DCLM 7B

Training compute

1.1×10²³ FLOP

Parameters

7B

Published

Jul 20, 2024

DCLM 7B is an AI model developed by Apple (United States), first published in July 2024. It works in the language domain, on tasks such as language modeling/generation, question answering and quantitative reasoning.

Training it took an estimated 1.1×10²³ FLOP of compute (estimation method: operation counting). The model has 7,000,000,000 parameters. It was trained on roughly 2.5T 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: Apple
Country of organization: United States
Domain: Language
Task: Language modeling/generation, Question answering, Quantitative reasoning
Training compute: 1.1×10²³ FLOP
Compute estimation method: Operation counting
Parameters: 7,000,000,000
Dataset size: 2.5T
Training hardware: NVIDIA H100 SXM5 80GB
Model accessibility: Open weights (restricted use)
Open weights: Yes
Epoch confidence: Confident