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)
https://huggingface.co/AXONVERTEX-AI-RESEARCH/Shieldstral-1.0-3B-MLX-4bit/resolve/main/generation_config.json
hf download hf://AXONVERTEX-AI-RESEARCH/Shieldstral-1.0-3B-MLX-4bit/generation_config.json
curl -L -o generation_config.json https://huggingface.co/AXONVERTEX-AI-RESEARCH/Shieldstral-1.0-3B-MLX-4bit/resolve/main/generation_config.json
