{"adoption": {"forks": 169, "observed_at": "2026-08-28T04:06:08.041442+00:00", "stars": 2036}, "canonical_url": "https://ross.abutalabs.com/products/awesome-efficient-llm", "card": {"archived": false, "artifact_type": "learning-resource", "description": "A curated list for Efficient Large Language Models", "domain": ["large-language-models", "machine-learning", "deep-learning", "awesome-lists", "tutorials"], "enriched": true, "function": ["llm-inference", "llm-training", "machine-learning", "documentation"], "health_score": 36, "homepage": null, "language": "Python", "license": null, "license_family": "other", "maturity": "active", "member_repos": ["horseee/Awesome-Efficient-LLM"], "name": "horseee/Awesome-Efficient-LLM", "platform": ["python", "cross-platform"], "pushed_at": "2025-06-17T02:35:25+00:00", "repo": "horseee/Awesome-Efficient-LLM", "stars": 2036, "tags": ["awesome-list", "model-compression", "quantization", "knowledge-distillation", "pruning", "kv-cache", "moe", "inference-acceleration", "curated-papers"], "topics": ["compression", "knowledge-distillation", "language-model", "llm", "model-quantization", "pruning-algorithms", "efficient-llm", "llm-compression"], "urls": [], "use_cases": ["find papers on LLM quantization", "research KV cache compression techniques", "survey efficient fine-tuning methods", "learn about pruning and sparsity for transformers", "find inference acceleration research", "keep up with efficient MoE architectures", "find surveys and benchmarks on efficient LLMs"], "what_it_is": "A curated awesome-list of research papers and resources on efficient large language models, covering pruning, quantization, knowledge distillation, KV cache compression, efficient MoE, and serving systems. It is organized into topic subdirectories with regularly updated recent papers and recommended reads.", "when_to_avoid": ["need runnable software or a library rather than a paper list", "need production tooling for model compression", "require a licensed or citable software artifact"], "when_to_choose": ["starting research on efficient LLM techniques", "looking for a broad, organized survey of model compression literature", "tracking recent papers in LLM efficiency"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/awesome-efficient-llm", "repo": "horseee/Awesome-Efficient-LLM", "role": "main", "score": 41}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:06:08.041442+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T02:59:19.693850+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c08bbfad40e71b2c14e54aa4b047b4af9acc86abed500545abed649b786a094d", "fetched_at": "2026-08-28T04:06:08.041442+00:00", "kind": "readme", "missing": false, "url": "https://github.com/horseee/Awesome-Efficient-LLM"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:06:08.041442+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T02:59:19.693850+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c08bbfad40e71b2c14e54aa4b047b4af9acc86abed500545abed649b786a094d", "fetched_at": "2026-08-28T04:06:08.041442+00:00", "kind": "readme", "missing": false, "url": "https://github.com/horseee/Awesome-Efficient-LLM"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T02:59:19.693850+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c08bbfad40e71b2c14e54aa4b047b4af9acc86abed500545abed649b786a094d", "fetched_at": "2026-08-28T04:06:08.041442+00:00", "kind": "readme", "missing": false, "url": "https://github.com/horseee/Awesome-Efficient-LLM"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:06:08.041442+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:06:08.041442+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:06:08.041442+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T02:59:19.693850+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c08bbfad40e71b2c14e54aa4b047b4af9acc86abed500545abed649b786a094d", "fetched_at": "2026-08-28T04:06:08.041442+00:00", "kind": "readme", "missing": false, "url": "https://github.com/horseee/Awesome-Efficient-LLM"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:06:08.041442+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:06:08.041442+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T02:59:19.693850+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c08bbfad40e71b2c14e54aa4b047b4af9acc86abed500545abed649b786a094d", "fetched_at": "2026-08-28T04:06:08.041442+00:00", "kind": "readme", "missing": false, "url": "https://github.com/horseee/Awesome-Efficient-LLM"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:06:08.041442+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:06:08.041442+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:06:08.041442+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T02:59:19.693850+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c08bbfad40e71b2c14e54aa4b047b4af9acc86abed500545abed649b786a094d", "fetched_at": "2026-08-28T04:06:08.041442+00:00", "kind": "readme", "missing": false, "url": "https://github.com/horseee/Awesome-Efficient-LLM"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:06:08.041442+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:06:08.041442+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T02:59:19.693850+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c08bbfad40e71b2c14e54aa4b047b4af9acc86abed500545abed649b786a094d", "fetched_at": "2026-08-28T04:06:08.041442+00:00", "kind": "readme", "missing": false, "url": "https://github.com/horseee/Awesome-Efficient-LLM"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T02:59:19.693850+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c08bbfad40e71b2c14e54aa4b047b4af9acc86abed500545abed649b786a094d", "fetched_at": "2026-08-28T04:06:08.041442+00:00", "kind": "readme", "missing": false, "url": "https://github.com/horseee/Awesome-Efficient-LLM"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T02:59:19.693850+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c08bbfad40e71b2c14e54aa4b047b4af9acc86abed500545abed649b786a094d", "fetched_at": "2026-08-28T04:06:08.041442+00:00", "kind": "readme", "missing": false, "url": "https://github.com/horseee/Awesome-Efficient-LLM"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T02:59:19.693850+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "c08bbfad40e71b2c14e54aa4b047b4af9acc86abed500545abed649b786a094d", "fetched_at": "2026-08-28T04:06:08.041442+00:00", "kind": "readme", "missing": false, "url": "https://github.com/horseee/Awesome-Efficient-LLM"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 27, "longevity": 85, "rhythm": 35}, "computed_at": "2026-09-03T02:39:23.370411+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": 1199, "days_push": 443, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 41, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}