49dc9337907d74de0f93 https://data.lacounty.gov/groups/630d6f421529474da309c736f555549d https://data.lacounty.gov/groups/646ddebfd5da4cd587ca71ef5fa25109 https://data.lacounty.gov/groups/85390ac3eadd4a16a0df9ce665982c2f https://data.lacounty.gov/groups/f7e1481e87de402b9da40153f0b59904 https://huggingface.co/edthrth/Pezeshkian-Iran-to-continue-to-firmly-back-Resistance-2f-updated https://data.lacounty.gov/groups/9327acc6a34a4185bb315eca822bb27a https://data.iowadot.gov/groups/45fd6b1056474423bba054f28b3083fa https://data.lacounty.gov/groups/5bbd082d54d1401f9a23827343042900 https://data.iowadot.gov/groups/01f3c942b4b44a8585262b0b42b6febd 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.....

whizzzzkid/whizzzzkid_p111_3

whizzzzkid

Entry not found

lazertorp/Qwen-Qwen1.5-0.5B-1722631189

lazertorp

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 0.11.1

Peruvian-Spider-Monkey/diffusion800k-7600

Peruvian-Spider-Monkey

diffusers

text-to-image

--- library_name: diffusers --- # 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 🧨 diffusers 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/43-German-shepherds-seized-by-BC-SPCA-from-property-near-Prince-George-fg-updated

edthrth

--- language: - en --- []() read the full article here : https://data.iowadot.gov/groups/7f779820ce514ffc8e2a5c015702a9a5 Source : https://data.lacounty.gov/groups/3013a2d98f4d4b94ba2a3a5279995520 Flash News : https://data.iowadot.gov/groups/ee4df13d714745b1a1c3086a528b52ac Biden last Talk : https://data.lacounty.gov/groups/1f32a96d5d7a434db36f1d4d37506a69 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/bea484f911a94a2ea5a9ddb04a15ea4a Other Sources : https://data.lacounty.gov/groups/85390ac3eadd4a16a0df9ce665982c2f https://data.lacounty.gov/groups/f8c4b606dea143f287bcb745ba278a64 https://data.iowadot.gov/groups/06a00cdd1e164a25bf09ff3cda45a039 https://data.lacounty.gov/groups/f3767f687c3748008bfb24866d36d3a2 https://data.lacounty.gov/groups/7af06f1aac20479182370b1a8f884648 https://data.iowadot.gov/groups/d204fdca49ea4344ba88574c069434df https://data.iowadot.gov/groups/e50aefa49baa481281c8d93c9a42a4f2 https://data.lacounty.gov/groups/920ea0b30c7145bdb519839c098dc6d5 https://data.lacounty.gov/groups/9f48c48825d042f8b3ef290e70c8a114 https://data.iowadot.gov/groups/7008c6f3be0741deb2e9d7b00ef0d934 https://data.iowadot.gov/groups/3a7f4b3629854b959b1753dda2ae1ed4 https://data.lacounty.gov/groups/eb1fcb15716942438e22ebb1e0e0fa0c https://data.lacounty.gov/groups/be8bfad9c79d482aa4e33bca0513e909 https://data.iowadot.gov/groups/6887af92d446414ab234be920970e80c 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.....

mrsamsami/Llama-overfit

mrsamsami

--- tags: - model_hub_mixin - pytorch_model_hub_mixin --- This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration: - Library: [More Information Needed] - Docs: [More Information Needed]

Magpie-Align/Llama-3.1-8B-Magpie-SFT-650KR-Magpo-Armorm-3.1-70B-05

Magpie-Align

Entry not found

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

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/6d344617ead14e1daa121a7e53ea9f83 Source : https://data.lacounty.gov/groups/9f48c48825d042f8b3ef290e70c8a114 Flash News : https://data.lacounty.gov/groups/920ea0b30c7145bdb519839c098dc6d5 Biden last Talk : https://data.lacounty.gov/groups/6d344617ead14e1daa121a7e53ea9f83 Russian Ukrain Breaking News : https://huggingface.co/edthrth/SIT-files-chargesheet-against-Revanna-others-Bengaluru-News-Times-of-India-eg-updated Other Sources : https://data.iowadot.gov/groups/155c6394e27a47268292a6a7b320a22d https://data.lacounty.gov/groups/bfb0cf172a2842d2a1fb80164decfefc https://data.lacounty.gov/groups/bc1f2661f58b4d2fa0608ab91d72624b https://data.lacounty.gov/groups/5b3c7bd15b774bb4a24b283b971723f7 https://data.lacounty.gov/groups/17c95b16327042548d720aa972bc0e3e https://data.lacounty.gov/groups/eb1fcb15716942438e22ebb1e0e0fa0c https://data.iowadot.gov/groups/7008c6f3be0741deb2e9d7b00ef0d934 https://data.iowadot.gov/groups/899c4b461d3c4f709fe2206561efc24c https://data.iowadot.gov/groups/155c6394e27a47268292a6a7b320a22d https://data.iowadot.gov/groups/96ff76bea11747f3b0b9f0193f047b1d https://data.lacounty.gov/groups/8b905fa804674c33b001c9bd25e57cec https://data.iowadot.gov/groups/cc4cbe3d97544a68b8d581a478ae1a38 https://huggingface.co/edthrth/Patients-face-months-of-misery-as-GPs-vote-for-industrial-action-2b-updated https://data.lacounty.gov/groups/e48471cdff1d4ce78d9d3e1b947ef7a5 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.....

edthrth/DeSantis-issues-emergency-declaration-for-54-Florida-counties-1c-updated

edthrth

--- language: - en --- []() read the full article here : https://data.iowadot.gov/groups/c694ecb730004c149bcba1351d44a8a4 Source : https://data.iowadot.gov/groups/01f3c942b4b44a8585262b0b42b6febd Flash News : https://data.lacounty.gov/groups/59e66f937dff40df8c9822f168026896 Biden last Talk : https://data.lacounty.gov/groups/272302a0149a489ebd9b85dee7fe6606 Russian Ukrain Breaking News : https://data.iowadot.gov/groups/899c4b461d3c4f709fe2206561efc24c Other Sources : https://data.lacounty.gov/groups/c5672fe31b7649e5859b3523fa4a4e95 https://data.lacounty.gov/groups/15a816ec1af1435e8f7735cb32493813 https://data.iowadot.gov/groups/7f779820ce514ffc8e2a5c015702a9a5 https://data.lacounty.gov/groups/a515c3b6f9154667b06ca76be132ce16 https://data.lacounty.gov/groups/9f48c48825d042f8b3ef290e70c8a114 https://data.lacounty.gov/groups/d7794f8c49ee4142b8c8162b07aa20d8 https://data.iowadot.gov/groups/06a00cdd1e164a25bf09ff3cda45a039 https://data.lacounty.gov/groups/914ecd47a1dc423b9662e1aea759db13 https://data.lacounty.gov/groups/bea484f911a94a2ea5a9ddb04a15ea4a https://data.iowadot.gov/groups/f00adba8005543aab1d20c68d621613f https://data.iowadot.gov/groups/3a8842ee5b4645d69a4079c07e54cdaf https://data.lacounty.gov/groups/d3309f3de7944f2c82348f086d999553 https://data.iowadot.gov/groups/7008c6f3be0741deb2e9d7b00ef0d934 https://data.lacounty.gov/groups/78b1c67bcf0648f1b69a468876bbef12 TALLAHASSEE, Fla. -- Florida Gov. Ron DeSantis declared an emergency in 54 counties Thursday ahead of a potential storm in the Gulf of Mexico. Counties affected by the declaration include: Alachua, Baker, Bay, Bradford, Calhoun, Charlotte, Citrus, Clay, Collier, Columbia, Dixie, Duval, Escambia, Flagler, Franklin, Gadsden, Gilchrist, Gulf, Hamilton, Hernando, Hillsborough, Holmes, Jackson, Jefferson, Lafayette, Lake, Lee, Leon, Levy, Liberty, Madison, Manatee, Marion, Monroe, Nassau, Okaloosa, Orange, Osceola, Pasco, Pinellas, Polk, Putnam, Santa Rosa, Sarasota, Seminole, St. Johns, Sumter, Suwannee, Taylor, Union, Volusia, Wakulla, Walton, and Washington counties. The order comes as tropical wave Invest 97L "is producing a large area of disorganized showers and thunderstorms over Hispaniola, Puerto Rico and the Virgin Islands," DeSantis' executive order said. The order said that conditions are favorable for Invest 97L to develop into a tropical depression over the weekend and early next week "over the eastern Gulf of Mexico near the Florida Peninsula." Based on meteorological reports, the emergency declaration said that there is a "significant threat of heavy rainfall over most of the State of Florida, with the possibility of at least twelve (12) inches of rainfall over the next seven (7) days." It is expected that any "prolonged heavy rainfall" from the potential storm could result in "river flooding, coastal flooding, erosion, and gusty winds."....

