Modelpublic

cs2764/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-8bit-mlx

sourceHugging Faceapache-2.0updated 7mo agoView on Hugging Face

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Model Card

cs2764/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-8bit-mlx

This model cs2764/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-8bit-mlx was converted to MLX format from Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled using mlx-lm version 0.30.7.

Use with mlx

bash

pip install mlx-lm

python

from mlx_lm import load, generate

model, tokenizer = load("cs2764/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-8bit-mlx")

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)