MLX
Safetensors
qwen3_5_moe
oQe
enhanced
mixed-precision
reasoning
distilled
Mixture of Experts
8-bit precision
Instructions to use splats/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-oQ8e-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use splats/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-oQ8e-fp16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-oQ8e-fp16 splats/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-oQ8e-fp16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-oQ8e-fp16
This model was quantized using oQ (oMLX v0.3.8) mixed-precision quantization.
Quantization details
- Model type: qwen3_5_moe
- Bits: 8
- Group size: 64
- Format: MLX safetensors
- Downloads last month
- 664
Model size
10B params
Tensor type
F16
·
U32 ·
Hardware compatibility
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8-bit
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Model tree for splats/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-oQ8e-fp16
Base model
Qwen/Qwen3.6-35B-A3B