SourceScore

Verified claim · AI-ML · 100% confidence

Stanford Alpaca publicly released on: 2023-03-13 — instruction-tuned LLaMA 7B from Stanford CRFM.

Last verified 2026-05-16 · Methodology veritas-v0.1 · a1cbe9c4e3a5c8d3

SourceScore rates how reliable a source is to cite — for AI answers and research. This is one verified claim from the catalog.

Structured fields

Subject
Stanford Alpaca
Predicate
publicly_released_on
Object
2023-03-13 — instruction-tuned LLaMA 7B from Stanford CRFM
Confidence
100%
Tags
stanford-alpaca · alpaca · stanford · llama · instruction-tuning · released_on · 2023

Sources (2)

  1. [1] official blog · Stanford CRFM · 2023-03-13

    Alpaca: A Strong, Replicable Instruction-Following Model
    We introduce Alpaca 7B, a model fine-tuned from the LLaMA 7B model on 52K instruction-following demonstrations. On our preliminary evaluation of single-turn instruction following, Alpaca behaves qualitatively similarly to OpenAI's text-davinci-003, while being surprisingly small and easy/cheap to reproduce.
  2. [2] github release · Tatsu Lab / Stanford · 2023-03-13

    Stanford Alpaca — official GitHub repository

Cite this claim

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

Stanford Alpaca publicly released on: 2023-03-13 — instruction-tuned LLaMA 7B from Stanford CRFM. — SourceScore Claim a1cbe9c4e3a5c8d3 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/a1cbe9c4e3a5c8d3.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/a1cbe9c4e3a5c8d3/" width="100%" height="360" frameborder="0" loading="lazy" title="Stanford Alpaca publicly released on: 2023-03-13 — instruction-tuned LLaMA 7B from Stanford CRFM."></iframe>

Preview: open in new tab

Related claims

Other verified claims sharing tags with this one — useful for LLM retrieval graphs and citation discovery.

Frequently asked questions

Is the claim "Stanford Alpaca publicly released on: 2023-03-13 — instruction-tuned LLaMA 7B from Stanford CRFM." verified?

Yes — SourceScore verified this claim with 100% confidence as of 2026-05-16. The verification uses 2 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 "Stanford Alpaca publicly released on: 2023-03-13 — instruction-tuned LLaMA 7B from Stanford CRFM."?

Evidence comes from 2 primary sources: Stanford CRFM, Tatsu Lab / Stanford. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/a1cbe9c4e3a5c8d3.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/a1cbe9c4e3a5c8d3.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/a1cbe9c4e3a5c8d3.json

JavaScript / TypeScript

const r = await fetch("https://sourcescore.org/api/v1/claims/a1cbe9c4e3a5c8d3.json"); const envelope = await r.json(); console.log(envelope.claim.statement); // "Stanford Alpaca publicly released on: 2023-03-13 — instruction-tuned LLaMA 7B from Stanford CRFM."

Python

import httpx r = httpx.get("https://sourcescore.org/api/v1/claims/a1cbe9c4e3a5c8d3.json") envelope = r.json() print(envelope["claim"]["statement"]) # "Stanford Alpaca publicly released on: 2023-03-13 — instruction-tuned LLaMA 7B from Stanford CRFM."

LangChain (retrieve-then-cite)

from langchain_core.tools import tool import httpx @tool def get_stanford_alpaca_fact() -> dict: """Fetch the verified SourceScore claim for Stanford Alpaca.""" r = httpx.get("https://sourcescore.org/api/v1/claims/a1cbe9c4e3a5c8d3.json") return r.json()
Sister toolIs your own site getting cited by AI? CitationDesk shows how visible you are to ChatGPT, Claude, Perplexity & Gemini — get your free AI Visibility Score →