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Model release pace

Monthly counts by original publication date. Completed months compare with their previous month; the current month compares equal completed days. A zero denominator has no percentage growth. This is not an exhaustive model census.

Model release pace

Model release pace2024-10-01: 11.00; 2024-11-01: 8.00; 2024-12-01: 13.00; 2025-01-01: 10.00; 2025-02-01: 4.00; 2025-03-01: 10.00; 2025-04-01: 6.00; 2025-05-01: 7.00; 2025-06-01: 4.00; 2025-07-01: 10.00; 2025-08-01: 11.00; 2025-09-01: 8.00; 2025-10-01: 6.00; 2025-11-01: 19.00; 2025-12-01: 12.00; 2026-01-01: 1.00; 2026-02-01: 9.00; 2026-03-01: 9.00; 2026-04-01: 17.00; 2026-05-01: 6.00; 2026-06-01: 9.00; 2026-07-01: 7.00; 2026-08-01: 8.00; 2026-09-01: 12.0009.5192024-10-01: 11.00 2024-11-01: 8.00 2024-12-01: 13.00 2025-01-01: 10.00 2025-02-01: 4.00 2025-03-01: 10.00 2025-04-01: 6.00 2025-05-01: 7.00 2025-06-01: 4.00 2025-07-01: 10.00 2025-08-01: 11.00 2025-09-01: 8.00 2025-10-01: 6.00 2025-11-01: 19.00 2025-12-01: 12.00 2026-01-01: 1.00 2026-02-01: 9.00 2026-03-01: 9.00 2026-04-01: 17.00 2026-05-01: 6.00 2026-06-01: 9.00 2026-07-01: 7.00 2026-08-01: 8.00 2026-09-01: 12.00 10/0109/01 UTC

Monthly release growth

Monthly release growth2024-10-01: -15.38%; 2024-11-01: -27.27%; 2024-12-01: 62.50%; 2025-01-01: -23.08%; 2025-02-01: -60.00%; 2025-03-01: 150.00%; 2025-04-01: -40.00%; 2025-05-01: 16.67%; 2025-06-01: -42.86%; 2025-07-01: 150.00%; 2025-08-01: 10.00%; 2025-09-01: -27.27%; 2025-10-01: -25.00%; 2025-11-01: 216.67%; 2025-12-01: -36.84%; 2026-01-01: -91.67%; 2026-02-01: 800.00%; 2026-03-01: 0.00%; 2026-04-01: 88.89%; 2026-05-01: -64.71%; 2026-06-01: 50.00%; 2026-07-01: -22.22%; 2026-08-01: 14.29%; 2026-09-01: 71.43%-91.7354.28002024-10-01: -15.38 %2024-11-01: -27.27 %2024-12-01: 62.50 %2025-01-01: -23.08 %2025-02-01: -60.00 %2025-03-01: 150.00 %2025-04-01: -40.00 %2025-05-01: 16.67 %2025-06-01: -42.86 %2025-07-01: 150.00 %2025-08-01: 10.00 %2025-09-01: -27.27 %2025-10-01: -25.00 %2025-11-01: 216.67 %2025-12-01: -36.84 %2026-01-01: -91.67 %2026-02-01: 800.00 %2026-03-01: 0.00 %2026-04-01: 88.89 %2026-05-01: -64.71 %2026-06-01: 50.00 %2026-07-01: -22.22 %2026-08-01: 14.29 %2026-09-01: 71.43 %10/0109/01 UTC

Total 1,072 · Page 27/43 · Observed 9/27/2026, 3:30:50 AM

NameGroupReported valueDateNotesSource
Megatron-LM (1.2B)Nvidia—2019-09-17UnreleasedSource ↗
Megatron-BERTNvidia—2019-09-17UnreleasedSource ↗
UDSMProtFraunhofer Heinrich Hertz Institute—2019-09-04Open weights (unrestricted)Source ↗
Mogrifier (d2, MoS2, MC) + dynamic evalDeepMind,University of Oxford—2019-09-04UnreleasedSource ↗
trRosettaNankai University,University of Washington,Tianjin University,Harvard University—2019-08-22Open weights (unrestricted)Source ↗
EN^2AS with performance rewardBeijing Institute of Technology,University of Technology Sydney,Monash University—2019-07-22UnreleasedSource ↗
PluribusFacebook AI Research—2019-07-11UnreleasedSource ↗
BigBiGANGoogle—2019-07-04Open weights (unrestricted)Source ↗
RoBERTa LargeFacebook,University of Washington—2019-07-01Open weights (unrestricted)Source ↗
Walking Minotaur robotUniversity of California (UC) Berkeley,Google Brain—2019-06-19UnreleasedSource ↗
LaNet-L (CIFAR-10)Brown University,Facebook—2019-06-17Open weights (non-commercial)Source ↗
PG-SWGANETH Zurich—2019-06-15UnreleasedSource ↗
FixRes ResNeXt-101 WSLFacebook AI—2019-06-14Open weights (non-commercial)Source ↗
Char-CNN-BiLSTMCapital One—2019-06-13UnreleasedSource ↗
AWD-LSTM + MoS + Partial ShuffledUniversity of Texas at Austin—2019-06-10Open weights (non-commercial)Source ↗
Transformer-XL Large + Phrase InductionMassachusetts Institute of Technology (MIT),University of Illinois Urbana-Champaign (UIUC)—2019-06-04UnreleasedSource ↗
XLNetCarnegie Mellon University (CMU),Google Brain—2019-06-01Open weights (unrestricted)Source ↗
XLMFacebook—2019-06-01Open weights (non-commercial)Source ↗
DLRM-2020Facebook AI—2019-05-31UnreleasedSource ↗
EfficientNet-L2Google—2019-05-28Open weights (unrestricted)Source ↗
CPC v2DeepMind,University of California (UC) Berkeley—2019-05-22UnreleasedSource ↗
AWD-LSTM-DRILL + dynamic evaluation† (WT2)IDIAP—2019-05-14Open weights (unrestricted)Source ↗
ResNeXt-101 Billion-scaleFacebook AI—2019-05-02Open weights (non-commercial)Source ↗
RaptorX-ContactToyota Technological Institute at Chicago—2019-05-02UnreleasedSource ↗
Neuro-Symbolic Concept LearnerMassachusetts Institute of Technology (MIT),Tsinghua University,MIT-IBM Watson AI Lab,DeepMind—2019-04-26UnreleasedSource ↗

Data: Epoch AI · CC BY · View source · Automatically synced; not an exhaustive global sample