ENT-00001773 · Foundation Model

DBRX Instruct

DBRX Instruct is a instruction-tuned mixture-of-experts model associated with Databricks.

Level IV — ConnectedActiveConnected

Human readable record

Overview

DBRX Instruct is a documented AI model or assistant-related entity associated with Databricks. The record focuses on its public identity, release context, capability class, source lineage and relationship to adjacent model or product families.

Timeline

2024DBRX Instruct public documentation anchor
DBRX Instruct appears in public documentation or stable reference sources as a instruction-tuned mixture-of-experts model associated with Databricks.

Capabilities

Language modelingInstruction followingBenchmarkable AI capability

Known limitations

The record describes the public identity and documented role of the entity, not private implementation details.Capabilities depend on version, deployment context, access conditions and the available public documentation.

Technical and registry detail

Technical description

Structured record for DBRX Instruct. The technical layer identifies entity type, classification, creator or organization, public source anchors, timeline entry, capabilities, limitations, registry status and graph relationships. Source anchor: https://huggingface.co/databricks/dbrx-instruct.

Controlled tags

Foundation ModelModel VariantAI Model

Relationship graph

DBRX Instruct

Created byDatabricks

DBRX Instruct is associated with Databricks through its documented source context.

Machine readable layer

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

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    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00001773",
    "name": "DBRX Instruct",
    "alternateName": [],
    "additionalType": "Foundation Model",
    "description": "DBRX Instruct is a instruction-tuned mixture-of-experts model associated with Databricks.",
    "creator": "Databricks",
    "url": "entity.php?id=ENT-00001773",
    "sameAs": "https://huggingface.co/databricks/dbrx-instruct",
    "lxkeysWorld": {
        "classification": "instruction-tuned mixture-of-experts model",
        "organization": "Databricks",
        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "2024",
        "currentStatus": "Active",
        "registryStatus": "Connected",
        "spatiumIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV — Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:28+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:28+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:28+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "capabilities": [
            "Language modeling",
            "Instruction following",
            "Benchmarkable AI capability"
        ],
        "limitations": [
            "The record describes the public identity and documented role of the entity, not private implementation details.",
            "Capabilities depend on version, deployment context, access conditions and the available public documentation."
        ],
        "tags": [
            "Foundation Model",
            "Model Variant",
            "AI Model"
        ],
        "timeline": [
            {
                "date": "2024",
                "title": "DBRX Instruct public documentation anchor",
                "description": "DBRX Instruct appears in public documentation or stable reference sources as a instruction-tuned mixture-of-experts model associated with Databricks."
            }
        ],
        "relationships": [
            {
                "target": "Databricks",
                "type": "Created by",
                "description": "DBRX Instruct is associated with Databricks through its documented source context.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Model card or official model documentation",
                "url": "https://huggingface.co/databricks/dbrx-instruct",
                "source_type": "Official Documentation",
                "verification_status": "verified"
            }
        ]
    }
}

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