AI models
AMPLIFY
Training compute
1.1×10²² FLOP
Parameters
350M
Published
Sep 23, 2024
AMPLIFY is an AI model developed by Chandar Research Lab, Mila - Quebec AI (originally Montreal Institute for Learning Algorithms), Amgen, Polytechnique Montreal and CIFAR AI Research (Canada and United States), first published in September 2024. It works in the biology domain, on tasks such as protein or nucleotide language model (plm/nlm).
Training it took an estimated 1.1×10²² FLOP of compute (estimation method: hardware). The model has 350,000,000 parameters. Training ran on NVIDIA A100.
Access: Open weights (unrestricted). Its weights are openly available. The reference paper has 24 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Chandar Research Lab, Mila - Quebec AI (originally Montreal Institute for Learning Algorithms), Amgen, Polytechnique Montreal, CIFAR AI Research
- Country of organization
- Canada, United States
- Domain
- Biology
- Task
- Protein or nucleotide language model (pLM/nLM)
- Training compute
- 1.1×10²² FLOP
- Compute estimation method
- Hardware
- Parameters
- 350,000,000
- Training hardware
- NVIDIA A100
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Citations
- 24
- 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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