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

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/93a3a2660c274b478cbf762ff0750f5f Source : https://data.iowadot.gov/groups/e4279e19431d47df85e7109a01099d31 Flash News : https://data.iowadot.gov/groups/96ff76bea11747f3b0b9f0193f047b1d Biden last Talk : https://data.lacounty.gov/groups/17c95b16327042548d720aa972bc0e3e Russian Ukrain Breaking News : https://data.iowadot.gov/groups/0461d8400f6944b3b01a2d46bd4e2c1d Other Sources : https://data.lacounty.gov/groups/914ecd47a1dc423b9662e1aea759db13 https://data.lacounty.gov/groups/ab2c44c67c78400aaabfaa414f2deffb https://data.lacounty.gov/groups/c8f68c5ab2804a1f87e8e3d28805883b https://data.iowadot.gov/groups/37b2424f3a794a29b07ae1eda9795f9f https://data.iowadot.gov/groups/47a596132b744265a5cb58fd9589b637 https://data.lacounty.gov/groups/646ddebfd5da4cd587ca71ef5fa25109 https://data.lacounty.gov/groups/cd3a7d916fe949f8829399b2656442e0 https://data.lacounty.gov/groups/bfab507453c44cd0a81dbdae69305fcd https://data.iowadot.gov/groups/155c6394e27a47268292a6a7b320a22d https://data.lacounty.gov/groups/2e4cddeb6f494454966b4bb33b99808f https://data.lacounty.gov/groups/b4c93e94ca0d4fceb887ab65b80c2c08 https://data.lacounty.gov/groups/272302a0149a489ebd9b85dee7fe6606 https://data.lacounty.gov/groups/2e4cddeb6f494454966b4bb33b99808f https://data.iowadot.gov/groups/d11d07b72bc24225b661cb4f5d6c9fba As previously reported, the Home Office announced last week that it will not renew the contract for the barge, which is being used to house asylum seekers at Portland Port while their claims are processed, when it ends in January. READ MORE: Bibby Stockholm barge to close in Dorset, Home Office says The announcement raised questions over the future of the asylum seekers still living on the barge. The asylum seekers will remain on the barge until January whilst their asylum claims are processed. If successful they are entitled to live wherever they want, which could include Dorset. Cllr Nick Ireland said: "I would like to think that, by January, the barge will be empty. I imagine they won't be repopulating it until then. "That is not to say that the Home Office couldn't then hire a hotel to house asylum seekers, but like the barge, that would be out of our control." "The way it has worked so far is that the people who are on board the barge are at an advanced stage of their asylum claims being processed. "The agreement with the Home Office and Portland Port is that they are removed from the barge before the final decision is made, I don't know where they are moved to but it is not in Dorset. "Dorset Council therefore has no responsibility to house them, as they are moved out of the county before the decision is made. "People who are still awaiting decisions do not currently have a right to reside in the UK, those people are not Dorset Council's responsibility, they are a matter for the Home Office. "I don't think there is any risk of Dorset Council having to house asylum seekers once their claims are successful and our housing list is big enough as it is. The Labour party has announced plans to try to speed up the asylum system and new South Dorset MP Lloyd Hatton said the plans are to resolve all the claims of the men on the barge before it is closed. Mr Hatton said: "The reason why there are people on the barge is that no one had dealt with their cases. "It is not about continuing to move people around, it is trying to deal with the backlog of cases. "The cases of the individuals on the barge are now being processed with extreme urgency. "In many cases, some of these people have been in the UK for two or three years and this is the second or third site they have been housed in. "It is not about giving them a fourth, fifth or sixth place, we want the claims finished with." A Home Office spokesperson added that clearing the backlog and reducing the number of people on the barge was the "priority". The spokesperson said that if the barge still has occupants remaining, that some people may be relocated to hotels in Dorset. Once the claims are processed, asylum seekers with successful claims will be able to live and work in the UK, whilst those with unsuccessful claims will be removed from the country "as soon as possible\....

nimocodes/harrlogos

nimocodes

Entry not found

lazertorp/Qwen-Qwen1.5-1.8B-1722628260

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

Krabat/google-gemma-2b-1722628277

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

R-uslan/RS_fine_tune

R-uslan

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:** R-uslan - **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)

Nutanix/phi-2_SFT_lora_16_alpha_16_mbpp_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]

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

edthrth

--- language: - en --- []() read the full article here : https://data.iowadot.gov/groups/dd9c5e03371846ab95df5e86e0affe06 Source : https://data.lacounty.gov/groups/973c51906a744b23897c135afcea7044 Flash News : https://data.lacounty.gov/groups/90223d3d1387480398ab22e9a25b20bd Biden last Talk : https://data.lacounty.gov/groups/7164aa1108734b91a3b6a2514b3b1bf6 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/93a3a2660c274b478cbf762ff0750f5f Other Sources : https://data.iowadot.gov/groups/7836289a5f834421acb640d5242b3ea6 https://data.iowadot.gov/groups/9b3049d821174fa2827941eb6ca93618 https://data.lacounty.gov/groups/f34691d7b8d344d28997367e15c9acdc https://data.lacounty.gov/groups/33ebc015df9f42998c9b464f180863c1 https://data.lacounty.gov/groups/dd48cfeaebf0450d9478e312a64f18dc https://data.lacounty.gov/groups/c8f68c5ab2804a1f87e8e3d28805883b https://data.lacounty.gov/groups/be8bfad9c79d482aa4e33bca0513e909 https://data.iowadot.gov/groups/dd9c5e03371846ab95df5e86e0affe06 https://data.lacounty.gov/groups/e85144fa94184e51afc75ffcbb8a3c6b https://data.lacounty.gov/groups/2f636c9996f54b00b2360ab517937bcd https://data.iowadot.gov/groups/aa49134337364a7f9e1dc249603220f0 https://data.lacounty.gov/groups/bfb0cf172a2842d2a1fb80164decfefc https://data.lacounty.gov/groups/973c51906a744b23897c135afcea7044 https://data.iowadot.gov/groups/3a7f4b3629854b959b1753dda2ae1ed4 An air ambulance was scrambled after man in his 60s was assaulted near a busy supermarket. Police officers, two ambulances, the Dorset and Somerset Air Ambulance and an operations officer all rushed to the area of West Bay Road, Bridport, following the incident near to Morrisons supermarket. It is understood the man was treated on scene by the ambulance service for head injuries that he sustained yesterday. A man in his 30s has been arrested on suspicion of assault occasioning actual bodily harm. A spokesperson for Dorset Police said at the time: "We received a report at 12.57pm that a man had sustained injuries following an assault that is believed to have occurred near to the Morrisons supermarket off West Bay Road in Bridport. "Officers attended and the victim, a man aged in his 60s, was treated by the ambulance service for injuries that were not believed to be serious. "A man aged in his 30s was arrested on suspicion of assault occasioning actual bodily harm. "Officers remain in the area carrying out enquiries and our investigation is ongoing." A spokesperson for Dorset and Somerset Air Ambulance said: "I can confirm that Dorset and Somerset Air Ambulance attended an incident in Bridport today reported as an adult male with a head injury. "Our critical care team assisted on scene, before the patient was conveyed to hospital by our South Western Ambulance Service NHS Foundation Trust colleagues in a road ambulance. "The team we provided consisted of a doctor and specialist practitioner in critical care, both of whom specialise in pre-hospital emergency medicine. The aircraft was crewed as usual, by a pilot and co-pilot." A spokesperson for the South Western Ambulance Service NHS Foundation Trust (SWASFT) said: "We were called at 12.09pm on Thursday, August 1 to an incident in Bridport. "We sent two double-crewed land ambulances, an air ambulance, and an operations officer to the scene."....

ashishkgpian/BioLlama_codes

ashishkgpian

transformers

text-generation

--- base_model: unsloth/Meta-Llama-3.1-8B-bnb-4bit language: - en license: apache-2.0 tags: - text-generation-inference - transformers - unsloth - llama - trl - sft --- # Uploaded model - **Developed by:** ashishkgpian - **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)

edthrth/43-German-shepherds-seized-by-BC-SPCA-from-property-near-Prince-George-a5-updated

edthrth

--- language: - en --- []() read the full article here : https://data.iowadot.gov/groups/d11d07b72bc24225b661cb4f5d6c9fba Source : https://data.lacounty.gov/groups/8b905fa804674c33b001c9bd25e57cec Flash News : https://huggingface.co/edthrth/Father-donates-13yearold-daughters-organs-after-kins-death-inspires-him-Bengaluru-Ne-gg-updated Biden last Talk : https://data.lacounty.gov/groups/9327acc6a34a4185bb315eca822bb27a Russian Ukrain Breaking News : https://data.lacounty.gov/groups/17c95b16327042548d720aa972bc0e3e Other Sources : https://data.lacounty.gov/groups/2f636c9996f54b00b2360ab517937bcd https://data.iowadot.gov/groups/0461d8400f6944b3b01a2d46bd4e2c1d https://data.lacounty.gov/groups/a515c3b6f9154667b06ca76be132ce16 https://data.lacounty.gov/groups/eb1fcb15716942438e22ebb1e0e0fa0c https://data.lacounty.gov/groups/c5672fe31b7649e5859b3523fa4a4e95 https://data.lacounty.gov/groups/191b8d8656c142079b74f5c2fefc1794 https://data.lacounty.gov/groups/272302a0149a489ebd9b85dee7fe6606 https://data.lacounty.gov/groups/aeaad5b8b96c49dc9337907d74de0f93 https://data.lacounty.gov/groups/e48471cdff1d4ce78d9d3e1b947ef7a5 https://data.iowadot.gov/groups/c45991364bae4590863490683aae42e6 https://data.lacounty.gov/groups/18cd7b1edcee4a089f52c85c24275352 https://data.lacounty.gov/groups/d777d94051db48f1a84d814cfbe5be85 https://data.lacounty.gov/groups/822d4ce7bc864288a47d2f6409f87af1 https://data.iowadot.gov/groups/e50aefa49baa481281c8d93c9a42a4f2 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.....

