{"data":{"slug":"safeailab-eagle","name":"EAGLE","tagline":"Official Implementation of EAGLE Series Models","github_url":"https://github.com/SafeAILab/EAGLE","owner":"SafeAILab","repo":"EAGLE","owner_avatar_url":"https://avatars.githubusercontent.com/u/135037311?v=4","primary_language":"Python","stars":2535,"forks":298,"topics":["large-language-models","llm-inference","speculative-decoding"],"archived":false,"github_pushed_at":"2026-02-20T02:53:29+00:00","maintenance_label":"Slowing","stars_delta_30d":57,"url":"https://www.graphcanon.com/tools/safeailab-eagle","markdown_url":"https://www.graphcanon.com/tools/safeailab-eagle.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/safeailab-eagle","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=safeailab-eagle","description":"Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3 (NeurIPS'25).","homepage_url":"https://arxiv.org/pdf/2503.01840","license":"Other","open_issues":101,"watchers":31,"ai_summary":"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.","readme_excerpt":"## Setup & Installation\n\n\n```bash\ngit clone https://github.com/SafeAILab/EAGLE.git\ncd EAGLE\npython -m venv ~/venvs/ea_env\nsource ~/venvs/ea_env/bin/activate\npip install -r requirements.txt\n```","github_created_at":"2023-12-07T19:08:39+00:00","created_at":"2026-07-11T11:43:12.434439+00:00","updated_at":"2026-09-20T06:33:17.565984+00:00","categories":[{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"}],"tags":[{"slug":"large-language-models","name":"large-language-models"},{"slug":"llm-inference","name":"llm-inference"},{"slug":"speculative-decoding","name":"speculative-decoding"}],"trust":{"provenance":{"is_fork":false,"github_id":728820625,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-19T18:30:26.267Z","maintenance":{"label":"Slowing","score":36,"methodology":"github_public_v1","releases_90d":0,"days_since_push":211,"last_release_at":null,"stars_delta_30d":57,"open_issues_delta_30d":0},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:43:13.772Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-19T18:30:27.308Z"},"languages":{"value":["python"],"source":"github.language","observed_at":"2026-09-19T18:30:27.308Z"},"license_spdx":{"value":"Other","source":"github.license","observed_at":"2026-09-19T18:30:27.308Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["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."],"when_not_to_use":["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."],"source":"enrich:decision_facts","observed_at":"2026-07-15T09:28:30.455Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"EAGLE offers official implementations for its series of large language models with emphasis on inference and speculative decoding."}]}}