Using Gemma 7B Instruct on NVIDIA NIM

Implementation guide · Gemma · Google DeepMind

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NVIDIA NIM exposes Gemma 7B Instruct through model ID gemma-7b-it. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-05-01. 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 gemma-7b-it — see the documentation for request format.
  3. 3
    You'll be billed . See full pricing.
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Code Examples

See NVIDIA NIM documentation for integration details.

Pricing on NVIDIA NIM

Capabilities

Structured Outputs

About Gemma 7B Instruct

Gemma 7B Instruct is a cutting-edge large language model developed by Google DeepMind, boasting 7 billion parameters. As part of the Gemma family, it benefits from the advanced research underpinning Google's Gemini models. This model is optimized for text generation tasks, excelling in areas like question answering and summarization, and it is finely tuned to follow instructions effectively. Despite its compact size, Gemma 7B Instruct performs impressively on benchmarks, making it versatile for deployment across various hardware platforms, from laptops to cloud infrastructure.

Full model details →

Model Specs

Released2024-02-21
Parameters7B
Context8k
ArchitectureDecoder Only
Knowledge cutoff2023-04

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Provider

NVIDIA NIM

NVIDIA

Santa Clara, California, United States