yav1327/zindi-model

yav1327

--- license: apache-2.0 ---

Nutanix/phi-2_SFT_lora_32_alpha_16_mbpp_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/White-House-Was-Not-Aware-of-Plea-Deal-Discussions-With-September-11-Defendants-Kirby-d1-updated

edthrth

--- language: - en --- []() read the full article here : https://data.iowadot.gov/groups/ca8244aaf4624c0e84731ff2009dc565 Source : https://data.lacounty.gov/groups/90223d3d1387480398ab22e9a25b20bd Flash News : https://data.lacounty.gov/groups/35a8a183482f4a3db0c8ac50e0a57637 Biden last Talk : https://data.lacounty.gov/groups/c8f68c5ab2804a1f87e8e3d28805883b Russian Ukrain Breaking News : https://data.lacounty.gov/groups/ae8d0c1e810f421194d64d66db29ac36 Other Sources : https://data.iowadot.gov/groups/9b3049d821174fa2827941eb6ca93618 https://data.lacounty.gov/groups/eb1fcb15716942438e22ebb1e0e0fa0c https://data.iowadot.gov/groups/3a8842ee5b4645d69a4079c07e54cdaf https://data.iowadot.gov/groups/c57a4b58da7347aa96c73d9baf453195 https://data.iowadot.gov/groups/45fd6b1056474423bba054f28b3083fa https://data.lacounty.gov/groups/646ddebfd5da4cd587ca71ef5fa25109 https://data.lacounty.gov/groups/be8bfad9c79d482aa4e33bca0513e909 https://huggingface.co/edthrth/Jailer-agrees-to-plead-guilty-in-case-of-inmate-who-froze-to-death-at-jail-dg-updated https://data.lacounty.gov/groups/914ecd47a1dc423b9662e1aea759db13 https://data.lacounty.gov/groups/f8cf3d677f324e708859392bea6031d8 https://data.lacounty.gov/groups/9b7604f0767a47d0984491a1e824edc0 https://data.lacounty.gov/groups/d3309f3de7944f2c82348f086d999553 https://data.lacounty.gov/groups/feaf2b038d744076b39cfed4f660a6e9 https://data.iowadot.gov/groups/dd9c5e03371846ab95df5e86e0affe06 https:\/\/cdn1.img.sputnikglobe.com\/img\/07e8\/02\/06\/1116626934_0:260:3072:1988_192_80_0_0_93da15a81aaf094cef9caf79c1f0f797.jpg.webp"The White House wasn't aware of this deal or the process leading up to it until yesterday," Kirby said on Thursday. "There's no change to the President's policy and opinion that Guantanamo should be closed, but in this particular case with these plea deals, we're going to be reaching out to the Department of Defense as appropriate to have discussions about it." On Wednesday, the Department of Defense announced that it entered into pre-trial plea agreements with three of the defendants accused of having a role in the September 11, 2001, terrorist attacks, including Khalid Shaikh Mohammad, who is claimed to have masterminded the attacks.....

danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-1.3-data_ordering-peft-lora

danielkty22

Entry not found

Krabat/Qwen-Qwen1.5-0.5B-1722628555

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

yav1327/zindi-yash1

yav1327

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:** yav1327 - **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)

jarski/Worm-Unity-ML

jarski

ml-agents

reinforcement-learning

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

edthrth/Women-should-have-informed-choice-on-having-labour-induced-at-39-weeks-Rotunda-doctor-b5-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/57003d2703314efdaa38e9d8764b9fc9 Source : https://data.iowadot.gov/groups/dd9c5e03371846ab95df5e86e0affe06 Flash News : https://data.iowadot.gov/groups/37b2424f3a794a29b07ae1eda9795f9f Biden last Talk : https://data.lacounty.gov/groups/35a8a183482f4a3db0c8ac50e0a57637 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/57003d2703314efdaa38e9d8764b9fc9 Other Sources : https://data.lacounty.gov/groups/bfab507453c44cd0a81dbdae69305fcd https://data.lacounty.gov/groups/5b3c7bd15b774bb4a24b283b971723f7 https://data.lacounty.gov/groups/9f48c48825d042f8b3ef290e70c8a114 https://data.iowadot.gov/groups/7008c6f3be0741deb2e9d7b00ef0d934 https://data.lacounty.gov/groups/f8cf3d677f324e708859392bea6031d8 https://data.lacounty.gov/groups/6b61baed1b2645e0a0dd784044b965aa https://data.lacounty.gov/groups/85390ac3eadd4a16a0df9ce665982c2f https://data.lacounty.gov/groups/772acd9e3e7343b39702eb8178436463 https://data.lacounty.gov/groups/822d4ce7bc864288a47d2f6409f87af1 https://data.lacounty.gov/groups/d777d94051db48f1a84d814cfbe5be85 https://data.iowadot.gov/groups/7b9df14337944bb6a2ed3b876f97676a https://data.lacounty.gov/groups/e8b9788ce9b5414b976c8fe50d77c956 https://data.lacounty.gov/groups/ae8d0c1e810f421194d64d66db29ac36 https://data.iowadot.gov/groups/0096249e6fff4c509088787477f8568e It follows a study of induced labour at 39 weeks in healthy women, which faced criticism. WOMEN SHOULD HAVE the option of having labour induced at 39 weeks and returning home, a consultant at the Rotunda Hospital has said. Professor Fergal Malone, a former master of the Rotunda, said the Dublin maternity hospital will soon give women the option of having labour medically induced at 39 weeks - full term - and then returning home to begin their labour, if they choose. At present, women whose labour is induced - using hormones or a device to dilate the cervix - stay in hospital for their entire labour, which could last two or three days. Induction is particularly used if a woman has not gone into labour by 41 weeks, two weeks past normal full term, or if her waters break but contractions do not start. A new study conducted in the Rotunda and published in the prestigious Lancet medical journal concluded that healthy first-time mothers can safely labour at home after induction at 39 weeks, coming back into hospital to deliver the baby. Malone said: "Our goal was informed choice - giving people choice on how to manage the end of pregnancy. We haven't come out and said, 'everybody should have an induction'. But we do believe that everyone should be told the benefits and the risks of both spontaneous labour and induced labour." Criticism The study was criticised in 2021, while it was still being conducted, by a Trinity College Dublin professor of midwifery and by an Irish patient advocacy group, among others. Critics of the research suggested an information leaflet told women more about the potential benefits than about the potential risks of agreeing to be induced as part of the research. Critics also questioned the rationale for inducing labour at 39 weeks in healthy pregnant women rather than allowing them to go into labour spontaneously. No changes were made to the information leaflet or any other element of the research as a result of these criticisms. The study was funded with a grant from Medicem, a medical technology firm which makes a cervical dilator used in the research as one of two initial methods to induce labour. Funding was also provided by the charitable Rotunda Foundation. Neither funder had a role in trial design or any other element of the research. Fergal Malone PA \/ Alamy PA \/ Alamy \/ Alamy Malone said it was true that people who have induced labour tend to have a slower labour and are more likely to have a caesarean section than those who go into labour spontaneously. Advertisement However, he argued that it was "simplistic" to therefore conclude that patients should "keep away from induced labour". That's because women cannot choose to have a spontaneous labour. Some women who wait past 39 weeks will end up being induced anyway at 41 weeks, when the baby might be heavier and harder to deliver vaginally. "The correct comparison isn't women who have spontaneous labour at 39 weeks versus women who are induced at 39 weeks; the comparison should be women who had induced labour at 39 weeks versus women who waited, who did nothing," he said. 'Maximising choice' This comparison was investigated in a large study in the US six years ago, which found lower rates of c-section in the induced group (18.6%) compared with the group that waited (22.2%). There was no significant difference in the risk of death or serious complications. The Rotunda study found that 25% of women who were admininistered either a dilator or a hormonal gel to induce labour ended up having a c-section. This compares with a 30-40% c-section rate in Ireland, and closer to 40% for first-time mothers, Malone said. Malone said the findings in the new study represented a "significantly reduced" chance of c-section. He said women may ask for induction at 39 weeks because their baby is getting big or they can't sleep, or for other reasons. He said once the Rotunda's day assessment unit is resourced to offer it, women will be able to go home after induction at 39 weeks, and this will be cheaper than keeping women in a prenatal ward. HSE data shows that 31.1% of women who had a baby in 2021 were induced. Malone said it was a "myth" that induced labour was more painful than spontaneous labour, and randomised trials had confirmed this. National guidelines Krysia Lynch, spokeswoman for the Association for Improvements in the Maternity Services - Ireland, a patient advocacy group, disputed the idea that induced labour was no more painful than spontenous labour, adding that it could mean women were more likely to need pharmacological pain relief. She noted that the HSE's guidlines on induction of labour, updated last year, recommend women with uncomplicated pregnancies should be offered induction of labour at 41 weeks. The guidelines state that requests for induction from 39 weeks "should be considered, after discussing the benefits and risks with the woman, and taking into account the woman's circumstances and preferences as well as the maternity hospital or unit's resources and established care pathways". The guideline document states that induction "may impact on the need for pain relief as induced labour may be more painful than spontaneous labour". Readers like you are keeping these stories free for everyone... A mix of advertising and supporting contributions helps keep paywalls away from valuable information like this article. Over 5,000 readers like you have already stepped up and support us with a monthly payment or a once-off donation. Learn More Support The Journal....