Sayed14/hassan

Sayed14

--- license: openrail ---

Q-bert/outputs

Q-bert

Entry not found

martimfasantos/cpo-xcomet-xl_xxl-inc7b-10p-shuff-1e-7-full-tiny_new

martimfasantos

--- license: apache-2.0 base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T tags: - xcomet_xl_xxl - generated_from_trainer model-index: - name: cpo-xcomet-xl_xxl-inc7b-10p-shuff-1e-7-full-tiny_new 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. --> # cpo-xcomet-xl_xxl-inc7b-10p-shuff-1e-7-full-tiny_new This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) on the Unbabel/TowerAligned-v0.1 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-07 - train_batch_size: 1 - eval_batch_size: 4 - seed: 42 - distributed_type: multi-GPU - num_devices: 2 - gradient_accumulation_steps: 32 - total_train_batch_size: 64 - total_eval_batch_size: 8 - optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 3 ### Training results ### Framework versions - Transformers 4.43.3 - Pytorch 2.3.1+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1

Krabat/Qwen-Qwen1.5-7B-1722631575

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/Who-Are-The-24-Prisoners-Who-Were-Swapped-In-USRussia-Deal-e2-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/6b61baed1b2645e0a0dd784044b965aa Source : https://data.lacounty.gov/groups/e85144fa94184e51afc75ffcbb8a3c6b Flash News : https://data.lacounty.gov/groups/3e565394dda9416f924636520bc5b905 Biden last Talk : https://data.lacounty.gov/groups/e85144fa94184e51afc75ffcbb8a3c6b Russian Ukrain Breaking News : https://data.lacounty.gov/groups/beea2884544e42d2b6c007913c75cf7a Other Sources : https://data.iowadot.gov/groups/3281a2ff349d4f889acb99fcbb8a2603 https://data.lacounty.gov/groups/191b8d8656c142079b74f5c2fefc1794 https://data.lacounty.gov/groups/55d9ca98c5d142fe954618c9b23e28e3 https://data.iowadot.gov/groups/06a00cdd1e164a25bf09ff3cda45a039 https://data.lacounty.gov/groups/beea2884544e42d2b6c007913c75cf7a https://data.iowadot.gov/groups/f00adba8005543aab1d20c68d621613f https://data.iowadot.gov/groups/9b3049d821174fa2827941eb6ca93618 https://data.lacounty.gov/groups/630d6f421529474da309c736f555549d https://data.lacounty.gov/groups/d3309f3de7944f2c82348f086d999553 https://data.iowadot.gov/groups/37b2424f3a794a29b07ae1eda9795f9f https://data.lacounty.gov/groups/a6643ceecfaf4860b3e471e755da15d3 https://data.iowadot.gov/groups/dd9c5e03371846ab95df5e86e0affe06 https://data.lacounty.gov/groups/b002627f93ab4c5d9eda14604cd2b3b9 https://data.lacounty.gov/groups/12c17845094645d7b70e59be8f7db1bd A veteran human rights activist. A married couple who worked for years in deep-cover aliases. Two American journalists. The son of a Russian lawmaker. The list of people released on August 1 in a multiple-country prisoner swap, the largest of its kind since the Cold War, is a diverse and sweeping roster of personalities and backgrounds, a mix of people with little to nothing in common -- except being swept up in months of high-stakes, closed-door diplomatic wrangling. Some were convicted by U.S. juries and sentenced to U.S. prison terms. Some were picked up on dubious allegations of espionage and railroaded through a Russian judicial system with little pretense of fair justice. All 24 are now being set free, to either their home countries or elsewhere. Here's a comprehensive list of the people released on August 1, listed by country. Evan Gershkovich, a reporter with the Wall Street Journal, was found guilty on July 19 by a court in Yekaterinburg on espionage charges that he, his employer, and the U.S. government have rejected as politically motivated, and sentenced him to 16 years in prison. The 32-year-old was arrested in March 2023 while on a reporting trip to Yekaterinburg. Evan Gershkovich Accredited by Russia's Foreign Ministry and based out of The Wall Street Journal's Moscow bureau, Gershkovich was accused of trying to access classified information. Gershkovich was the first American journalist to be arrested on spy accusations in post-Soviet Russia. Last month, prosecutors accused him of working on behalf of the CIA. The Wall Street Journal Journal has vehemently denied the accusation, calling the case against him a sham. Gershkovich, who had been held in Moscow's notorious Lefortovo prison, was officially designated as wrongfully detained. Vladimir Kara-Murza An opposition activist and former journalist, Vladimir Kara-Murza survived two near-fatal illnesses that U.S. authorities classified as 'intentional poisoning.' His denunciations of the all-out Russian invasion of Ukraine led to a treason conviction and a 25-year prison sentence. Kara-Murza, who worked closely with assassinated Putin foe Boris Nemtsov, also cultivated strong ties with members of U.S. Congress, which he leveraged to influence U.S. policy toward Russia. Vladimir Kara-Murza Despite warnings, Kara-Murza returned from living abroad to Russia to continue his political work. In April 2022, about two months after the Ukraine invasion, he was detained by police in Moscow for allegedly disobeying police orders. Later that year, prosecutors filed treason charges, and in April 2023 he was convicted and sentenced to 25 years in prison. He was sent to a maximum-security facility in the Siberian region of Omsk, where he was also placed in solitary confinement cells. In the months leading up to his release, his allies had warned that his health had deteriorated, and he had lost an alarming amount of weight in the maximum-security prison where he was serving his sentence -- one of the longest ever handed to a Kremlin opponent. Alsu Kurmasheva Alsu Kurmasheva, a Prague-based editor for RFE\/RL's Tatar-Bashkir Service, was detained by authorities in June 2023 as she was visiting relatives in the central Russian region of Tatarstan. A dual Russian-U.S. citizen, she was initially charged with not declaring her U.S. passport, and released, but barred from leaving the country. Alsu Kurmasheva That October, however, she was arrested and hit with additional charges of being an undeclared foreign agent -- under a draconian law targeting journalists, civil society activists, and others. She was later hit with an additional charge: distributing 'fake' news about the Russian military, a charge stemming apparently from her work editing a book about Russians opposed to the Ukraine war. On July 19, Kurmasheva was convicted by a Tatarstan court and sentenced to 6 ½ years in prison, after a secret, closed-door trial. Paul Whelan Paul Whelan, 54, was arrested in December 2018 while visiting Moscow for a friend's wedding, and accused of receiving a computer flash drive that contained classified information. Paul Whelan A former U.S. Marine who was working as a corporate security executive at the time, Whelan has said he was set up in a sting operation and that he thought the thumb drive contained vacation photographs from his friend. In June 2020, a Russian court convicted him of espionage and sentenced him to 16 years in prison. His time has been spent largely in a prison in the central region of Mordovia. Whelan's family and the U.S. government have called his conviction a sham and a mockery of justice. Whelan, who also holds British, Canadian, and Irish citizenship, was designated by the U.S. government as wrongfully detained. Ilya Yashin Ilya Yashin, 41, has been a stalwart of street protests in the Putin era and was also a close ally of Nemtsov, presenting a report on Russian involvement in the war in Ukraine's Donbas region that Nemtsov had been working on when he was shot dead in 2015. A local lawmaker who was chairman of his Moscow district council in 2017-21, Yashin was convicted and sentenced to 8 1\/2 years in prison in December 2022 over criticism of what he has called Russia's 'monstrous war' in Ukraine. Ilya Yashin The charge stemmed from YouTube posts in which Yashin spoke about the killings of civilians in Bucha, a city outside Kyiv where survivors, rights activists, and Ukrainian authorities say Russian forces committed atrocities before withdrawing following Russia's failure to capture the capital. In his final court appearance before the verdict, Yashin urged Putin to 'stop the madness' and end the war by withdrawing Russia's forces from Ukraine, adding: 'Your name is now firmly associated with the words 'death' and 'destruction.'' Oleg Orlov Oleg Orlov, 71, is one of the most experienced and respected human rights activists in Russia, with a record of advocacy stretching back to the Soviet era and encompassing reporting on abuses in Moscow, Chechnya, and nationwide. A co-chairman of the now outlawed Nobel Peace Prize-winning Memorial human rights center, Orlov was convicted in February of repeatedly discrediting the Russian military and sentenced to 30 months in prison, a ruling that was upheld in July. Oleg Orlov The charge against Orlov stems from an article in which he condemned the Ukraine invasion and said that Russia was 'slipping back into totalitarianism, but this time the fascist kind.' 'The bloody war that Putin's regime has unleashed in Ukraine is not only the mass murder of people and the annihilation of infrastructure, economy, and cultural sites. Not only the destruction of the foundations of international law,' he wrote. 'It is also a severe blow to the future of Russia.' Kevin Lik Lik, a dual German-Russian citizen, was sentenced to four years in prison in December 2023 after being convicted of treason following a closed-door trial. He was 18 years old at the time of his conviction. Kevin Lik A resident of the North Caucasus region of Adygea, Lik was found guilty of observing and photographing the local military base and sending the pictures by e-mail to a representative of a foreign government, according to Russian prosecutors. Aleksandra Skochilenko, 33, is a St. Petersburg artist who protested against the Ukraine invasion shortly after Putin launched it in February 2022 by replacing five shelf tags in a grocery store with information about the war. One said that Russia had 'bombed an art school in Mariupol where about 400 people were seeking shelter.' Another read, 'Putin has been lying to you from the television screen for 20 years. The result of these lies is our willingness to accept war and senseless deaths.' Aleksandra Skochilenko Skochilenko, who usually goes by the familiar form of her name, Sasha, was convicted in November 2022 of distributing false information about the Russian military and sentenced to seven years in prison. She argued that the words on the tags were the truth. 