JSL MedMNX 7B

🚀 JSL-MedMNX-7B

JSL-MedMNX-7B is a 7-billion parameter model developed by John Snow Labs. It is trained on medical datasets to offer state-of-the-art performance on biomedical benchmarks, such as the Open Medical LLM Leaderboard.

This model is available under a CC-BY-NC-ND license and must comply with this Acceptable Use Policy. If you need to license this model for commercial use, please contact us at info@johnsnowlabs.com.

🚀 Quick Start

The following shows how to quickly start using the JSL - MedMNX - 7B model.

💻 Usage Examples

Basic Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "johnsnowlabs/JSL-MedMNX-7B"
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

The following tables show the evaluation results of the JSL - MedMNX - 7B model on different tasks.

Task - based Evaluation

Group - based Evaluation