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chore(model gallery): add smolvlm-instruct (#5414)
Signed-off-by: Ettore Di Giacinto <[email protected]>
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gallery/index.yaml

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- filename: SmolVLM-500M-Instruct-Q8_0.gguf
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sha256: 9d4612de6a42214499e301494a3ecc2be0abdd9de44e663bda63f1152fad1bf4
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uri: huggingface://ggml-org/SmolVLM-500M-Instruct-GGUF/SmolVLM-500M-Instruct-Q8_0.gguf
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- !!merge <<: *smolvlm
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name: "smolvlm-instruct"
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icon: https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/SmolVLM.png
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urls:
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- https://huggingface.co/HuggingFaceTB/SmolVLM-Instruct
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- https://huggingface.co/ggml-org/SmolVLM-Instruct-GGUF
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description: |
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SmolVLM is a compact open multimodal model that accepts arbitrary sequences of image and text inputs to produce text outputs. Designed for efficiency, SmolVLM can answer questions about images, describe visual content, create stories grounded on multiple images, or function as a pure language model without visual inputs. Its lightweight architecture makes it suitable for on-device applications while maintaining strong performance on multimodal tasks.
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overrides:
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parameters:
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model: SmolVLM-Instruct-Q4_K_M.gguf
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mmproj: mmproj-SmolVLM-Instruct-Q8_0.gguf
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files:
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- filename: SmolVLM-Instruct-Q4_K_M.gguf
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sha256: dc80966bd84789de64115f07888939c03abb1714d431c477dfb405517a554af5
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uri: https://huggingface.co/ggml-org/SmolVLM-Instruct-GGUF/resolve/main/SmolVLM-Instruct-Q4_K_M.gguf
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- filename: mmproj-SmolVLM-Instruct-Q8_0.gguf
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sha256: 86b84aa7babf1ab51a6366d973b9d380354e92c105afaa4f172cc76d044da739
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uri: https://huggingface.co/ggml-org/SmolVLM-Instruct-GGUF/resolve/main/mmproj-SmolVLM-Instruct-Q8_0.gguf
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- &qwen3
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url: "github:mudler/LocalAI/gallery/qwen3.yaml@master"
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name: "qwen3-30b-a3b"

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