Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-v2 is the second iteration of the reasoning-focused Qwen3.5-27B fine-tune. It's built on top of Qwen3.5-27B and fine-tuned with Unsloth using distilled reasoning data from Claude 4.6 Opus. This model has been #1 trending on HuggingFace for 3 weeks.
Key improvements in v2:
More efficient chain-of-thought generation
Improved reasoning across science, math, and instruction-following
MLX is Apple's native machine learning framework for Apple Silicon. On an M1 Ultra Mac Studio (128GB), this model runs at 28.9 tokens/sec compared to 19.9 tok/s for the equivalent GGUF Q4_K_M. That's a 45% speed improvement for free, just by using the right format for your hardware.
Benchmark Results
Controlled test: LM Studio, one model loaded at a time, 10 runs each with different prompts, 512 max tokens.
Format
Avg tok/s
Std Dev
Min
Max
MLX 4-bit
28.9
0.11
28.8
29.1
GGUF Q4_K_M
19.9
0.03
19.9
19.9
Hardware: M1 Ultra, 128GB unified memory.
How to Use
LM Studio
Download and place in your LM Studio models directory. LM Studio auto-detects MLX models.
