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chore(model gallery): add smolvlm2-500m-video-instruct (#5416)

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Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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Ettore Di Giacinto 2025-05-20 11:42:30 +02:00 • committed by GitHub
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commit e0a54de4f5
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gallery/index.yaml
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@ -85,6 +85,27 @@
- filename: mmproj-SmolVLM2-2.2B-Instruct-Q8_0.gguf
sha256: ae07ea1facd07dd3230c4483b63e8cda96c6944ad2481f33d531f79e892dd024
uri: huggingface://ggml-org/SmolVLM2-2.2B-Instruct-GGUF/mmproj-SmolVLM2-2.2B-Instruct-Q8_0.gguf
- !!merge <<: *smolvlm
name: "smolvlm2-500m-video-instruct"
icon: https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/SmolVLM2_banner.png
urls:
- https://huggingface.co/HuggingFaceTB/SmolVLM2-500M-Video-Instruct
- https://huggingface.co/ggml-org/SmolVLM2-500M-Video-Instruct-GGUF
description: |
SmolVLM2-500M-Video is a lightweight multimodal model designed to analyze video content.
The model processes videos, images, and text inputs to generate text outputs - whether answering questions about media files, comparing visual content, or transcribing text from images. Despite its compact size, requiring only 1.8GB of GPU RAM for video inference, it delivers robust performance on complex multimodal tasks.
This efficiency makes it particularly well-suited for on-device applications where computational resources may be limited.
overrides:
parameters:
model: SmolVLM2-500M-Video-Instruct-f16.gguf
mmproj: mmproj-SmolVLM2-500M-Video-Instruct-f16.gguf
files:
- filename: SmolVLM2-500M-Video-Instruct-f16.gguf
sha256: 80f7e3f04bc2d3324ac1a9f52f5776fe13a69912adf74f8e7edacf773d140d77
uri: huggingface://ggml-org/SmolVLM2-500M-Video-Instruct-GGUF/SmolVLM2-500M-Video-Instruct-f16.gguf
- filename: mmproj-SmolVLM2-500M-Video-Instruct-f16.gguf
sha256: b5dc8ebe7cbeab66a5369693960a52515d7824f13d4063ceca78431f2a6b59b0
uri: huggingface://ggml-org/SmolVLM2-500M-Video-Instruct-GGUF/mmproj-SmolVLM2-500M-Video-Instruct-f16.gguf
- &qwen3
url: "github:mudler/LocalAI/gallery/qwen3.yaml@master"
name: "qwen3-30b-a3b"