AI models
Vicuna-7B v0
Parameters
7B
Published
Mar 30, 2023
Vicuna-7B v0 is an AI model developed by Large Model Systems Organization and University of California (UC) Berkeley (United States), first published in March 2023. It works in the language domain, on tasks such as language modeling/generation.
Epoch AI has no training-compute estimate for this model. The model has 7,000,000,000 parameters. It was trained on roughly 207.2M datapoints. Training ran on 8 NVIDIA A100. The compute alone is estimated at $140 in 2023 dollars.
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 likely.
Full record
- Organization
- Large Model Systems Organization, University of California (UC) Berkeley
- Country of organization
- United States
- Domain
- Language
- Task
- Language modeling/generation
- Compute estimation method
- Operation counting
- Parameters
- 7,000,000,000
- Dataset size
- 207.2M
- Training hardware
- NVIDIA A100
- Chips used
- 8
- Training power draw
- 6.4 kW
- Training cost (2023 USD)
- $140
- Model accessibility
- Open weights (restricted use)
- Open weights
- Yes
- Base model
- LLaMA-7B
- Epoch confidence
- Likely
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.
← All ai models