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inferencerlabs
/
Qwen3.6-27B-MTP-MLX

Image-Text-to-Text
MLX
Safetensors
English
qwen3_5_mtp
mtp
speculative-decoding
draft-model
Model card Files Files and versions
xet
Community
1

Instructions to use inferencerlabs/Qwen3.6-27B-MTP-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use inferencerlabs/Qwen3.6-27B-MTP-MLX 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("inferencerlabs/Qwen3.6-27B-MTP-MLX")
    config = load_config("inferencerlabs/Qwen3.6-27B-MTP-MLX")
    
    # 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
Qwen3.6-27B-MTP-MLX
849 MB
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  • 1 contributor
History: 1 commit
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  • .gitattributes
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  • README.md
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  • config.json
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  • model.safetensors
    849 MB
    xet
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