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Open weightsSalesforce/10 trustVerified
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BLIP-3

Salesforce's open multimodal family (xGen-MM) — vision-language models you can actually download.

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About

BLIP-3, also published as xGen-MM, is Salesforce AI Research's family of open large multimodal models from 2024. The largest variant has 4 billion parameters and handles interleaved image-text input for captioning, VQA, and document understanding. Salesforce open-sourced the weights, training data recipes, and fine-tuning code — though licensing varies by checkpoint, with some under Apache 2.0 and others under CC-BY-NC-4.0, so check the specific card before commercial use.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

Not disclosed

Benchmarks

Paper-reported: competitive with similar-size open LMMs on standard VQA and captioning benchmarks.

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

Use cases

visual question answeringimage captioningdocument understandingmultimodal research

Trust score — 7/10

/10 trustVerified

Scored 7/10 (verified tier, metrics-v1). Evidence: xGen-MM paper Aug 2024; weights on HF under Salesforce org; License varies by checkpoint: Apache-2.0 vs CC-BY-NC-4.0; Check the specific HF card before commercial use. License: Mixed: some checkpoints Apache-2.0, others CC-BY-NC-4.0 — verify per checkpoint on the HF card..

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
7.0/10
Maintenance · recency, releases, issue load
7.0/10
Openness · license + docs
7.0/10
Manual review · sanity read + red-flag check
7.0/10
  • · xGen-MM paper Aug 2024; weights on HF under Salesforce org
  • · License varies by checkpoint: Apache-2.0 vs CC-BY-NC-4.0
  • · Check the specific HF card before commercial use

More in the blip family

Sources