Create README.md

README.md

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+---
+tags:
+- llama-3-8b
+- sft
+- medical
+base_model:
+- meta-llama/Meta-Llama-3-8B
+license: cc-by-nc-nd-4.0
+---
+
+# JSL-Med-Sft-Llama-3-8B
+[<img src="https://repository-images.githubusercontent.com/104670986/2e728700-ace4-11ea-9cfc-f3e060b25ddf">](http://www.johnsnowlabs.com)
+
+
+This model is developed by [John Snow Labs](https://www.johnsnowlabs.com/).
+
+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 [email protected].
+
+
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "johnsnowlabs/JSL-Med-Sft-Llama-3-8B"
+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_norm|0.5803|±  |0.0067|
+|                               |       |none  |     0|acc     |0.6141|±  |0.0057|
+| - medmcqa                     |Yaml   |none  |     0|acc     |0.5752|±  |0.0076|
+|                               |       |none  |     0|acc_norm|0.5752|±  |0.0076|
+| - medqa_4options              |Yaml   |none  |     0|acc     |0.5970|±  |0.0138|
+|                               |       |none  |     0|acc_norm|0.5970|±  |0.0138|
+| - anatomy (mmlu)              |      0|none  |     0|acc     |0.6963|±  |0.0397|
+| - clinical_knowledge (mmlu)   |      0|none  |     0|acc     |0.7472|±  |0.0267|
+| - college_biology (mmlu)      |      0|none  |     0|acc     |0.7847|±  |0.0344|
+| - college_medicine (mmlu)     |      0|none  |     0|acc     |0.6185|±  |0.0370|
+| - medical_genetics (mmlu)     |      0|none  |     0|acc     |0.8300|±  |0.0378|
+| - professional_medicine (mmlu)|      0|none  |     0|acc     |0.7022|±  |0.0278|
+| - pubmedqa                    |      1|none  |     0|acc     |0.7480|±  |0.0194|
+
+|Groups|Version|Filter|n-shot| Metric |Value |   |Stderr|
+|------|-------|------|-----:|--------|-----:|---|-----:|
+|stem  |N/A    |none  |     0|acc_norm|0.5803|±  |0.0067|
+|      |       |none  |     0|acc     |0.6141|±  |0.0057|