Alpaca

Stanford · 2023 · LLM · USA

A to Z

A · App: No
B · Built By: Stanford
C · CEO & Politics: N/A (academic research) — No public partisan activity documented
D · Date: 2023
E · Expertise: Intermediate+
F · Free Tier: Yes
G · Generates: Text only
H · Deployment: Cloud + Local (open weights)
I · Inputs: Text
J · Jurisdiction: USA
K · Key Staffers: Rohan Taori (Co-lead author), Ishaan Gulrajani (Co-lead author), Tianyi Zhang (Co-lead author), Yann Dubois (Co-lead author), Xuechen Li (Co-lead author), Tatsunori B. Hashimoto (Senior author)
L · Languages: English-primary
M · Model Type: LLM
N · Safety Issues: None reported
O · Open Source: Yes — open weights
P · Pricing: Free for non-commercial research (weight diff, CC BY-NC 4.0)
Q · AIDb Rating: [UNKNOWN]
R · What Makes It Special: Stanford's Alpaca 7B, Meta's LLaMA 7B fine-tuned on 52K instruction-following examples generated with a modified Self-Instruct method; in a preliminary human evaluation it behaved similarly to OpenAI's text-davinci-003. Released for research use only as a weight diff with its data and code; the live demo is suspended.
S · Stock / Status: University
T · Training Cutoff: [UNKNOWN]
U · Users: [UNKNOWN]
V · Voice Chat: No
W · Weights: Downloadable
X · X Handle: @StanfordAILab
Y · Year Founded: [UNKNOWN]
Z · Bottom Line: Open-weights LLM from Stanford, released 2023.

Data completeness 85% · Last verified 2026-05-12 · Primary source ↗

“Alpaca.” AIDb — The AI Database. Verified 2026-05-12. https://theaidatabase.com/m/alpaca.html