paulo101977/Reinforce-Cartpole-v1

paulo101977

reinforcement-learning

--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-Cartpole-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type: mean_reward value: 500.00 +/- 0.00 name: mean_reward verified: false --- # **Reinforce** Agent playing **CartPole-v1** This is a trained model of a **Reinforce** agent playing **CartPole-v1** . To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction

edthrth/Loving-and-caring-woman-found-dead-in-flat-by-friend-e2-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/8b905fa804674c33b001c9bd25e57cec Source : https://huggingface.co/edthrth/Harrismania-Is-it-Real-52-updated Flash News : https://data.lacounty.gov/groups/33ebc015df9f42998c9b464f180863c1 Biden last Talk : https://data.iowadot.gov/groups/ca8244aaf4624c0e84731ff2009dc565 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/beea2884544e42d2b6c007913c75cf7a Other Sources : https://data.iowadot.gov/groups/7f779820ce514ffc8e2a5c015702a9a5 https://data.lacounty.gov/groups/5bbd082d54d1401f9a23827343042900 https://data.lacounty.gov/groups/e85144fa94184e51afc75ffcbb8a3c6b https://data.lacounty.gov/groups/b4c93e94ca0d4fceb887ab65b80c2c08 https://data.lacounty.gov/groups/59e66f937dff40df8c9822f168026896 https://data.lacounty.gov/groups/343ed314ca81442bb932bdc016bd27b2 https://data.lacounty.gov/groups/9b7604f0767a47d0984491a1e824edc0 https://data.lacounty.gov/groups/12c17845094645d7b70e59be8f7db1bd https://data.lacounty.gov/groups/f8cf3d677f324e708859392bea6031d8 https://data.lacounty.gov/groups/85390ac3eadd4a16a0df9ce665982c2f https://data.iowadot.gov/groups/96ff76bea11747f3b0b9f0193f047b1d https://data.lacounty.gov/groups/191b8d8656c142079b74f5c2fefc1794 https://data.lacounty.gov/groups/af034538dd4946928e76ce709fd74fb1 https://data.lacounty.gov/groups/85390ac3eadd4a16a0df9ce665982c2f Christina Jean Boggs, 34, was pronounced dead at the scene after telling her friend the night before that she felt unwell. An inquest held at Bournemouth Town Hall on August 1 heard a statement from Christina's parents, Lisa and Derek Boggs. "Christina was a troubled but very lovely girl who was loving, caring, sensitive and fiercely loyal with a great sense of humour," they said. It was heard that Christina had an eight-year-old daughter who she loved but was prevented from seeing. "We love and miss her so much," said Mr and Mrs Boggs. Bob Morris, team leader at We Are With You, a support charity, said in a statement that Christina had been receiving treatment for her drug addiction since February 2020 but had been known to the service since 2012. In February 2024 Christina was seen by a prescription nurse regarding her methadone prescription, which treats heroin dependency. The nurse raised concerns of Christina's risk of overdose due to the other drugs she was taking. Mr Morris said that Christina wanted to "stop using and get her life back." Andrea Rowley, Christina's friend, said Christina was homeless and sleeping in a tent in the days before her death. However, at around 9pm on February 21 Christina came to Andrea's flat on Poole Road seeking "a roof over head" after her tent was damaged. Christina said she was feeling unwell, but was not withdrawing from drugs, and wanted to go to sleep. Andrea went to her bedroom and did not return to the living room until 10.30am the next day where she found Christina unresponsive on the sofa. She phoned the ambulance service, who talked her through resuscitation before paramedics arrived, but Christina sadly pronounced dead at the scene. PC Alex Martin, a response officer at Dorset Police, said he found no evidence of foul play or drug paraphernalia in the flat. Following her death, toxicologist, Rob Moore, said he found a regular level of methadone in Christina's blood. He added that metabolites of other drugs were found which suggests non-recent use. A postmortem examination conducted by Dr Albadry concluded her medical cause of death to be respiratory depression from combined use of drugs and alcohol. Assistant coroner for Dorset, Richard Middleton, concluded that Christina died from a drug-related death.....

Nutanix/phi-2_SFT_lora_32_alpha_16_mbpp_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]

erwannd/llava-1.5-7b-finetune-captionstest

erwannd

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. (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]

tingting/test_gemma-2-2b-it-bnb-4bit_FTe3_paragraph_None0Shot_NERNone

tingting

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:** tingting - **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)

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

edthrth

--- language: - en --- []() read the full article here : https://data.iowadot.gov/groups/6887af92d446414ab234be920970e80c Source : https://data.lacounty.gov/groups/fd360d56668e47198ce687b436be3857 Flash News : https://data.lacounty.gov/groups/b002627f93ab4c5d9eda14604cd2b3b9 Biden last Talk : https://data.lacounty.gov/groups/ab2c44c67c78400aaabfaa414f2deffb Russian Ukrain Breaking News : https://data.lacounty.gov/groups/bea484f911a94a2ea5a9ddb04a15ea4a Other Sources : https://data.iowadot.gov/groups/155c6394e27a47268292a6a7b320a22d https://data.lacounty.gov/groups/55d9ca98c5d142fe954618c9b23e28e3 https://data.lacounty.gov/groups/18cd7b1edcee4a089f52c85c24275352 https://data.lacounty.gov/groups/c6e2f0d1891241d497c6c03216a7e2d5 https://data.iowadot.gov/groups/dd9c5e03371846ab95df5e86e0affe06 https://data.lacounty.gov/groups/f34691d7b8d344d28997367e15c9acdc https://data.iowadot.gov/groups/c694ecb730004c149bcba1351d44a8a4 https://data.lacounty.gov/groups/914ecd47a1dc423b9662e1aea759db13 https://data.iowadot.gov/groups/47a596132b744265a5cb58fd9589b637 https://data.iowadot.gov/groups/155c6394e27a47268292a6a7b320a22d https://data.lacounty.gov/groups/646ddebfd5da4cd587ca71ef5fa25109 https://data.lacounty.gov/groups/c6e2f0d1891241d497c6c03216a7e2d5 https://data.lacounty.gov/groups/35a8a183482f4a3db0c8ac50e0a57637 https://data.lacounty.gov/groups/aeaad5b8b96c49dc9337907d74de0f93 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/Iran-allies-ready-joint-retaliation-gc-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/2f636c9996f54b00b2360ab517937bcd Source : https://data.lacounty.gov/groups/822d4ce7bc864288a47d2f6409f87af1 Flash News : https://data.lacounty.gov/groups/96c82f377ff74500933a09b79bddb2f5 Biden last Talk : https://data.lacounty.gov/groups/b4c93e94ca0d4fceb887ab65b80c2c08 Russian Ukrain Breaking News : https://data.iowadot.gov/groups/9b3049d821174fa2827941eb6ca93618 Other Sources : https://data.lacounty.gov/groups/7164aa1108734b91a3b6a2514b3b1bf6 https://data.lacounty.gov/groups/499ed01522f34bbea814dc8c6a20d71c https://data.lacounty.gov/groups/99db01b5d24249d7a7c0ea6c4bb108fe https://data.lacounty.gov/groups/979fdda85abb4d69980e9a96a7040336 https://data.lacounty.gov/groups/920ea0b30c7145bdb519839c098dc6d5 https://data.lacounty.gov/groups/d7794f8c49ee4142b8c8162b07aa20d8 https://data.iowadot.gov/groups/96ff76bea11747f3b0b9f0193f047b1d https://data.lacounty.gov/groups/8682f6ae93bf4ad7839cb6dbd91d04b9 https://data.lacounty.gov/groups/15a816ec1af1435e8f7735cb32493813 https://data.lacounty.gov/groups/f7e1481e87de402b9da40153f0b59904 https://data.lacounty.gov/groups/bea484f911a94a2ea5a9ddb04a15ea4a https://data.lacounty.gov/groups/eb1fcb15716942438e22ebb1e0e0fa0c https://data.lacounty.gov/groups/973c51906a744b23897c135afcea7044 https://data.iowadot.gov/groups/3a7f4b3629854b959b1753dda2ae1ed4 Iranians take part in a funeral ceremony for late Hamas leader Ismail Haniyeh, in Tehran,Yesterday. Iran and its regional allies vowed retaliation yesterday for the deaths of Hamas and Hezbollah leaders, raising regional tensions as mourners filled Tehran's city centre calling for revenge. A public funeral was held for Hamas's political chief Ismail Haniyeh in the Iranian capital where he was killed early Wednesday in an attack which Israel has not commented on. Haniyeh's body was then flown to Qatar, where he is to be laid to rest today, when his group called for a "day of furious rage" in the Palestinian territories and across the region. Hezbollah chief Hassan Nasrallah, addressing the funeral of the Lebanese group's top military commander, said Israel and "those who are behind it must await our inevitable response" to Fuad Shukr's and Haniyeh's killings within hours of each other. "You do not know what red lines you crossed," Nasrallah said, addressing Israel, a day after Shukr was killed in a strike in south Beirut. Israel, which said Shukr's assassination was a response to deadly rocket fire last week on the occupied Golan Heights, warned its adversaries yesterday they would "pay a very high price" for any "aggression". A source close to Hezbollah told AFP that Iranian officials met in Tehran on Wednesday with representatives of the so-called "axis of resistance\....

