Instructions to use janhq/Jan-v2-VL-high-8bit-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use janhq/Jan-v2-VL-high-8bit-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Jan-v2-VL-high-8bit-mlx janhq/Jan-v2-VL-high-8bit-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- fb343b66b568f2288feb6a413557fea70020e569b4a31b462feeb1c5ab1d5a1a
- Size of remote file:
- 4.51 GB
- SHA256:
- 7a490bcd9da45a29e8e3bea6c334249c09d55435a74f009a5e3769f009f6adc2
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