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language: |
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- en |
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base_model: |
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- unsloth/DeepSeek-R1-Distill-Llama-8B-GGUF |
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pipeline_tag: question-answering |
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extra_gated_prompt: "You agree to not use the model to conduct experiments that cause harm to human subjects." |
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extra_gated_fields: |
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Company: text |
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What do you plan to use this model for?: text |
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--- |
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# Model Card for Model ID |
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<!-- Provide a quick summary of what the model is/does. --> |
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This model has been finetuned on patient records from over 10,000 patients, with full histories. It's been specifically tuned on summarisation, basic QA for extraction, and reasoned hypothesis for causation for medical-legal usecases. |
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## Model Details |
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### Model Description |
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<!-- Provide a longer summary of what this model is. --> |
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- **Developed by:** whyhow.ai |
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- **Model type:** DeepSeek R1 Distill Llama 8B |
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- **Article:** https://medium.com/enterprise-rag/introducing-patientseek-the-first-open-source-med-legal-deepseek-reasoning-model-74f98e9608ae |
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### Model Sources [optional] |
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<!-- Provide the basic links for the model. --> |
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- **Repository:** https://huggingface.co/unsloth/DeepSeek-R1-Distill-Llama-8B-GGUF |
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## Uses |
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> |
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Used for summarising one to many medical records for patients, for basic QA of medical records, and for hypothesis testing in the form of associative reasoning. |
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## How to Get Started with the Model |
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The best instructions on how to run are here: https://unsloth.ai/blog/deepseek-r1 |
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## Model Card Contact |
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Email us at [email protected]. |
