| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | datasets: |
| | - HuggingFaceM4/the_cauldron |
| | - HuggingFaceM4/Docmatix |
| | pipeline_tag: image-text-to-text |
| | language: |
| | - en |
| | base_model: |
| | - HuggingFaceTB/SmolVLM-256M-Instruct |
| | base_model_relation: quantized |
| | tags: |
| | - mlx |
| | --- |
| | |
| | # moot20/SmolVLM-256M-Instruct-MLX-8bits |
| | This model was converted to MLX format from [`HuggingFaceTB/SmolVLM-256M-Instruct`]() using mlx-vlm version **0.1.12**. |
| | Refer to the [original model card](https://huggingface.co/HuggingFaceTB/SmolVLM-256M-Instruct) for more details on the model. |
| | ## Use with mlx |
| |
|
| | ```bash |
| | pip install -U mlx-vlm |
| | ``` |
| |
|
| | ```bash |
| | python -m mlx_vlm.generate --model moot20/SmolVLM-256M-Instruct-MLX-8bits --max-tokens 100 --temp 0.0 --prompt "Describe this image." --image <path_to_image> |
| | ``` |
| |
|
