README.md

metadata

library_name: mlx
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3-235B-A22B-Thinking-2507/blob/main/LICENSE
pipeline_tag: text-generation
base_model: Qwen/Qwen3-235B-A22B-Thinking-2507
tags:
  - mlx

sjug/Qwen3-235B-A22B-Thinking-2507-MLX-9bit

This model sjug/Qwen3-235B-A22B-Thinking-2507-MLX-9bit was converted to MLX format from Qwen/Qwen3-235B-A22B-Thinking-2507 using mlx-lm version 0.26.0.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("sjug/Qwen3-235B-A22B-Thinking-2507-MLX-9bit")

prompt = "hello"

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

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