Live
Organization

Facebook AI Research

Tracked models
65
Largest training run
1.6 x 10^24 FLOP

65 tracked AI models list Facebook AI Research as a developer. The largest is Chameleon-34B, at 1.6 x 10^24 FLOP (May 2024). The most recent tracked release is from June 2025.

Models (65)
Chameleon-34B1.6 x 10^24 FLOPMulti-Token Prediction 7B3.8 x 10^23 FLOPFragLlama: Next-fragment prediction for molecular design3.3 x 10^23 FLOPMulti-Token Prediction 13B1.5 x 10^23 FLOPXLMR-XXL3.4 x 10^22 FLOPXGLM-7.5B2.3 x 10^22 FLOPSEER1.8 x 10^22 FLOPGenerative BST1.4 x 10^22 FLOPV-JEPA 29.1 x 10^21 FLOPDINOv27.4 x 10^21 FLOPHuBERT5.5 x 10^21 FLOPMSA Transformer5.5 x 10^21 FLOPESM1b5.1 x 10^21 FLOPIncoder-6.7B3 x 10^21 FLOPALiBi (L=3072, Lvalid = 3072)8.1 x 10^20 FLOPDD-PPO7.8 x 10^20 FLOPGemNet-OC5.4 x 10^20 FLOPESM1-670M (UR50/D)4.8 x 10^20 FLOPBig Transformer for Back-Translation4.8 x 10^20 FLOPMasked Autoencoders ViT-H4.6 x 10^20 FLOPESM1-670M (UR50/S)4.4 x 10^20 FLOPViT + DINO2.1 x 10^20 FLOPESM1-670M (UR100)1.4 x 10^20 FLOPESM1v1.4 x 10^20 FLOPESM1-85M5.6 x 10^19 FLOPTransformer (Adaptive Input Embeddings) WT1034.5 x 10^19 FLOPFAIRSEQ Adaptive Inputs3.2 x 10^19 FLOPBase LM + kNN LM + Continuous Cache3.1 x 10^19 FLOPESM1-43M2.8 x 10^19 FLOPSandwich Transformer2.4 x 10^19 FLOPAll-attention network + adaptive span1.2 x 10^19 FLOPcode2seq1.2 x 10^19 FLOPFeedback Transformer7.7 x 10^18 FLOPDeLighT3.8 x 10^18 FLOPShortformer3 x 10^18 FLOPRetinaNet-R1012.1 x 10^18 FLOPAlphaX-18.9 x 10^17 FLOPVDCNN (on Amazon Review Full dataset)5.7 x 10^17 FLOPcode2vec3.2 x 10^17 FLOPPluribus6.6 x 10^16 FLOPAudiosealJune 2024Voicebox / VB-EnOctober 20236-Act TetherAugust 2021SemExpJuly 2020Adaptive Inputs + LayerDropSeptember 2019L_UL-seqAugust 2019DenseNet201January 2018WGAN (Wasserstein GAN)December 2017RetinaNet-R50August 2017Mask R-CNNMarch 2017GCNN-14December 2016Neural cache model (size=2000)December 2016LSTM (PTB)December 2016LSTM (WT2)December 2016Neural cache model (size=2000) (300M)December 2016LSTM (WT103)December 2016DTN (Domain Transfer Network)November 2016DenseNet-264August 2016Character-enriched word2vecJuly 2016fastTextJuly 2016YOLOJune 2015Stack RNNMarch 2015SCRN (Structurally Constrained Recurrent Network)December 2014N-gram+Cache (PTB)December 2014N-gram (PTB)December 2014
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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