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AXONVERTEX-AI-RESEARCH
/
Shieldstral-1.0-3B-MLX-4bit

Image-Text-to-Text
Safetensors
MLX
mlx-vlm
mistral3
apple-silicon
pixtral
guardrail
content-moderation
safety-classification
multimodal
4-bit precision
conversational
Model card Files Files and versions
xet
Community

Instructions to use AXONVERTEX-AI-RESEARCH/Shieldstral-1.0-3B-MLX-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use AXONVERTEX-AI-RESEARCH/Shieldstral-1.0-3B-MLX-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("AXONVERTEX-AI-RESEARCH/Shieldstral-1.0-3B-MLX-4bit")
    config = load_config("AXONVERTEX-AI-RESEARCH/Shieldstral-1.0-3B-MLX-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
Shieldstral-1.0-3B-MLX-4bit / evals
171 kB
Ctrl+K
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  • 1 contributor
History: 3 commits
AXONVERTEX-AI-RESEARCH's picture
AXONVERTEX-AI-RESEARCH
Replace with clean Apple MLX 4-bit model release
f7e362d verified 22 days ago
  • cases.jsonl
    2.1 kB
    Upload folder using huggingface_hub 22 days ago
  • hierarchy_contrastive_180.jsonl
    164 kB
    Replace with clean Apple MLX 4-bit model release 22 days ago
  • paper_alignment.jsonl
    2.14 kB
    Upload folder using huggingface_hub 22 days ago
  • source_exact_case_scenario_cat001.jsonl
    2.16 kB
    Replace with clean Apple MLX 4-bit model release 22 days ago