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SepLLM
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SepLLM

[ICML 2025] "SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator"

by HKUDS · GitHub
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inference-speedlarge-language-modelsllmsPython
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In plain words

Speed up the performance of large AI models by using a method that compresses data efficiently.

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572571
2026-07-202026-08-31
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[ICML 2025] "SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator"

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.

Frequently asked questions

What is SepLLM?

[ICML 2025] "SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator"

Is SepLLM open source?

SepLLM is an open-source project.

Is SepLLM free?

Yes. SepLLM is free and open source — you can use, modify and self-host it.

What language is SepLLM written in?

SepLLM is written mainly in Python.

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