from mlx_lm import load, generate

model, tokenizer = load("Jackrong/MLX-Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-MLX-4bit")

prompt = "hello"

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

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

wbkou/Qwen3.5-27B-Claude-4.6-Opus-Distilled-4bit-MLX

Jackrong/MLX-Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-MLX-4bit

Use with mlx

wbkou/
Qwen3.5-27B-Claude-4.6-Opus-Distilled-4bit-MLX