AI models
ether0
Parameters
24B
Published
Jun 5, 2025
ether0 is an AI model developed by FutureHouse (United States), first published in June 2025. It works in the materials science and language domain, on tasks such as language modeling/generation and molecular property prediction.
Epoch AI has no training-compute estimate for this model. The model has 24,000,000,000 parameters. Training ran on 384 NVIDIA H100 SXM5 80GB for about 96 hours.
Access: Open weights (unrestricted). Its weights are openly available. It is built on top of Mistral Small 3. Epoch AI rates the confidence of this record as likely.
Full record
- Organization
- FutureHouse
- Country of organization
- United States
- Domain
- Materials science, Language
- Task
- Language modeling/generation, Molecular property prediction
- Compute estimation method
- Hardware
- Parameters
- 24,000,000,000
- Training hardware
- NVIDIA H100 SXM5 80GB
- Chips used
- 384
- Training time
- 96 h
- Training power draw
- 526.5 kW
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Base model
- Mistral Small 3
- Epoch confidence
- Likely
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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