PaliGemma
Designed for real apps, PaliGemma is easy to adapt with LoRA or full fine-tuning, integrates cleanly into RAG and agent pipelines (e.g., crop → read → reason), and performs well on a single modern GPU with 8/4-bit quantization options for smaller footprints. Typical uses include enterprise document automation, analytics over dashboards, accessibility (image descriptions), and developer assistants that reason directly from screenshots—bringing reliable visual understanding to the Gemma ecosystem without heavy infrastructure.
Overview
PaliGemma is Google’s open-weight vision-language model in the Gemma family. It takes images (or screenshots, documents, charts) plus text and answers in text—great for OCR, captioning, VQA, and UI/doc understanding. Lightweight and fine-tunable, it runs on a single GPU and supports quantization for edge deployment.
About Google
At Google, we think that AI can meaningfully improve people's lives and that the biggest impact will come when everyone can access it.
Tools using PaliGemma
No tools found for this model yet.
