| --- |
| license: cc-by-nc-nd-4.0 |
| language: |
| - en |
| library_name: transformers |
| tags: |
| - reward model |
| - RLHF |
| - medical |
| --- |
| |
| # JSL-MedMNX-7B-v2.0 |
|
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| [<img src="https://repository-images.githubusercontent.com/104670986/2e728700-ace4-11ea-9cfc-f3e060b25ddf">](http://www.johnsnowlabs.com) |
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|
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| This model is developed by [John Snow Labs](https://www.johnsnowlabs.com/). |
| Performance on biomedical benchmarks: [Open Medical LLM Leaderboard](https://huggingface.co/spaces/openlifescienceai/open_medical_llm_leaderboard). |
|
|
| This model is available under a [CC-BY-NC-ND](https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en) license and must also conform to this [Acceptable Use Policy](https://huggingface.co/johnsnowlabs). If you need to license this model for commercial use, please contact us at info@johnsnowlabs.com. |
|
|
| ## 💻 Usage |
|
|
| ```python |
| !pip install -qU transformers accelerate |
| |
| from transformers import AutoTokenizer |
| import transformers |
| import torch |
| |
| model = "johnsnowlabs/JSL-MedMNX-7B-v2.0" |
| messages = [{"role": "user", "content": "What is a large language model?"}] |
| |
| tokenizer = AutoTokenizer.from_pretrained(model) |
| prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) |
| pipeline = transformers.pipeline( |
| "text-generation", |
| model=model, |
| torch_dtype=torch.float16, |
| device_map="auto", |
| ) |
| |
| outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95) |
| print(outputs[0]["generated_text"]) |
| ``` |
|
|
| ## 🏆 Evaluation |
|
|
| | Tasks |Version|Filter|n-shot| Metric |Value | |Stderr| |
| |-------------------------------|-------|------|-----:|--------|-----:|---|-----:| |
| |stem |N/A |none | 0|acc |0.6085|± |0.0057| |
| | | |none | 0|acc_norm|0.5700|± |0.0067| |
| | - medmcqa |Yaml |none | 0|acc |0.5625|± |0.0077| |
| | | |none | 0|acc_norm|0.5625|± |0.0077| |
| | - medqa_4options |Yaml |none | 0|acc |0.5947|± |0.0138| |
| | | |none | 0|acc_norm|0.5947|± |0.0138| |
| | - anatomy (mmlu) | 0|none | 0|acc |0.6444|± |0.0414| |
| | - clinical_knowledge (mmlu) | 0|none | 0|acc |0.7509|± |0.0266| |
| | - college_biology (mmlu) | 0|none | 0|acc |0.7639|± |0.0355| |
| | - college_medicine (mmlu) | 0|none | 0|acc |0.6532|± |0.0363| |
| | - medical_genetics (mmlu) | 0|none | 0|acc |0.7500|± |0.0435| |
| | - professional_medicine (mmlu)| 0|none | 0|acc |0.7537|± |0.0262| |
| | - pubmedqa | 1|none | 0|acc |0.7760|± |0.0187| |
| |
| |Groups|Version|Filter|n-shot| Metric |Value | |Stderr| |
| |------|-------|------|-----:|--------|-----:|---|-----:| |
| |stem |N/A |none | 0|acc |0.6085|± |0.0057| |
| | | |none | 0|acc_norm|0.5700|± |0.0067| |
|
|
