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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-bf16

The Model mlx-community/QwQ-32B-Preview-bf16 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-bf16")

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)