Instructions to use dicksondickson/Swift-1.5-Qwen3.8-27b-oQ8e-fp16-mtp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use dicksondickson/Swift-1.5-Qwen3.8-27b-oQ8e-fp16-mtp with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Swift-1.5-Qwen3.8-27b-oQ8e-fp16-mtp dicksondickson/Swift-1.5-Qwen3.8-27b-oQ8e-fp16-mtp
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
dicksondickson/Swift-1.5-Qwen3.8-27b-oQ8e-fp16-mtp
This model is a quantization of: https://huggingface.co/ukisai/Swift-1.5-Qwen3.8-27b
This checkpoint was quantized using oMLX 0.7.0rc1 with imatrix enabled.
FP16 is for M1/M2 chips. For M3/M4/M5 use the BF16 variant:
https://huggingface.co/dicksondickson/Swift-1.5-Qwen3.8-27b-oQ8e-bf16-mtp-MLX
Run the model using oMLX: https://github.com/jundot/omlx
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Model size
28B params
Tensor type
U32
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F16 ·
F32 ·
Hardware compatibility
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