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--- |
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license: apache-2.0 |
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library_name: transformers |
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tags: |
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- trl |
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- sft |
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datasets: |
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- pubmed |
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- bigbio/czi_drsm |
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- bigbio/bc5cdr |
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- bigbio/distemist |
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- pubmed_qa |
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- medmcqa |
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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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## 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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Model 4-bit Mistral-7B-Instruct-v0.2 finetuned with QLoRA on multiple medical datasets. |
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- **License:** [apache-2.0] |
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- **Finetuned from model :** [mistralai/Mistral-7B-Instruct-v0.2] |
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### Model Sources [optional] |
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<!-- Provide the basic links for the model. --> |
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- **Repository:** [https://github.com/atadria/med_llm] |
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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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### Direct Use |
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> |
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[More Information Needed] |
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### Downstream Use [optional] |
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> |
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[More Information Needed] |
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### Out-of-Scope Use |
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> |
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[More Information Needed] |
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## Bias, Risks, and Limitations |
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<!-- This section is meant to convey both technical and sociotechnical limitations. --> |
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[More Information Needed] |
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### Recommendations |
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> |
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. |
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## How to Get Started with the Model |
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Use the code below to get started with the model. |
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[More Information Needed] |
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## Training Details |
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### Training Data |
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<!-- 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. --> |
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Training data included 15k examples randomly selected from datasets: |
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- pubmed |
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- bigbio/czi_drsm |
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- bigbio/bc5cdr |
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- bigbio/distemist |
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- pubmed_qa |
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- medmcqa |
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