Code Llama-34B

Training compute

5.3×10²³ FLOP

Parameters

34B

Published

Aug 14, 2023

Code Llama-34B is an AI model developed by Meta AI (United States), first published in August 2023. It works in the language domain, on tasks such as code generation.

Training it took an estimated 5.3×10²³ FLOP of compute (estimation method: operation counting). The model has 34,000,000,000 parameters. It was trained on roughly 600B datapoints. Training ran on NVIDIA A100 SXM4 80 GB.

Access: Open weights (restricted use). Its weights are openly available. It is built on top of Llama 2-34B. The reference paper has 3,163 citations. Epoch AI rates the confidence of this record as confident.

Full record

Organization: Meta AI
Country of organization: United States
Domain: Language
Task: Code generation
Training compute: 5.3×10²³ FLOP
Compute estimation method: Operation counting
Parameters: 34,000,000,000
Dataset size: 600B
Training hardware: NVIDIA A100 SXM4 80 GB
Model accessibility: Open weights (restricted use)
Open weights: Yes
Base model: Llama 2-34B
Citations: 3,163
Epoch confidence: Confident