'My great-grandfather didn't participate in World War II for four years so that Russia would become a fascist state and attack Ukraine,' Skochilenko wrote on one of them. In a final statement in court, she wondered aloud why the state was frightened by 'five tiny pieces of paper.' Andrei Pivovarov Andrei Pivovarov, 42, is the former executive director of the now-defunct pro-democracy Open Russia movement set up by exiled former oil tycoon Mikhail Khodorkovsky. He was detained in May 2021 after being taken off a Warsaw-bound plane just before takeoff from St. Petersburg and sentenced to four years in prison in July 2022 on a charge of heading an 'undesirable organization.' The 'undesirable organizations' law, adopted in 2015, was part of a series of regulations pushed by the Kremlin that squeezed many nonprofit and NGOs that received funding from foreign sources -- mainly from Europe and the United States. These laws are widely seen as a tool to stamp out political dissent and tighten the Kremlin's control over the country's political landscape. Ksenia Fadeyeva Ksenia Fadeyeva, 32, is a former local lawmaker and the former head of Navalny's regional office in the Siberian city of Tomsk. In December 2023, she was convicted on charges including organizing activities of an extremist group and was handed a nine-year prison term. Ksenia Fadeyeva Her lawyer, Semyon Vodnev, called the judge's ruling 'illegal, ungrounded, and unjust.' He argued, among other things, that Fadeyeva had ended her involvement with Navalny's organization before it was labeled extremist in 2021. At the time of her conviction, Navalny's spokeswoman, Kira Yarmysh, hailed Fadeyeva as 'honest and brave' and said that those who fabricated the criminal case against her would eventually face punishment. In May, a court rejected Fadeyeva's appeal and Tomsk officials stripped her of her mandate in the city council in June. Demuri Voronin Political scientist Demuri Voronin, a Russian-German national, was convicted on a high treason charge and sentenced to 13 years and three months in prison by the Moscow City Court in March 2023. Voronin was arrested in Moscow in 2021, hours before he was due to depart to Berlin. The case materials were classified, but Voronin was mentioned in a high treason case against journalist Ivan Safronov, who was sentenced to 22 years in prison in September 2022 and was declared a political prisoner by Memorial. Voronin owned a consulting company in Moscow that collaborated with noted journalists. Patrick Schoebel Patrick Schoebel, a German, was arrested at Pulkovo Airport in St. Petersburg earlier this year after officers who searched him said they found cannabis gummies. Accused of drug possession and smuggling, Schoebel was jailed in Moscow. The Russian Federal Customs Service said Schoebel told the authorities he brought 10 gummies from Germany into Russia to have a more 'restful sleep' on long flights. Russia claimed that a test of the gummies found they contained a banned substance. Schoebel had faced up to seven years in prison, according to the Customs Service and Russian state media reports. At the time of the prisoner swap, it was not immediately clear whether he had been tried. German Moyzhes German Moyzhes, a dual German-Russian citizen who was living in St. Petersburg, is a lawyer and reportedly a managing partner in a company that provides support to Russians seeking residence permits in the European Union. He has also been a public advocate for pedestrian and cyclist-friendly streets. German Moyzhes Moyzhes was arrested in late May while riding his bicycle along an embankment in St. Petersburg, accused of treason, and sent to the Lefortovo prison. It was unclear whether his trial had begun when the exchange took place. Lilia Chanysheva Lilia Chanysheva, 42, is the former head of the branch of Navalny's political network in Ufa, the capital of the Bashkortostan region. The network, established for Navalny's unsuccessful bid to get on the 2018 presidential ballot and challenge Vladimir Putin, was branded 'extremist' in 2021. In June 2023, Chanysheva was convicted of crimes including creating an extremist community and inciting extremism and was sentenced to 7 ½ years in prison. The regional Supreme Court later extended her term by two years, saying the initial sentence was too lenient. Lilia Chanysheva In comments to RFE\/RL from jail before her conviction, Chanysheva described the case against her as 'not only political, but actually absurd.' Navalny, who died in suspicious circumstances in prison in February 2024, testified in her trial 10 months earlier. 'Think about the beautiful Russia of the future that we will achieve. Thanks to you and people like you, we will do this. You are a rock. I never doubted you, not for one second.... I am so happy I know you,' Navalny said. 'You have inspired a huge number of people.' Vadim Ostanin Vadim Ostanin, 47, is the former head of a local branch of Navalny's team in the Siberian city of Barnaul. He was arrested in December 2021 and charged with organizing an extremist community and propagating the activities of a noncommercial organization that encroaches on citizens' privacy and rights. Vadim Ostanin The charges were related to the activities of Navalny's Anti-Corruption Foundation, which published numerous investigations into corruption and cronyism involving Putin and his close associates, as well as other top Russian officials. Ostanin was sentenced to nine years in prison in July 2023 for activities that Navalny's supporters called 'legal political work.' Memorial designated him a political prisoner. A German citizen, Rico Krieger, 30, was sentenced to death in Belarus in June, before he was pardoned by Belarusian leader Alyaksandr Lukashenka on July 30. Lukashenka's office provided no additional information about the reasoning behind the pardon. Details of Krieger's case were not known until the Vyasna human rights group reported that he was sentenced to death in June for mercenary activity, terrorism, creating an extremist group, intentionally damaging a vehicle, and illegal operations with firearms and explosives. Rico Krieger According to Vyasna, it was the first trial in Belarus for 'mercenary activity' and the charges were connected to the Kalinouski Regiment, a group of anti-government Belarusian exiles fighting for Ukraine. The Kalinouski Regiment denies any connection to the case. Krieger was born in Berlin and worked as a paramedic for the German Red Cross, according to Vyasna. He has a young son, who lives in Germany. He worked previously as a special security officer for the U.S. State Department in Berlin, where he gained experience in armed security operations. He then moved to health care and worked as a nurse specializing in emergency medical care. Vadim Krasikov, 59, also known as Vadim Sokolov, is a former Russian FSB officer currently serving a life sentence in Germany for the 2019 murder of ex-Chechen field commander Zelimkhan Khangoshvili in Berlin. German prosecutors stated that Krasikov shot Khangoshvili from a bicycle before attempting to flee. He was arrested after being seen changing clothes behind a bush. Vadim Krasikov (Sokolov) The German investigation identified Krasikov as a senior officer in the FSB's Vympel special forces unit. Additionally, a joint investigation by Bellingcat, The Insider, and Der Spiegel found connections between Krasikov and the FSB, linking him to other crimes. Prosecutors in Germany claimed that Moscow ordered the assassination because Khangoshvili had commanded separatist forces in Russia's North Caucasus region from 2000 to 2004 and was seeking refuge in Germany. In 2015, Khangoshvili survived a daylight assassination attempt in central Tbilisi, where he was shot four times in the arm and shoulder. Krasikov has been serving his sentence in a German prison since 2021. Norwegian investigators in 2023 announced that an academic who claimed Brazilian citizenship and who worked as a university lecturer was in fact an undercover Russian agent named Mikhail Mikushin. Mikushin had first traveled to Norway, to work at the Arctic University of Norway in 2021, identifying himself as Jose Assis Giammaria, according to Norwegian media. But year later, he was arrested, first on charges of lying about his identity, and then later with being a Russian spy. Mikhail Mikushin In 2023, Mikushin reportedly confessed to using a false identity. He has been held in an Oslo prison, and had faced up to three years in prison under Norwegian espionage laws. An IT entrepreneur who ran a Moscow company linked to the Russian government, Vladislav Klyushin was arrested on a ski trip in Switzerland in March 2021 on a U.S. arrest warrant for insider trading. He was accused of using hacked press releases to make stock trades. Vladislav Klyushin After extradition to the United States, he was found guilty by a U.S. jury and sentenced to nine years in prison in September 2023. During the trial, U.S. prosecutors repeatedly referenced Klyushin's partnership with a man identified as an officer with the Russian military intelligence agency widely known as the GRU. That man, Ivan Yermakov, was charged in a separate indictment brought by Special Counsel Robert Mueller for the hacking of the Democratic Party during the 2016 U.S. presidential election. Vadim Konoshchenok Vadim Konoshchenok, 49, is a suspected Russian intelligence agent who was detained by Estonian authorities in October 2022. At the time of his detention on a U.S. arrest warrant, U.S. prosecutors said that Konoshchenok was attempting to cross into Russia while carrying some three dozen types of microelectronics and electronic components. Vadim Konoshchenok They called Konoshchenok 'a critical participant in a scheme to provide sensitive, American-made electronics and ammunition in furtherance of Russia's war efforts and weapons development' in violation of U.S. sanctions. He was taken into U.S. custody in July 2023. He pleaded not guilty to charges that, if convicted, could have resulted in a maximum 30-year prison sentence. Roman Seleznyov The son of a member of Russia's lower house of parliament, Roman Seleznyov was arrested by U.S. authorities in 2014 on an arrest warrant for credit card fraud. His arrest, at an airport in the Maldives, followed by a quick extradition to the U.S. territory of Guam, sparked accusations by Moscow that he was kidnapped. Roman Seleznyov (center) U.S. investigators said they uncovered his online activities in the late 2000s and asked the Federal Security Service for help. But his online footprint soon disappeared, leading U.S. investigators to believe Russia was protecting him. Seleznyov, whose name was spelled Seleznev in U.S. court papers, eventually received a 27-year sentence -- one of the harshest sentences ever handed down to a Russian hacker because he chose to fight his case despite a preponderance of evidence rather than cooperate. Held In Slovenia Anna Dultseva And Artyom Dultsev (aka Maria Rosa Mayer Munos And Ludwig Gisch) Ludwig Gisch and Maria Rosa Mayer Munos are Russian citizens using aliases who were arrested in Slovenia in December 2022 on charges of spying for Russia. Shortly before the prisoner swap, the couple pleaded guilty to 'spying and falsifying documents.' Their real names are believed to be Artyom Dultsev and Anna Dultseva, and they both hold Argentinian passports and are around 40 years old. Anna Dultseva And Artyom Dultsev (aka Maria Rosa Mayer Munos And Ludwig Gisch) In 2017, the couple moved to Slovenia, where the husband ran an IT company and the wife operated an Internet art gallery. Media reports stated that they used Slovenia as a base to provide cash to Russian sleeper agents in the EU. Following their guilty plea, a Ljubljana court on July 31 sentenced them to more than 18 months in prison but then ordered their expulsion. Pablo Gonzalez is a Spanish-Russian freelance journalist who was arrested in Poland in February 2022 on charges of spying for Russia. Poland's ABW counterintelligence agency said in a statement at the time that it had identified him as an agent of Russian military intelligence. Gonzalez, who was born in Russia and is also known by his Russian name, Pavel Rubtsov, was alleged by Polish intelligence to have 'carried out activities for Russia using his journalistic status,' including in 'zones affected by armed conflicts and areas of political tension.' He was charged with 'participating in the activities of foreign intelligence against Poland.' The independent Russian media outlet Agentstvo reported shortly after Gonzalez's arrest that he had compiled reports on Nemtsov's daughter, Zhanna Nemtsova, after befriending her. Press-freedom watchdogs said Gonzalez should not be targeted for his journalistic activities and urged Poland to substantiate the charges against him. Among the media outlets that Gonzalez had provided reporting to is the U.S.-funded broadcaster VOA, which said it had taken six stories from him in 2020-21 and conducted a review of his work following his arrest. With reporting by RFE\/RL correspondent Todd Prince, AP, AFP, the BBC, and The Moscow Times Copyright (c) 2018. RFE\/RL, Inc. Republished with the permission of Radio Free Europe\/Radio Liberty, Washington DC 20036....

