metadata
base_model: Qwen/QwQ-32B-Preview
language:
- en
library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/Qwen/QwQ-32B-Preview/blob/main/LICENSE
pipeline_tag: text-generation
tags:
- chat
- mlx
mlx-community/QwQ-32B-Preview-3bit
The Model mlx-community/QwQ-32B-Preview-3bit was converted to MLX format from Qwen/QwQ-32B-Preview 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/QwQ-32B-Preview-3bit")
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)