Instructions to use Youssofal/Qwen3.6-27B-MTPLX-Optimized-Speed-FP16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Youssofal/Qwen3.6-27B-MTPLX-Optimized-Speed-FP16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3.6-27B-MTPLX-Optimized-Speed-FP16 Youssofal/Qwen3.6-27B-MTPLX-Optimized-Speed-FP16
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
Qwen3.6 27B MTPLX Optimized Speed FP16
This is the FP16 sibling artifact for Youssofal/Qwen3.6-27B-MTPLX-Optimized-Speed. It is intended for MTPLX's device-aware default routing on older Apple Silicon systems where FP16 may be preferable to BF16.
MTPLX policy:
- M1/M2 Apple Silicon:
mtplx startmay auto-select this FP16 artifact. - M3/M4/M5 and unknown hardware:
mtplx startkeeps the BF16 Optimized-Speed default. - Explicit
--modelalways overrides automatic routing.
The artifact preserves packed integer/quantized tensors and converts BF16 floating tensors to FP16. See MTPLX_FP16_CONVERSION_MANIFEST.json for tensor-level conversion details and SHA256 checksums.
This model card is deliberately not a universal speed claim. Hardware-specific benchmarks should be reported separately.
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Model size
5B params
Tensor type
F16
·
U32 ·
Hardware compatibility
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