Instructions to use Lowkey-Loki/OlympicCoder-7B-mlx-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Lowkey-Loki/OlympicCoder-7B-mlx-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir OlympicCoder-7B-mlx-8bit Lowkey-Loki/OlympicCoder-7B-mlx-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
Quantized 8bit MLX version of: https://huggingface.co/open-r1/OlympicCoder-7B
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Model size
2B params
Tensor type
F16
·
U32 ·
Hardware compatibility
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8-bit
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Model tree for Lowkey-Loki/OlympicCoder-7B-mlx-8bit
Base model
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open-r1/OlympicCoder-7B