LLMs › University of Wisconsin

LLaVA 1.6

by University of Wisconsin

visual question answeringimage understandingopen source multimodalOpen SourceAPI Available
vision multimodal open-source visual-qa
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Model Specifications

ModelLLaVA 1.6
CompanyUniversity of Wisconsin
Context Window4K
Parameters7B/13B/34B
Release Date2024-01-30
PricingFree open source
API Available✓ Yes
Open Source✓ Yes

Key Strengths

visual question answeringimage understandingopen source multimodal

Analysis for Operators

LLaVA 1.6 by University of Wisconsin is a open-source language model with a 4K context window. Available via API for integration into your applications. Key strengths include visual question answering, image understanding, open source multimodal, making it well-suited for operators building sophisticated AI applications.

Pricing at Free open source makes it particularly accessible for startups and individual operators building at scale.

Best Use Cases for Operators

Operators should consider LLaVA 1.6 when building applications requiring visual question answering, image understanding, open source multimodal. The 4K context window enables processing of entire documents and codebases without chunking.

Compare with Similar Models

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Last updated: 2026-01-28 • Browse all LLMs

Tools Using LLaVA 1.6

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