Pnar/Foto

Pnar

Entry not found

Nutanix/phi-2_SFT_lora_64_alpha_16_mbpp_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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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. 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(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-Qwen1.5-1.8B-1722628819

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

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/7164aa1108734b91a3b6a2514b3b1bf6 Source : https://data.iowadot.gov/groups/bfccfe57a2f24cf9ab181f40894cc8f5 Flash News : https://data.lacounty.gov/groups/be8bfad9c79d482aa4e33bca0513e909 Biden last Talk : https://data.iowadot.gov/groups/9b3049d821174fa2827941eb6ca93618 Russian Ukrain Breaking News : https://data.iowadot.gov/groups/aa49134337364a7f9e1dc249603220f0 Other Sources : https://data.lacounty.gov/groups/8986eac8600e4a2d9540e2812d0c97f8 https://data.lacounty.gov/groups/d3309f3de7944f2c82348f086d999553 https://data.iowadot.gov/groups/7836289a5f834421acb640d5242b3ea6 https://data.iowadot.gov/groups/ddf41be60549428e9c7f10117e489193 https://data.iowadot.gov/groups/01f3c942b4b44a8585262b0b42b6febd https://data.lacounty.gov/groups/64e4a44a6aed433dabd5a3e7c2df6dd5 https://data.lacounty.gov/groups/aeaad5b8b96c49dc9337907d74de0f93 https://data.lacounty.gov/groups/8b28cb09ebf34d4486468e4484e4b8fd https://data.lacounty.gov/groups/e8b9788ce9b5414b976c8fe50d77c956 https://data.lacounty.gov/groups/eb1fcb15716942438e22ebb1e0e0fa0c https://data.lacounty.gov/groups/6d344617ead14e1daa121a7e53ea9f83 https://data.iowadot.gov/groups/e4279e19431d47df85e7109a01099d31 https://data.lacounty.gov/groups/c309c0da93854b8eafc36afefead32d8 https://data.iowadot.gov/groups/f00adba8005543aab1d20c68d621613f WASHINGTON -- The Senate fell short as expected Thursday of the 60 votes needed to start debate on a $79 billion tax bill that would deliver financial relief to businesses and low-income families, amid opposition from most Republicans and some on the majority side of the aisle as well. Though the procedural vote was expected to go down, Democrats hope Republicans' opposition to expanding the child tax credit will hurt the GOP on the campaign trail and give their own vulnerable members facing tough races a boost. Senate Majority Leader Charles E. Schumer of New York also accused Republicans of voting against the bill to avoid giving Democrats a win so close to the election. "Senate Republicans love to talk about they are the party of family and business, so it's very odd to see them come out so aggressively against expanding the child tax credit and rewarding businesses with the [research and development] tax credit, but that seems to be what they're doing," Schumer said on the floor ahead of the vote. "Senate Republicans can either choose bipartisanship and get this done now, or they can choose partisanship [and] leave families hanging out to dry." The measure wouldn't affect separate R&D credits, but it would restore companies' ability to claim full deductions for research expenses in the first year, something a broad coalition of industries has been angling for since that tax break got less generous at the start of 2022. The Senate voted 48-44 on cloture on the motion to consider the tax bill negotiated by Senate Finance Chairman Ron Wyden, D-Ore., and House Ways and Means Chairman Jason Smith, R-Mo. Schumer changed his vote to 'nay,' to allow the option to reconsider the cloture motion at a later date. Schumer hinted that he might bring the motion up again after lawmakers return from August recess. "I'm hopeful that Republicans when they go home will feel the heat," Schumer said at a press conference following the vote. "I'm hopeful that they will come back and stop their intransigent position that they're not going to do anything because Donald Trump doesn't want to see any accomplishments here." The bill would revive a trio of business tax breaks, including the full upfront deduction of research and development expenses, and expand the child tax credit to make it more generous to low-income families. The House passed the legislation on a 357-70 vote in January. GOP senators, including Minority Leader Mitch McConnell of Kentucky, dismissed the vote as a political ploy, citing the timing of holding a cloture vote right before the Senate leaves town for August recess. "Today's vote doesn't seem intended to produce a legislative outcome. The Democratic leader himself admitted this week that losing the vote would be a political benefit to vulnerable Senate Democrats running for reelection," McConnell said on the floor. "Well, I'm not so certain the American people are impressed by message votes, and I don't think they give out points for incomplete work." Defections Republicans nearly uniformly voted against the motion. Exceptions included Josh Hawley of Missouri, Markwayne Mullin of Oklahoma and Rick Scott of Florida, who's mounting a long-shot bid to succeed McConnell as GOP leader next year. Former President Donald Trump's running mate JD Vance did not make it back from the campaign trail for the vote. The bill's expansion of child tax credit and tax relief for victims of the East Palestine train derailment would have made it a difficult vote for the Ohio Republican, who has floated giving preferential treatment to families, including imposing a higher tax rate on child-free people and allowing parents to vote on behalf of minor children. Democrats took aim at Vance, who was in Arizona visiting the southern border on Thursday, for missing the Senate action. "When the American people vote in November, they'll remember that when Vance had a chance to show up for working families, he was nowhere to be found," Democratic National Committee spokesperson Aida Ross said in a statement. All Democrats backed the cloture motion, though two independents who caucus with that side of the aisle did not: Bernie Sanders of Vermont and Joe Manchin III of West Virginia. Manchin has cited issues with the child tax credit, as well as concerns about adding to the deficit. The bill's cost would be offset by bringing the pandemic-era employee retention tax credit to an early end. In a statement, Sanders, a self-described democratic socialist, said the tax bill was too tilted towards business breaks. "When all is said and done, this bill would provide at least $3 in corporate tax breaks for every $1 in tax cuts for working families with children," Sanders said. "That is not a good deal for working families." 'Calculated move' Sen. Michael D. Crapo, top Republican on the Senate Finance Committee, called on Democrats to break apart the bill and vote on pieces individually. That would require separate votes on tax breaks for disaster victims, ending double-taxation of U.S. companies operating in Taiwan, restoring the lost business deductions and ending the pandemic-era employee retention tax credit, which is currently the offset for the rest of the package. Wyden previously has dismissed this suggestion. "While Senate Republicans have also been accused of playing politics, the timing of today's vote -- coupled with the lack of meaningful engagement since January to reach a compromise -- confirms that the strategy was always a take-it-or-leave-it proposition in the Senate," Crapo, R-Idaho, said on the floor. Earlier in the week Crapo said he hoped defeat on the floor would bring Democrats to the negotiating table. But senators have had months to work on compromise legislation, and Wyden says he and the Idaho Republican traded offers that went nowhere. "Senate Republicans had a seat at the negotiating table as we worked on this bill for seven months, and they stalled for another six after the House passed it with an overwhelming bipartisan vote in January. The goalposts kept moving," Wyden said in a statement after the vote. "For any Senate Republicans to claim they were denied an opportunity to put their mark on it is absurd." Wyden offered to remove a provision allowing families to use the previous year's income to qualify for the child tax credit, which Republicans have objected to, citing work requirements, and replace it with a different provision targeting aid at similarly situated low-income families. Republicans' counterproposal would have alienated every Democrat in the Senate, Wyden said, adding that it was tied to immigration. Conservatives in the House proposed blocking immigrant parents from collecting the child tax credit on behalf of children who are U.S. citizens. Crapo previously said he was sympathetic to the idea. Wyden also accused Republicans of holding out until next year, when they would be in a stronger negotiating position if they retake the Senate in November and likely will have to address the expiration of parts of the 2017 tax law. It's a calculation some GOP senators have also voiced. "We can get a lot better deal in terms of renewing tax cuts on a permanent basis by waiting, in my opinion," said Sen. John Kennedy, R-La. "I don't see it as a gamble. I see it as a calculated move."....

edthrth/Early-years-needs-urgent-attention-as-focus-too-often-on-parents-report-e5-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/78b1c67bcf0648f1b69a468876bbef12 Source : https://data.iowadot.gov/groups/d204fdca49ea4344ba88574c069434df Flash News : https://data.lacounty.gov/groups/630d6f421529474da309c736f555549d Biden last Talk : https://data.lacounty.gov/groups/e85144fa94184e51afc75ffcbb8a3c6b Russian Ukrain Breaking News : https://data.lacounty.gov/groups/772acd9e3e7343b39702eb8178436463 Other Sources : https://data.lacounty.gov/groups/17c95b16327042548d720aa972bc0e3e https://data.lacounty.gov/groups/914ecd47a1dc423b9662e1aea759db13 https://data.iowadot.gov/groups/06a00cdd1e164a25bf09ff3cda45a039 https://data.lacounty.gov/groups/6fb4ae28f4a7439897272faaf1eae5d5 https://data.lacounty.gov/groups/979fdda85abb4d69980e9a96a7040336 https://data.lacounty.gov/groups/6b61baed1b2645e0a0dd784044b965aa https://data.iowadot.gov/groups/96ff76bea11747f3b0b9f0193f047b1d https://data.lacounty.gov/groups/5bbd082d54d1401f9a23827343042900 https://data.iowadot.gov/groups/994af2af6af04d9e907c616b9b732e93 https://data.iowadot.gov/groups/ee4df13d714745b1a1c3086a528b52ac https://data.iowadot.gov/groups/37b2424f3a794a29b07ae1eda9795f9f https://data.iowadot.gov/groups/dd9c5e03371846ab95df5e86e0affe06 https://data.lacounty.gov/groups/17c95b16327042548d720aa972bc0e3e https://data.lacounty.gov/groups/bf6d515bd3674b8b8ee8b85b0311ebc2 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."....

