Using PaliGemma 3B 896 on NVIDIA NIM

Implementation guide · PaliGemma · Google DeepMind

ProvisionedOpen Weights

NVIDIA NIM exposes PaliGemma 3B 896 through model ID paligemma-3b-896. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-09-22. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at NVIDIA NIM and generate an API key.
  2. 2
    Use the NVIDIA NIM SDK or REST API to call paligemma-3b-896 — see the documentation for request format.
  3. 3
    You'll be billed . See full pricing.

Code Examples

See NVIDIA NIM documentation for integration details.

Pricing on NVIDIA NIM

Capabilities

VisionMultimodal

About PaliGemma 3B 896

PaliGemma 3B 896 is a versatile and lightweight vision-language model developed by Google, designed to process and integrate both images and text. Inspired by the PaLI-3 model, it employs components like the SigLIP vision model and the Gemma-2B language model, featuring a linear projection layer for seamless integration of visual and textual inputs. Capable of handling tasks such as image captioning, visual question answering, object detection, and segmentation, it supports multilingual text processing.

Model Specs

Released2024-05-14
Parameters3B
Context512
ArchitectureDecoder Only

Provider

NVIDIA NIM

NVIDIA

Santa Clara, California, United States