AI models
SaulLM-large
Parameters
141B
Published
Jul 28, 2024
SaulLM-large is an AI model developed by Equall.ai (United States), first published in July 2024. It works in the language domain, on tasks such as question answering.
Epoch AI has no training-compute estimate for this model. The model has 141,000,000,000 parameters. Training ran on 384 AMD Radeon Instinct MI250.
Access: Open weights (unrestricted). Its weights are openly available. It is built on top of Mixtral 8x22B. The reference paper has 44 citations. Epoch AI rates the confidence of this record as likely.
Full record
- Organization
- Equall.ai
- Country of organization
- United States
- Domain
- Language
- Task
- Question answering
- Parameters
- 141,000,000,000
- Training hardware
- AMD Radeon Instinct MI250
- Chips used
- 384
- Training power draw
- 378.7 kW
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Base model
- Mixtral 8x22B
- Citations
- 44
- 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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