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Open weightslmms-lab/10 trustVerified
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LLaVA-OneVision 7B

Open vision-language model unifying image, multi-image, and video.

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About

LLaVA-OneVision 7B is the Qwen 2 7B-based flagship of the LLaVA-OneVision family, released September 2024 by the lmms-lab community. It was designed as a single model for single-image, multi-image, and video scenarios, using a SigLIP vision encoder connected to the language backbone. The 7B variant is the strongest open configuration and remains a widely used baseline for open vision-language research.

Checkpoints are distributed openly (the HF organization llava-hf hosts conversion-friendly builds), and the model has seen broad community adoption including GGUF conversions for llama.cpp and Ascend NPU ports. It is a practical choice for developers who want one open model covering image QA, multi-image comparison, and short video understanding.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

September 19, 2024

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

visual-qaimage-captioningvideo-understandingdocument-vision

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 133; Trending score 80/100 from researcher assessment.

More in the llava-onevision family

Sources