DN
ENT-00002412 · AI Model

DNABERT-2

DNABERT-2 is a AI model associated with DNABERT project, classified in LXKeys.world as Scientific / Biomedical Model.

Level V PersistentActiveDocumented
Human record

Overview

DNABERT-2 is an AI model or research system associated with DNABERT project. It is documented as genomic sequence foundation model.

Timeline

  1. 2023Initial model publication or release

    DNABERT-2 entered the documented public record in 2023. This event is retained at the precision supported by the Entry’s reviewed source history.

Capabilities

Model inference or generationResearch or product evaluationVersioned technical documentationIntegration into model or product ecosystems

Known limitations

Model behavior depends on version, deployment settings and usage context.Capabilities should be interpreted through the linked model card, official documentation or research source.
Technical and structured detail

Technical description

Structured LXKeys.world registry record for DNABERT-2. Entity type: AI Model; classification: Scientific / Biomedical Model; creator/organization context: DNABERT authors. Canonical source anchor: https://huggingface.co/zhihan1996/DNABERT-2-117M. 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.

Controlled tags

Medical AIAI ModelGenomicsBiomedical AI Model
Relationship graph

DNABERT-2

Open in full graph
DNABERT-2
CreatorOutgoing
DNABERT authors

DNABERT authors is documented as creator, contributor or originating team for DNABERT-2.

Associated organizationOutgoing
DNABERT project

DNABERT project is the organization or institutional context associated with DNABERT-2.

ClassificationOutgoing
Biomedical AI Model

DNABERT-2 is classified as Biomedical AI Model.

Machine readable layer

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

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    ],
    "@type": "Thing",
    "identifier": "ENT-00002412",
    "name": "DNABERT-2",
    "alternateName": [],
    "additionalType": {
        "category": "Models",
        "type": "AI Model",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "DNABERT-2 is a AI model associated with DNABERT project, classified in LXKeys.world as Scientific / Biomedical Model.",
    "creator": "DNABERT authors",
    "url": "https://lxkeys.world/entry.php?id=ENT-00002412&lang=en",
    "sameAs": "https://huggingface.co/zhihan1996/DNABERT-2-117M",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00002412",
        "kind": "Models",
        "type": "AI Model",
        "subtype": "",
        "classification": "Scientific / Biomedical Model",
        "organization": "DNABERT project",
        "originContext": "AI model repository",
        "firstPublicAppearance": "2023",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
            "total": 88,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 25,
            "level": "Level V Persistent"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-17T01:33:48+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4",
            "updated_utc": "2026-06-17T01:33:48+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4"
        },
        "facts": [],
        "capabilities": [
            "Model inference or generation",
            "Research or product evaluation",
            "Versioned technical documentation",
            "Integration into model or product ecosystems"
        ],
        "limitations": [
            "Model behavior depends on version, deployment settings and usage context.",
            "Capabilities should be interpreted through the linked model card, official documentation or research source."
        ],
        "tags": [
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            "AI Model",
            "Genomics",
            "Biomedical AI Model"
        ],
        "timeline": [
            {
                "date": "2023",
                "title": "Initial model publication or release",
                "description": "DNABERT-2 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://huggingface.co/zhihan1996/DNABERT-2-117M",
                "verification_status": "source_backed_curated_baseline"
            }
        ],
        "relationships": [
            {
                "target": "DNABERT authors",
                "type": "Creator",
                "description": "DNABERT authors is documented as creator, contributor or originating team for DNABERT-2.",
                "evidence_level": "documentary"
            },
            {
                "target": "DNABERT project",
                "type": "Associated organization",
                "description": "DNABERT project is the organization or institutional context associated with DNABERT-2.",
                "evidence_level": "documentary"
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            {
                "target": "Biomedical AI Model",
                "type": "Classification",
                "description": "DNABERT-2 is classified as Biomedical AI Model.",
                "evidence_level": "documentary"
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        ],
        "sources": [
            {
                "label": "Hugging Face model card",
                "url": "https://huggingface.co/zhihan1996/DNABERT-2-117M",
                "source_type": "Model Card / Official Source",
                "verification_status": "verified",
                "authority": "TRUSTED_PRIMARY",
                "role": "model_or_dataset_repository",
                "update_enabled": false,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "canonical": [],
        "imageMeta": []
    }
}
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