{"adoption": {"forks": 45, "observed_at": "2026-08-28T04:06:58.629886+00:00", "stars": 2527}, "canonical_url": "https://ross.abutalabs.com/products/yayi", "card": {"archived": true, "artifact_type": "library", "description": "雅意大模型：为客户打造安全可靠的专属大模型，基于大规模中英文多领域指令数据训练的 LlaMA 2 & BLOOM 系列模型，由中科闻歌算法团队研发。(Repo for YaYi Chinese LLMs based on LlaMA2 & BLOOM)", "domain": ["large-language-models", "artificial-intelligence"], "enriched": true, "function": ["llm-inference", "machine-learning", "chatbot"], "health_score": 10, "homepage": "https://www.wenge.com/yayi/index.html", "language": "Python", "license": "Apache-2.0", "license_family": "permissive", "maturity": "maintenance", "member_repos": ["wenge-research/YAYI"], "name": "wenge-research/YAYI", "platform": ["python"], "pushed_at": "2024-01-17T07:37:16+00:00", "repo": "wenge-research/YAYI", "stars": 2527, "tags": ["chinese-llm", "llama2", "bloom", "instruction-tuning", "open-weights", "chat-model", "natural-language-processing", "gpu", "linux"], "topics": ["bloom", "chinese", "llama", "llama2", "llm", "yayi", "chat", "lora"], "urls": [], "use_cases": ["run a chinese chat llm locally", "deploy a chinese instruction-tuned llama2 model", "fine-tune or use a chinese domain llm for finance or public safety tasks", "chat with a bilingual chinese-english assistant model", "download yayi 7b 13b weights from huggingface"], "what_it_is": "YAYI is a family of open-source Chinese-optimized large language models (7B/13B) instruction-tuned from LLaMA 2 and BLOOM base models by Wenge Technology. The repo provides inference code, prompt formatting, and links to Hugging Face model weights for multi-domain Chinese NLP tasks.", "when_to_avoid": ["you need state-of-the-art general LLM performance from actively maintained models", "you require commercial model licensing freedom (model weights use a custom YAYI license and data is CC BY-NC)", "you need a managed API rather than self-hosted GPU inference"], "when_to_choose": ["you need a Chinese-focused open LLM based on LLaMA 2 or BLOOM", "you want self-hosted model weights with permissive Apache-2.0 code licensing", "your tasks span media, public opinion, finance, or public-safety domains"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/yayi", "repo": "wenge-research/YAYI", "role": "main", "score": 10}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:06:58.629886+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T02:25:25.304350+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "def12dc026f87c4962fb18e8c74213418ad4f8595f937de314013d02852c7227", "fetched_at": "2026-08-28T04:06:58.629886+00:00", "kind": "readme", "missing": false, "url": "https://github.com/wenge-research/YAYI"}, {"content_hash": "6ff07e06c4012d6b8480428d7014dd7e12a80cf511912e4aa4bc950fd2d5741b", "fetched_at": "2026-08-29T10:08:20.135869+00:00", "kind": "homepage", "missing": false, "url": "https://www.wenge.com/yayi/index.html"}, {"content_hash": "8ddbe9ae9d59e79e9113ef9b09703c02dc6516ef12fb75e59598e734a96cc590", "fetched_at": "2026-08-29T10:08:20.160097+00:00", "kind": "site_page", "missing": false, "url": "https://www.wenge.com/site/about"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:06:58.629886+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T02:25:25.304350+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "def12dc026f87c4962fb18e8c74213418ad4f8595f937de314013d02852c7227", "fetched_at": "2026-08-28T04:06:58.629886+00:00", "kind": "readme", "missing": false, "url": "https://github.com/wenge-research/YAYI"}, {"content_hash": "6ff07e06c4012d6b8480428d7014dd7e12a80cf511912e4aa4bc950fd2d5741b", "fetched_at": "2026-08-29T10:08:20.135869+00:00", "kind": "homepage", "missing": false, "url": "https://www.wenge.com/yayi/index.html"}, {"content_hash": "8ddbe9ae9d59e79e9113ef9b09703c02dc6516ef12fb75e59598e734a96cc590", "fetched_at": "2026-08-29T10:08:20.160097+00:00", "kind": "site_page", "missing": false, "url": "https://www.wenge.com/site/about"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T02:25:25.304350+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "def12dc026f87c4962fb18e8c74213418ad4f8595f937de314013d02852c7227", "fetched_at": "2026-08-28T04:06:58.629886+00:00", "kind": "readme", "missing": false, "url": "https://github.com/wenge-research/YAYI"}, {"content_hash": "6ff07e06c4012d6b8480428d7014dd7e12a80cf511912e4aa4bc950fd2d5741b", "fetched_at": "2026-08-29T10:08:20.135869+00:00", "kind": "homepage", "missing": false, "url": "https://www.wenge.com/yayi/index.html"}, {"content_hash": "8ddbe9ae9d59e79e9113ef9b09703c02dc6516ef12fb75e59598e734a96cc590", "fetched_at": "2026-08-29T10:08:20.160097+00:00", "kind": "site_page", "missing": false, "url": "https://www.wenge.com/site/about"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:06:58.629886+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:06:58.629886+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:06:58.629886+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T02:25:25.304350+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "def12dc026f87c4962fb18e8c74213418ad4f8595f937de314013d02852c7227", "fetched_at": "2026-08-28T04:06:58.629886+00:00", "kind": "readme", "missing": false, "url": "https://github.com/wenge-research/YAYI"}, {"content_hash": "6ff07e06c4012d6b8480428d7014dd7e12a80cf511912e4aa4bc950fd2d5741b", "fetched_at": "2026-08-29T10:08:20.135869+00:00", "kind": "homepage", "missing": false, "url": "https://www.wenge.com/yayi/index.html"}, {"content_hash": "8ddbe9ae9d59e79e9113ef9b09703c02dc6516ef12fb75e59598e734a96cc590", "fetched_at": "2026-08-29T10:08:20.160097+00:00", "kind": "site_page", "missing": false, "url": "https://www.wenge.com/site/about"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:06:58.629886+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:06:58.629886+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T02:25:25.304350+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "def12dc026f87c4962fb18e8c74213418ad4f8595f937de314013d02852c7227", "fetched_at": "2026-08-28T04:06:58.629886+00:00", "kind": "readme", "missing": false, "url": "https://github.com/wenge-research/YAYI"}, {"content_hash": "6ff07e06c4012d6b8480428d7014dd7e12a80cf511912e4aa4bc950fd2d5741b", "fetched_at": "2026-08-29T10:08:20.135869+00:00", "kind": "homepage", "missing": false, "url": "https://www.wenge.com/yayi/index.html"}, {"content_hash": "8ddbe9ae9d59e79e9113ef9b09703c02dc6516ef12fb75e59598e734a96cc590", "fetched_at": "2026-08-29T10:08:20.160097+00:00", "kind": "site_page", "missing": false, "url": "https://www.wenge.com/site/about"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:06:58.629886+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:06:58.629886+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:06:58.629886+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T02:25:25.304350+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "def12dc026f87c4962fb18e8c74213418ad4f8595f937de314013d02852c7227", "fetched_at": "2026-08-28T04:06:58.629886+00:00", "kind": "readme", "missing": false, "url": "https://github.com/wenge-research/YAYI"}, {"content_hash": "6ff07e06c4012d6b8480428d7014dd7e12a80cf511912e4aa4bc950fd2d5741b", "fetched_at": "2026-08-29T10:08:20.135869+00:00", "kind": "homepage", "missing": false, "url": "https://www.wenge.com/yayi/index.html"}, {"content_hash": "8ddbe9ae9d59