Verified claim · AI-ML · 100% confidence
Llama 3.1 405B parameter count: 405000000000.
Last verified 2026-05-16 · Methodology veritas-v0.1 · 282b0523eefd9afd
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Llama 3.1 released on: 2024-07-23.
100% confidence · shares 3 tags (llama-3.1, meta, 405b)
Llama 3 70B parameter count: 70000000000.
100% confidence · shares 2 tags (parameters, meta)
Llama 2 70B parameter count: 70000000000.
100% confidence · shares 2 tags (parameters, meta)
Llama 3 8B parameter count: 8000000000.
100% confidence · shares 2 tags (parameters, meta)
Llama 2 released on: 2023-07-18.
100% confidence · shares 1 tag (meta)
Llama 1 released on: 2023-02-24.
100% confidence · shares 1 tag (meta)
Llama 3 released on: 2024-04-18.
100% confidence · shares 1 tag (meta)
GPT-3 parameter count: 175000000000.
100% confidence · shares 1 tag (parameters)
Structured fields
- Subject
- Llama 3.1 405B
- Predicate
parameter_count- Object
- 405000000000
- Confidence
- 100%
- Tags
- llama-3.1 · parameters · 405b · meta
Sources (2)
[1] official blog · Meta AI · 2024-07-23
Introducing Llama 3.1: Our most capable models to date[2] model card · Hugging Face
meta-llama/Llama-3.1-405B model cardHugging Face is rated by SourceScore — see its reliability →
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Llama 3.1 405B parameter count: 405000000000. — SourceScore Claim 282b0523eefd9afd (verified 2026-05-16). https://sourcescore.org/api/v1/claims/282b0523eefd9afd.jsonEmbed this claim
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Frequently asked questions
How has SourceScore reviewed the claim "Llama 3.1 405B parameter count: 405000000000."?
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 "Llama 3.1 405B parameter count: 405000000000."?
The record lists 2 cited source(s): Meta AI, Hugging Face. Each is shown below with a short excerpt and URL. The JSON record at https://sourcescore.org/api/v1/claims/282b0523eefd9afd.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?
Fetch the JSON record from https://sourcescore.org/api/v1/claims/282b0523eefd9afd.json, including the verbatim claim, cited evidence, confidence, methodology version, and last-verified date. Refetch the canonical HTTPS record and inspect cited evidence; the HMAC tag is not publicly independently verifiable. The CC-BY-4.0 license permits commercial use with attribution to SourceScore.
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cURL
curl https://sourcescore.org/api/v1/claims/282b0523eefd9afd.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/282b0523eefd9afd.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "Llama 3.1 405B parameter count: 405000000000."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/282b0523eefd9afd.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Llama 3.1 405B parameter count: 405000000000."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_llama_3_1_405b_fact() -> dict:
"""Fetch the verified SourceScore claim for Llama 3.1 405B."""
r = httpx.get("https://sourcescore.org/api/v1/claims/282b0523eefd9afd.json")
return r.json()