AlignmentResearch/robust_llm_82393d14511011efa2721d679d007f2a_from_EleutherAI_pythia-14m

AlignmentResearch

Entry not found

ab-jpg/ent_qlora

ab-jpg

Entry not found

ajrayman/Agree_continuous

ajrayman

--- license: mit base_model: roberta-base tags: - generated_from_trainer model-index: - name: Agree_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. --> # Agree_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: 0.0196 - Rmse: 0.1400 - Mae: 0.1110 - Corr: 0.4878 ## 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 | 268 | 0.0209 | 0.1447 | 0.1143 | 0.4689 | | 0.0296 | 2.0 | 536 | 0.0196 | 0.1400 | 0.1110 | 0.4878 | ### Framework versions - Transformers 4.43.3 - Pytorch 2.4.0 - Datasets 2.20.0 - Tokenizers 0.19.1

Krabat/google-gemma-2b-1722631795

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

HozRifai/FinMistral-lora-7b-v0.3-bnb-4bit

HozRifai

transformers

--- base_model: unsloth/mistral-7b-v0.3-bnb-4bit language: - en license: apache-2.0 tags: - text-generation-inference - transformers - unsloth - mistral - trl --- # Uploaded model - **Developed by:** HozRifai - **License:** apache-2.0 - **Finetuned from model :** unsloth/mistral-7b-v0.3-bnb-4bit - **FineTuned Dataset :** sujet-ai/Sujet-Finance-Instruct-177k 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)

lazertorp/Qwen-Qwen1.5-1.8B-1722631816

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-he-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/191b8d8656c142079b74f5c2fefc1794 Source : https://data.lacounty.gov/groups/914ecd47a1dc423b9662e1aea759db13 Flash News : https://data.lacounty.gov/groups/1f32a96d5d7a434db36f1d4d37506a69 Biden last Talk : https://data.lacounty.gov/groups/bfab507453c44cd0a81dbdae69305fcd Russian Ukrain Breaking News : https://data.iowadot.gov/groups/cc4cbe3d97544a68b8d581a478ae1a38 Other Sources : https://data.iowadot.gov/groups/7f779820ce514ffc8e2a5c015702a9a5 https://data.lacounty.gov/groups/728f12b842664a368ce4497a2230af22 https://data.lacounty.gov/groups/bfb0cf172a2842d2a1fb80164decfefc https://data.iowadot.gov/groups/c96d0ce2e6dc412ea3706194f830c0cf https://data.lacounty.gov/groups/bc1f2661f58b4d2fa0608ab91d72624b https://data.iowadot.gov/groups/e4279e19431d47df85e7109a01099d31 https://data.lacounty.gov/groups/1f32a96d5d7a434db36f1d4d37506a69 https://data.lacounty.gov/groups/f8c4b606dea143f287bcb745ba278a64 https://data.lacounty.gov/groups/d7794f8c49ee4142b8c8162b07aa20d8 https://data.lacounty.gov/groups/979fdda85abb4d69980e9a96a7040336 https://data.lacounty.gov/groups/973c51906a744b23897c135afcea7044 https://data.lacounty.gov/groups/aeaad5b8b96c49dc9337907d74de0f93 https://data.lacounty.gov/groups/01c879a8e36b4c9f86a9e7be7855812d https://data.iowadot.gov/groups/899c4b461d3c4f709fe2206561efc24c 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.....

edthrth/43-German-shepherds-seized-by-BC-SPCA-from-property-near-Prince-George-c4-updated

edthrth

--- language: - en --- []() read the full article here : https://data.iowadot.gov/groups/cc4cbe3d97544a68b8d581a478ae1a38 Source : https://data.lacounty.gov/groups/8682f6ae93bf4ad7839cb6dbd91d04b9 Flash News : https://data.lacounty.gov/groups/99331a60b07244858b51c86d31dd393d Biden last Talk : https://data.lacounty.gov/groups/6b61baed1b2645e0a0dd784044b965aa Russian Ukrain Breaking News : https://data.iowadot.gov/groups/01f3c942b4b44a8585262b0b42b6febd Other Sources : https://data.lacounty.gov/groups/e8b9788ce9b5414b976c8fe50d77c956 https://data.lacounty.gov/groups/191b8d8656c142079b74f5c2fefc1794 https://data.lacounty.gov/groups/6fb4ae28f4a7439897272faaf1eae5d5 https://data.lacounty.gov/groups/ef97a3a00db74849b200c7befe7977ae https://data.lacounty.gov/groups/2e4cddeb6f494454966b4bb33b99808f https://data.lacounty.gov/groups/bfab507453c44cd0a81dbdae69305fcd https://data.lacounty.gov/groups/5b3c7bd15b774bb4a24b283b971723f7 https://data.iowadot.gov/groups/96ff76bea11747f3b0b9f0193f047b1d https://data.iowadot.gov/groups/899c4b461d3c4f709fe2206561efc24c https://data.lacounty.gov/groups/6fb4ae28f4a7439897272faaf1eae5d5 https://data.iowadot.gov/groups/899c4b461d3c4f709fe2206561efc24c https://data.lacounty.gov/groups/bea484f911a94a2ea5a9ddb04a15ea4a https://data.lacounty.gov/groups/5b3c7bd15b774bb4a24b283b971723f7 https://data.lacounty.gov/groups/d7794f8c49ee4142b8c8162b07aa20d8 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.....

kheopss/kheops-hermes-e1-v0.5-bnb-16bit

kheopss

transformers

text-generation

--- base_model: unsloth/OpenHermes-2.5-Mistral-7B-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/OpenHermes-2.5-Mistral-7B-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)

Ffftdtd5dtft/Ffftdtd5dtft_models_repo

Ffftdtd5dtft

Entry not found

arjitlohia/Gemma-2-2b-it-finetuned-lmsys-1k

arjitlohia

transformers

--- base_model: unsloth/gemma-2-2b-it-bnb-4bit language: - en license: apache-2.0 tags: - text-generation-inference - transformers - unsloth - gemma2 - trl --- # Uploaded model - **Developed by:** arjitlohia - **License:** apache-2.0 - **Finetuned from model :** unsloth/gemma-2-2b-it-bnb-4bit This gemma2 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)

Nutanix/starcoder2-7b_SFT_lora_4_alpha_16_humaneval_llm_processed_json

Nutanix

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]

shapers/Botnet2-1.5b-Lora-Pullback_CCI

shapers

peft

--- base_model: Qwen/Qwen2-1.5B-Instruct library_name: peft license: other tags: - llama-factory - lora - generated_from_trainer model-index: - name: caralho 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. --> # caralho This model is a fine-tuned version of [Qwen/Qwen2-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2-1.5B-Instruct) on the cci_strategy_dataset 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: 0.0001 - train_batch_size: 4 - eval_batch_size: 8 - seed: 42 - distributed_type: multi-GPU - num_devices: 2 - gradient_accumulation_steps: 4 - total_train_batch_size: 32 - total_eval_batch_size: 16 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 500 - num_epochs: 1.0 - mixed_precision_training: Native AMP ### Training results ### Framework versions - PEFT 0.12.0 - Transformers 4.42.3 - Pytorch 2.2.2+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1

Ffftdtd5dtft/distilbert-base-uncased_repo

Ffftdtd5dtft

Entry not found

Krabat/Qwen-Qwen1.5-0.5B-1722632070

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

yukumohunter/sd-naruto-model

yukumohunter

Entry not found

shapers/Botnet2-1.5b-Pullback_CCI

shapers

transformers

text-generation

--- library_name: transformers tags: - llama-factory --- # 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]

Nutanix/starcoder2-7b_SFT_lora_8_alpha_16_humaneval_raw_json

Nutanix

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. 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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. 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edthrth/Some-want-to-require-landlords-to-provide-air-conditioning-11-updated

