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smdesai
/
SmolVLM2-2.2B-Instruct-4bit

Video-Text-to-Text
Transformers
Safetensors
MLX
English
smolvlm
image-text-to-text
Model card Files Files and versions
xet
Community

Instructions to use smdesai/SmolVLM2-2.2B-Instruct-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use smdesai/SmolVLM2-2.2B-Instruct-4bit with Transformers:

    # Load model directly
    from transformers import AutoProcessor, AutoModelForImageTextToText
    
    processor = AutoProcessor.from_pretrained("smdesai/SmolVLM2-2.2B-Instruct-4bit")
    model = AutoModelForImageTextToText.from_pretrained("smdesai/SmolVLM2-2.2B-Instruct-4bit")
  • MLX

    How to use smdesai/SmolVLM2-2.2B-Instruct-4bit with MLX:

    # Download the model from the Hub
    pip install huggingface_hub[hf_xet]
    
    huggingface-cli download --local-dir SmolVLM2-2.2B-Instruct-4bit smdesai/SmolVLM2-2.2B-Instruct-4bit
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • LM Studio
SmolVLM2-2.2B-Instruct-4bit
1.46 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
smdesai's picture
smdesai
Upload folder using huggingface_hub
0a4ab66 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    1 kB
    Upload folder using huggingface_hub about 1 year ago
  • added_tokens.json
    4.74 kB
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  • chat_template.json
    430 Bytes
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  • config.json
    10.1 kB
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  • merges.txt
    466 kB
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  • model.safetensors
    1.46 GB
    xet
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  • model.safetensors.index.json
    104 kB
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  • preprocessor_config.json
    599 Bytes
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  • processor_config.json
    67 Bytes
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  • special_tokens_map.json
    868 Bytes
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  • tokenizer.json
    3.55 MB
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  • tokenizer_config.json
    28.6 kB
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  • vocab.json
    801 kB
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