Instructions to use brainworkup/LFM2.5-VL-3B-MLX-oQ8e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use brainworkup/LFM2.5-VL-3B-MLX-oQ8e with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir LFM2.5-VL-3B-MLX-oQ8e brainworkup/LFM2.5-VL-3B-MLX-oQ8e
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
| library_name: mlx | |
| tags: | |
| - mlx | |
| - oq | |
| - quantized | |
| # LFM2.5-VL-3B-MLX-oQ8e | |
| This model was quantized using [oQ](https://github.com/jundot/omlx) (oMLX v0.6.2) mixed-precision quantization. | |
| ## Quantization details | |
| - **Model type**: lfm2_vl | |
| - **Bits**: 8 | |
| - **Group size**: 64 | |
| - **Format**: MLX safetensors | |