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Open weightsLLaVA Project (UW-Madison / Microsoft Research)/10 trustVerified
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LLaVA-1.5-7B

The open-source vision-language baseline that kicked off the VLM era.

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About

LLaVA-1.5-7B is the classic open vision-language model: a CLIP ViT-L-336px visual encoder connected to a Vicuna-1.5-7B language model through a simple MLP projection, fine-tuned on multimodal instruction-following data (558K pretraining image-text pairs, ~665K instruction samples including academic VQA data). Its minimalist architecture made state-of-the-art multimodal research cheap and reproducible in 2023, and it remains the standard baseline for VLM research.

Benchmarks below are author-reported from the LLaVA-1.5 paper (7B checkpoint): GQA 62.0, VisWiz 50.0, ScienceQA-IMG 66.8, VQA-v2 78.5, TextVQA 58.2, POPE 85.9, MME 1510.7, MMBench 64.3, MMBench-CN 58.3, SEED-Image 66.1, MM-Vet 30.5. Context window is 4,096 tokens (verified from the HF config.json max_position_embeddings). Weights fall under the LLaMA 2 Community License — not fully open for all commercial uses.

Specs

Context window

4,096 tokens (verified from HF config.json max_position_embeddings)

Pricing

Free (open weights, self-host)

Free quota

Free — download and run locally; weights under the LLaMA 2 Community License (non-OSI custom license with an acceptable-use policy)

API access

Self-host; community demos on Hugging Face Spaces

Weights

Open weights

Released

October 5, 2023

Benchmarks

Author-reported (LLaVA-1.5 paper, 7B checkpoint):

  • GQA: 62.0 | VisWiz: 50.0 | ScienceQA-IMG: 66.8
  • VQA-v2: 78.5 | TextVQA: 58.2 | POPE: 85.9
  • MME: 1510.7 | MMBench: 64.3 | MMBench-CN: 58.3
  • SEED-Image: 66.1 | MM-Vet: 30.5

Third-party reproductions (MMBench test ~66.5-67.7) roughly corroborate.

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

Use cases

multimodal research baselineimage captioning and visual question answeringfine-tuning starter for custom vision-language taskseducational and hobby multimodal chatbots

Trust score — 7/10

/10 trustVerified

Scored 7/10 (verified tier, metrics-v1). Evidence: HF: liuhaotian/llava-v1.5-7b; HF downloads 83,829 (peer-normalized); released 1104 days ago. Manual review: context 4096 verified from HF config.json; benchmarks author-reported; third-party MMBench reproductions corroborate. License: LLaMA 2 Community License (not OSI).

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
7.6/10
Maintenance · recency, releases, issue load
4.0/10
Openness · license + docs
7.2/10
Manual review · sanity read + red-flag check
7.0/10
  • · HF: liuhaotian/llava-v1.5-7b
  • · HF downloads 83,829 (peer-normalized)
  • · released 1104 days ago
  • · manual review: context 4096 verified from HF config.json; benchmarks author-reported; third-party MMBench reproductions corroborate

More in the llava family

Sources