QLoRA

Structured entry data for human tools, AI systems and machine clients.

{
    "@context": [
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        {
            "lxw": "https://lxkeys.world/schema/"
        }
    ],
    "@type": "Thing",
    "identifier": "ENT-00000964",
    "name": "QLoRA",
    "alternateName": [],
    "additionalType": {
        "category": "Frameworks and Software",
        "type": "AI Framework",
        "subtype": "",
        "lxkeysEntity": false
    },
    "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=en",
    "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",
            "Developer workflow support"
        ],
        "limitations": [
            "Capabilities depend on product version, integration context and access tier.",
            "Public behavior can change as the provider updates models, policies and interfaces."
        ],
        "tags": [
            "Academic research",
            "Developer Platform",
            "Documented AI",
            "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"
            },
            {
                "target": "University of Washington researchers",
                "type": "Creator or Developer",
                "description": "University of Washington researchers is identified as a creator, developer or originating actor for QLoRA.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "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"
            }
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        "imageMeta": []
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}