Instructions to use scottlowry/Qwen3.5-122B-A10B-oQ4e-fp16-mtp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use scottlowry/Qwen3.5-122B-A10B-oQ4e-fp16-mtp with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download scottlowry/Qwen3.5-122B-A10B-oQ4e-fp16-mtp --local-dir Qwen3.5-122B-A10B-oQ4e-fp16-mtp
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
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Download README.md from scottlowry/Qwen3.5-122B-A10B-oQ4e-fp16-mtp: direct link, hf CLI and curl.
- Browser
- Download file 360 Bytes
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https://huggingface.co/scottlowry/Qwen3.5-122B-A10B-oQ4e-fp16-mtp/resolve/main/README.md
- Command line
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hf download hf://scottlowry/Qwen3.5-122B-A10B-oQ4e-fp16-mtp/README.md
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curl -L -o README.md https://huggingface.co/scottlowry/Qwen3.5-122B-A10B-oQ4e-fp16-mtp/resolve/main/README.md
360 Bytes
| library_name: mlx | |
| tags: | |
| - mlx | |
| - oq | |
| - quantized | |
| base_model: | |
| - Qwen/Qwen3.5-122B-A10B | |
| # Qwen3.5-122B-A10B-oQ4e-fp16-mtp | |
| This model was quantized using [oQ](https://github.com/jundot/omlx) (oMLX v0.5.3) mixed-precision quantization. | |
| ## Quantization details | |
| - **Model type**: qwen3_5_moe | |
| - **Bits**: 4 | |
| - **Group size**: 64 | |
| - **Format**: MLX safetensors |