Instructions to use Jundot/Qwen3.6-27B-oQ6-mtp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Jundot/Qwen3.6-27B-oQ6-mtp with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3.6-27B-oQ6-mtp Jundot/Qwen3.6-27B-oQ6-mtp
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
This quantization was uploaded on 2026-05-13 and replaces a previous version. If you downloaded this model before this date, please re-download for the updated weights.
Qwen3.6-27B-oQ6-mtp
This model was quantized using oQ (oMLX v0.3.9.dev2) mixed-precision quantization.
Quantization details
- Model type: qwen3_5
- Bits: 6
- Group size: 64
- Format: MLX safetensors
- Downloads last month
- 3,156
Model size
7B params
Tensor type
BF16
·
U32 ·
Hardware compatibility
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6-bit
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# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3.6-27B-oQ6-mtp Jundot/Qwen3.6-27B-oQ6-mtp