SantaCoder

BigCode/Hugging Face · 2023 · Code LLM · France / USA

A to Z

A · App: No
B · Built By: BigCode/Hugging Face
C · CEO & Politics: [UNKNOWN]
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: France / USA
K · Key Staffers: Loubna Ben Allal (Lead author), Leandro von Werra (Corresponding author), Harm de Vries (Corresponding author)
L · Languages: English-primary
M · Model Type: Code LLM
N · Safety Issues: None reported
O · Open Source: Yes — open weights
P · Pricing: Free (open weights, BigCode OpenRAIL-M v1 license)
Q · AIDb Rating: [UNKNOWN]
R · What Makes It Special: BigCode's 1.1B-parameter SantaCoder code models, trained with Fill-in-the-Middle on the Python, Java and JavaScript subset of The Stack v1.1 (opt-outs excluded); the main model uses multi-query attention, a 2,048-token context and 236B training tokens. A base model, not instruction-tuned.
S · Stock / Status: Research / open-source project
T · Training Cutoff: [UNKNOWN]
U · Users: [UNKNOWN]
V · Voice Chat: No
W · Weights: Downloadable
X · X Handle: @BigCodeProject
Y · Year Founded: [UNKNOWN]
Z · Bottom Line: Open-weights Code LLM from BigCode/Hugging Face, released 2023.

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

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