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Vicuna-7B-v1.3

Parameters
7B
Published
Jun 22, 2023

Vicuna-7B-v1.3 is an AI model developed by Large Model Systems Organization and University of California (UC) Berkeley (United States), first published in June 2023. It works in the language domain, on tasks such as language modeling/generation and chat.

Epoch AI has no training-compute estimate for this model. The model has 7,000,000,000 parameters. Training ran on 8 NVIDIA A100 for about 48 hours.

Access: Open weights (restricted use). Its weights are openly available. It is built on top of LLaMA-7B. Epoch AI rates the confidence of this record as confident.

Full record
Organization
Large Model Systems Organization, University of California (UC) Berkeley
Country of organization
United States
Domain
Language
Task
Language modeling/generation, Chat
Compute estimation method
Operation counting, Hardware
Parameters
7,000,000,000
Training hardware
NVIDIA A100
Chips used
8
Training time
48 h
Training power draw
6.4 kW
Model accessibility
Open weights (restricted use)
Open weights
Yes
Base model
LLaMA-7B
Epoch confidence
Confident
More from Large Model Systems Organization,University of California (UC) Berkeley
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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