{"adoption": {"forks": 296, "observed_at": "2026-08-28T04:06:57.494893+00:00", "stars": 2510}, "canonical_url": "https://ross.abutalabs.com/products/safeailab-eagle", "card": {"archived": false, "artifact_type": "library", "description": "Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3 (NeurIPS'25).", "domain": ["large-language-models", "machine-learning", "deep-learning", "performance"], "enriched": true, "function": ["llm-inference", "machine-learning", "gpu-computing"], "health_score": 61, "homepage": "https://arxiv.org/pdf/2503.01840", "language": "Python", "license": "NOASSERTION", "license_family": "other", "maturity": "active", "member_repos": ["SafeAILab/EAGLE"], "name": "SafeAILab/EAGLE", "platform": ["python"], "pushed_at": "2026-02-20T02:53:29+00:00", "repo": "SafeAILab/EAGLE", "stars": 2510, "tags": ["speculative-decoding", "llm-acceleration", "draft-model", "lossless-decoding", "inference-optimization", "gpu", "linux", "docker"], "topics": ["large-language-models", "llm-inference", "speculative-decoding"], "urls": [], "use_cases": ["speed up llm inference", "speculative decoding for large language models", "reduce llm generation latency", "faster text generation without quality loss", "accelerate autoregressive decoding", "deploy llms with lower inference cost"], "what_it_is": "EAGLE is the official implementation of the EAGLE family of speculative decoding algorithms (EAGLE-1/2/3) for accelerating LLM text generation. It uses a lightweight draft model that extrapolates the target LLM's feature vectors to draft tokens, achieving 2-4x lossless speedups over vanilla decoding.", "when_to_avoid": ["you need plug-and-play inference without training a draft model for your specific LLM", "your model architecture is not among the supported target models", "you only need small-model inference where decoding is not the bottleneck"], "when_to_choose": ["you need lossless LLM decoding speedups with provable output distribution consistency", "you want the fastest speculative decoding method and can train a draft model on modest GPUs", "you use supported models and want compatibility with vLLM, FlashAttention, or quantization"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/safeailab-eagle", "repo": "SafeAILab/EAGLE", "role": "main", "score": 57}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:06:57.494893+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T02:26:23.954381+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c2ceb2720eb12820422f5caaee070dbe4adb8a31ceef935295190909619237f2", "fetched_at": "2026-08-28T04:06:57.494893+00:00", "kind": "readme", "missing": false, "url": "https://github.com/SafeAILab/EAGLE"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:06:57.494893+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T02:26:23.954381+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c2ceb2720eb12820422f5caaee070dbe4adb8a31ceef935295190909619237f2", "fetched_at": "2026-08-28T04:06:57.494893+00:00", "kind": "readme", "missing": false, "url": "https://github.com/SafeAILab/EAGLE"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T02:26:23.954381+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c2ceb2720eb12820422f5caaee070dbe4adb8a31ceef935295190909619237f2", "fetched_at": "2026-08-28T04:06:57.494893+00:00", "kind": "readme", "missing": false, "url": "https://github.com/SafeAILab/EAGLE"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:06:57.494893+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:06:57.494893+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:06:57.494893+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T02:26:23.954381+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c2ceb2720eb12820422f5caaee070dbe4adb8a31ceef935295190909619237f2", "fetched_at": "2026-08-28T04:06:57.494893+00:00", "kind": "readme", "missing": false, "url": "https://github.com/SafeAILab/EAGLE"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:06:57.494893+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:06:57.494893+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T02:26:23.954381+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c2ceb2720eb12820422f5caaee070dbe4adb8a31ceef935295190909619237f2", "fetched_at": "2026-08-28T04:06:57.494893+00:00", "kind": "readme", "missing": false, "url": "https://github.com/SafeAILab/EAGLE"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:06:57.494893+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:06:57.494893+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:06:57.494893+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T02:26:23.954381+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c2ceb2720eb12820422f5caaee070dbe4adb8a31ceef935295190909619237f2", "fetched_at": "2026-08-28T04:06:57.494893+00:00", "kind": "readme", "missing": false, "url": "https://github.com/SafeAILab/EAGLE"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:06:57.494893+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:06:57.494893+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T02:26:23.954381+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c2ceb2720eb12820422f5caaee070dbe4adb8a31ceef935295190909619237f2", "fetched_at": "2026-08-28T04:06:57.494893+00:00", "kind": "readme", "missing": false, "url": "https://github.com/SafeAILab/EAGLE"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T02:26:23.954381+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c2ceb2720eb12820422f5caaee070dbe4adb8a31ceef935295190909619237f2", "fetched_at": "2026-08-28T04:06:57.494893+00:00", "kind": "readme", "missing": false, "url": "https://github.com/SafeAILab/EAGLE"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T02:26:23.954381+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c2ceb2720eb12820422f5caaee070dbe4adb8a31ceef935295190909619237f2", "fetched_at": "2026-08-28T04:06:57.494893+00:00", "kind": "readme", "missing": false, "url": "https://github.com/SafeAILab/EAGLE"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T02:26:23.954381+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c2ceb2720eb12820422f5caaee070dbe4adb8a31ceef935295190909619237f2", "fetched_at": "2026-08-28T04:06:57.494893+00:00", "kind": "readme", "missing": false, "url": "https://github.com/SafeAILab/EAGLE"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 68, "longevity": 71, "rhythm": 35}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": ["no_releases", "no_license"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 1000, "days_push": 194, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 57, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}