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ekryski
/
FastVLM-0.5B-4bit

MLX
Safetensors
English
llava_qwen2
ffai
quantized
4bit
affine
custom_code
4-bit precision
Model card Files Files and versions
xet
Community

Instructions to use ekryski/FastVLM-0.5B-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use ekryski/FastVLM-0.5B-4bit with MLX:

    # Download the model from the Hub
    pip install huggingface_hub[hf_xet]
    
    huggingface-cli download --local-dir FastVLM-0.5B-4bit ekryski/FastVLM-0.5B-4bit
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • LM Studio
FastVLM-0.5B-4bit
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  • 1 contributor
History: 3 commits
ekryski's picture
ekryski
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  • .gitattributes
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  • README.md
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  • added_tokens.json
    80 Bytes
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  • chat_template.jinja
    1.03 kB
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  • config.json
    4.46 kB
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  • merges.txt
    1.67 MB
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  • model.safetensors
    685 MB
    xet
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  • preprocessor_config.json
    788 Bytes
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  • processor_config.json
    124 Bytes
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  • special_tokens_map.json
    367 Bytes
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    1.12 kB
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  • trainer_state.json
    6.82 MB
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  • vocab.json
    2.78 MB
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