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NVIDIA NIM

PaliGemma 3B 896 on NVIDIA NIM

PaliGemma · Google DeepMind

ProvisionedOpen Source

Last refreshed 2026-05-01. Next refresh: weekly.

Why use PaliGemma 3B 896 on NVIDIA NIM?

NVIDIA NIM offers PaliGemma 3B 896 with competitive pricing. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.

Input / 1M
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Output / 1M
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Cache
Not sourced
Batch
Not sourced

Setup recipe

Docs fallback
Install
Use the provider REST API or SDK
Auth
Create a provider API key
Call
model: paligemma-3b-896
Model ID
paligemma-3b-896

Request example

Curated snippets for this provider are not sourced yet. Use NVIDIA NIM documentation with model ID paligemma-3b-896.

Gotchas

No curated gotchas have been sourced for this exact provider/model route yet.

Pricing

TypeRate
GPU Hour Rate$1.00/GPU·hr
GPU Config1xH100

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. Despite requiring task-specific fine-tuning for optimal performance, PaliGemma highlights strong capabilities across various vision-language applications, although it may encounter challenges with contextual understanding, biases, and computational demands 124.

FAQ

What is the context window for PaliGemma 3B 896 on NVIDIA NIM?

PaliGemma 3B 896 supports a 512 token context window on NVIDIA NIM.

Who created PaliGemma 3B 896?

PaliGemma 3B 896 was created by Google DeepMind as part of the PaliGemma model family.

Is PaliGemma 3B 896 open source?

PaliGemma 3B 896 is open source according to the seed data.

Get Started

Model Specs

Released2024-05-14
Parameters3B
Context512
ArchitectureDecoder Only