JSL-MedMNX-7B-v2.0

This model is developed by John Snow Labs. Performance on biomedical benchmarks: Open Medical LLM Leaderboard.

This model is available under a CC-BY-NC-ND license and must also conform to this Acceptable Use Policy. If you need to license this model for commercial use, please contact us at [email protected].

💻 Usage

!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