Guanaco-65B

Training compute

5.5×10²³ FLOP

Parameters

65B

Published

May 23, 2023

Guanaco-65B is an AI model developed by University of Washington (United States), first published in May 2023. It works in the language domain, on tasks such as chat.

Training it took an estimated 5.5×10²³ FLOP of compute (estimation method: hardware). The model has 65,000,000,000 parameters.

Access: Open weights (non-commercial). Its weights are openly available. It is built on top of LLaMA-65B. The reference paper has 4,560 citations. Epoch AI rates the confidence of this record as confident.

Full record

Organization: University of Washington
Country of organization: United States
Domain: Language
Task: Chat
Training compute: 5.5×10²³ FLOP
Compute estimation method: Hardware
Parameters: 65,000,000,000
Training time: 24 h
Model accessibility: Open weights (non-commercial)
Open weights: Yes
Base model: LLaMA-65B
Citations: 4,560
Epoch confidence: Confident