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EAGLE

SafeAILab/EAGLE

Official Implementation of EAGLE Series Models

GitHub Website

GraphCanon updated 4w · GitHub synced 4w

2.5k stars291 forksLast push 6mo Python Other

Decision brief

EAGLE offers official implementations for its series of large language models with emphasis on inference and speculative decoding.

Good fit when

If your project requires the latest advancements in model capabilities from ICML'24, EMNLP'24, and NeurIPS'25 as provided by EAGLE-1, EAGLE-2, or EAGLE-3.
When your work involves speculative decoding features which are a focal point within this framework.

Avoid when

If the specific advancements and techniques implemented in ICML'24 papers are not relevant to your project.
In cases where speculative decoding does not align with the goals or methods of your application, opting for EAGLE may not be beneficial.

Observed Jul 15, 2026 · Source: enrich:decision_facts

EAGLE alternatives Trust report

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Maintenance and security

Full trust report

Maintenance: Slowing (155d since push); As of 4w
Provenance: Not a fork · Organization account; As of 4w
Security (OSV): No lockfile; As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install EAGLE

PyPI

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

This repository provides the official code for EAGLE-1, EAGLE-2 and EAGLE-3 models published in ICML'24, EMNLP'24, and NeurIPS'25. The project focuses on large language model development including inference capabilities and speculative decoding.

Capability facts

Languages: python
Source: github.language · Jul 25, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Jul 25, 2026)

python -m venv ~/venvs/ea_env

Source link

README

Setup & Installation

git clone https://github.com/SafeAILab/EAGLE.git
cd EAGLE
python -m venv ~/venvs/ea_env
source ~/venvs/ea_env/bin/activate
pip install -r requirements.txt

For agents

This page has a .md twin and JSON over the API.

/tools/safeailab-eagle.md GET /api/graphcanon/tools/safeailab-eagle GET /api/graphcanon/graph?tool=safeailab-eagle