BTLM-3B

Training compute

9.8×10²¹ FLOP

Parameters

2.6B

Published

Sep 20, 2023

BTLM-3B is an AI model developed by Cerebras Systems (United States), first published in September 2023. It works in the language domain, on tasks such as language generation and code generation.

Training it took an estimated 9.8×10²¹ FLOP of compute (estimation method: operation counting). The model has 2,600,000,000 parameters. It was trained on roughly 627B datapoints. Training ran on Cerebras CS-2.

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

Full record

Organization: Cerebras Systems
Country of organization: United States
Domain: Language
Task: Language generation, Code generation
Training compute: 9.8×10²¹ FLOP
Compute estimation method: Operation counting
Parameters: 2,600,000,000
Dataset size: 627B
Training hardware: Cerebras CS-2
Model accessibility: Open weights (unrestricted)
Open weights: Yes
Epoch confidence: Confident