UO

LLaVA

Multimodal Open (Restricted)
13B
Parameters

About LLaVA

LLaVA is an AI model developed by University of Wisconsin Madison, in the multimodal category, released in 2023, made available as an open-weights model with 13B params.

On this page you'll find LLaVA's full specifications. Review provider pricing and benchmark scores below, or compare LLaVA head-to-head with other multimodal models.

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Run LLaVA locally — what to buy

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Sized to what LLaVA actually needs (~8k context at Q4), not to the biggest GPU: Good = cheapest that runs it, Better = best value, Best = most headroom. Speed is a hardware estimate; anything past ~120 tok/s is shown as instant.

Software support

✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.

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Frequently asked questions

What is LLaVA?

LLaVA is an AI model developed by University of Wisconsin Madison, in the multimodal category, released in 2023. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created LLaVA?

LLaVA was developed by University of Wisconsin Madison and released in 2023.

Is LLaVA open source or proprietary?

LLaVA ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.

How much does LLaVA cost?

Pricing for LLaVA depends on the provider. See the providers table on this page for the latest API rates.

How does LLaVA perform on benchmarks?

Benchmark scores for LLaVA are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.

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