gemma-4-12B-it

by google

Open 12B multimodal model for image, audio, and long-context agent perception

581Kdl/month

12Bparams

HuggingFace Use in Pipeline

Identifiers

Model ID

google/gemma-4-12B-it

Feature URI

mixpeek://image_extractor@v1/google_gemma4_12b_it_v1

Overview

Gemma 4 12B IT is an instruction-tuned open model from Google DeepMind. The model card describes Gemma 4 as multimodal, with text and image input across the family and audio support on the E2B, E4B, and 12B variants. It is a strong fit for agents that need to inspect retrieved images, short audio clips, or mixed evidence after first-stage search.

On Mixpeek, Gemma 4 12B belongs in the inspection layer. Use cheaper embeddings and filters to retrieve candidates, then ask Gemma to produce concise observations, answer bounded visual questions, or turn multimodal evidence into structured fields that downstream agents can cite.

Architecture

Instruction-tuned Gemma 4 multimodal model exposed through Hugging Face Transformers. The 12B checkpoint supports a 256K context window, multilingual text handling, image input, audio input, and text output.

Mixpeek SDK Integration

import { Mixpeek } from "mixpeek";

const mx = new Mixpeek({ apiKey: "API_KEY" });

await mx.collections.ingest({
  collection_id: "agent-visual-evidence",
  source: { url: "s3://media/keyframes/" },
  feature_extractors: [{
    feature: "scene_caption",
    model: "google/gemma-4-12B-it",
    params: {
      schema: {
        visible_objects: "string[]",
        scene_summary: "string",
        evidence_quality: "number"
      }
    }
  }]
});