README.md

metadata

base_model: medicalai/MedFound-Llama3-8B-finetuned
license: afl-3.0
tags:
  - medical
  - mlx

mlx-community/MedFound-Llama3-8B-finetuned

The Model mlx-community/MedFound-Llama3-8B-finetuned was converted to MLX format from medicalai/MedFound-Llama3-8B-finetuned using mlx-lm version 0.20.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/MedFound-Llama3-8B-finetuned")

prompt="hello"

if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)