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+ ---
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+ base_model:
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+ - HuggingFaceTB/SmolLM2-1.7B-Instruct
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+ - google/siglip-so400m-patch14-384
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+ datasets:
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+ - HuggingFaceM4/the_cauldron
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+ - HuggingFaceM4/Docmatix
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+ language:
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+ - en
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+ library_name: transformers
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+ license: apache-2.0
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+ pipeline_tag: image-text-to-text
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+ tags:
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+ - mlx
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+ ---
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+
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+ # mlx-community/SmolVLM-Instruct-bf16
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+ This model was converted to MLX format from [`HuggingFaceTB/SmolVLM-Instruct`]() using mlx-vlm version **0.1.2**.
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+ Refer to the [original model card](https://huggingface.co/HuggingFaceTB/SmolVLM-Instruct) for more details on the model.
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+ ## Use with mlx
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+
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+ ```bash
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+ pip install -U mlx-vlm
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+ ```
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+
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+ ```bash
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+ python -m mlx_vlm.generate --model mlx-community/SmolVLM-Instruct-bf16 --max-tokens 100 --temp 0.0
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+ ```
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ "truncation_side": "left",
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+ "unk_token": "<|endoftext|>",
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+ "vocab_size": 49152
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+ }
vocab.json ADDED
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