Instructions to use dicksondickson/gpt-oss-20b-oQ8e-bf16-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use dicksondickson/gpt-oss-20b-oQ8e-bf16-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download dicksondickson/gpt-oss-20b-oQ8e-bf16-MLX --local-dir gpt-oss-20b-oQ8e-bf16-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
dicksondickson/gpt-oss-20b-oQ8e-bf16-MLX
This model is a quantization of:
https://huggingface.co/openai/gpt-oss-20b
This checkpoint was quantized using oMLX 0.7.0 with imatrix enabled.
Important tensors are left at bf16 which is for Apple M3 chips and later.
Run the model using oMLX:
https://github.com/jundot/omlx
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Model size
21B params
Tensor type
U32
·
BF16 ·
Hardware compatibility
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Base model
openai/gpt-oss-20b