SourceScore

Verified claim · AI-ML · 100% confidence

Databricks DBRX publicly released on: 2024-03-27 by Databricks — 132B-parameter MoE (36B active per token), Databricks Open Model License.

Last verified 2026-05-16 · Methodology veritas-v0.1 · bbffd3da8c5258aa

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Structured fields

Subject
Databricks DBRX
Predicate
publicly_released_on
Object
2024-03-27 by Databricks — 132B-parameter MoE (36B active per token), Databricks Open Model License
Confidence
100%
Tags
dbrx · databricks · moe · open-weight · released_on · 2024

Sources (2)

  1. [1] official blog · Databricks · 2024-03-27

    Introducing DBRX: A New State-of-the-Art Open LLM
    “DBRX is a 132B-parameter Mixture-of-Experts large language model with 36B active per token, outperforming GPT-3.5 on most benchmarks.”
  2. [2] model card · Databricks / Hugging Face · 2024-03-27

    dbrx-instruct on Hugging Face

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Databricks DBRX publicly released on: 2024-03-27 by Databricks — 132B-parameter MoE (36B active per token), Databricks Open Model License. — SourceScore Claim bbffd3da8c5258aa (verified 2026-05-16). https://sourcescore.org/api/v1/claims/bbffd3da8c5258aa.json

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Frequently asked questions

How has SourceScore reviewed the claim "Databricks DBRX publicly released on: 2024-03-27 by Databricks — 132B-parameter MoE (36B active per token), Databricks Open Model License."?

SourceScore records this assertion with 100% legacy editorial confidence as of 2026-05-16, under methodology veritas-v0.1. That metadata is not a truth guarantee. Inspect the 2 cited source record(s), excerpts, and live evidence below.

What is the evidence for "Databricks DBRX publicly released on: 2024-03-27 by Databricks — 132B-parameter MoE (36B active per token), Databricks Open Model License."?

The record lists 2 cited source(s): Databricks, Databricks / Hugging Face. Each is shown below with a short excerpt and URL. The JSON record at https://sourcescore.org/api/v1/claims/bbffd3da8c5258aa.json includes SourceScore-issued HMAC integrity metadata, not a public verification proof.

When was this claim record last reviewed by SourceScore?

Last reviewed 2026-05-16 under methodology version veritas-v0.1. The dated JSON record includes SourceScore-issued HMAC metadata, which is not publicly recomputable. Refetch the record and inspect current evidence before relying on it.

How can I cite this SourceScore claim in my code or article?

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cURL

curl https://sourcescore.org/api/v1/claims/bbffd3da8c5258aa.json

JavaScript / TypeScript

const r = await fetch("https://sourcescore.org/api/v1/claims/bbffd3da8c5258aa.json"); const envelope = await r.json(); console.log(envelope.claim.statement); // "Databricks DBRX publicly released on: 2024-03-27 by Databricks — 132B-parameter MoE (36B active per token), Databricks Open Model License."

Python

import httpx r = httpx.get("https://sourcescore.org/api/v1/claims/bbffd3da8c5258aa.json") envelope = r.json() print(envelope["claim"]["statement"]) # "Databricks DBRX publicly released on: 2024-03-27 by Databricks — 132B-parameter MoE (36B active per token), Databricks Open Model License."

LangChain (retrieve-then-cite)

from langchain_core.tools import tool import httpx @tool def get_databricks_dbrx_fact() -> dict: """Fetch the verified SourceScore claim for Databricks DBRX.""" r = httpx.get("https://sourcescore.org/api/v1/claims/bbffd3da8c5258aa.json") return r.json()
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