C
ENT-00000902 · Foundation Model

Chinchilla

Chinchilla is a documented foundation model associated with Google DeepMind.

Level V — PersistentActiveDocumented
Human readable record

Overview

Chinchilla is documented as a foundation model or model-family record associated with Google DeepMind. Its relevance comes from DeepMind language model central to compute-optimal scaling research. The entity is useful for tracing model lineage, provider strategy, capability evolution and relationships between assistants, APIs and downstream products.

Timeline

  1. 2022Chinchilla public reference

    Chinchilla is publicly documented in relation to Google DeepMind.

Capabilities

Language or multimodal model capabilityAPI or deployment integrationReasoning, generation or representation learningModel-family relationship mapping

Known limitations

Capabilities vary by release, deployment setting and evaluation method.Operational details may differ across hosted APIs, open releases or downstream integrations.
Technical and registry detail

Technical description

Structured record for Chinchilla. The technical layer identifies entity type Foundation Model, organization Google DeepMind, source anchor https://deepmind.google/discover/blog/an-empirical-analysis-of-compute-optimal-large-language-model-training/, capability fields, limitation fields, timeline event, source records, tags (Google DeepMind, Foundation Model, Documented AI) and graph relationships for machine-readable registry integration.

Controlled tags

Google DeepMindFoundation ModelDocumented AIcompute-optimal
Relationship graph
Chinchilla
Associated OrganizationGoogle DeepMind

Google DeepMind is the organization or ecosystem associated with Chinchilla.

Creator or DeveloperDeepMind

DeepMind is identified as a creator, developer or originating actor for Chinchilla.

Registry CategoryFoundation Models

Model-level entity connected to the foundation-model layer of the registry.

Machine readable layer

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

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00000902",
    "name": "Chinchilla",
    "alternateName": [],
    "additionalType": "Foundation Model",
    "description": "Chinchilla is a documented foundation model associated with Google DeepMind.",
    "creator": "DeepMind",
    "url": "entity.php?id=ENT-00000902",
    "sameAs": "https://deepmind.google/discover/blog/an-empirical-analysis-of-compute-optimal-large-language-model-training/",
    "lxkeysWorld": {
        "classification": "compute-optimal language model",
        "organization": "Google DeepMind",
        "originContext": "Research model",
        "firstPublicAppearance": "2022",
        "currentStatus": "Active",
        "registryStatus": "Documented",
        "spatiumIndex": {
            "total": 88,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 25,
            "level": "Level V — Persistent"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:02+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:02+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:02+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "capabilities": [
            "Language or multimodal model capability",
            "API or deployment integration",
            "Reasoning, generation or representation learning",
            "Model-family relationship mapping"
        ],
        "limitations": [
            "Capabilities vary by release, deployment setting and evaluation method.",
            "Operational details may differ across hosted APIs, open releases or downstream integrations."
        ],
        "tags": [
            "Google DeepMind",
            "Foundation Model",
            "Documented AI",
            "compute-optimal"
        ],
        "timeline": [
            {
                "date": "2022",
                "title": "Chinchilla public reference",
                "description": "Chinchilla is publicly documented in relation to Google DeepMind."
            }
        ],
        "relationships": [
            {
                "target": "Google DeepMind",
                "type": "Associated Organization",
                "description": "Google DeepMind is the organization or ecosystem associated with Chinchilla.",
                "evidence_level": "documentary"
            },
            {
                "target": "DeepMind",
                "type": "Creator or Developer",
                "description": "DeepMind is identified as a creator, developer or originating actor for Chinchilla.",
                "evidence_level": "documentary"
            },
            {
                "target": "Foundation Models",
                "type": "Registry Category",
                "description": "Model-level entity connected to the foundation-model layer of the registry.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Chinchilla official reference",
                "url": "https://deepmind.google/discover/blog/an-empirical-analysis-of-compute-optimal-large-language-model-training/",
                "source_type": "Official Documentation",
                "verification_status": "verified"
            }
        ]
    }
}
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