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AI models

Swallow

Parameters
70M
Published
Apr 27, 2024

Swallow is an AI model developed by Tokyo Institute of Technology (Japan), first published in April 2024. It works in the language domain, on tasks such as language modeling/generation, chat and translation.

Epoch AI has no training-compute estimate for this model. The model has 70,000,000 parameters. It was trained on roughly 100B datapoints. Training ran on NVIDIA A100.

Access: Open weights (restricted use). Its weights are openly available. It is built on top of Llama 2-70B. Epoch AI rates the confidence of this record as confident.

Full record
Organization
Tokyo Institute of Technology
Country of organization
Japan
Domain
Language
Task
Language modeling/generation, Chat, Translation
Compute estimation method
Reported, Operation counting
Parameters
70,000,000
Dataset size
100B
Training hardware
NVIDIA A100
Model accessibility
Open weights (restricted use)
Open weights
Yes
Base model
Llama 2-70B
Epoch confidence
Confident
More from Tokyo Institute of Technology
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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