Instructions to use RESMP-DEV/LFM2.5-Encoder-230M-Code-MXFP8-GPTQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use RESMP-DEV/LFM2.5-Encoder-230M-Code-MXFP8-GPTQ with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir LFM2.5-Encoder-230M-Code-MXFP8-GPTQ RESMP-DEV/LFM2.5-Encoder-230M-Code-MXFP8-GPTQ
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
File size: 134 Bytes
461c011 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:42b45915f2458b1ec551a2ac89133b7ae280a3203c62c13f91ce2ee3b1f2b9b3
size 301958320
|