[ICML 2025] "SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator"
Speed up the performance of large AI models by using a method that compresses data efficiently.
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SepLLM has 572 stars on GitHub. It has been forked 48 times. SepLLM is written mainly in Python. It has been in active development since 2024. Its main topics are inference-speed, large-language-models, llms.
[ICML 2025] "SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator"
SepLLM is an open-source project.
Yes. SepLLM is free and open source — you can use, modify and self-host it.
SepLLM is written mainly in Python.
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