Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3 (NeurIPS'25).
Use a method that speeds up the text generation of large language models while keeping the quality of the output consistent.
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Free · no card · unsubscribe anytimeOfficial Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3 (NeurIPS'25).
EAGLE has 2.5k stars on GitHub. It has been forked 296 times. EAGLE is written mainly in Python. It has been in active development since 2023. Its main topics are large-language-models, llm-inference, speculative-decoding.
Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3 (NeurIPS'25).
EAGLE is an open-source project.
Yes. EAGLE is free and open source — you can use, modify and self-host it.
EAGLE is written mainly in Python.
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