Verified claim · AI-ML · 100% confidence
Llama 3.3 70B released on: 2024-12-06.
Last verified 2026-05-16 · Methodology veritas-v0.1 · 97c04944b4c6345a
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Structured fields
- Subject
- Llama 3.3 70B
- Predicate
released_on- Object
- 2024-12-06
- Confidence
- 100%
- Tags
- llama-3.3 · meta · release · 2024 · open-weights
Sources (1)
[1] model card · Hugging Face · 2024-12-06
meta-llama/Llama-3.3-70B-Instruct model card“The Meta Llama 3.3 multilingual large language model (LLM) is an instruction tuned generative model in 70B (text in/text out).”
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Ready-to-paste citation (Markdown / plain text):
Llama 3.3 70B released on: 2024-12-06. — SourceScore Claim 97c04944b4c6345a (verified 2026-05-16). https://sourcescore.org/api/v1/claims/97c04944b4c6345a.jsonEmbed this claim
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<iframe src="https://sourcescore.org/embed/claim/97c04944b4c6345a/" width="100%" height="360" frameborder="0" loading="lazy" title="Llama 3.3 70B released on: 2024-12-06."></iframe>Preview: open in new tab
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Llama 2 released on: 2023-07-18.
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Llama 3.2 (multimodal release including 11B and 90B vision models) released on: 2024-09-25.
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6aa7e9c75d084617 · 95% confidence · shares 3 tags (release, 2024, open-weights)
Frequently asked questions
Is the claim "Llama 3.3 70B released on: 2024-12-06." verified?
Yes — SourceScore verified this claim with 100% confidence as of 2026-05-16. The verification uses 1 primary sources cross-referenced against the SourceScore methodology (version veritas-v0.1). Full source list + signed JSON envelope linked below.
What is the evidence for "Llama 3.3 70B released on: 2024-12-06."?
Evidence comes from 1 primary sources: Hugging Face. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/97c04944b4c6345a.json includes an HMAC-SHA256 signature for audit verification.
When was this claim last verified by SourceScore?
Last verified 2026-05-16 under methodology version veritas-v0.1. The signed JSON envelope is dated and cryptographically signed for audit trail. Re-verification cadence depends on the claim type and source freshness.
How can I cite this SourceScore claim in my code or article?
Fetch the signed JSON envelope from https://sourcescore.org/api/v1/claims/97c04944b4c6345a.json which includes the verbatim claim, primary sources, confidence, methodology version, last-verified date, and HMAC-SHA256 signature for audit. The CC-BY-4.0 license permits commercial use with attribution to SourceScore.
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/97c04944b4c6345a.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/97c04944b4c6345a.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "Llama 3.3 70B released on: 2024-12-06."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/97c04944b4c6345a.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Llama 3.3 70B released on: 2024-12-06."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_llama_3_3_70b_fact() -> dict:
"""Fetch the verified SourceScore claim for Llama 3.3 70B."""
r = httpx.get("https://sourcescore.org/api/v1/claims/97c04944b4c6345a.json")
return r.json()