LLM Reference
Kaggle Models

Using Gemma 4 12B on Kaggle Models

Implementation guide · Gemma 4 · Google DeepMind

Open Source

Quick Start

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

Code Examples

See Kaggle Models documentation for integration details.

About Kaggle Models

Kaggle Models hosts model collections with downloadable artifacts, examples, and notebook integration. For Gemma 4 12B, the confirmed source-backed availability is the official google/gemma-4 collection rather than a managed per-token API endpoint.

Kaggle Models is Google Kaggle's model hub for discovering and downloading public machine learning models, including official Google Gemma weights for local and notebook-based use.

Pricing on Kaggle Models

Capabilities

VisionMultimodalReasoningFunction CallingTool UseStructured OutputsAudio

About Gemma 4 12B

Google DeepMind's 12B open-weight multimodal model (Apache 2.0), designed to run on a 16GB laptop. First medium-sized model with native audio ingestion alongside text and image. Unified encoder-free decoder-only architecture. Supports 140+ languages. MMLU Pro: 77.2%.

Model Specs

Released2026-06-03
Parameters12B
Context256k
ArchitectureDecoder Only
Knowledge cutoff2025-01

Provider

Kaggle Models
Kaggle Models

Google