Llama 3.2 3B

Training compute

1.7×10²³ FLOP

Parameters

3.2B

Published

Sep 24, 2024

Llama 3.2 3B is an AI model developed by Meta AI (United States), first published in September 2024. It works in the language domain, on tasks such as language modeling/generation, text summarization, question answering and 2 more.

Training it took an estimated 1.7×10²³ FLOP of compute (estimation method: operation counting,hardware). The model has 3,210,000,000 parameters. It was trained on roughly 9T datapoints. Training ran on NVIDIA H100 SXM5 80GB.

Access: Open weights (restricted use). Its weights are openly available. Epoch AI rates the confidence of this record as confident.

Full record

Organization: Meta AI
Country of organization: United States
Domain: Language
Task: Language modeling/generation, Text summarization, Question answering, Quantitative reasoning, Translation
Training compute: 1.7×10²³ FLOP
Compute estimation method: Operation counting, Hardware
Parameters: 3,210,000,000
Dataset size: 9T
Training hardware: NVIDIA H100 SXM5 80GB
Chip-hours: 460K
Model accessibility: Open weights (restricted use)
Open weights: Yes
Epoch confidence: Confident