e79e9113ef9b09703c02dc6516ef12fb75e59598e734a96cc590", "fetched_at": "2026-08-29T10:08:20.160097+00:00", "kind": "site_page", "missing": false, "url": "https://www.wenge.com/site/about"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:06:58.629886+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:06:58.629886+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T02:25:25.304350+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "def12dc026f87c4962fb18e8c74213418ad4f8595f937de314013d02852c7227", "fetched_at": "2026-08-28T04:06:58.629886+00:00", "kind": "readme", "missing": false, "url": "https://github.com/wenge-research/YAYI"}, {"content_hash": "6ff07e06c4012d6b8480428d7014dd7e12a80cf511912e4aa4bc950fd2d5741b", "fetched_at": "2026-08-29T10:08:20.135869+00:00", "kind": "homepage", "missing": false, "url": "https://www.wenge.com/yayi/index.html"}, {"content_hash": "8ddbe9ae9d59e79e9113ef9b09703c02dc6516ef12fb75e59598e734a96cc590", "fetched_at": "2026-08-29T10:08:20.160097+00:00", "kind": "site_page", "missing": false, "url": "https://www.wenge.com/site/about"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T02:25:25.304350+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "def12dc026f87c4962fb18e8c74213418ad4f8595f937de314013d02852c7227", "fetched_at": "2026-08-28T04:06:58.629886+00:00", "kind": "readme", "missing": false, "url": "https://github.com/wenge-research/YAYI"}, {"content_hash": "6ff07e06c4012d6b8480428d7014dd7e12a80cf511912e4aa4bc950fd2d5741b", "fetched_at": "2026-08-29T10:08:20.135869+00:00", "kind": "homepage", "missing": false, "url": "https://www.wenge.com/yayi/index.html"}, {"content_hash": "8ddbe9ae9d59e79e9113ef9b09703c02dc6516ef12fb75e59598e734a96cc590", "fetched_at": "2026-08-29T10:08:20.160097+00:00", "kind": "site_page", "missing": false, "url": "https://www.wenge.com/site/about"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T02:25:25.304350+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "def12dc026f87c4962fb18e8c74213418ad4f8595f937de314013d02852c7227", "fetched_at": "2026-08-28T04:06:58.629886+00:00", "kind": "readme", "missing": false, "url": "https://github.com/wenge-research/YAYI"}, {"content_hash": "6ff07e06c4012d6b8480428d7014dd7e12a80cf511912e4aa4bc950fd2d5741b", "fetched_at": "2026-08-29T10:08:20.135869+00:00", "kind": "homepage", "missing": false, "url": "https://www.wenge.com/yayi/index.html"}, {"content_hash": "8ddbe9ae9d59e79e9113ef9b09703c02dc6516ef12fb75e59598e734a96cc590", "fetched_at": "2026-08-29T10:08:20.160097+00:00", "kind": "site_page", "missing": false, "url": "https://www.wenge.com/site/about"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T02:25:25.304350+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "def12dc026f87c4962fb18e8c74213418ad4f8595f937de314013d02852c7227", "fetched_at": "2026-08-28T04:06:58.629886+00:00", "kind": "readme", "missing": false, "url": "https://github.com/wenge-research/YAYI"}, {"content_hash": "6ff07e06c4012d6b8480428d7014dd7e12a80cf511912e4aa4bc950fd2d5741b", "fetched_at": "2026-08-29T10:08:20.135869+00:00", "kind": "homepage", "missing": false, "url": "https://www.wenge.com/yayi/index.html"}, {"content_hash": "8ddbe9ae9d59e79e9113ef9b09703c02dc6516ef12fb75e59598e734a96cc590", "fetched_at": "2026-08-29T10:08:20.160097+00:00", "kind": "site_page", "missing": false, "url": "https://www.wenge.com/site/about"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 85, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_releases", "archived"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 1197, "days_push": 959, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 10, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}