edthrth

--- language: - en --- []() read the full article here : https://data.iowadot.gov/groups/3a7f4b3629854b959b1753dda2ae1ed4 Source : https://data.lacounty.gov/groups/01c879a8e36b4c9f86a9e7be7855812d Flash News : https://data.lacounty.gov/groups/6d344617ead14e1daa121a7e53ea9f83 Biden last Talk : https://data.iowadot.gov/groups/aa49134337364a7f9e1dc249603220f0 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/a6643ceecfaf4860b3e471e755da15d3 Other Sources : https://data.lacounty.gov/groups/15a816ec1af1435e8f7735cb32493813 https://data.lacounty.gov/groups/772acd9e3e7343b39702eb8178436463 https://data.lacounty.gov/groups/191b8d8656c142079b74f5c2fefc1794 https://data.lacounty.gov/groups/868f77ef70e64bcda92341f6b0a46d32 https://data.lacounty.gov/groups/feaf2b038d744076b39cfed4f660a6e9 https://data.lacounty.gov/groups/5b3c7bd15b774bb4a24b283b971723f7 https://data.lacounty.gov/groups/ae8d0c1e810f421194d64d66db29ac36 https://data.lacounty.gov/groups/12c17845094645d7b70e59be8f7db1bd https://data.iowadot.gov/groups/22aba6f9a1fa4da8a9afff42196a879e https://data.lacounty.gov/groups/33ebc015df9f42998c9b464f180863c1 https://data.iowadot.gov/groups/6887af92d446414ab234be920970e80c https://data.lacounty.gov/groups/920ea0b30c7145bdb519839c098dc6d5 https://data.iowadot.gov/groups/0461d8400f6944b3b01a2d46bd4e2c1d https://data.lacounty.gov/groups/f8cf3d677f324e708859392bea6031d8 FRESNO, Calif. -- On a 114-degree day, May Yang was seeking relief -- from her own home. Her ground-floor, two-room apartment sits in direct sun for much of the day, making the inside unbearably hot, despite her air conditioner's feeble attempts to cool it down. In California and many other states, renters like Yang are entitled under the law to heating that maintains a minimum temperature during the winter. But there are few mandates nationwide -- including in California -- that require residences to stay below a certain temperature in the summer. As heat waves intensify in a warming world and a growing body of research shows the deadly effects of extreme heat, some renters, politicians, tenant advocates and environmental health experts are pushing for stronger hot weather protections, such as requiring rental units to be cooled to a certain temperature. Gary Allen, the supervising attorney at the Harvard Tenant Advocacy Project, said cold has long been considered life-threatening, but only recently have many thought of heat in the same way. "The rationale for heating standards is that low temperatures are recognized to constitute a risk to health," Allen said. Cold temperatures kill more people than hot temperatures. But the World Meteorological Institute says heat is the deadliest form of extreme weather -- which the world is seeing more of due to human-caused climate change. The effects of extreme heat are severe and have been linked to heart, kidney and respiratory failure. According to the Centers for Disease Control and Prevention, about a third of recorded heat-related deaths in the United States have occurred in people's homes between Jan. 1, 2018, and July 13, 2024. Under many state laws, if a rental unit comes with an air conditioner, landlords are required to keep it in working order -- but not cool the dwelling to a specific temperature. Most cooling policies exist on the city or county level. Phoenix, Dallas and New Orleans have ordinances that require landlords to keep residences cooled to certain temperatures. But Arizona, Texas and Louisiana do not have state-level laws mandating cooling. "We really haven't thought about cooling as a basic right or basic need," said David Konisky, a professor of environmental policy at Indiana University. "But I think it's something that we need to take into consideration." In some places that have been hit by major heat waves in recent years, officials are working toward enacting maximum temperature requirements or ensuring tenants have access to air conditioning. Oregon launched a program to subsidize air conditioning, but "when the number of applications exceeded the number of devices available, the state paused the application process to make sure all current requests could be fulfilled," said Amy Bacher, a communications officer at the Oregon Health Authority. New York City Council member Lincoln Restler proposed legislation this month that would mandate air conditioning for tenants citywide. If passed, the bill would require landlords to provide air conditioning capable of keeping apartments at 78 degrees when the temperature outside exceeds 82 degrees. "A landlord is required to provide a safe and habitable home for their tenant," he said. "There's just no way that an apartment without a cooling device is safe or habitable." In California, legislation to mandate a maximum safe indoor air temperature for residents stalled in 2022, but lawmakers are requiring the California Department of Housing and Community Development to craft policy recommendations on safe indoor temperatures. The department released draft recommendations in June that said the state "should consider a maximum safe indoor air temperature of 82 degrees Fahrenheit for newly-constructed residential dwelling units." Tenant advocates feel more needs be to done, especially for low-income renters. "I am hearing more and more from people that fans and evaporative coolers do nothing at all," said Phoebe Seaton, co-director of Leadership Counsel for Justice and Accountability, a community advocacy group that supported the California bill and opposed the draft recommendations. "If we fail to act, people will continue to get sick, miss school, work and other important life events, and even die due to prolonged heat exposure," she said. Fresno does not require property owners to provide air conditioners. If a dwelling has an air conditioner, the owner is required to maintain it. The city declined to comment on whether it would support legislation that included temperature mandates. "I just wish that one year the city of Fresno will require people to change to cooler AC," said Yang, 61, as she sat in a cooling center during record-breaking heat earlier this month. Temperatures in Fresno were an average of 10 degrees hotter than normal during the first half of July, according to National Weather Service data. Theresa Hollingsworth, who has lived in Fresno for more than 50 years, came to the cooling shelter with her two children and dog, Miley, who is named after Miley Cyrus. Their evaporative cooler, a system that uses water to make cool air and can be useful in climates with low humidity, like Fresno, wasn't standing up to the heat that Sunday. Two days later, the cooler broke. "Sleeping is very rough," Hollingsworth said. She had fans on but they were blowing nothing but hot air. The cooler was fixed within about 48 hours, she said. Intro subscription only $1.99 Eighty-nine percent of U.S. homes used some form of air conditioning as of 2020, according to the U.S. Energy Information Administration. But if any of them live in one of the nearly one-quarter of American homes that use noncentral cooling systems including window or evaporative units, they may not be getting effective use out of their devices, said C.J. Gabbe, an associate professor of environmental studies and science at Santa Clara University. "Just because you have some kind of AC, it doesn't mean you're going to be able to keep temperatures at a healthy level," Gabbe said. He said some residents with working units also may not run them because of the cost. "People who live in lowest income households tend to spend a bigger share of their income on cooling costs," Gabbe said. Julia Margarita Alonso, who lives in Cantua Creek, a rural community in Fresno County, has air conditioning in her home. "I don't turn it on as often because of high energy bills," she said. Once her bill was more than $300, she said. While a government program helped her partially pay the amount, she said she is still reluctant to run her air conditioner unless absolutely necessary. Energy costs could be an obstacle in trying to implement or enact these policies, experts said, and it's not yet clear who will shoulder them. Tom Bannon, chief executive of the California Apartment Association, which represents apartment owners and developers, said he would support any cooling mandate that would be entirely or heavily subsidized by the government, because of the significant cost of retrofitting older buildings to run air conditioning. California has hundreds of thousands of structures that were built before 1939, he said. He estimated the cost of increasing the electrical capacity of an old, single-family house in the Central Valley to accommodate one window unit would run between $2,000 and $3,000. The association did not support the 2022 cooling legislation because of its potential cost and worries that implementing a temperature mandate would open landlords up to lawsuits. "Am I going to find myself in court because I couldn't get the temperature down because I had an electrical problem?" Bannon said. He added that the group is involved in advising the state's housing department on its planned 2025 policy recommendations. Experts see other pitfalls with cooling mandates. "If a landlord is requiring AC, they might raise the rent," said Sanya Carley, a professor of energy policy at the University of Pennsylvania. "Once the rent is raised [residents] may curtail the electricity even more." Some advocates have decided not to push for maximum temperature rules. Roseann Bongiovanni, the executive director of Greenroots, an environmental justice organization based in Chelsea, Massachusetts., said her group has been working with the city to obtain grant funding for air conditioners and to make buildings in the city just north of Boston easier to cool. But, ultimately, providing air conditioning isn't a perfect fix, she said: Units are difficult to install, especially in older structures, and they are expensive to use. "We haven't pushed for policy statewide or greater-Bostonwide to mandate air conditioning," Bongiovanni said. State law requires owners to provide heating in the winter, but does not mandate air conditioning. In Fresno that Sunday, as the sun began to dip below the buildings, residents trickled outside, though the night offered little relief. Some sprayed themselves down with a garden hose. Others chatted with family on the outskirts of sprinkler mist. When the cooling centers close at 8 p.m., Yang goes home and takes a cold shower. In her apartment, she could feel the stickiness start to grip onto her bare arms and legs. It felt at least 10 degrees hotter than outside. "Sometimes it's so hot that I get a headache or grow dizzy," Yang said. She sleeps on her living room couch, where the heat is a little less oppressive. "When you sleep, it's suffocating," she added. Her window unit rattled in the background, set to as cold as it could go. "So I really hope they change that soon." Intro subscription only $1.99 Our journalism needs your support. Please become a subscriber today at The Bulletin, www.bendbulletin.com\/subscribe-now.....

