{"adoption": {"forks": 161, "observed_at": "2026-08-28T04:03:19.413662+00:00", "stars": 1037}, "canonical_url": "https://ross.abutalabs.com/products/med-chatglm", "card": {"archived": false, "artifact_type": "learning-resource", "description": "Repo for Chinese Medical ChatGLM 基于中文医学知识的ChatGLM指令微调", "domain": ["large-language-models", "healthcare", "artificial-intelligence"], "enriched": true, "function": ["llm-training", "machine-learning", "rag", "chatbot"], "health_score": 20, "homepage": null, "language": "Python", "license": "Apache-2.0", "license_family": "permissive", "maturity": "maintenance", "member_repos": ["SCIR-HI/Med-ChatGLM"], "name": "SCIR-HI/Med-ChatGLM", "platform": ["python"], "pushed_at": "2023-05-19T09:17:15+00:00", "repo": "SCIR-HI/Med-ChatGLM", "stars": 1037, "tags": ["chatglm", "medical-qa", "chinese", "instruction-tuning", "fine-tuning", "llm", "natural-language-processing", "gpu", "linux"], "topics": ["chinese", "medical", "medqa", "nlp"], "urls": [], "use_cases": ["fine-tune ChatGLM on Chinese medical data", "build a Chinese medical QA chatbot", "generate instruction datasets from a medical knowledge graph", "improve LLM answers for medical questions in Chinese", "run inference with a medically tuned ChatGLM model"], "what_it_is": "An open-source project providing a Chinese medical instruction-tuned version of ChatGLM-6B, built from a medical knowledge graph and GPT-3.5-generated instruction data. It includes training scripts, dataset construction references, and downloadable fine-tuned model weights.", "when_to_avoid": ["you need a production-grade, clinically validated medical assistant", "you work primarily in English or other non-Chinese languages", "you cannot access large model weights or lack high-VRAM GPUs", "you want actively maintained fine-tuning code (the README recommends the official ChatGLM ptuning pipeline instead)"], "when_to_choose": ["you need a Chinese-language medical question-answering model based on ChatGLM-6B", "you want reference code and data formats for instruction-tuning ChatGLM on domain knowledge", "you have A100-class GPUs (32GB+ VRAM) for fine-tuning"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/med-chatglm", "repo": "SCIR-HI/Med-ChatGLM", "role": "main", "score": 30}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:03:19.413662+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T07:04:21.188924+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ace966d78ef5ebb58de43e862f8243f2150a46793a6d633d7d4635526a97e763", "fetched_at": "2026-08-28T04:03:19.413662+00:00", "kind": "readme", "missing": false, "url": "https://github.com/SCIR-HI/Med-ChatGLM"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:03:19.413662+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T07:04:21.188924+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ace966d78ef5ebb58de43e862f8243f2150a46793a6d633d7d4635526a97e763", "fetched_at": "2026-08-28T04:03:19.413662+00:00", "kind": "readme", "missing": false, "url": "https://github.com/SCIR-HI/Med-ChatGLM"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T07:04:21.188924+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ace966d78ef5ebb58de43e862f8243f2150a46793a6d633d7d4635526a97e763", "fetched_at": "2026-08-28T04:03:19.413662+00:00", "kind": "readme", "missing": false, "url": "https://github.com/SCIR-HI/Med-ChatGLM"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:03:19.413662+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:03:19.413662+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:03:19.413662+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T07:04:21.188924+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ace966d78ef5ebb58de43e862f8243f2150a46793a6d633d7d4635526a97e763", "fetched_at": "2026-08-28T04:03:19.413662+00:00", "kind": "readme", "missing": false, "url": "https://github.com/SCIR-HI/Med-ChatGLM"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:03:19.413662+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:03:19.413662+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T07:04:21.188924+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ace966d78ef5ebb58de43e862f8243f2150a46793a6d633d7d4635526a97e763", "fetched_at": "2026-08-28T04:03:19.413662+00:00", "kind": "readme", "missing": false, "url": "https://github.com/SCIR-HI/Med-ChatGLM"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:03:19.413662+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:03:19.413662+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:03:19.413662+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T07:04:21.188924+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ace966d78ef5ebb58de43e862f8243f2150a46793a6d633d7d4635526a97e763", "fetched_at": "2026-08-28T04:03:19.413662+00:00", "kind": "readme", "missing": false, "url": "https://github.com/SCIR-HI/Med-ChatGLM"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:03:19.413662+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:03:19.413662+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T07:04:21.188924+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ace966d78ef5ebb58de43e862f8243f2150a46793a6d633d7d4635526a97e763", "fetched_at": "2026-08-28T04:03:19.413662+00:00", "kind": "readme", "missing": false, "url": "https://github.com/SCIR-HI/Med-ChatGLM"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T07:04:21.188924+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ace966d78ef5ebb58de43e862f8243f2150a46793a6d633d7d4635526a97e763", "fetched_at": "2026-08-28T04:03:19.413662+00:00", "kind": "readme", "missing": false, "url": "https://github.com/SCIR-HI/Med-ChatGLM"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T07:04:21.188924+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ace966d78ef5ebb58de43e862f8243f2150a46793a6d633d7d4635526a97e763", "fetched_at": "2026-08-28T04:03:19.413662+00:00", "kind": "readme", "missing": false, "url": "https://github.com/SCIR-HI/Med-ChatGLM"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T07:04:21.188924+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ace966d78ef5ebb58de43e862f8243f2150a46793a6d633d7d4635526a97e763", "fetched_at": "2026-08-28T04:03:19.413662+00:00", "kind": "readme", "missing": false, "url": "https://github.com/SCIR-HI/Med-ChatGLM"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 89, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_releases"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 1251, "days_push": 1202, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 30, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}