Instructions to use mlx-community/Qwopus3.6-27B-Coder-oQ4-mtp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Qwopus3.6-27B-Coder-oQ4-mtp with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwopus3.6-27B-Coder-oQ4-mtp mlx-community/Qwopus3.6-27B-Coder-oQ4-mtp
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Qwopus3.6-27B-Coder-oQ4-mtp
This model was quantized using oQ (oMLX v0.7.0.dev2) mixed-precision quantization.
Quantization details
- Model type: qwen3_5
- Bits: 4
- Group size: 64
- Format: MLX safetensors
- Downloads last month
- 124
Model size
28B params
Tensor type
U32
·
BF16 ·
Hardware compatibility
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4-bit
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