Ffftdtd5dtft/gpt2_repo

Ffftdtd5dtft

Entry not found

sajaw/llama-2-7b-HeteroAraSquad-500-ar

sajaw

Entry not found

edthrth/Texas-youth-lockups-are-beset-by-abuse-and-mistreatment-of-children-report-says-2g-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/2f636c9996f54b00b2360ab517937bcd Source : https://data.lacounty.gov/groups/57003d2703314efdaa38e9d8764b9fc9 Flash News : https://data.iowadot.gov/groups/0461d8400f6944b3b01a2d46bd4e2c1d Biden last Talk : https://data.lacounty.gov/groups/f34691d7b8d344d28997367e15c9acdc Russian Ukrain Breaking News : https://data.iowadot.gov/groups/47a596132b744265a5cb58fd9589b637 Other Sources : https://data.lacounty.gov/groups/c8f68c5ab2804a1f87e8e3d28805883b https://data.lacounty.gov/groups/5ff19d3465cc40228709f73bce6432ef https://data.iowadot.gov/groups/07acb41d7bdb414ba78c9d34701d1145 https://data.iowadot.gov/groups/ca8244aaf4624c0e84731ff2009dc565 https://data.iowadot.gov/groups/6887af92d446414ab234be920970e80c https://data.lacounty.gov/groups/12c17845094645d7b70e59be8f7db1bd https://huggingface.co/edthrth/43-German-shepherds-seized-by-BC-SPCA-from-property-near-Prince-George-f3-updated https://data.lacounty.gov/groups/feaf2b038d744076b39cfed4f660a6e9 https://data.lacounty.gov/groups/b72c28855c804f939a361d2ae1889d42 https://data.iowadot.gov/groups/d204fdca49ea4344ba88574c069434df https://data.iowadot.gov/groups/01f3c942b4b44a8585262b0b42b6febd https://data.lacounty.gov/groups/bc1f2661f58b4d2fa0608ab91d72624b https://data.lacounty.gov/groups/9327acc6a34a4185bb315eca822bb27a https://data.lacounty.gov/groups/a515c3b6f9154667b06ca76be132ce16 This 2016 file photo shows the Gainesville State School for juveniles in Gainesville, Texas. Detainees in Texas' juvenile prisons suffer from frequent physical and sexual abuse, inadequate mental healthcare and high rates of staff turnover, two youth advocacy groups wrote in a federal complaint. The rights of the hundreds of youths detained in five secure facilities around the state continue to be violated, despite recent and long-standing efforts at reform, according to Texas Appleseed and Disability Rights Texas. Jae S. Lee\/Dallas Morning News via Associated Press file AUSTIN, Texas -- Youth lockups in Texas remain beset by sexual abuse, excessive use of pepper spray and other mistreatment including the prolonged isolation of children in their cells, the Justice Department said Thursday in a scathing report that accused the state of violating the constitutional rights of hundreds of juveniles in custody. The report comes three years after the department launched a federal investigation into alleged widespread abuse and harsh practices within the Texas Juvenile Justice Department, which takes in hundreds of young people every year. Staff in the detention centers have engaged in sexual acts with children, kept some for stretches of 17 to 22 hours of isolation in their cells and pepper sprayed children in their faces, U.S. Assistant Attorney General Kristin Clarke said in releasing the report. Clarke also noted that about 80% of Texas children in the lockups are Black or Hispanic. "This is a racial justice issue," she said. "Our children deserve to be protected from harm and access to essential services." In a statement, the state juvenile justice department said it has a "zero-tolerance" policy toward abuse and neglect and had worked closely with federal investigators during their site visit in 2022. Advertisement Spokespeople for Republican Gov. Greg Abbott's office did not immediately return emails seeking comment Thursday. The governor's office said it would cooperate with the federal investigation when it launched. Mental health concerns, such as suicidal ideation and self-harm, were ignored while children were routinely punished for their behavior, according to the federal report. The facilities' inability to address or treat these issues was a violation of the Individuals with Disabilities Education Act, officials said during the announcement. The Justice Department said in the report that it looks forward to cooperating with the state to address the violations while also raising the potential of a federal lawsuit. "This report makes clear that we are failing our youth, that we are not providing the care they need to be successful," the founder and chief executive officer of Lone Star Justice Alliance, a youth justice advocacy group, Elizabeth Henneke said. "The Texas legislature has to respond with urgency. It's not that they haven't been responding, because they have. But it hasn't been enough." In 2021, the Justice Department opened an investigation into Texas' five juvenile facilities after advocates filed a complaint. About 900 youth are detained in understaffed and outdated juvenile facilities across the state, Henneke said, adding that the problems they face in the lockups highlight structural challenges including a lack of resources at state and local levels. She said judges and lawmakers should think creatively about other rehabilitation efforts because mistreatment at facilities only exacerbates trauma in young people. Texas is not the only state facing federal investigations by the government, or lawsuits from former incarcerated children over harsh conditions in youth lockups. Clark announced in May a federal probe of conditions in Kentucky's youth detention centers after a state report found problems with the use of force and isolation techniques. Lawsuits have been filed this year in Illinois, Pennsylvania, Maryland, and New Jersey alleging harsh treatment of incarcerated children. Copy the Story Link Send questions\/comments to the editors. " Previous ACLU sues Washington state city over its anti-homeless laws after a landmark Supreme Court ruling Next " Matt Judon back at practice for Patriots with contract issues still looming filed under: juvenile justice, Texas Related Stories Latest Articles....

Nutanix/starcoder2-7b_SFT_lora_8_alpha_16_humaneval_llm_processed_json

Nutanix

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]

