How to use mlx-community/Unlimited-OCR-mxfp8 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/Unlimited-OCR-mxfp8") config = load_config("mlx-community/Unlimited-OCR-mxfp8") # 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)
model artifact is incorrectly converted: it embeds a broken tokenizer whose ByteLevel BPE vocabulary was re-saved with a Llama/Metaspace pipeline, causing literal Ġ/Ċ markers and corrupted CJK output.
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