QL
ENT-00000964 · Framework IA

QLoRA

QLoRA is a AI software framework associated with Academic research, classified in LXKeys.world as AI / ML Framework.

Niveau V PersistantActifDocumenté
Fiche publique

Vue d’ensemble

QLoRA is documented as an AI developer platform or infrastructure component associated with Academic research. Its importance comes from memory-efficient fine-tuning method using quantization and LoRA. The record helps connect models, applications, agents and deployment environments inside the broader AI tooling layer.

Chronologie

  1. 2023Initial public software release

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

Capacités

AI application developmentModel orchestration or deploymentTool and API integrationDeveloper workflow support

Limites connues

Capabilities depend on product version, integration context and access tier.Public behavior can change as the provider updates models, policies and interfaces.
Détail technique et structuré

Description technique

Structured LXKeys.world registry record for QLoRA. Entity type: AI Framework; classification: AI / ML Framework; creator/organization context: University of Washington researchers. Canonical source anchor: https://github.com/artidoro/qlora. 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

Academic researchDeveloper PlatformDocumented AIquantized
Graphe relationnel

QLoRA

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QLoRA
Organisation associéeSortante
Academic research

Academic research is the organization or ecosystem associated with QLoRA.

Créateur ou développeurSortante
University of Washington researchers

University of Washington researchers is identified as a creator, developer or originating actor for QLoRA.

Couche lisible par machine

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

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    "@type": "Thing",
    "identifier": "ENT-00000964",
    "name": "QLoRA",
    "alternateName": [],
    "additionalType": {
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        "type": "AI Framework",
        "subtype": "",
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    "description": "QLoRA is a AI software framework associated with Academic research, classified in LXKeys.world as AI / ML Framework.",
    "creator": "University of Washington researchers",
    "url": "https://lxkeys.world/entry.php?id=ENT-00000964&lang=fr",
    "sameAs": "https://github.com/artidoro/qlora",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00000964",
        "kind": "Frameworks and Software",
        "type": "AI Framework",
        "subtype": "",
        "classification": "AI / ML Framework",
        "organization": "Academic research",
        "originContext": "Model adaptation method",
        "firstPublicAppearance": "2023",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "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": [
            "AI application development",
            "Model orchestration or deployment",
            "Tool and API integration",
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        "limitations": [
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            "Public behavior can change as the provider updates models, policies and interfaces."
        ],
        "tags": [
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            "quantized"
        ],
        "timeline": [
            {
                "date": "2023",
                "title": "Initial public software release",
                "description": "QLoRA 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://github.com/artidoro/qlora",
                "verification_status": "source_backed_curated_baseline"
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        ],
        "relationships": [
            {
                "target": "Academic research",
                "type": "Associated Organization",
                "description": "Academic research is the organization or ecosystem associated with QLoRA.",
                "evidence_level": "documentary"
            },
            {
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                "type": "Creator or Developer",
                "description": "University of Washington researchers is identified as a creator, developer or originating actor for QLoRA.",
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        ],
        "sources": [
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                "label": "QLoRA official reference",
                "url": "https://github.com/artidoro/qlora",
                "source_type": "Official Documentation",
                "verification_status": "verified",
                "authority": "TRUSTED_PRIMARY",
                "role": "code_repository",
                "update_enabled": false,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "canonical": [],
        "imageMeta": []
    }
}
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