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itismejk
/
recycle-vlm-4bit

Image-Text-to-Text
MLX
Safetensors
Korean
gemma3
vision-language-model
korean
recycling
conversational
4-bit precision
Model card Files Files and versions
xet
Community

Instructions to use itismejk/recycle-vlm-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use itismejk/recycle-vlm-4bit with MLX:

    # Make sure mlx-vlm is installed
    # pip install --upgrade mlx-vlm
    
    from mlx_vlm import load, generate
    from mlx_vlm.prompt_utils import apply_chat_template
    from mlx_vlm.utils import load_config
    
    # Load the model
    model, processor = load("itismejk/recycle-vlm-4bit")
    config = load_config("itismejk/recycle-vlm-4bit")
    
    # Prepare input
    image = ["http://images.cocodataset.org/val2017/000000039769.jpg"]
    prompt = "Describe this image."
    
    # Apply chat template
    formatted_prompt = apply_chat_template(
        processor, config, prompt, num_images=1
    )
    
    # Generate output
    output = generate(model, processor, formatted_prompt, image)
    print(output)
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • LM Studio
  • Atomic Chat
recycle-vlm-4bit
3.44 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
itismejk's picture
itismejk
Upload tokenizer.model with huggingface_hub
3d10577 verified 29 days ago
  • .gitattributes
    1.57 kB
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  • README.md
    2.11 kB
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  • added_tokens.json
    35 Bytes
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  • chat_template.jinja
    1.53 kB
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  • chat_template.json
    1.62 kB
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  • config.json
    1.14 kB
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  • generation_config.json
    173 Bytes
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  • model.safetensors
    3.4 GB
    xet
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  • model.safetensors.index.json
    122 kB
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  • preprocessor_config.json
    570 Bytes
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  • processor_config.json
    519 Bytes
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  • special_tokens_map.json
    662 Bytes
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  • tokenizer.json
    33.4 MB
    xet
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  • tokenizer.model
    4.69 MB
    xet
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  • tokenizer_config.json
    744 Bytes
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