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mlx-community
/
Kimi-K2.6-MoE-Smart-Quant

Image-Text-to-Text
MLX
Safetensors
English
kimi_k25
quantized
moe-aware-quant
conversational
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use mlx-community/Kimi-K2.6-MoE-Smart-Quant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use mlx-community/Kimi-K2.6-MoE-Smart-Quant 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("mlx-community/Kimi-K2.6-MoE-Smart-Quant")
    config = load_config("mlx-community/Kimi-K2.6-MoE-Smart-Quant")
    
    # 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
  • LM Studio
Kimi-K2.6-MoE-Smart-Quant
3.24 kB
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  • 1 contributor
History: 2 commits
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machiabeli
Upload README.md with huggingface_hub
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  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    1.72 kB
    Upload README.md with huggingface_hub about 1 month ago