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RESMP-DEV
/
LFM2.5-Encoder-350M-Code-MXFP4-GPTQ

Feature Extraction
MLX
Safetensors
lfm2
code
embeddings
mxfp4
gptq
quantized
custom_code
Model card Files Files and versions
xet
Community

Instructions to use RESMP-DEV/LFM2.5-Encoder-350M-Code-MXFP4-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-350M-Code-MXFP4-GPTQ with MLX:

    # Download the model from the Hub
    pip install huggingface_hub[hf_xet]
    
    huggingface-cli download --local-dir LFM2.5-Encoder-350M-Code-MXFP4-GPTQ RESMP-DEV/LFM2.5-Encoder-350M-Code-MXFP4-GPTQ
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • LM Studio
LFM2.5-Encoder-350M-Code-MXFP4-GPTQ / 1_Pooling
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  • 1 contributor
History: 1 commit
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Kearm
Add files using upload-large-folder tool
c8aa707 verified 4 days ago
  • config.json
    298 Bytes
    Add files using upload-large-folder tool 4 days ago