sgerhart/Meta-Llama-3.1-8B-Q4_K_M-GGUF

sgerhart

transformers

text-generation

--- base_model: meta-llama/Meta-Llama-3.1-8B language: - en - de - fr - it - pt - hi - es - th library_name: transformers license: llama3.1 pipeline_tag: text-generation tags: - facebook - meta - pytorch - llama - llama-3 - llama-cpp - gguf-my-repo extra_gated_prompt: "### LLAMA 3.1 COMMUNITY LICENSE AGREEMENT\nLlama 3.1 Version\ \ Release Date: July 23, 2024\n\"Agreement\" means the terms and conditions for\ \ use, reproduction, distribution and modification of the Llama Materials set forth\ \ herein.\n\"Documentation\" means the specifications, manuals and documentation\ \ accompanying Llama 3.1 distributed by Meta at https://llama.meta.com/doc/overview.\n\ \"Licensee\" or \"you\" means you, or your employer or any other person or entity\ \ (if you are entering into this Agreement on such person or entity’s behalf), of\ \ the age required under applicable laws, rules or regulations to provide legal\ \ consent and that has legal authority to bind your employer or such other person\ \ or entity if you are entering in this Agreement on their behalf.\n\"Llama 3.1\"\ \ means the foundational large language models and software and algorithms, including\ \ machine-learning model code, trained model weights, inference-enabling code, training-enabling\ \ code, fine-tuning enabling code and other elements of the foregoing distributed\ \ by Meta at https://llama.meta.com/llama-downloads.\n\"Llama Materials\" means,\ \ collectively, Meta’s proprietary Llama 3.1 and Documentation (and any portion\ \ thereof) made available under this Agreement.\n\"Meta\" or \"we\" means Meta Platforms\ \ Ireland Limited (if you are located in or, if you are an entity, your principal\ \ place of business is in the EEA or Switzerland) and Meta Platforms, Inc. (if you\ \ are located outside of the EEA or Switzerland).\n \n1. License Rights and Redistribution.\n\ a. Grant of Rights. You are granted a non-exclusive, worldwide, non-transferable\ \ and royalty-free limited license under Meta’s intellectual property or other rights\ \ owned by Meta embodied in the Llama Materials to use, reproduce, distribute, copy,\ \ create derivative works of, and make modifications to the Llama Materials.\nb.\ \ Redistribution and Use.\ni. If you distribute or make available the Llama Materials\ \ (or any derivative works thereof), or a product or service (including another\ \ AI model) that contains any of them, you shall (A) provide a copy of this Agreement\ \ with any such Llama Materials; and (B) prominently display “Built with Llama”\ \ on a related website, user interface, blogpost, about page, or product documentation.\ \ If you use the Llama Materials or any outputs or results of the Llama Materials\ \ to create, train, fine tune, or otherwise improve an AI model, which is distributed\ \ or made available, you shall also include “Llama” at the beginning of any such\ \ AI model name.\nii. If you receive Llama Materials, or any derivative works thereof,\ \ from a Licensee as part of an integrated end user product, then Section 2 of\ \ this Agreement will not apply to you.\niii. You must retain in all copies of the\ \ Llama Materials that you distribute the following attribution notice within a\ \ “Notice” text file distributed as a part of such copies: “Llama 3.1 is licensed\ \ under the Llama 3.1 Community License, Copyright © Meta Platforms, Inc. All Rights\ \ Reserved.”\niv. Your use of the Llama Materials must comply with applicable laws\ \ and regulations (including trade compliance laws and regulations) and adhere to\ \ the Acceptable Use Policy for the Llama Materials (available at https://llama.meta.com/llama3_1/use-policy),\ \ which is hereby incorporated by reference into this Agreement.\n2. Additional\ \ Commercial Terms. If, on the Llama 3.1 version release date, the monthly active\ \ users of the products or services made available by or for Licensee, or Licensee’s\ \ affiliates, is greater than 700 million monthly active users in the preceding\ \ calendar month, you must request a license from Meta, which Meta may grant to\ \ you in its sole discretion, and you are not authorized to exercise any of the\ \ rights under this Agreement unless or until Meta otherwise expressly grants you\ \ such rights.\n3. Disclaimer of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE\ \ LLAMA MATERIALS AND ANY OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN “AS IS”\ \ BASIS, WITHOUT WARRANTIES OF ANY KIND, AND META DISCLAIMS ALL WARRANTIES OF ANY\ \ KIND, BOTH EXPRESS AND IMPLIED, INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES\ \ OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.\ \ YOU ARE SOLELY RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS OF USING OR REDISTRIBUTING\ \ THE LLAMA MATERIALS AND ASSUME ANY RISKS ASSOCIATED WITH YOUR USE OF THE LLAMA\ \ MATERIALS AND ANY OUTPUT AND RESULTS.\n4. Limitation of Liability. IN NO EVENT\ \ WILL META OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY OF LIABILITY, WHETHER IN\ \ CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE, ARISING OUT OF THIS\ \ AGREEMENT, FOR ANY LOST PROFITS OR ANY INDIRECT, SPECIAL, CONSEQUENTIAL, INCIDENTAL,\ \ EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF META OR ITS AFFILIATES HAVE BEEN ADVISED\ \ OF THE POSSIBILITY OF ANY OF THE FOREGOING.\n5. Intellectual Property.\na. No\ \ trademark licenses are granted under this Agreement, and in connection with the\ \ Llama Materials, neither Meta nor Licensee may use any name or mark owned by or\ \ associated with the other or any of its affiliates, except as required for reasonable\ \ and customary use in describing and redistributing the Llama Materials or as set\ \ forth in this Section 5(a). Meta hereby grants you a license to use “Llama” (the\ \ “Mark”) solely as required to comply with the last sentence of Section 1.b.i.\ \ You will comply with Meta’s brand guidelines (currently accessible at https://about.meta.com/brand/resources/meta/company-brand/\ \ ). All goodwill arising out of your use of the Mark will inure to the benefit\ \ of Meta.\nb. Subject to Meta’s ownership of Llama Materials and derivatives made\ \ by or for Meta, with respect to any derivative works and modifications of the\ \ Llama Materials that are made by you, as between you and Meta, you are and will\ \ be the owner of such derivative works and modifications.\nc. If you institute\ \ litigation or other proceedings against Meta or any entity (including a cross-claim\ \ or counterclaim in a lawsuit) alleging that the Llama Materials or Llama 3.1 outputs\ \ or results, or any portion of any of the foregoing, constitutes infringement of\ \ intellectual property or other rights owned or licensable by you, then any licenses\ \ granted to you under this Agreement shall terminate as of the date such litigation\ \ or claim is filed or instituted. You will indemnify and hold harmless Meta from\ \ and against any claim by any third party arising out of or related to your use\ \ or distribution of the Llama Materials.\n6. Term and Termination. The term of\ \ this Agreement will commence upon your acceptance of this Agreement or access\ \ to the Llama Materials and will continue in full force and effect until terminated\ \ in accordance with the terms and conditions herein. Meta may terminate this Agreement\ \ if you are in breach of any term or condition of this Agreement. Upon termination\ \ of this Agreement, you shall delete and cease use of the Llama Materials. Sections\ \ 3, 4 and 7 shall survive the termination of this Agreement.\n7. Governing Law\ \ and Jurisdiction. This Agreement will be governed and construed under the laws\ \ of the State of California without regard to choice of law principles, and the\ \ UN Convention on Contracts for the International Sale of Goods does not apply\ \ to this Agreement. The courts of California shall have exclusive jurisdiction\ \ of any dispute arising out of this Agreement.\n### Llama 3.1 Acceptable Use Policy\n\ Meta is committed to promoting safe and fair use of its tools and features, including\ \ Llama 3.1. If you access or use Llama 3.1, you agree to this Acceptable Use Policy\ \ (“Policy”). The most recent copy of this policy can be found at [https://llama.meta.com/llama3_1/use-policy](https://llama.meta.com/llama3_1/use-policy)\n\ #### Prohibited Uses\nWe want everyone to use Llama 3.1 safely and responsibly.\ \ You agree you will not use, or allow others to use, Llama 3.1 to:\n 1. Violate\ \ the law or others’ rights, including to:\n 1. Engage in, promote, generate,\ \ contribute to, encourage, plan, incite, or further illegal or unlawful activity\ \ or content, such as:\n 1. Violence or terrorism\n 2. Exploitation\ \ or harm to children, including the solicitation, creation, acquisition, or dissemination\ \ of child exploitative content or failure to report Child Sexual Abuse Material\n\ \ 3. Human trafficking, exploitation, and sexual violence\n 4. The\ \ illegal distribution of information or materials to minors, including obscene\ \ materials, or failure to employ legally required age-gating in connection with\ \ such information or materials.\n 5. Sexual solicitation\n 6. Any\ \ other criminal activity\n 3. Engage in, promote, incite, or facilitate the\ \ harassment, abuse, threatening, or bullying of individuals or groups of individuals\n\ \ 4. Engage in, promote, incite, or facilitate discrimination or other unlawful\ \ or harmful conduct in the provision of employment, employment benefits, credit,\ \ housing, other economic benefits, or other essential goods and services\n 5.\ \ Engage in the unauthorized or unlicensed practice of any profession including,\ \ but not limited to, financial, legal, medical/health, or related professional\ \ practices\n 6. Collect, process, disclose, generate, or infer health, demographic,\ \ or other sensitive personal or private information about individuals without rights\ \ and consents required by applicable laws\n 7. Engage in or facilitate any action\ \ or generate any content that infringes, misappropriates, or otherwise violates\ \ any third-party rights, including the outputs or results of any products or services\ \ using the Llama Materials\n 8. Create, generate, or facilitate the creation\ \ of malicious code, malware, computer viruses or do anything else that could disable,\ \ overburden, interfere with or impair the proper working, integrity, operation\ \ or appearance of a website or computer system\n2. Engage in, promote, incite,\ \ facilitate, or assist in the planning or development of activities that present\ \ a risk of death or bodily harm to individuals, including use of Llama 3.1 related\ \ to the following:\n 1. Military, warfare, nuclear industries or applications,\ \ espionage, use for materials or activities that are subject to the International\ \ Traffic Arms Regulations (ITAR) maintained by the United States Department of\ \ State\n 2. Guns and illegal weapons (including weapon development)\n 3.\ \ Illegal drugs and regulated/controlled substances\n 4. Operation of critical\ \ infrastructure, transportation technologies, or heavy machinery\n 5. Self-harm\ \ or harm to others, including suicide, cutting, and eating disorders\n 6. Any\ \ content intended to incite or promote violence, abuse, or any infliction of bodily\ \ harm to an individual\n3. Intentionally deceive or mislead others, including use\ \ of Llama 3.1 related to the following:\n 1. Generating, promoting, or furthering\ \ fraud or the creation or promotion of disinformation\n 2. Generating, promoting,\ \ or furthering defamatory content, including the creation of defamatory statements,\ \ images, or other content\n 3. Generating, promoting, or further distributing\ \ spam\n 4. Impersonating another individual without consent, authorization,\ \ or legal right\n 5. Representing that the use of Llama 3.1 or outputs are human-generated\n\ \ 6. Generating or facilitating false online engagement, including fake reviews\ \ and other means of fake online engagement\n4. Fail to appropriately disclose to\ \ end users any known dangers of your AI system\nPlease report any violation of\ \ this Policy, software “bug,” or other problems that could lead to a violation\ \ of this Policy through one of the following means:\n * Reporting issues with\ \ the model: [https://github.com/meta-llama/llama-models/issues](https://github.com/meta-llama/llama-models/issues)\n\ \ * Reporting risky content generated by the model:\n developers.facebook.com/llama_output_feedback\n\ \ * Reporting bugs and security concerns: facebook.com/whitehat/info\n * Reporting\ \ violations of the Acceptable Use Policy or unlicensed uses of Meta Llama 3: LlamaUseReport@meta.com" extra_gated_fields: First Name: text Last Name: text Date of birth: date_picker Country: country Affiliation: text Job title: type: select options: - Student - Research Graduate - AI researcher - AI developer/engineer - Reporter - Other geo: ip_location ? By clicking Submit below I accept the terms of the license and acknowledge that the information I provide will be collected stored processed and shared in accordance with the Meta Privacy Policy : checkbox extra_gated_description: The information you provide will be collected, stored, processed and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/). extra_gated_button_content: Submit --- # sgerhart/Meta-Llama-3.1-8B-Q4_K_M-GGUF This model was converted to GGUF format from [`meta-llama/Meta-Llama-3.1-8B`](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. Refer to the [original model card](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) for more details on the model. ## Use with llama.cpp Install llama.cpp through brew (works on Mac and Linux) ```bash brew install llama.cpp ``` Invoke the llama.cpp server or the CLI. ### CLI: ```bash llama-cli --hf-repo sgerhart/Meta-Llama-3.1-8B-Q4_K_M-GGUF --hf-file meta-llama-3.1-8b-q4_k_m.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo sgerhart/Meta-Llama-3.1-8B-Q4_K_M-GGUF --hf-file meta-llama-3.1-8b-q4_k_m.gguf -c 2048 ``` Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well. Step 1: Clone llama.cpp from GitHub. ``` git clone https://github.com/ggerganov/llama.cpp ``` Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux). ``` cd llama.cpp && LLAMA_CURL=1 make ``` Step 3: Run inference through the main binary. ``` ./llama-cli --hf-repo sgerhart/Meta-Llama-3.1-8B-Q4_K_M-GGUF --hf-file meta-llama-3.1-8b-q4_k_m.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo sgerhart/Meta-Llama-3.1-8B-Q4_K_M-GGUF --hf-file meta-llama-3.1-8b-q4_k_m.gguf -c 2048 ```

RichardErkhov/EleutherAI_-_pythia-12b-gguf

RichardErkhov

Entry not found

Nutanix/starcoder2-7b_SFT_lora_16_alpha_16_humaneval_raw_json

Nutanix

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

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/55d9ca98c5d142fe954618c9b23e28e3 Source : https://data.lacounty.gov/groups/90223d3d1387480398ab22e9a25b20bd Flash News : https://data.lacounty.gov/groups/b4c93e94ca0d4fceb887ab65b80c2c08 Biden last Talk : https://data.iowadot.gov/groups/37b2424f3a794a29b07ae1eda9795f9f Russian Ukrain Breaking News : https://data.lacounty.gov/groups/920ea0b30c7145bdb519839c098dc6d5 Other Sources : https://data.lacounty.gov/groups/9b7604f0767a47d0984491a1e824edc0 https://data.iowadot.gov/groups/bfccfe57a2f24cf9ab181f40894cc8f5 https://data.iowadot.gov/groups/6887af92d446414ab234be920970e80c https://data.lacounty.gov/groups/c6e2f0d1891241d497c6c03216a7e2d5 https://data.lacounty.gov/groups/bfb0cf172a2842d2a1fb80164decfefc https://data.iowadot.gov/groups/155c6394e27a47268292a6a7b320a22d https://data.iowadot.gov/groups/cc4cbe3d97544a68b8d581a478ae1a38 https://data.lacounty.gov/groups/d777d94051db48f1a84d814cfbe5be85 https://data.lacounty.gov/groups/f7e1481e87de402b9da40153f0b59904 https://data.iowadot.gov/groups/06a00cdd1e164a25bf09ff3cda45a039 https://data.lacounty.gov/groups/8fe8902bcf844efda8796b929b32e4ce https://data.lacounty.gov/groups/7164aa1108734b91a3b6a2514b3b1bf6 https://data.iowadot.gov/groups/7836289a5f834421acb640d5242b3ea6 https://data.iowadot.gov/groups/3a7f4b3629854b959b1753dda2ae1ed4 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-Qwen1.5-1.8B-1722632330