Nutanix/phi-2_SFT_lora_64_alpha_16_mbpp_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. 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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. 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(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]

buddhist-nlp/gemma-2-mitra

buddhist-nlp

transformers

text-generation

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

pruning/e7gueck

pruning

Entry not found

edthrth/US-tried-to-get-Navalny-into-Russia-swap-but-then-he-died-3e-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/e48471cdff1d4ce78d9d3e1b947ef7a5 Source : https://data.lacounty.gov/groups/99db01b5d24249d7a7c0ea6c4bb108fe Flash News : https://data.lacounty.gov/groups/78b1c67bcf0648f1b69a468876bbef12 Biden last Talk : https://data.lacounty.gov/groups/868f77ef70e64bcda92341f6b0a46d32 Russian Ukrain Breaking News : https://data.iowadot.gov/groups/7d5eda1ed7754c74b5b4f6845b4587d2 Other Sources : https://data.iowadot.gov/groups/7d5eda1ed7754c74b5b4f6845b4587d2 https://data.iowadot.gov/groups/3a8842ee5b4645d69a4079c07e54cdaf https://data.lacounty.gov/groups/8b28cb09ebf34d4486468e4484e4b8fd https://data.lacounty.gov/groups/feaf2b038d744076b39cfed4f660a6e9 https://data.lacounty.gov/groups/8fe8902bcf844efda8796b929b32e4ce https://data.lacounty.gov/groups/96c82f377ff74500933a09b79bddb2f5 https://data.lacounty.gov/groups/3013a2d98f4d4b94ba2a3a5279995520 https://data.lacounty.gov/groups/af034538dd4946928e76ce709fd74fb1 https://data.lacounty.gov/groups/64e4a44a6aed433dabd5a3e7c2df6dd5 https://data.iowadot.gov/groups/0461d8400f6944b3b01a2d46bd4e2c1d https://data.lacounty.gov/groups/8b28cb09ebf34d4486468e4484e4b8fd https://data.lacounty.gov/groups/9327acc6a34a4185bb315eca822bb27a https://data.lacounty.gov/groups/9f48c48825d042f8b3ef290e70c8a114 https://data.lacounty.gov/groups/bf6d515bd3674b8b8ee8b85b0311ebc2 Amid celebrations at getting a slew of US citizens and Kremlin opponents out of Russian prisons, the White House had one public regret Thursday: failure to get out an even bigger name -- Alexei Navalny. "We had been working with our partners on a deal that would have included Alexei Navalny and, unfortunately, he died," US National Security Advisor Jake Sullivan revealed. In the White House's plans, the last truly high-profile political opponent of President Vladimir Putin should have been included in the historic swap that saw 16 people -- including three US citizens and a US resident -- freed in return for 10 Russians chosen by the Kremlin, including two minors. But in February 2024, just as the secret international talks were at a crucial stage, Navalny was pronounced dead at a notoriously brutal Russian Arctic prison, where he was serving a 19-year sentence after exposing Kremlin corruption. Navalny was a larger-than-life figure whose bravery in confronting Putin, despite the deaths of multiple other Kremlin opponents over the years, amazed Russia watchers around the world. After surviving an assassination attempt in which he was poisoned with a rare, Soviet-designed nerve agent, and then daring to return from safety in Germany to certain arrest in Russia, Navalny took on an aura of near-invincibility. His sudden death behind bars shocked the White House team who had been trying to get the other prisoners home. "The team felt like the wind had been taken out of our sails," a senior US official told reporters. When the news broke, national security chief Sullivan said he happened to be with the parents of one of the other key targets in the prisoner swap plan: Evan Gershkovich, a Wall Street Journal reporter arrested in Russia in March 2023. "On the very day that he died, I saw Evan's parents," Sullivan said. "I told them that the president was determined to get this done, even in light of that tragic news, and that we were going to work day and night to get to this day." And the plan worked. On Thursday, the Western-chosen prisoners -- including Gershkovich and a veteran Russian human rights campaigner -- were flown to Turkey and then home. They also included two former aides to Navalny: Lilia Chanysheva, 42, and Ksenia Fadeyeva, 32. The Russian-chosen prisoners -- including a hitman and accused deep-cover spies -- were flown to Moscow. US Vice President Kamala Harris gave Navalny's widow, Yulia Navalnaya, a call. Harris, who is running to replace Biden in November, called "to dicuss the exchange and express her support," Navalnaya spokeswoman Kira Yarmysh said on X. And the Russian opposition figure's widow urged efforts to get others out continue. She "called on the international community to facilitate the release of other Russian political prisoners," Yarmysh said.....

baseten/Llama-Guard-3-8b_i8190_o2_bs20_fp16_tp1-tllm_0.12.0.dev2024072301

baseten

Entry not found

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

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/f8c4b606dea143f287bcb745ba278a64 Source : https://data.lacounty.gov/groups/be8bfad9c79d482aa4e33bca0513e909 Flash News : https://data.lacounty.gov/groups/feaf2b038d744076b39cfed4f660a6e9 Biden last Talk : https://data.lacounty.gov/groups/e48471cdff1d4ce78d9d3e1b947ef7a5 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/af034538dd4946928e76ce709fd74fb1 Other Sources : https://data.lacounty.gov/groups/8682f6ae93bf4ad7839cb6dbd91d04b9 https://data.lacounty.gov/groups/8b905fa804674c33b001c9bd25e57cec https://data.lacounty.gov/groups/191b8d8656c142079b74f5c2fefc1794 https://data.lacounty.gov/groups/e8b9788ce9b5414b976c8fe50d77c956 https://data.lacounty.gov/groups/c5672fe31b7649e5859b3523fa4a4e95 https://data.lacounty.gov/groups/5b3c7bd15b774bb4a24b283b971723f7 https://data.iowadot.gov/groups/e50aefa49baa481281c8d93c9a42a4f2 https://data.lacounty.gov/groups/f7e1481e87de402b9da40153f0b59904 https://data.lacounty.gov/groups/6d344617ead14e1daa121a7e53ea9f83 https://data.iowadot.gov/groups/f00adba8005543aab1d20c68d621613f https://data.lacounty.gov/groups/3e565394dda9416f924636520bc5b905 https://data.iowadot.gov/groups/0461d8400f6944b3b01a2d46bd4e2c1d https://data.iowadot.gov/groups/3a7f4b3629854b959b1753dda2ae1ed4 https://data.lacounty.gov/groups/5ff19d3465cc40228709f73bce6432ef After watching the opening act of the Kamala Harris presidential campaign, one thing is abundantly clear: She and her handlers think they can win the White House by pleading the Fifth from now through Nov. 5. Ever since she launched her first presidential campaign back in January of 2019, Kamala Harris has not held one US press conference. She has not done anything resembling a tough interview. She's really no different from Joe Biden: Take away her teleprompter and her script, and things go sideways in a hurry. Compare that to Donald Trump, who on Wednesday was invited to appear before the National Association of Black Journalists in Chicago. Trump, in an effort to expand his inroads with black voters by making himself accessible, accepted the invitation. Smart move -- because he has shown he can connect with minority voters across the board, especially during this campaign cycle. Recall his visits to the South Bronx and Harlem this spring, his sneaker convention appearance before a largely minority and Gen Z audience and his rally in the blue state of New Jersey with an estimated 100,000 people in attendance. His NABJ appearance was classic Trump, sparring out of the gate with the hopelessly biased ABC News correspondent Rachel Scott. Scott accused Trump of racism based on his criticism of Manhattan DA Alvin Bragg -- a profoundly ridiculous premise, given how critical Trump has been of prosecutor Jack Smith, who at last check was a white guy. But when Trump was actually asked relevant questions about inflation and illegal immigration by Fox News anchor Harris Faulkner, he hammered Kamala on both issues, underscoring that during his time as president, black voters were far better off. The facts and numbers back that up: Inflation was lower, employment was higher. And illegal immigration under Biden-Harris has greatly impacted citizens in urban areas, where they're seeing their jobs and social services like sanitation and education and police taken away. The Trump outreach is paying dividends: A recent CNN poll shows the Republican getting an eye-popping 30% of the black vote compared to Harris, who gets 63%. Usually the split is around 90\/10 for the Democrat -- so needless to say, if Trump can get even half that level of support, this race is over. For her part, Harris also received an invitation from the NABJ, but declined to appear live and will only do so at some point by Zoom (sound familiar?). The reason is simple: Harris and actual journalists asking germane questions about her radical policy positions simply cannot co-exist. And as we've seen from the Queen of Word Salads, she does not possess the ability to speak extemporaneously with anything resembling coherent arguments. She would have to answer questions on ending the fossil-fuel industry, abolishing ICE, ending all private health insurance and providing free health care to illegal immigrants, for starters. Harris would also be asked to explain her support of late-term abortion, sanctuary cities, allowing violent criminals to vote from jail and everything from her desire to expand the Supreme Court to allowing biological men to compete against biological women in sports. Team Harris thinks she can win not on the issues (outside of abortion), but on thin-sliced identity groups working on her behalf, such as the testosterone-challenged White Dudes for Harris, and perhaps the occasional interview with RuPaul's drag queens. And at a time when Americans face a raft of serious problems, from inflation to crime to an open border to an increasingly unstable world, we can't have another candidate who hides from questions and accountability while going up against a fearless candidate like Donald Trump.....

