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--- |
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tags: |
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- llama-3-8b |
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- sft |
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- medical |
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base_model: |
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- meta-llama/Meta-Llama-3-8B |
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license: cc-by-nc-nd-4.0 |
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--- |
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# JSL-Med-Sft-Llama-3-8B |
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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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This model is developed by [John Snow Labs](https://www.johnsnowlabs.com/). |
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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. |
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## 💻 Usage |
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```python |
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!pip install -qU transformers accelerate |
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from transformers import AutoTokenizer |
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import transformers |
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import torch |
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model = "johnsnowlabs/JSL-Med-Sft-Llama-3-8B" |
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messages = [{"role": "user", "content": "What is a large language model?"}] |
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tokenizer = AutoTokenizer.from_pretrained(model) |
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) |
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pipeline = transformers.pipeline( |
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"text-generation", |
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model=model, |
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torch_dtype=torch.float16, |
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device_map="auto", |
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) |
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95) |
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print(outputs[0]["generated_text"]) |
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``` |
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## 🏆 Evaluation |
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| Tasks |Version|Filter|n-shot| Metric |Value | |Stderr| |
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|-------------------------------|-------|------|-----:|--------|-----:|---|-----:| |
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|stem |N/A |none | 0|acc_norm|0.5803|± |0.0067| |
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| | |none | 0|acc |0.6141|± |0.0057| |
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| - medmcqa |Yaml |none | 0|acc |0.5752|± |0.0076| |
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| | |none | 0|acc_norm|0.5752|± |0.0076| |
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| - medqa_4options |Yaml |none | 0|acc |0.5970|± |0.0138| |
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| | |none | 0|acc_norm|0.5970|± |0.0138| |
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| - anatomy (mmlu) | 0|none | 0|acc |0.6963|± |0.0397| |
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| - clinical_knowledge (mmlu) | 0|none | 0|acc |0.7472|± |0.0267| |
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| - college_biology (mmlu) | 0|none | 0|acc |0.7847|± |0.0344| |
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| - college_medicine (mmlu) | 0|none | 0|acc |0.6185|± |0.0370| |
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| - medical_genetics (mmlu) | 0|none | 0|acc |0.8300|± |0.0378| |
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| - professional_medicine (mmlu)| 0|none | 0|acc |0.7022|± |0.0278| |
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| - pubmedqa | 1|none | 0|acc |0.7480|± |0.0194| |
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|Groups|Version|Filter|n-shot| Metric |Value | |Stderr| |
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|------|-------|------|-----:|--------|-----:|---|-----:| |
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|stem |N/A |none | 0|acc_norm|0.5803|± |0.0067| |
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| | |none | 0|acc |0.6141|± |0.0057| |
