Stable LM 2 12B

Training compute

2.9×10²³ FLOP

Parameters

12.1B

Published

Apr 8, 2024

Stable LM 2 12B is an AI model developed by Stability AI (United Kingdom), first published in April 2024. It works in the language domain, on tasks such as language modeling/generation and translation.

Training it took an estimated 2.9×10²³ FLOP of compute (estimation method: operation counting). The model has 12,143,605,760 parameters. It was trained on roughly 2T 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: Stability AI
Country of organization: United Kingdom
Domain: Language
Task: Language modeling/generation, Translation
Training compute: 2.9×10²³ FLOP
Compute estimation method: Operation counting
Parameters: 12,143,605,760
Dataset size: 2T
Training hardware: NVIDIA H100 SXM5 80GB
Numerical format: BF16
Model accessibility: Open weights (restricted use)
Open weights: Yes
Epoch confidence: Confident