LumousInTheWild/My_Model4

LumousInTheWild

transformers

--- base_model: scb10x/llama-3-typhoon-v1.5x-8b-instruct language: - en license: apache-2.0 tags: - text-generation-inference - transformers - unsloth - llama - trl --- # Uploaded model - **Developed by:** LumousInTheWild - **License:** apache-2.0 - **Finetuned from model :** scb10x/llama-3-typhoon-v1.5x-8b-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)

danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-1.3-data_subsetting-peft-bitfit

danielkty22

Entry not found

Krabat/Qwen-Qwen1.5-7B-1722629210

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

danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-1.3-data_ordering-peft-ia3

danielkty22

Entry not found

4naluvs/YEONJUN_txt

4naluvs

--- license: openrail ---

danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-1.3-data_ordering-peft-bitfit

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-1.3-data_subsetting-peft-lora

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-1.3-data_ordering-peft-none

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-1.3-data_subsetting-peft-ia3

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-1.3-data_subsetting-peft-none

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-1.7-data_ordering-peft-lora

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-1.7-data_ordering-peft-ia3

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-1.7-data_ordering-peft-none

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-1.7-data_ordering-peft-bitfit

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-2.5-data_ordering-peft-bitfit

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-1.7-data_subsetting-peft-lora

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-1.7-data_subsetting-peft-ia3

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-1.7-data_subsetting-peft-bitfit

danielkty22

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ajrayman/Consc_continuous

ajrayman

transformers

text-classification

--- license: mit base_model: roberta-base tags: - generated_from_trainer model-index: - name: Consc_continuous results: [] pipeline_tag: text-classification library_name: transformers --- <!-- 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. --> # Consc_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: 0.0237 - Rmse: 0.1540 - Mae: 0.1227 - Corr: 0.4423 ## 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 | 0.0258 | 0.1606 | 0.1281 | 0.4157 | | 0.0353 | 2.0 | 536 | 0.0237 | 0.1540 | 0.1227 | 0.4423 | ### Framework versions - Transformers 4.43.3 - Pytorch 2.4.0 - Datasets 2.20.0 - Tokenizers 0.19.1

danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-2.0-data_ordering-peft-lora

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-1.7-data_subsetting-peft-none

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-2.5-data_subsetting-peft-none

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-2.0-data_ordering-peft-ia3

danielkty22

Entry not found

danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-2.0-data_subsetting-peft-lora

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-2.0-data_ordering-peft-none

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-2.0-data_ordering-peft-bitfit

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-3.0-data_subsetting-peft-bitfit

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-2.0-data_subsetting-peft-ia3

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-2.0-data_subsetting-peft-none

danielkty22

Entry not found

danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-2.0-data_subsetting-peft-bitfit

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-2.5-data_ordering-peft-lora

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-2.5-data_ordering-peft-ia3

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-2.5-data_ordering-peft-none

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-2.5-data_subsetting-peft-lora

danielkty22

Entry not found

danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-3.0-data_ordering-peft-lora

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-2.5-data_subsetting-peft-ia3

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-2.5-data_subsetting-peft-bitfit

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-3.0-data_ordering-peft-ia3

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-3.0-data_ordering-peft-bitfit

danielkty22

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

edthrth

--- language: - en --- []() read the full article here : https://data.iowadot.gov/groups/c57a4b58da7347aa96c73d9baf453195 Source : https://data.iowadot.gov/groups/3a8842ee5b4645d69a4079c07e54cdaf Flash News : https://data.iowadot.gov/groups/d204fdca49ea4344ba88574c069434df Biden last Talk : https://data.lacounty.gov/groups/e85144fa94184e51afc75ffcbb8a3c6b Russian Ukrain Breaking News : https://data.lacounty.gov/groups/343ed314ca81442bb932bdc016bd27b2 Other Sources : https://data.lacounty.gov/groups/33ebc015df9f42998c9b464f180863c1 https://data.lacounty.gov/groups/fd360d56668e47198ce687b436be3857 https://data.iowadot.gov/groups/bfccfe57a2f24cf9ab181f40894cc8f5 https://data.iowadot.gov/groups/7d5eda1ed7754c74b5b4f6845b4587d2 https://data.lacounty.gov/groups/8682f6ae93bf4ad7839cb6dbd91d04b9 https://data.iowadot.gov/groups/e4279e19431d47df85e7109a01099d31 https://data.iowadot.gov/groups/7f779820ce514ffc8e2a5c015702a9a5 https://data.iowadot.gov/groups/155c6394e27a47268292a6a7b320a22d https://data.lacounty.gov/groups/914ecd47a1dc423b9662e1aea759db13 https://data.lacounty.gov/groups/59e66f937dff40df8c9822f168026896 https://data.iowadot.gov/groups/01f3c942b4b44a8585262b0b42b6febd https://data.lacounty.gov/groups/17c95b16327042548d720aa972bc0e3e https://data.lacounty.gov/groups/8986eac8600e4a2d9540e2812d0c97f8 https://data.lacounty.gov/groups/c2f7a8458c1b4f7bbd6a55f27e229595 Even in the world of presidential multitasking, July 21 turns out to have been an extraordinary, whipsaw Sunday for President Biden. At 12:09 p.m., he picked up the phone at his vacation house in Rehoboth Beach, Del., to talk with the prime minister of Slovenia as part of a high-stakes diplomatic gamble to seal a complicated, multinational prisoner swap. Just 97 minutes later, he posted a world-stunning letter online abandoning his bid for re-election after a bruising pressure campaign by his own Democratic allies, climaxing the biggest crisis of his political career and signaling the end of his presidency after a half-century in public life. By any measure, it was one of the darkest moments of his time in elective office as the inescapable reality of time, age and polls finally caught up with him. And yet it would lead to one of the most joyous days of his presidency barely a week and a half later as he orchestrated the release of imprisoned Americans from the dungeons of Russia. For Mr. Biden and his team, the successful negotiation to free 16 people held by Russia on Thursday, including three American citizens and a U.S. permanent resident, offered sweet validation even as the clock is now ticking toward his final curtain call in office. When the president appeared with relatives of the liberated prisoners in the State Dining Room of the White House, it was clearly personal to him and he framed it as a mission on behalf of the larger American family. "My dad had a simple proposition: Family is the beginning, the middle, and the end. Blood of my blood and bone of my bone," Mr. Biden said before hugging the daughter of one of the freed prisoners. "I could think of nothing more consequential." As he often does, he drew on his own experience of personal tragedy. "Having lost family," albeit in a very different way, he said that bringing home these tortured souls now, well, "it matters, it matters." It clearly mattered to him too. Although he made no mention of the incredible timing of his diplomatic triumph, just an hour and a half before his political surrender, it reinforced a commitment to making his last five months in power count. He may be a lame duck now, but he has no intention of heading off quietly into the night -- except to Joint Base Andrews outside Washington, where he planned to welcome home the Americans late Thursday night. Mr. Biden's staff made a point of talking up his diplomatic deftness in brokering the deal, bringing together seven countries in the largest such swap since the Cold War. And they emphasized that he and his administration had helped free more than 70 Americans wrongfully detained abroad during his tenure. "This was vintage Joe Biden," said Jake Sullivan, the national security adviser. "If you had not had Joe Biden sitting in the Oval Office, I don't think this would have happened." Mr. Sullivan, who has been personally invested in bringing home the hostages for years and had to deliver bad news to their families on many occasions, grew teary-eyed himself in the White House briefing room. "Today was a very good day," he said, choking up. It was Mr. Sullivan who set up the president's critical call with Prime Minister Robert Golob of Slovenia on July 21, according to another U.S. official who spoke on condition of anonymity to share behind-the-scenes details. The day before, on Saturday, July 20, Mr. Sullivan had been in Colorado for a meeting of the Aspen Strategy Group and worked the phones to bring together the deal. He was not able to persuade his Slovenian counterpart to release two Russians held by that Balkan country as part of the swap to free the Wall Street Journal reporter Evan Gershkovich and the others held by Moscow. So Mr. Sullivan asked if he could arrange a call from the president to the prime minister. After flying back to Washington, Mr. Sullivan called from his home on that Sunday and patched the two leaders together through the White House Situation Room, according to the U.S. official. Mr. Biden was in isolation in Rehoboth recovering from Covid -- and unknown to nearly the whole world, finalizing his letter withdrawing from the race. During their call, which lasted just a few minutes, Mr. Biden implored Mr. Golob to release the two Russians in his custody. In making his pitch, Mr. Biden even offered to visit Slovenia, the U.S. official said. What Mr. Biden did not say was that he would only have a few months left in office to follow up on that idea. Mr. Sullivan, asked about the timing of the call shortly before the withdrawal, said it was simply happenstance. "That's when the pieces were falling in place," he said. It was hardly the only conversation Mr. Biden had during the months of haggling. He reached out personally to other foreign leaders, most critically Chancellor Olaf Scholz of Germany, who for a long time had resisted releasing Vadim Krasikov, a Russian assassin convicted of murdering a Chechen separatist in Germany on state orders. But with Mr. Biden pressing him, and five German nationals imprisoned in Russia thrown into the package, Mr. Scholz finally relented. "For you, I will do this," he told Mr. Biden, according to U.S. officials. "The deal that made this possible was a feat of diplomacy and friendship -- friendship," Mr. Biden said on Thursday. In a veiled reference to former President Donald J. Trump, who constantly berates and belittles America's European partners, Mr. Biden added: "For anyone who questions whether allies matter, they do. They matter." No longer facing another election might have made it easier on some level for Mr. Biden to risk whatever political fallout there might be for the swap. It was an uncomfortable compromise. No one liked giving up a killer like Mr. Krasikov for innocent Americans like Mr. Gershkovich, the Marine veteran Paul Whelan and the journalist Alsu Kurmasheva, along with Vladimir Kara-Murza, a Russian opposition leader and Pulitzer Prize-winning columnist for The Washington Post who is a permanent U.S. resident. Trading for hostages always raises the tricky question of whether it encourages the hostage-takers to do it again. Unsurprisingly, Republicans quickly made that point, most loudly Mr. Trump, who is seeking his old job back and denounced giving anything away to free American prisoners. "To do so is bad precedent for the future," Mr. Trump wrote on his social media site in a posting that did not even pause to celebrate the freedom for the Americans and others released. "That's the way it should be, or this situation will get worse and worse. They are extorting the United States of America." But in fact, Mr. Biden and Mr. Sullivan decided early in his administration that the old politics no longer applied and that they should be willing to make trades, when justified, to free imprisoned Americans. For all the predictable criticism that would come, they concluded that there was really no meaningful domestic political cost, nor was it clear that refusing to make deals would necessarily stop hostage taking. In that case, they reasoned that it was better just to get Americans home rather than stand on what they considered a pointless principle and leave innocent people wasting away in foreign prisons or terrorist sanctuaries. They did so for Trevor R. Reed, an ailing former U.S. Marine held in Russia on what his family called bogus charges of assault, and they did so again for Brittney Griner, the W.N.B.A. star arrested in Moscow on what U.S. officials considered trumped-up drug charges. Left out of all those deals, though, was Marc Fogel, an American teacher sentenced to 14 years in a labor camp after being found with medical marijuana. Biden aides said they would keep trying to free him too. When Mr. Biden appeared on Thursday with the families of Mr. Gershkovich and the others, he laughed off a claim by Mr. Trump that if he were elected again, he would get President Vladimir V. Putin of Russia to simply free American prisoners without receiving anything in return. "Why didn't he do it when he was president?" Mr. Biden asked. With that, he headed out of the room. There was more to do. In fact, he had another important phone call to make, this one with Prime Minister Benjamin Netanyahu of Israel. There were, after all, more crises to confront, more hostages to try to free and not much time left.....

danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-3.0-data_subsetting-peft-lora

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-3.0-data_ordering-peft-none

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-3.0-data_subsetting-peft-none

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-4.0-data_ordering-peft-lora

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-4.0-data_ordering-peft-ia3

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-3.0-data_subsetting-peft-ia3

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-4.0-data_ordering-peft-bitfit

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-4.0-data_subsetting-peft-lora

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-4.0-data_ordering-peft-none

danielkty22

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danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-4.0-data_subsetting-peft-ia3

danielkty22

Entry not found

edthrth/AmeriCorps-Seniors-Honors-Exemplary-Leaders-at-Annual-Convening-Business-Upturn-3d-updated

edthrth

--- language: - en --- []() read the full article here : https://data.iowadot.gov/groups/7008c6f3be0741deb2e9d7b00ef0d934 Source : https://data.lacounty.gov/groups/9b7604f0767a47d0984491a1e824edc0 Flash News : https://data.lacounty.gov/groups/ab2c44c67c78400aaabfaa414f2deffb Biden last Talk : https://data.lacounty.gov/groups/bfab507453c44cd0a81dbdae69305fcd Russian Ukrain Breaking News : https://data.lacounty.gov/groups/bea484f911a94a2ea5a9ddb04a15ea4a Other Sources : https://data.lacounty.gov/groups/b72c28855c804f939a361d2ae1889d42 https://data.lacounty.gov/groups/728f12b842664a368ce4497a2230af22 https://data.lacounty.gov/groups/af034538dd4946928e76ce709fd74fb1 https://data.lacounty.gov/groups/3013a2d98f4d4b94ba2a3a5279995520 https://data.lacounty.gov/groups/a515c3b6f9154667b06ca76be132ce16 https://data.lacounty.gov/groups/f3767f687c3748008bfb24866d36d3a2 https://data.lacounty.gov/groups/57003d2703314efdaa38e9d8764b9fc9 https://data.lacounty.gov/groups/9f48c48825d042f8b3ef290e70c8a114 https://data.lacounty.gov/groups/4d4b58801df84a948971c9df17f95755 https://data.iowadot.gov/groups/c694ecb730004c149bcba1351d44a8a4 https://data.iowadot.gov/groups/3281a2ff349d4f889acb99fcbb8a2603 https://data.lacounty.gov/groups/93a3a2660c274b478cbf762ff0750f5f https://data.iowadot.gov/groups/01f3c942b4b44a8585262b0b42b6febd https://data.lacounty.gov/groups/a61893ea71f749928f5ff962cb539c00 Washington, DC, Aug. 01, 2024 (GLOBE NEWSWIRE) -- AmeriCorps, the federal agency for national service and volunteering, is proud to announce the recipients of the first ever AmeriCorps Seniors Convening Awards. This prestigious accolade recognizes program directors who have made significant contributions to their communities by leveraging volunteer service to address local challenges that align with national priorities. Its annual service awards recognize outstanding contributions to community service and volunteerism across the nation. "AmeriCorps Seniors volunteers change lives," said Michael D. Smith, CEO, AmeriCorps. "Through AmeriCorps Seniors Foster Grandparents, Senior Companions and RSVP, these awardees exemplify how this coming together enriches our communities, strengthens social ties, and builds a sense of respect and understanding among us." "In a testament to the power of dedication and service, these AmeriCorps Seniors awardees truly set the bar higher for us all," said Carly Bruder, the Acting Chief Program Officer of AmeriCorps. "AmeriCorps Seniors, with their experience and sage wisdom, continue to stand at the forefront of service and volunteerism, creating change across the nation's communities." Impactful Service Award honors program directors who have significantly impacted their communities through volunteer service addressing local challenges that are also national priorities. Recipients: Shelida Purnell, Foster Grandparent Program, Community Action of Greater Indianapolis, and Jeannie Leal, City of Corpus Christi Senior Companion Program Shelida Purnell, an innovator committed to enhancing social and physical health, secured a $100,000 grant from Congressman Andre Carson. Utilizing these funds, she organized successful community initiatives, including two 3Ks, a 5K, and a Senior Health Fair. These events, which featured coaching on safe workouts and healthy eating, significantly benefited participants' health, leading to weight loss and reduced dependence on medication. The programs attracted over 200 attendees and 40 health-related vendors, promoting community engagement and the formation of accountability groups for sustained healthy living. Jeannie Leal is known for her dedication to the Corpus Christi community, Jeannie utilized volunteerism to ensure inclusive access to books and nature. She initiated a book club for visually impaired individuals and launched the City of Corpus Christi Parks and Recreation Passport program, promoting outdoor activities and civic engagement. Her efforts have significantly improved community engagement and the quality of life for older adults. This initiative not only promoted the joy of reading but also fostered social connections. Inclusive Service Award recognizes individuals who improve equity and accessibility in older adult volunteerism. Recipient: Tina Brown, Dignity Health Connected Living, Oaks Drive, Redding, CA Amid the pandemic, Tina Brown bridged the digital divide by teaching Foster Grandparent and Senior Companion volunteers how to use laptops and Zoom. She also held in-service trainings and recognition events, ensuring volunteers stayed connected and appreciated. Tina is honored with the Inclusive Service Award for her intentional efforts to improve equity and accessibility in older adult volunteerism. She also ensured inclusion through monthly in-service trainings and drive-thru recognition events, maintaining social connections and appreciation for volunteers. Influential Service Award recognizes directors who exemplify strong leadership and civic engagement. Recipient: Stacy Venteicher, Carroll County RSVP, Glidden, Iowa Stacy Venteicher's visionary leadership expanded her program's reach and impact, developing a comprehensive volunteer training initiative that empowered older adults to serve effectively and take on leadership roles. Her commitment to civic engagement and challenging stereotypes about aging has made older adults valuable, active community members. Under her guidance, her program has expanded its reach, enhancing volunteer training initiatives and challenging stereotypes about aging. Stacy's advocacy for older adults and collaboration with other directors has significantly impacted her community and beyond. Innovative Service Award recognizes program directors who creatively address community needs through new service activities. Recipient: Michelle Moll, Exec. Dir., King of Prussia, PA Michelle Moll receives the Innovative Service Award for her creative approaches to addressing community needs through volunteer programs. Over the past 15 years, Michelle has revitalized critical programs, including the "Digital Literacy" initiative, which has expanded to serve multiple generations struggling with technology. Her innovative leadership has earned her recognition for bridging the digital divide and enhancing community wellness. Michelle has expanded critical community programs across four counties. Her Digital Literacy program, initially aimed at combating isolation during the pandemic, now serves multiple generations, helping over 450 community members understand technology. Michelle's innovation bridges the digital divide and creates impactful service opportunities. Life of Service Award honors individuals with over 20 years of service in promoting older adult volunteerism. Recipient: Betty Ruth (40+ years), Exec. Dir., RSVP, Athens, AL Betty Ruth has over 40 years dedicated to serving older adults, Betty has been a strong advocate in Congress and her home state's legislature. Betty's extensive contributions include serving on the Alabama Department of Senior Services Board of Directors and as a delegate to the White House Conference on Aging. She has led efforts to ensure meaningful volunteer opportunities for older adults and cultivated ethical leaders in the community. Embodying a life of service, her leadership and advocacy have cultivated a community of ethical leaders committed to meaningful volunteer opportunities for older adults. Legacy of Leadership Award recognizes a dedicated champion of AmeriCorps Seniors programs and older adult volunteers. Recipient: Edwin L. Walker, Former (March) Deputy Assistant Secretary for Aging, Administration on Aging For the first time, AmeriCorps Seniors presents the Legacy of Leadership Award to Edwin L. Walker for his tireless dedication to aging policy, program development, and advocacy. Edwin's career has been marked by his commitment to supporting older adults and engaging them as providers of services. His leadership has shaped national and international aging networks, leaving a profound legacy. Edwin's career has been dedicated to preserving the dignity of older adults, their families, and caregivers. His leadership in policy, program development, and research has significantly supported older adults nationwide. Edwin's unwavering commitment to outstanding leadership has left a legacy impact. "The impact that AmeriCorps Seniors volunteers have on communities is incredible and the project directors that lead these programs create the foundation for that impact," said Atalaya Sergi, the Director of AmeriCorps Seniors. "They not only show a deep dedication to their communities, but to the volunteers they support, and we are grateful for all they do day in and day out to get things done for America. We also could not do the work of AmeriCorps Seniors without our partners and this year we wanted to recognize Edwin Walker, who has been a longtime and steadfast supporter of AmeriCorps Seniors." For more information on AmeriCorps Seniors and its programs, visit AmeriCorps.gov\/Seniors. Disclaimer: The above press release comes to you under an arrangement with GlobeNewswire. Business Upturn takes no editorial responsibility for the same.....

danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-4.0-data_subsetting-peft-bitfit

danielkty22

Entry not found

PranavKeshav/reactgpt-1.0

PranavKeshav

peft

--- base_model: google/codegemma-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

danielkty22/gpt2-lr-0.0001-bs-16-wd-0.001-e-4.0-data_subsetting-peft-none

danielkty22

Entry not found

growth-cadet/qwen2-15b-rewritequery_orpo3

growth-cadet

Entry not found

Krabat/google-gemma-2b-1722629428

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

SergioR12/ImagenesAI

SergioR12

Entry not found

ericlewis/SmolLM-1.7B-Instruct-KTO

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)

Beijuka/parakeet-0.6b-NCHLT_Speech_corpus-xhosa-20hr_v5

Beijuka

nemo

--- license: cc-by-4.0 library_name: nemo tags: - pytorch - NeMo --- # Parakeet-0.6b-nchlt Speech Corpus-xhosa-20hr V5 <style> img { display: inline; } </style> [](#model-architecture) | [](#model-architecture) | [](#datasets) **Put a short model description here.** See the [model architecture](#model-architecture) section and [NeMo documentation](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/index.html) for complete architecture details. ## NVIDIA NeMo: Training To train, fine-tune or play with the model you will need to install [NVIDIA NeMo](https://github.com/NVIDIA/NeMo). We recommend you install it after you've installed latest Pytorch version. ``` pip install nemo_toolkit['all'] ``` ## How to Use this Model The model is available for use in the NeMo toolkit [3], and can be used as a pre-trained checkpoint for inference or for fine-tuning on another dataset. ### Automatically instantiate the model **NOTE**: Please update the model class below to match the class of the model being uploaded. ```python import nemo.core import ModelPT model = ModelPT.from_pretrained("Beijuka/parakeet-0.6b-NCHLT_Speech_corpus-xhosa-20hr_v5") ``` ### NOTE Add some information about how to use the model here. An example is provided for ASR inference below. ### Transcribing using Python First, let's get a sample ``` wget https://dldata-public.s3.us-east-2.amazonaws.com/2086-149220-0033.wav ``` Then simply do: ``` asr_model.transcribe(['2086-149220-0033.wav']) ``` ### Transcribing many audio files ```shell python [NEMO_GIT_FOLDER]/examples/asr/transcribe_speech.py pretrained_name="Beijuka/parakeet-0.6b-NCHLT_Speech_corpus-xhosa-20hr_v5" audio_dir="" ``` ### Input **Add some information about what are the inputs to this model** ### Output **Add some information about what are the outputs of this model** ## Model Architecture **Add information here discussing architectural details of the model or any comments to users about the model.** ## Training **Add information here about how the model was trained. It should be as detailed as possible, potentially including the the link to the script used to train as well as the base config used to train the model. If extraneous scripts are used to prepare the components of the model, please include them here.** ### NOTE An example is provided below for ASR The NeMo toolkit [3] was used for training the models for over several hundred epochs. These model are trained with this [example script](https://github.com/NVIDIA/NeMo/blob/main/examples/asr/asr_transducer/speech_to_text_rnnt_bpe.py) and this [base config](https://github.com/NVIDIA/NeMo/blob/main/examples/asr/conf/fastconformer/fast-conformer_transducer_bpe.yaml). The tokenizers for these models were built using the text transcripts of the train set with this [script](https://github.com/NVIDIA/NeMo/blob/main/scripts/tokenizers/process_asr_text_tokenizer.py). ### Datasets **Try to provide as detailed a list of datasets as possible. If possible, provide links to the datasets on HF by adding it to the manifest section at the top of the README (marked by ---).** ### NOTE An example for the manifest section is provided below for ASR datasets datasets: - librispeech_asr - fisher_corpus - Switchboard-1 - WSJ-0 - WSJ-1 - National-Singapore-Corpus-Part-1 - National-Singapore-Corpus-Part-6 - vctk - voxpopuli - europarl - multilingual_librispeech - mozilla-foundation/common_voice_8_0 - MLCommons/peoples_speech The corresponding text in this section for those datasets is stated below - The model was trained on 64K hours of English speech collected and prepared by NVIDIA NeMo and Suno teams. The training dataset consists of private subset with 40K hours of English speech plus 24K hours from the following public datasets: - Librispeech 960 hours of English speech - Fisher Corpus - Switchboard-1 Dataset - WSJ-0 and WSJ-1 - National Speech Corpus (Part 1, Part 6) - VCTK - VoxPopuli (EN) - Europarl-ASR (EN) - Multilingual Librispeech (MLS EN) - 2,000 hour subset - Mozilla Common Voice (v7.0) - People's Speech - 12,000 hour subset ## Performance **Add information here about the performance of the model. Discuss what is the metric that is being used to evaluate the model and if there are external links explaning the custom metric, please link to it. ### NOTE An example is provided below for ASR metrics list that can be added to the top of the README model-index: - name: PUT_MODEL_NAME results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: AMI (Meetings test) type: edinburghcstr/ami config: ihm split: test args: language: en metrics: - name: Test WER type: wer value: 17.10 - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: Earnings-22 type: revdotcom/earnings22 split: test args: language: en metrics: - name: Test WER type: wer value: 14.11 Provide any caveats about the results presented in the top of the discussion so that nuance is not lost. It should ideally be in a tabular format (you can use the following website to make your tables in markdown format - https://www.tablesgenerator.com/markdown_tables)** ## Limitations **Discuss any practical limitations to the model when being used in real world cases. They can also be legal disclaimers, or discussion regarding the safety of the model (particularly in the case of LLMs).** ### Note An example is provided below Since this model was trained on publicly available speech datasets, the performance of this model might degrade for speech which includes technical terms, or vernacular that the model has not been trained on. The model might also perform worse for accented speech. ## License License to use this model is covered by the [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/). By downloading the public and release version of the model, you accept the terms and conditions of the [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/) license. ## References **Provide appropriate references in the markdown link format below. Please order them numerically.** [1] [NVIDIA NeMo Toolkit](https://github.com/NVIDIA/NeMo)

JuanCamiloMaya/jol

JuanCamiloMaya

Entry not found

RichardErkhov/stabilityai_-_stablelm-2-12b-chat-gguf

RichardErkhov

Entry not found

edthrth/43-German-shepherds-seized-by-BC-SPCA-from-property-near-Prince-George-h4-updated

edthrth

--- language: - en --- []() read the full article here : https://data.lacounty.gov/groups/85390ac3eadd4a16a0df9ce665982c2f Source : https://data.lacounty.gov/groups/822d4ce7bc864288a47d2f6409f87af1 Flash News : https://data.lacounty.gov/groups/d7794f8c49ee4142b8c8162b07aa20d8 Biden last Talk : https://data.iowadot.gov/groups/06a00cdd1e164a25bf09ff3cda45a039 Russian Ukrain Breaking News : https://data.lacounty.gov/groups/d3309f3de7944f2c82348f086d999553 Other Sources : https://data.iowadot.gov/groups/22aba6f9a1fa4da8a9afff42196a879e https://data.iowadot.gov/groups/dd9c5e03371846ab95df5e86e0affe06 https://data.lacounty.gov/groups/eb1fcb15716942438e22ebb1e0e0fa0c https://data.lacounty.gov/groups/af034538dd4946928e76ce709fd74fb1 https://data.lacounty.gov/groups/64e4a44a6aed433dabd5a3e7c2df6dd5 https://data.iowadot.gov/groups/0461d8400f6944b3b01a2d46bd4e2c1d https://data.lacounty.gov/groups/979fdda85abb4d69980e9a96a7040336 https://data.lacounty.gov/groups/dd48cfeaebf0450d9478e312a64f18dc https://data.iowadot.gov/groups/9b3049d821174fa2827941eb6ca93618 https://data.lacounty.gov/groups/d777d94051db48f1a84d814cfbe5be85 https://data.lacounty.gov/groups/a6643ceecfaf4860b3e471e755da15d3 https://data.lacounty.gov/groups/78b1c67bcf0648f1b69a468876bbef12 https://data.iowadot.gov/groups/ddf41be60549428e9c7f10117e489193 https://data.iowadot.gov/groups/07acb41d7bdb414ba78c9d34701d1145 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.....

alexitogs/linkedin_model_LoRA

alexitogs

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:** alexitogs - **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)

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

RichardErkhov

Entry not found

spama2025/gggg

spama2025

Entry not found