Llama 3.1-70B

Training compute

7.9×10²⁴ FLOP

Parameters

70B

Published

Jul 23, 2024

Llama 3.1-70B is an AI model developed by Meta AI (United States), first published in July 2024. It works in the language domain, on tasks such as language modeling/generation.

Training it took an estimated 7.9×10²⁴ FLOP of compute (estimation method: hardware,operation counting). The model has 70,000,000,000 parameters. It was trained on roughly 15T datapoints.

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
Training compute: 7.9×10²⁴ FLOP
Compute estimation method: Hardware, Operation counting
Parameters: 70,000,000,000
Dataset size: 15T
Model accessibility: Open weights (restricted use)
Open weights: Yes
Epoch confidence: Confident

Benchmark results

01

Epoch Capabilities Index

ECI Score

125.5