SourceScore

Verified claim · AI-ML · 100% confidence

Llama 4 released on: 2025-04-05 by Meta — Scout + Maverick + Behemoth lineup.

Last verified 2026-05-16 · Methodology veritas-v0.1 · d5ce871dc69e7b04

Structured fields

Subject
Llama 4
Predicate
released_on
Object
2025-04-05 by Meta — Scout + Maverick + Behemoth lineup
Confidence
100%
Tags
llama-4 · meta · open-weights · moe · multimodal · released_on · 2025

Sources (2)

  1. [1] official blog · Meta AI · 2025-04-05

    The Llama 4 herd: The beginning of a new era of natively multimodal AI innovation
    Today, we're sharing the first models in the Llama 4 herd, which will enable people to build more personalized multimodal experiences. Llama 4 Scout, a 17 billion active parameter model with 16 experts, is the best multimodal model in the world in its class.
  2. [2] model card · Meta AI · 2025-04-05

    Llama 4 Scout 17B-16E-Instruct — Hugging Face model card

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Ready-to-paste citation (Markdown / plain text):

Llama 4 released on: 2025-04-05 by Meta — Scout + Maverick + Behemoth lineup. — SourceScore Claim d5ce871dc69e7b04 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/d5ce871dc69e7b04.json

Embed this claim

Drop this iframe into any blog post, docs page, or knowledge base. The widget renders the signed claim + primary source + click-through to this canonical page. CC-BY 4.0; attribution included.

<iframe src="https://sourcescore.org/embed/claim/d5ce871dc69e7b04/" width="100%" height="360" frameborder="0" loading="lazy" title="Llama 4 released on: 2025-04-05 by Meta — Scout + Maverick + Behemoth lineup."></iframe>

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Use this claim in your code

Fetch this signed envelope from your application. The response includes the verbatim excerpt, primary source URLs, and an HMAC-SHA256 signature you can verify locally for audit trails.

cURL

curl https://sourcescore.org/api/v1/claims/d5ce871dc69e7b04.json

JavaScript / TypeScript

const r = await fetch("https://sourcescore.org/api/v1/claims/d5ce871dc69e7b04.json"); const envelope = await r.json(); console.log(envelope.claim.statement); // "Llama 4 released on: 2025-04-05 by Meta — Scout + Maverick + Behemoth lineup."

Python

import httpx r = httpx.get("https://sourcescore.org/api/v1/claims/d5ce871dc69e7b04.json") envelope = r.json() print(envelope["claim"]["statement"]) # "Llama 4 released on: 2025-04-05 by Meta — Scout + Maverick + Behemoth lineup."

LangChain (retrieve-then-cite)

from langchain_core.tools import tool import httpx @tool def get_llama_4_fact() -> dict: """Fetch the verified SourceScore claim for Llama 4.""" r = httpx.get("https://sourcescore.org/api/v1/claims/d5ce871dc69e7b04.json") return r.json()