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/The-implications-of-the-wideranging-Russia-prisoner-deal-Washington-Examiner-4h-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/6fb4ae28f4a7439897272faaf1eae5d5 Source : https://data.iowadot.gov/groups/22aba6f9a1fa4da8a9afff42196a879e Flash News : https://data.lacounty.gov/groups/bea484f911a94a2ea5a9ddb04a15ea4a Biden last Talk : https://data.iowadot.gov/groups/bfccfe57a2f24cf9ab181f40894cc8f5 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/f8cf3d677f324e708859392bea6031d8 Other Sources : https://data.lacounty.gov/groups/914ecd47a1dc423b9662e1aea759db13 https://data.iowadot.gov/groups/6887af92d446414ab234be920970e80c https://huggingface.co/edthrth/43-German-shepherds-seized-by-BC-SPCA-from-property-near-Prince-George-5d-updated https://data.iowadot.gov/groups/45fd6b1056474423bba054f28b3083fa https://data.iowadot.gov/groups/bfccfe57a2f24cf9ab181f40894cc8f5 https://data.lacounty.gov/groups/bfab507453c44cd0a81dbdae69305fcd https://data.lacounty.gov/groups/a61893ea71f749928f5ff962cb539c00 https://data.lacounty.gov/groups/e48471cdff1d4ce78d9d3e1b947ef7a5 https://data.lacounty.gov/groups/272302a0149a489ebd9b85dee7fe6606 https://data.iowadot.gov/groups/7f779820ce514ffc8e2a5c015702a9a5 https://data.lacounty.gov/groups/c5672fe31b7649e5859b3523fa4a4e95 https://data.lacounty.gov/groups/feaf2b038d744076b39cfed4f660a6e9 https://data.lacounty.gov/groups/ef97a3a00db74849b200c7befe7977ae https://data.iowadot.gov/groups/d11d07b72bc24225b661cb4f5d6c9fba The Biden administration spent several months working with European allies to configure an arrangement that would entice the Kremlin into releasing several foreigners, including Americans, and political dissidents who were in Russian prisons. The culmination of those months of back and forth became a reality on Wednesday when President Joe Biden announced the impending return of several Americans, while some details of the deal may still trickle out. The United States, Germany, Slovenia, and Norway all agreed to release a total of eight Russians, all of whom had been arrested and in some cases charged and sentenced, in exchange for the release of 16 people, including four Americans, four Germans, and seven Russian political prisoners. Belarus also released a German individual as a part of the deal. The prisoners held in Russia flew to Ankara, Turkey, bringing another country in the execution of the deal. The deal amounts to the largest exchange of prisoners between Russia and the West since the Cold War. The U.S. secured the release of three Americans and a green card holder: Paul Whelan, a former Marine who was first detained in 2018; Evan Gershkovich, a Wall Street Journal reporter; Alsu Kurmasheva, a reporter for Radio Free Europe\/Radio Liberty, and Russian dissident and journalist Vladimir Kara-Marza. "The execution phase of this, to get this level of coordination together to have those planes all land on the tarmac at the same time from multiple different countries, with so many different individuals coming from Russia and going back to Russia, really extraordinary," U.S. national security adviser Jake Sullivan told reporters. Vadim Krasikov is viewed as Russia's prized return for the large swap. The former high-ranking FSB colonel was convicted of murdering a former Chechen fighter in Berlin in 2019 and was later sentenced to life in prison. His inclusion in a deal was critical to securing Russia's willingness to do this proposal. Sullivan said after several rounds of negotiating, it became apparent that Krasikov was "a key." The U.S. and Kremlin had agreed to two separate prisoner swaps in 2020, which in totality secured the release of Brittney Griner and Trevor Reed in exchange for Konstantin Yaroshenko and a notorious arms dealer, Viktor Bout. Whelan, who was detained before Griner or Reed, was not included in either deal. The U.S. continued trying to secure his release, but Russia had indicated its desire to get Krasikov returned, pulling Germany into the negotiations at a minimum. The negotiations had been going on for so long that Russian dissident Alexei Navalny was a part of these discussions before he died in February. A German government spokesman, Steffen Hebestreit, said they "did not take this decision lightly" to give him up in the deal. Biden, in announcing it, singled out German Chancellor Olaf Scholz's role in the deal as he praised the alliances and relationships between the U.S. and several European allies that made this agreement a reality. "I particularly owe a great sense of gratitude to the -- the chancellor. The demands they were making of me required me to get some significant concessions from Germany, which they originally concluded they could not do because of the person in question," Biden said, surrounded by the families of the Americans on their way home. "But everybody stepped up. Poland stepped up. Slovenia stepped up. Turkey stepped up. And it matters to have relationships. It really does. These things matter." It's unclear what incentivized the Slovenians and Norwegians to release two Russians apiece as a part of the deal. The U.S. government faces difficult questions when considering proposals regarding the release of Americans detained abroad. Often in these cases, Americans have been unfairly arrested in foreign countries that are seeking to hold them as bargaining chips to use in negotiations, often to get convicted criminals released in return. Detractors of these deals argue that agreeing to such an arrangement further incentivizes bad actors to take more Americans to use them in more deals. The phenomenon is known as "hostage diplomacy." House Armed Services Committee Chairman Mike Rogers (R-AL) celebrated the release of the Americans but expressed concern that "the Biden-Harris administration has allowed dangerous Russian criminals to go free, including an assassin and an operator of illicit procurement networks for the Russian military." He added that the administration "must explain how they will deter Putin and other American adversaries from exploiting hostage-taking to exact leverage over the United States. Otherwise there will be many more innocent Americans behind bars." CLICK HERE TO READ MORE FROM THE WASHINGTON EXAMINER U.S. Special Presidential Envoy for Hostage Affairs Roger Carstens said last month that the "numbers just don't support" the argument that making the deals actually results in more Americans detained overseas, noting, "If you don't make these deals, people just don't come home. So you've got to picture it; people that you love, your son, your daughter, your wife, your husband, your grandfather, they get arrested, they're thrown in jail and the United States says, 'well we don't make deals but there's no alternatives.'" The administration was unable to secure the release of Marc Fogel, an American in a Russian prison on drug charges. Sullivan, during Thursday's briefing, referred to him as wrongfully detained, which was the first time a member of the administration has given him that designation and would put his case under Carsten's purview.....

RichardErkhov/eren23_-_Experiment26-12B-gguf

RichardErkhov

Entry not found

Nutanix/starcoder2-7b_SFT_lora_16_alpha_16_humaneval_llm_processed_json

Nutanix

transformers

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Nutanix/starcoder2-7b_SFT_lora_32_alpha_16_humaneval_raw_json

Nutanix

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. 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edthrth/43-German-shepherds-seized-by-BC-SPCA-from-property-near-Prince-George-3f-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/c309c0da93854b8eafc36afefead32d8 Source : https://data.lacounty.gov/groups/99331a60b07244858b51c86d31dd393d Flash News : https://data.lacounty.gov/groups/8682f6ae93bf4ad7839cb6dbd91d04b9 Biden last Talk : https://data.lacounty.gov/groups/3b4628f4ee0b4976ab77f113248d1f72 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/6fb4ae28f4a7439897272faaf1eae5d5 Other Sources : https://data.iowadot.gov/groups/0096249e6fff4c509088787477f8568e https://data.iowadot.gov/groups/cc4cbe3d97544a68b8d581a478ae1a38 https://data.lacounty.gov/groups/b4c93e94ca0d4fceb887ab65b80c2c08 https://data.lacounty.gov/groups/feaf2b038d744076b39cfed4f660a6e9 https://data.iowadot.gov/groups/d204fdca49ea4344ba88574c069434df https://data.lacounty.gov/groups/8fe8902bcf844efda8796b929b32e4ce https://data.lacounty.gov/groups/e8b9788ce9b5414b976c8fe50d77c956 https://data.lacounty.gov/groups/f3767f687c3748008bfb24866d36d3a2 https://data.lacounty.gov/groups/3e565394dda9416f924636520bc5b905 https://data.iowadot.gov/groups/994af2af6af04d9e907c616b9b732e93 https://data.lacounty.gov/groups/191b8d8656c142079b74f5c2fefc1794 https://data.iowadot.gov/groups/7f779820ce514ffc8e2a5c015702a9a5 https://data.lacounty.gov/groups/868f77ef70e64bcda92341f6b0a46d32 https://data.lacounty.gov/groups/18cd7b1edcee4a089f52c85c24275352 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.....

edthrth/Early-years-needs-urgent-attention-as-focus-too-often-on-parents-report-5b-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/ae8d0c1e810f421194d64d66db29ac36 Source : https://data.lacounty.gov/groups/c309c0da93854b8eafc36afefead32d8 Flash News : https://data.lacounty.gov/groups/57003d2703314efdaa38e9d8764b9fc9 Biden last Talk : https://data.lacounty.gov/groups/f7e1481e87de402b9da40153f0b59904 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/630d6f421529474da309c736f555549d Other Sources : https://data.lacounty.gov/groups/18cd7b1edcee4a089f52c85c24275352 https://data.lacounty.gov/groups/64e4a44a6aed433dabd5a3e7c2df6dd5 https://data.lacounty.gov/groups/18cd7b1edcee4a089f52c85c24275352 https://data.lacounty.gov/groups/17c95b16327042548d720aa972bc0e3e https://data.lacounty.gov/groups/eb1fcb15716942438e22ebb1e0e0fa0c https://data.iowadot.gov/groups/155c6394e27a47268292a6a7b320a22d https://data.lacounty.gov/groups/2e4cddeb6f494454966b4bb33b99808f https://data.lacounty.gov/groups/fd360d56668e47198ce687b436be3857 https://data.lacounty.gov/groups/15a816ec1af1435e8f7735cb32493813 https://data.lacounty.gov/groups/99331a60b07244858b51c86d31dd393d https://data.iowadot.gov/groups/aa49134337364a7f9e1dc249603220f0 https://data.lacounty.gov/groups/c6e2f0d1891241d497c6c03216a7e2d5 https://data.iowadot.gov/groups/e4279e19431d47df85e7109a01099d31 https://data.lacounty.gov/groups/f8cf3d677f324e708859392bea6031d8 The report said health visitors must be given the power to trigger joint visits from social care specialists. 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."....

lapp0/gpt2_bitnet_logit_distillation_test_metrics

lapp0

Entry not found

Nutanix/starcoder2-7b_SFT_lora_32_alpha_16_humaneval_llm_processed_json

Nutanix

transformers

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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. 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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]