metadata
base_model: AQ-MedAI/MedResearcher-R1-32B
license: mit
pipeline_tag: text-generation
library_name: transformers
tags:
- mlx
Wwayu/MedResearcher-R1-32B-mlx-6Bit
The Model Wwayu/MedResearcher-R1-32B-mlx-6Bit was converted to MLX format from AQ-MedAI/MedResearcher-R1-32B using mlx-lm version 0.26.4.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Wwayu/MedResearcher-R1-32B-mlx-6Bit")
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)