[NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.
Run large language models more efficiently for generating long content like dialogues and stories.
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Free · no card · unsubscribe anytime[NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.
H2O has 532 stars on GitHub. It has been forked 89 times. H2O is written mainly in Python. It has been in active development since 2023. Its main topics are gpt-3, heavy-hitters, high-throughput, kv-cache.
[NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.
H2O is an open-source project.
Yes. H2O is free and open source — you can use, modify and self-host it.
H2O is written mainly in Python.
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