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LLaVA v1.5 7B

LLaVA Authors · 2023-10-05 · 7.1B parameters

LLaVA-1.5 7B is a visual instruction-tuned vision-language model developed by Haotian Liu and collaborators, released in October 2023, built on a Vicuna 7B language backbone combined with a CLIP visual encoder. It was a significant milestone among open-weight multimodal LLMs, demonstrating that carefully curated visual instruction tuning data could match larger models on standard vision-language benchmarks. The model is hosted at liuhaotian/llava-v1.5-7b on Hugging Face and supports image-grounded question answering and conversation.

Benchmark scores

BenchmarkScore
AI2D (OpenVLM)55.5
Capability86.9
HallusionBench (OpenVLM)27.6
MATH-Vision8.5
MathVista (OpenVLM)25.5
MM-Vet (OpenVLM)32.9
MMMU Validation (OpenVLM)35.7
MMStar (OpenVLM)33.1
ScienceQA66.8
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