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Open weightsStanford University/10 trustVerified
Alpaca 7B logo

Alpaca 7B

Stanford's landmark 2023 instruction-following model, trained for under $600.

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About

Alpaca is the instruction-following language model released by Stanford's CRFM on March 13, 2023, created by fine-tuning LLaMA 7B on 52,000 instruction demonstrations generated from OpenAI's text-davinci-003 via the Self-Instruct method. Total cost was under $600 — under $500 for data generation and under $100 for three hours of fine-tuning on eight A100s — proving that GPT-3.5-class instruction following was reproducible on an academic budget and igniting the wave of open instruction-tuned models.

Hard limitations: the dataset and weights are CC BY-NC 4.0, strictly non-commercial and research-only, and Stanford pulled the public demo over hosting costs and safety. Alpaca hallucinates, was never safety-aligned, and is historically important rather than practically useful today; consider it a museum piece that changed the industry.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

March 13, 2023

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

researchinstruction-followingfine-tuning-studieseducation

Trust score — 10/10

/10 trustVerified

Scored 10/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 72; Trending score 95/100 from researcher assessment.

Sources