Post
1993
π₯ Level up your model training w/ GaLore + Transformers for SOTA results on consumer-grade hardware!
β¬οΈ 82.5% less optimizer state memory footprint without performance degradation by expressing the gradient weight matrix as low rank.
π©πΏβπ» Install via
The integration of GaLore into the training of large language models (LLMs) marks a significant advancement in the field of deep learning, particularly in terms of memory efficiency and the democratization of AI research. By allowing for the training of billion-parameter models on consumer-grade hardware, reducing memory footprint in optimizer states, and leveraging advanced projection matrix techniques, GaLore opens new horizons for researchers and practitioners with limited access to high-end computational resources.
π¬ Find out more about GaLore and investigate lots of juicy technical details: https://huggingface.co/blog/galore
π€ Huge thanks to everyone involved β€οΈ:
β’ authors: @jiaweizhao @Kyriection @beidic Zhangyang Wang @animakumar @tydsh
β’ community contributors: @hiyouga @mdouglas and others!
β’ @ybelkada for taking such swift action in composing and coordinating necessary PRs to get this live at β‘ speed!
ποΈπ Super rewarding to see how @timdettmers work with optimizers is being built upon to achieve even greater heights!
π§ Actually, there are ongoing works to integrate GaLore into bitsandbytes and optimize memory efficiency even further πͺ. We'll keep you posted!
β¬οΈ 82.5% less optimizer state memory footprint without performance degradation by expressing the gradient weight matrix as low rank.
π©πΏβπ» Install via
pip install transformers>=4.39.0 galore-torch. #ProudlyGpuPoorThe integration of GaLore into the training of large language models (LLMs) marks a significant advancement in the field of deep learning, particularly in terms of memory efficiency and the democratization of AI research. By allowing for the training of billion-parameter models on consumer-grade hardware, reducing memory footprint in optimizer states, and leveraging advanced projection matrix techniques, GaLore opens new horizons for researchers and practitioners with limited access to high-end computational resources.
π¬ Find out more about GaLore and investigate lots of juicy technical details: https://huggingface.co/blog/galore
π€ Huge thanks to everyone involved β€οΈ:
β’ authors: @jiaweizhao @Kyriection @beidic Zhangyang Wang @animakumar @tydsh
β’ community contributors: @hiyouga @mdouglas and others!
β’ @ybelkada for taking such swift action in composing and coordinating necessary PRs to get this live at β‘ speed!
ποΈπ Super rewarding to see how @timdettmers work with optimizers is being built upon to achieve even greater heights!
π§ Actually, there are ongoing works to integrate GaLore into bitsandbytes and optimize memory efficiency even further πͺ. We'll keep you posted!