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--- |
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language: |
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- en |
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license: apache-2.0 |
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tags: |
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- multimodal |
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- vision |
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- image-text-to-text |
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- mlx |
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datasets: |
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- HuggingFaceM4/OBELICS |
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- laion/laion-coco |
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- wikipedia |
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- facebook/pmd |
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- pixparse/idl-wds |
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- pixparse/pdfa-eng-wds |
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- wendlerc/RenderedText |
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- HuggingFaceM4/the_cauldron |
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- teknium/OpenHermes-2.5 |
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- GAIR/lima |
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- databricks/databricks-dolly-15k |
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- meta-math/MetaMathQA |
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- TIGER-Lab/MathInstruct |
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- microsoft/orca-math-word-problems-200k |
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- camel-ai/math |
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- AtlasUnified/atlas-math-sets |
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- tiedong/goat |
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--- |
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# mlx-community/idefics2-8b-8bit |
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This model was converted to MLX format from [`HuggingFaceM4/idefics2-8b`]() using mlx-vllm version **0.0.4**. |
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Refer to the [original model card](https://huggingface.co/HuggingFaceM4/idefics2-8b) 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 mlx-community/idefics2-8b-8bit --max-tokens 100 --temp 0.0 |
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``` |
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