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Google: PaliGemma 2

PaliGemma 2 Overview

PaliGemma 2 is a vision-language model released in December 2024 by Google DeepMind. It pairs the SigLIP-So400m vision encoder with the Gemma 2 language model family, extending the original PaliGemma architecture with stronger language capabilities and a wider set of transfer benchmarks. The model is designed primarily as a fine-tuning base rather than a chat-optimized assistant. Google releases pretrained "PT" checkpoints intended for task-specific adaptation rather than direct out-of-the-box use.

PaliGemma 2 accepts an image paired with a text prompt and generates natural language output, supporting image captioning, visual question answering, optical character recognition, document understanding, object detection and segmentation (with appropriate fine-tuning), and a range of specialized vision-language tasks. The model is released at three parameter sizes (3B, 10B, and 28B), built on the Gemma 2 2B, 9B, and 27B language backbones. Each size is available at three input resolutions: 224, 448, and 896 pixels. Alongside the base PT checkpoints, Google released PaliGemma 2 Mix variants that have been tuned on a mixture of downstream tasks to provide stronger out-of-the-box performance for common applications such as OCR and document parsing. PaliGemma 2 is distributed under the Gemma license, a custom license from Google that permits commercial use subject to the terms of the Gemma Prohibited Use Policy.

PaliGemma 2 Details & Performance

Details

Resources

GitHubPaperColab

Vision Tasks

Vision LanguageOCRCaptioningVisual Question Answering

Features

Multimodal VisionLLMs with Vision Capabilities

Usage

Past 30 Days

Not available

Not in Playground

Performance

Avg. Latency

Arena Rankings

Not yet ranked in arena

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PaliGemma 2 License

Custom

License terms and commercial-use guidance for PaliGemma 2.

License information is provided as a guide and is not legal advice.