66 lines
2.8 KiB
Markdown
66 lines
2.8 KiB
Markdown
---
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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-MedLlama-3-8B-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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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-MedLlama-3-8B-v2.0"
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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 |0.6466|± |0.0056|
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| | |none | 0|acc_norm|0.6124|± |0.0066|
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| - medmcqa |Yaml |none | 0|acc |0.6118|± |0.0075|
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| | |none | 0|acc_norm|0.6118|± |0.0075|
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| - medqa_4options |Yaml |none | 0|acc |0.6143|± |0.0136|
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| | |none | 0|acc_norm|0.6143|± |0.0136|
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| - anatomy (mmlu) | 0|none | 0|acc |0.7185|± |0.0389|
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| - clinical_knowledge (mmlu) | 0|none | 0|acc |0.7811|± |0.0254|
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| - college_biology (mmlu) | 0|none | 0|acc |0.8264|± |0.0317|
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| - college_medicine (mmlu) | 0|none | 0|acc |0.7110|± |0.0346|
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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 |0.7868|± |0.0249|
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| - pubmedqa | 1|none | 0|acc |0.7420|± |0.0196|
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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 |0.6466|± |0.0056|
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| | |none | 0|acc_norm|0.6124|± |0.0066| |