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Qwen3.6-27B-Claude-Opus-Reasoning-Distilled-MLX
ethicalvats/Qwen3.6-27B-Claude-Opus-Reasoning-Distilled-MLX
Qwen3.6-27B-Claude-Opus-Reasoning-Distilled-MLX is a machine learning model from ethicalvats. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as apache-2.0.
This repository contains the LoRA adapter weights fine-tuned on mlx-community/Qwen3.6-27B-4bit.
Access
Public
Updated Jun 30, 2026
Repo size
39.9 MB
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1
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Repo makeup
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At a glance
- Library
- mlx
- License
- apache-2.0
- Access
- Public
- Created
- Jun 30, 2026
- Updated
- Jun 30, 2026
- SHA
- 47e795b0
Base models
Model card
From the Hugging Face model README
Qwen 3.6 27B Claude Opus Reasoning Distilled (MLX Adapters)
This repository contains the LoRA adapter weights fine-tuned on mlx-community/Qwen3.6-27B-4bit.
These adapters are kept in high-precision float16 format to prevent the quality degradation and quantization noise that occurs when fusing adapters directly into a 4-bit quantized base model.
How to use in MLX
from mlx_lm import load, generate
# Loading the base model and applying the high-precision adapters at runtime
model, tokenizer = load(
"mlx-community/Qwen3.6-27B-4bit",
adapter_path="ethicalvats/Qwen3.6-27B-Claude-Opus-Reasoning-Distilled-MLX"
)
response = generate(
model,
tokenizer,
prompt="<|im_start|>user\nWhat is the oldest tree?<|im_end|>\n<|im_start|>assistant\n<think>\n",
verbose=True
)
- Library
- mlx
- License
- apache-2.0
- Created
- Jun 30, 2026
- Updated
- Jun 30, 2026