En vivo
Organization

University of California (UC) Berkeley

Tracked models
67
Largest training run
2.3 x 10^24 FLOP

67 tracked AI models list University of California (UC) Berkeley as a developer. The largest is Evo 2 40B, at 2.3 x 10^24 FLOP (February 2025). The most recent tracked release is from March 2025.

Models (67)
Evo 2 40B2.3 x 10^24 FLOPESM3 (98B)1.1 x 10^24 FLOPOpenVLA1.1 x 10^23 FLOPEvo 2 7B10^23 FLOPEvo2 x 10^22 FLOPPrithvi-EO-2.0 600M2 x 10^22 FLOPResNet-RS1.8 x 10^22 FLOPPrithvi-EO-2.0 300M7.1 x 10^21 FLOPMSA Transformer5.5 x 10^21 FLOPIncoder-6.7B3 x 10^21 FLOPESM3-open-small2.7 x 10^21 FLOPNVILA 8B2.3 x 10^21 FLOPMeissonic1.2 x 10^21 FLOPMACE-MP-08.8 x 10^20 FLOPDiT-XL/26 x 10^20 FLOPOcto-Base5.8 x 10^20 FLOPLLaVA-NeXT-34B (LLaVA-1.6)2.6 x 10^20 FLOPESM1v1.4 x 10^20 FLOPDenoising Diffusion Probabilistic Models (LSUN Bedroom)7.8 x 10^19 FLOPASE4.5 x 10^19 FLOPTAPE Transformer3 x 10^19 FLOPQT-Opt1.4 x 10^19 FLOP6-Layer-Tensor-Transformer+AdaHessian1.6 x 10^18 FLOPTensor-Transformer(1core)+PN (WT103)1.6 x 10^18 FLOPGELU for CIFAR-107.4 x 10^11 FLOPNVILA 15BDecember 2024RNA language models predict mutations that improve RNA functionSeptember 2024LongVILA-7BAugust 2024BADGERJune 2024DigiRLJune 2024Octo-SmallMay 2024Humanoid LocomotionFebruary 2024SeamlessM4TDecember 2023Starling-LM-7B-alphaNovember 2023CELLE-2October 2023Vicuna-7B-v1.5August 2023Vicuna-13B-v1.5August 2023Vicuna-7B-v1.3June 2023Vicuna-33B-v1.3June 2023Vicuna-13B-v1.3June 2023Vicuna-13B v0March 2023Vicuna-7B v0March 2023ProteinDTFebruary 2023UniPiJanuary 2023GPT-2 (AMPS)November 2021EfficientZeroOctober 2021SqueezeBERTJune 20203-Layer-Tensor-Transformer+AdaHessianJune 2020CURLApril 2020Tensor-Transformer(1core)+PN (PTB)March 2020Walking Minotaur robotJune 2019CPC v2May 2019Flow++ (CIFAR10)May 2019PixelSNAIL (CIFAR 10)December 2017PixelSNAIL (ImageNet)December 2017Tacotron 2December 2017Adversarial Joint Adaptation Network (ResNet)August 2017Variational Lossy Autoencoder (VLAE) MNISTMarch 2017Diabetic Retinopathy Detection NetDecember 2016Image-to-image cGANNovember 2016SqueezeNetFebruary 2016TRPOFebruary 2015Fully Convolutional NetworksNovember 2014LRCNNovember 2014R-CNN (T-net)November 2013Adaptive SubgradOctober 2011RL for helicopter flightMarch 2006
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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