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LLaVA-NeXT-34B (LLaVA-1.6)
About LLaVA-NeXT-34B (LLaVA-1.6)
LLaVA-NeXT-34B (LLaVA-1.6) is an AI model developed by University of Wisconsin Madison, in the multimodal category, released in 2024, made available as an open-weights model with 34.8B params.
On this page you'll find LLaVA-NeXT-34B (LLaVA-1.6)'s full specifications. Review provider pricing and benchmark scores below, or compare LLaVA-NeXT-34B (LLaVA-1.6) head-to-head with other multimodal models.
Links
Run LLaVA-NeXT-34B (LLaVA-1.6) locally — what to buy
Share this build ↗Sized to what LLaVA-NeXT-34B (LLaVA-1.6) 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-NeXT-34B (LLaVA-1.6)? ▶
LLaVA-NeXT-34B (LLaVA-1.6) is an AI model developed by University of Wisconsin Madison, in the multimodal category, released in 2024. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created LLaVA-NeXT-34B (LLaVA-1.6)? ▶
LLaVA-NeXT-34B (LLaVA-1.6) was developed by University of Wisconsin Madison and released in 2024.
Is LLaVA-NeXT-34B (LLaVA-1.6) open source or proprietary? ▶
LLaVA-NeXT-34B (LLaVA-1.6) 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-NeXT-34B (LLaVA-1.6) cost? ▶
Pricing for LLaVA-NeXT-34B (LLaVA-1.6) depends on the provider. See the providers table on this page for the latest API rates.
How does LLaVA-NeXT-34B (LLaVA-1.6) perform on benchmarks? ▶
Benchmark scores for LLaVA-NeXT-34B (LLaVA-1.6) 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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