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Open weightsGoogle DeepMind/10 trustVerified
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PaliGemma

Google's open 3B vision-language transfer model built on SigLIP + Gemma 2B.

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About

PaliGemma, released by Google DeepMind in May 2024, is the first vision-language model of the Gemma family: a ~3B-parameter model combining the SigLIP-So400m vision encoder with the Gemma 2B language decoder, pretrained on Google's WebLI dataset. It comes in 224px, 448px, and 896px resolutions and in pretrained and multi-task-mix variants.

Key nuance: PaliGemma is a transfer base designed to be fine-tuned for tasks like captioning, VQA, OCR, and segmentation — it is not a chat model and performs poorly at zero-shot conversation. It is distributed under the Gemma Terms of Use, which allow commercial use but are a custom license, not Apache 2.0 or another OSI-approved license.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

May 1, 2024

Benchmarks

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

Use cases

fine-tuning-baseimage-captioningvisual-question-answeringocrsegmentation

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 72; Trending score 85/100 from researcher assessment.

More in the paligemma family

Sources