AI models
Poro 34B
Training compute
2.1×10²³ FLOP
Parameters
34.2B
Published
Dec 14, 2023
Poro 34B is an AI model developed by High-Performance Language Technologies (HPLT) and University of Turku (Finland), first published in December 2023. It works in the language domain, on tasks such as code generation and language modeling/generation.
Training it took an estimated 2.1×10²³ FLOP of compute (estimation method: operation counting). The model has 34,200,000,000 parameters. It was trained on roughly 1T datapoints. Training ran on 512 AMD Radeon Instinct MI250X.
Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- High-Performance Language Technologies (HPLT), University of Turku
- Country of organization
- Finland
- Domain
- Language
- Task
- Code generation, Language modeling/generation
- Training compute
- 2.1×10²³ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 34,200,000,000
- Dataset size
- 1T
- Training hardware
- AMD Radeon Instinct MI250X
- Chips used
- 512
- Training power draw
- 507.5 kW
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Epoch confidence
- Confident
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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