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--- |
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library_name: transformers |
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license: apache-2.0 |
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datasets: |
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- HuggingFaceM4/the_cauldron |
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- HuggingFaceM4/Docmatix |
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pipeline_tag: image-text-to-text |
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language: |
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- en |
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base_model: |
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- HuggingFaceTB/SmolVLM-256M-Instruct |
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base_model_relation: quantized |
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tags: |
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- mlx |
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--- |
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# moot20/SmolVLM-256M-Instruct-MLX-6bits |
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This model was converted to MLX format from [`HuggingFaceTB/SmolVLM-256M-Instruct`]() using mlx-vlm version **0.1.12**. |
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Refer to the [original model card](https://huggingface.co/HuggingFaceTB/SmolVLM-256M-Instruct) for more details on the model. |
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## Use with mlx |
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```bash |
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pip install -U mlx-vlm |
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``` |
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```bash |
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python -m mlx_vlm.generate --model moot20/SmolVLM-256M-Instruct-MLX-6bits --max-tokens 100 --temp 0.0 --prompt "Describe this image." --image <path_to_image> |
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``` |
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