| 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 <path_to_image> | |
| ``` | |