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

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

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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

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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()