--- library_name: transformers license: apache-2.0 datasets: - HuggingFaceM4/the_cauldron - HuggingFaceM4/Docmatix pipeline_tag: image-text-to-text language: - en base_model: - HuggingFaceTB/SmolLM2-360M-Instruct - google/siglip-base-patch16-512 tags: - mlx --- # mlx-community/SmolVLM-500M-Instruct-8bit This model was converted to MLX format from [`HuggingFaceTB/SmolVLM-500M-Instruct`]() using mlx-vlm version **0.1.11**. Refer to the [original model card](https://huggingface.co/HuggingFaceTB/SmolVLM-500M-Instruct) for more details on the model. ## Use with mlx ```bash pip install -U mlx-vlm ``` ```bash python -m mlx_vlm.generate --model mlx-community/SmolVLM-500M-Instruct-8bit --max-tokens 100 --temp 0.0 --prompt "Describe this image." --image ```