IN
ENT-00000542 · Modèle IA

InternLM

InternLM is a AI model associated with Shanghai AI Laboratory, classified in LXKeys.world as Foundation / Language Model.

Niveau V PersistantActifConnected
Fiche publique

Vue d’ensemble

InternLM is documented as a foundation model or model-family record associated with Shanghai AI Laboratory. Its relevance comes from open language model family from Shanghai AI Laboratory. The entity is useful for tracing model lineage, provider strategy, capability evolution and relationships between assistants, APIs and downstream products.

Chronologie

  1. 2023Initial model publication or release

    InternLM entered the documented public record in 2023. This event is retained at the precision supported by the Entry’s reviewed source history.

Capacités

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

Limites connues

Capabilities vary by release, deployment setting and evaluation method.Operational details may differ across hosted APIs, open releases or downstream integrations.
Détail technique et structuré

Description technique

Structured LXKeys.world registry record for InternLM. Entity type: AI Model; classification: Foundation / Language Model; creator/organization context: Shanghai AI Laboratory. Canonical source anchor: https://internlm.intern-ai.org.cn/. The record tracks source authority, first public appearance, timeline, capabilities, limitations, registry status and graph relationships. Automatic refresh is limited to sources explicitly classified as OFFICIAL and enabled for updates; documentary and research references remain non-authoritative unless reviewed.

Tags contrôlés

Shanghai AI LaboratoryShanghaiFoundation Model
Graphe relationnel

InternLM

Ouvrir dans le graphe complet
InternLM
Organisation associéeSortante
Shanghai AI Laboratory

Shanghai AI Laboratory is the organization or ecosystem associated with InternLM.

Catégorie de registreSortante
Foundation Models

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

Couche lisible par machine

Données structurées de l’entrée pour les outils humains, les systèmes IA et les clients machine.

{
    "@context": [
        "https://schema.org",
        {
            "lxw": "https://lxkeys.world/schema/"
        }
    ],
    "@type": "Thing",
    "identifier": "ENT-00000542",
    "name": "InternLM",
    "alternateName": [],
    "additionalType": {
        "category": "Models",
        "type": "AI Model",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "InternLM is a AI model associated with Shanghai AI Laboratory, classified in LXKeys.world as Foundation / Language Model.",
    "creator": "Shanghai AI Laboratory",
    "url": "https://lxkeys.world/entry.php?id=ENT-00000542&lang=fr",
    "sameAs": "https://internlm.intern-ai.org.cn/",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00000542",
        "kind": "Models",
        "type": "AI Model",
        "subtype": "",
        "classification": "Foundation / Language Model",
        "organization": "Shanghai AI Laboratory",
        "originContext": "Open model ecosystem",
        "firstPublicAppearance": "2023",
        "currentStatus": "Active",
        "documentationStatus": "Connected",
        "documentationIndex": {
            "total": 82,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 19,
            "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"
        },
        "facts": [],
        "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": [
            "Shanghai AI Laboratory",
            "Shanghai",
            "Foundation Model"
        ],
        "timeline": [
            {
                "date": "2023",
                "title": "Initial model publication or release",
                "description": "InternLM entered the documented public record in 2023. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://internlm.intern-ai.org.cn/",
                "verification_status": "source_backed_official"
            }
        ],
        "relationships": [
            {
                "target": "Shanghai AI Laboratory",
                "type": "Associated Organization",
                "description": "Shanghai AI Laboratory is the organization or ecosystem associated with InternLM.",
                "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": "InternLM official reference",
                "url": "https://internlm.intern-ai.org.cn/",
                "source_type": "Official Documentation",
                "verification_status": "verified",
                "authority": "OFFICIAL",
                "role": "primary",
                "update_enabled": true,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "canonical": [],
        "imageMeta": []
    }
}
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