Gpt-neox-20b: An open-source autoregressive language model S Black, S Biderman, E Hallahan, Q Anthony, L Gao, L Golding, H He, ... Proceedings of the ACL Workshop on Challenges & Perspectives in Creating …, 2022 | 634 | 2022 |
Pythia: A suite for analyzing large language models across training and scaling S Biderman, H Schoelkopf, Q Anthony, H Bradley, K O'Brien, E Hallahan, ... International conference on machine learning (ICML), 2023 | 554 | 2023 |
Rwkv: Reinventing rnns for the transformer era B Peng, E Alcaide, Q Anthony, A Albalak, S Arcadinho, S Biderman, ... arXiv preprint arXiv:2305.13048, 2023 | 242* | 2023 |
Emergent and Predictable Memorization in Large Language Models S Biderman, US Prashanth, L Sutawika, H Schoelkopf, Q Anthony, ... https://arxiv.org/pdf/2304.11158.pdf, 2023 | 79 | 2023 |
Gems: Gpu-enabled memory-aware model-parallelism system for distributed dnn training A Jain, AA Awan, AM Aljuhani, JM Hashmi, QG Anthony, H Subramoni, ... SC20: International Conference for High Performance Computing, Networking …, 2020 | 47 | 2020 |
Performance characterization of dnn training using tensorflow and pytorch on modern clusters A Jain, AA Awan, Q Anthony, H Subramoni, DKDK Panda 2019 IEEE International Conference on Cluster Computing (CLUSTER), 1-11, 2019 | 40 | 2019 |
Continual Pre-Training of Large Language Models: How to (re) warm your model? K Gupta, B Thérien, A Ibrahim, ML Richter, Q Anthony, E Belilovsky, I Rish, ... | 32 | 2023 |
GPT-NeoX: Large scale autoregressive language modeling in pytorch A Andonian, Q Anthony, S Biderman, S Black, P Gali, L Gao, E Hallahan, ... | 28* | 2021 |
Blackmamba: Mixture of experts for state-space models Q Anthony, Y Tokpanov, P Glorioso, B Millidge arXiv preprint arXiv:2402.01771, 2024 | 16 | 2024 |
Adaptive and hierarchical large message all-to-all communication algorithms for large-scale dense gpu systems KS Khorassani, CH Chu, QG Anthony, H Subramoni, DK Panda 2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet …, 2021 | 14 | 2021 |
Hypar-flow: Exploiting mpi and keras for scalable hybrid-parallel dnn training using tensorflow AA Awan, A Jain, Q Anthony, H Subramoni, DK Panda arXiv preprint arXiv:1911.05146, 2019 | 14* | 2019 |
Accelerating mpi all-to-all communication with online compression on modern gpu clusters Q Zhou, P Kousha, Q Anthony, K Shafie Khorassani, A Shafi, ... International Conference on High Performance Computing, 3-25, 2022 | 13 | 2022 |
Eagle and finch: Rwkv with matrix-valued states and dynamic recurrence B Peng, D Goldstein, Q Anthony, A Albalak, E Alcaide, S Biderman, ... arXiv preprint arXiv:2404.05892, 2024 | 11 | 2024 |
Simple and scalable strategies to continually pre-train large language models A Ibrahim, B Thérien, K Gupta, ML Richter, Q Anthony, T Lesort, ... arXiv preprint arXiv:2403.08763, 2024 | 11 | 2024 |
trlX: A framework for large scale reinforcement learning from human feedback A Havrilla, M Zhuravinskyi, D Phung, A Tiwari, J Tow, S Biderman, ... Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 11 | 2023 |
Efficient training of semantic image segmentation on summit using horovod and mvapich2-gdr Q Anthony, AA Awan, A Jain, H Subramoni, DKDK Panda 2020 IEEE International Parallel and Distributed Processing Symposium …, 2020 | 7 | 2020 |
Accelerating distributed deep learning training with compression assisted allgather and reduce-scatter communication Q Zhou, Q Anthony, L Xu, A Shafi, M Abduljabbar, H Subramoni, ... 2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2023 | 6 | 2023 |
Mcr-dl: Mix-and-match communication runtime for deep learning Q Anthony, AA Awan, J Rasley, Y He, A Shafi, M Abduljabbar, ... 2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2023 | 4 | 2023 |
Hy-Fi: Hybrid Five-Dimensional Parallel DNN Training on High-Performance GPU Clusters A Jain, A Shafi, Q Anthony, P Kousha, H Subramoni, DK Panda International Conference on High Performance Computing, 109-130, 2022 | 4 | 2022 |
Accelerating GPU-based Machine Learning in Python using MPI Library: A Case Study with MVAPICH2-GDR SM Ghazimirsaeed, Q Anthony, A Shafi, H Subramoni, DKDK Panda 2020 IEEE/ACM Workshop on Machine Learning in High Performance Computing …, 2020 | 4 | 2020 |