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Qwen3.5-27B-Claude-4.6-Opus-Distilled-4bit-MLX
wbkou/Qwen3.5-27B-Claude-4.6-Opus-Distilled-4bit-MLX
Qwen3.5-27B-Claude-4.6-Opus-Distilled-4bit-MLX is a text generation model from wbkou. Use it when you need the model to write or continue text. It is set up for mlx. The card lists the license as lgpl-3.0.
This model Jackrong/MLX-Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-MLX-4bit was converted to MLX format from Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled
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26.9B
15.2 GB on disk
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.safetensors15.1 GB · 100%
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From the Hugging Face model README
Jackrong/MLX-Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-MLX-4bit
This model Jackrong/MLX-Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-MLX-4bit 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
pip install mlx-lm
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)
- Task
- Text Generation
- Library
- mlx
- Type
- qwen3_5
- License
- lgpl-3.0
- Languages
- en, zh
- Created
- Mar 11, 2026
- Updated
- Mar 11, 2026