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Zephyr 7B

Parameters
7B
Published
Oct 25, 2023

Zephyr 7B is an AI model developed by Hugging Face (United States), first published in October 2023. It works in the language domain, on tasks such as language modeling/generation and question answering.

Epoch AI has no training-compute estimate for this model. The model has 7,000,000,000 parameters. Training ran on 16 NVIDIA A100 for about 4 hours.

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

Full record
Organization
Hugging Face
Country of organization
United States
Domain
Language
Task
Language modeling/generation, Question answering
Compute estimation method
Hardware
Parameters
7,000,000,000
Training hardware
NVIDIA A100
Chips used
16
Training time
4 h
Training power draw
12.7 kW
Numerical format
BF16
Model accessibility
Open weights (unrestricted)
Open weights
Yes
Base model
Mistral 7B
Epoch confidence
Confident
More from Hugging Face
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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