TinyLlama

Community · 2024 · LLM · Open-source/community

A to Z

A · App: No
B · Built By: Community
C · CEO & Politics: N/A (academic research) — No public partisan activity documented
D · Date: 2024
E · Expertise: Intermediate+
F · Free Tier: Yes
G · Generates: Text only
H · Deployment: Cloud + Local (open weights)
I · Inputs: Text
J · Jurisdiction: Open-source/community
K · Key Staffers: Peiyuan Zhang (Lead author), Guangtao Zeng (Co-lead author), Wei Lu (Senior author)
L · Languages: English-primary
M · Model Type: LLM
N · Safety Issues: None reported
O · Open Source: Yes — open weights
P · Pricing: Free (open weights, Apache 2.0)
Q · AIDb Rating: [UNKNOWN]
R · What Makes It Special: TinyLlama, a compact 1.1B-parameter model pretrained on 3 trillion tokens (training began Sept 1, 2023, on 16 A100-40G GPUs) with exactly the same architecture and tokenizer as Llama 2, so it drops into Llama-based projects; aimed at uses with tight compute and memory budgets.
S · Stock / Status: Research / open-source project
T · Training Cutoff: [UNKNOWN]
U · Users: [UNKNOWN]
V · Voice Chat: No
W · Weights: Downloadable
X · X Handle: [UNKNOWN]
Y · Year Founded: [UNKNOWN]
Z · Bottom Line: Open-weights LLM from Community, released 2024.

Data completeness 81% · Last verified 2026-05-12 · Primary source ↗

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