SafeAILab / EAGLE
Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3 (NeurIPS'25).
Why this job: works in the areas we cover, but does not say which job it does
What it does
EAGLE (Extrapolation Algorithm for Greater Language-model Efficiency) is a new baseline for fast decoding of Large Language Models (LLMs) with provable performance maintenance. This approach involves extrapolating the second-top-layer contextual feature vectors of LLMs, enabling a significant boost in generation efficiency.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 8 months ago
- Stars
- 2,578
- +7 this week
- Licence
- Custom
- Read before business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 69% closed
- 89 still open
- Pull requests
- 31 merged
- 15 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
Topics
- large-language-models
- llm-inference
- speculative-decoding
Project record
- JobOther AI tools
- StatusListed
- Commits425
- Forks299
- Watching32
- Stars in 28 days+28
- CreatedDec 7, 2023
- First seen by usNov 7, 2026
- CheckedNov 8, 2026