Create README.md

README.md

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+---
+license: cc-by-nc-nd-4.0
+language:
+- en
+library_name: transformers
+tags:
+- reward model
+- RLHF
+- medical
+---
+
+# JSL-MedMNX-7B-SFT
+
+JSL-MedMNX-7B-SFT is an SFT - finetuned on an alpaca format 11k medical dataset over the base model [JSL-MedMNX-7B](https://huggingface.co/johnsnowlabs/JSL-MedMNX-7B). This model is on average 2 points better than the base model on [Open Medical LLM Leaderboard](https://huggingface.co/spaces/openlifescienceai/open_medical_llm_leaderboard).
+
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/64fc6d81d75293f417fee1d1/fPuZ58tLhZd7wMHZCkWKW.jpeg)
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "johnsnowlabs/JSL-MedMNX-7B-SFT"
+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|0.5209|±  |0.0068|
+|                               |       |none  |     0|acc     |0.5675|±  |0.0058|
+| - medmcqa                     |Yaml   |none  |     0|acc     |0.5152|±  |0.0077|
+|                               |       |none  |     0|acc_norm|0.5152|±  |0.0077|
+| - medqa_4options              |Yaml   |none  |     0|acc     |0.5397|±  |0.0140|
+|                               |       |none  |     0|acc_norm|0.5397|±  |0.0140|
+| - anatomy (mmlu)              |      0|none  |     0|acc     |0.6593|±  |0.0409|
+| - clinical_knowledge (mmlu)   |      0|none  |     0|acc     |0.7245|±  |0.0275|
+| - college_biology (mmlu)      |      0|none  |     0|acc     |0.7431|±  |0.0365|
+| - college_medicine (mmlu)     |      0|none  |     0|acc     |0.6532|±  |0.0363|
+| - medical_genetics (mmlu)     |      0|none  |     0|acc     |0.7300|±  |0.0446|
+| - professional_medicine (mmlu)|      0|none  |     0|acc     |0.7206|±  |0.0273|
+| - pubmedqa                    |      1|none  |     0|acc     |0.7720|±  |0.0188|
+
+|Groups|Version|Filter|n-shot| Metric |Value |   |Stderr|
+|------|-------|------|-----:|--------|-----:|---|-----:|
+|stem  |N/A    |none  |     0|acc_norm|0.5209|±  |0.0068|
+|      |       |none  |     0|acc     |0.5675|±  |0.0058|