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
)

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Hardware compatibility

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Model tree for ethicalvats/Qwen3.6-27B-Claude-Opus-Reasoning-Distilled-MLX

Base model

Qwen/Qwen3.6-27B

Quantized

mlx-community/Qwen3.6-27B-4bit

Adapter

(2)

this model