Alexander Borzunov

14 papers A* 5Journal 7Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression. ICLR Tim Dettmers, Ruslan Svirschevski, Vage Egiazarian, Denis Kuznedelev, Elias Frantar, Saleh Ashkboos, Alexander Borzunov, Torsten Hoefler, Dan Alistarh
2023	A*	`conf`	Distributed Inference and Fine-tuning of Large Language Models Over The Internet. NeurIPS Alexander Borzunov, Max Ryabinin, Artem Chumachenko, Dmitry Baranchuk, Tim Dettmers, Younes Belkada, Pavel Samygin, Colin A. Raffel
2023	J	`jnl`	Distributed Inference and Fine-tuning of Large Language Models Over The Internet. CoRR Alexander Borzunov, Max Ryabinin, Artem Chumachenko, Dmitry Baranchuk, Tim Dettmers, Younes Belkada, Pavel Samygin, Colin Raffel
2023	—	`conf`	Petals: Collaborative Inference and Fine-tuning of Large Models. ACL (demo) Alexander Borzunov, Dmitry Baranchuk, Tim Dettmers, Maksim Riabinin, Younes Belkada, Artem Chumachenko, Pavel Samygin, Colin Raffel
2023	A*	`conf`	SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient. ICML Max Ryabinin, Tim Dettmers, Michael Diskin, Alexander Borzunov
2023	J	`jnl`	SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient. CoRR Max Ryabinin, Tim Dettmers, Michael Diskin, Alexander Borzunov
2023	J	`jnl`	SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression. CoRR Tim Dettmers, Ruslan Svirschevski, Vage Egiazarian, Denis Kuznedelev, Elias Frantar, Saleh Ashkboos, Alexander Borzunov, Torsten Hoefler, Dan Alistarh
2022	J	`jnl`	Petals: Collaborative Inference and Fine-tuning of Large Models. CoRR Alexander Borzunov, Dmitry Baranchuk, Tim Dettmers, Max Ryabinin, Younes Belkada, Artem Chumachenko, Pavel Samygin, Colin Raffel
2022	A*	`conf`	Secure Distributed Training at Scale. ICML Eduard Gorbunov, Alexander Borzunov, Michael Diskin, Max Ryabinin
2022	J	`jnl`	Training Transformers Together. CoRR Alexander Borzunov, Max Ryabinin, Tim Dettmers, Quentin Lhoest, Lucile Saulnier, Michael Diskin, Yacine Jernite, Thomas Wolf
2021	A*	`conf`	Distributed Deep Learning In Open Collaborations. NeurIPS Michael Diskin, Alexey Bukhtiyarov, Max Ryabinin, Lucile Saulnier, Quentin Lhoest, Anton Sinitsin, Dmitry Popov, Dmitry V. Pyrkin, Maxim Kashirin, Alexander Borzunov, Albert Villanova del Moral, Denis Mazur, Ilia Kobelev, Yacine Jernite, Thomas Wolf, Gennady Pekhimenko
2021	J	`jnl`	Distributed Deep Learning in Open Collaborations. CoRR Michael Diskin, Alexey Bukhtiyarov, Max Ryabinin, Lucile Saulnier, Quentin Lhoest, Anton Sinitsin, Dmitry Popov, Dmitry V. Pyrkin, Maxim Kashirin, Alexander Borzunov, Albert Villanova del Moral, Denis Mazur, Ilia Kobelev, Yacine Jernite, Thomas Wolf, Gennady Pekhimenko
2021	J	`jnl`	Secure Distributed Training at Scale. CoRR Eduard Gorbunov, Alexander Borzunov, Michael Diskin, Max Ryabinin
2021	—	`conf`	Training Transformers Together. NeurIPS (Competition and Demos) Alexander Borzunov, Max Ryabinin, Tim Dettmers, Quentin Lhoest, Lucile Saulnier, Michael Diskin, Yacine Jernite, Thomas Wolf