Using Gemma 4 12B IT on Kaggle Models

Implementation guide · Gemma 4 · Google DeepMind

Open Source

Kaggle Models exposes Gemma 4 12B IT through model ID google/gemma-4. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-06-29. Next refresh: weekly.

Quick Start

1
Create an account at Kaggle Models and generate an API key.
2
Use the Kaggle Models SDK or REST API to call google/gemma-4 — see the documentation for request format.

API Portal Documentation Model Card

Code Examples

See Kaggle Models documentation for integration details.

Pricing on Kaggle Models

Capabilities

VisionMultimodalReasoningJSON / Tool useStructured OutputsAudioFine-tuning

About Gemma 4 12B IT

Instruction-tuned version of Gemma 4 12B. Open weight (Apache 2.0), 12B parameters, encoder-free multimodal (text, image, audio). Optimized for chat and instruction-following. Runs on a 16GB laptop.

Full model details →

Model Specs

Released2026-06-03

Parameters12B

Context256k

ArchitectureDecoder Only

Knowledge cutoff2025-01

Google