R
ENT-00001051 · Foundation Model

RecurrentGemma

RecurrentGemma is a recurrent model associated with Google.

Level IV — ConnectedActiveConnected
Human readable record

Overview

RecurrentGemma is a foundation-model entity associated with Google. The record documents the model inside the recurrent model family, focusing on its release context, modality, intended capabilities, source lineage and relationship to adjacent model families.

Timeline

  1. 2024RecurrentGemma public release or documentation

    RecurrentGemma appears in public documentation as a recurrent model associated with Google.

Capabilities

Language modelingInstruction followingModel-family interoperabilityBenchmarkable AI capability

Known limitations

Capabilities vary by checkpoint, deployment configuration and provider policy.The record documents public model identity, not private training details.
Technical and registry detail

Technical description

Technical model record for RecurrentGemma. The structured layer captures provider, model family, release period, capabilities, limitations, source anchors and graph relations to Google, related assistants, evaluation benchmarks and deployment environments.

Controlled tags

Foundation ModelModel VariantAI ModelBatch 03 Candidate
Relationship graph
RecurrentGemma
Created byGoogle

RecurrentGemma is associated with Google.

Machine readable layer

Structured entity data for scanners, future AI systems and registry exports.

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00001051",
    "name": "RecurrentGemma",
    "alternateName": [],
    "additionalType": "Foundation Model",
    "description": "RecurrentGemma is a recurrent model associated with Google.",
    "creator": "Google",
    "url": "entity.php?id=ENT-00001051",
    "sameAs": "https://ai.google.dev/gemma",
    "lxkeysWorld": {
        "classification": "recurrent model",
        "organization": "Google",
        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "2024",
        "currentStatus": "Active",
        "registryStatus": "Connected",
        "spatiumIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV — Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:14+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:14+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:14+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "capabilities": [
            "Language modeling",
            "Instruction following",
            "Model-family interoperability",
            "Benchmarkable AI capability"
        ],
        "limitations": [
            "Capabilities vary by checkpoint, deployment configuration and provider policy.",
            "The record documents public model identity, not private training details."
        ],
        "tags": [
            "Foundation Model",
            "Model Variant",
            "AI Model",
            "Batch 03 Candidate"
        ],
        "timeline": [
            {
                "date": "2024",
                "title": "RecurrentGemma public release or documentation",
                "description": "RecurrentGemma appears in public documentation as a recurrent model associated with Google."
            }
        ],
        "relationships": [
            {
                "target": "Google",
                "type": "Created by",
                "description": "RecurrentGemma is associated with Google.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Google Gemma documentation",
                "url": "https://ai.google.dev/gemma",
                "source_type": "Official Documentation",
                "verification_status": "verified"
            }
        ]
    }
}
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