{"adoption": {"forks": 268, "observed_at": "2026-08-28T04:05:18.981854+00:00", "stars": 1665}, "canonical_url": "https://ross.abutalabs.com/products/jackrong-llm-finetuning-guide", "card": {"archived": false, "artifact_type": "learning-resource", "description": null, "domain": ["large-language-models", "machine-learning", "tutorials"], "enriched": true, "function": ["llm-training", "rag", "data-generation", "documentation"], "health_score": 75, "homepage": "https://r6410418.github.io/Jackrong-llm-finetuning-guide/", "language": "Jupyter Notebook", "license": "Apache-2.0", "license_family": "permissive", "maturity": "active", "member_repos": ["R6410418/Jackrong-llm-finetuning-guide"], "name": "R6410418/Jackrong-llm-finetuning-guide", "platform": ["python", "cloud"], "pushed_at": "2026-07-11T05:10:47+00:00", "repo": "R6410418/Jackrong-llm-finetuning-guide", "stars": 1665, "tags": ["fine-tuning", "lora", "peft", "unsloth", "gguf", "grpo", "gspo", "sft", "dataset-distillation", "qwen", "llama3", "deepseek", "colab-notebooks", "beginner-friendly", "natural-language-processing", "gpu"], "topics": ["dataset", "deepseek", "fine-tuning", "guide", "llama3", "llm", "machine-learning", "nlp", "openai", "pytorch", "qwen", "unsloth"], "urls": [], "use_cases": ["learn how to fine-tune an llm with lora", "prepare and distill training data for sft", "run grpo or gspo reinforcement learning training", "convert a qwen model to gguf for local inference", "find curated reasoning and coding datasets", "fine-tune a model in google colab for free", "export a fine-tuned model to 16-bit or gguf"], "what_it_is": "An open-source educational knowledge base covering LLM fine-tuning, dataset distillation, reinforcement learning workflows (SFT, GRPO, GSPO), and local GGUF deployment. It includes training recipe catalogs, data-processing scripts, curated dataset lists, and multi-language beginner guides built around PyTorch, Unsloth, and Hugging Face.", "when_to_avoid": ["you need a production training framework rather than educational material", "you require guaranteed up-to-date coverage of the latest model architectures", "you want a maintained software library with an API instead of notebooks and guides"], "when_to_choose": ["you are a beginner wanting reproducible, end-to-end fine-tuning tutorials", "you want ready-made training scripts for Qwen, Llama, or DeepSeek models", "you need guidance on data preparation, distillation, and RL post-training", "you want to deploy fine-tuned models locally via GGUF"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/jackrong-llm-finetuning-guide", "repo": "R6410418/Jackrong-llm-finetuning-guide", "role": "main", "score": 56}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:05:18.981854+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T03:43:00.984919+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "130a0e94bd5345adf44c31cf28deaf29f854497b2320166b072aa44aeaa9756a", "fetched_at": "2026-08-28T04:05:18.981854+00:00", "kind": "readme", "missing": false, "url": "https://github.com/R6410418/Jackrong-llm-finetuning-guide"}, {"content_hash": "39d0997cc89fd40abe54d70b6100e9224bc559edadc77e330db0d7c685640ac4", "fetched_at": "2026-08-29T11:16:27.509308+00:00", "kind": "homepage", "missing": false, "url": "https://r6410418.github.io/Jackrong-llm-finetuning-guide/"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:05:18.981854+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T03:43:00.984919+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "130a0e94bd5345adf44c31cf28deaf29f854497b2320166b072aa44aeaa9756a", "fetched_at": "2026-08-28T04:05:18.981854+00:00", "kind": "readme", "missing": false, "url": "https://github.com/R6410418/Jackrong-llm-finetuning-guide"}, {"content_hash": "39d0997cc89fd40abe54d70b6100e9224bc559edadc77e330db0d7c685640ac4", "fetched_at": "2026-08-29T11:16:27.509308+00:00", "kind": "homepage", "missing": false, "url": "https://r6410418.github.io/Jackrong-llm-finetuning-guide/"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T03:43:00.984919+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "130a0e94bd5345adf44c31cf28deaf29f854497b2320166b072aa44aeaa9756a", "fetched_at": "2026-08-28T04:05:18.981854+00:00", "kind": "readme", "missing": false, "url": "https://github.com/R6410418/Jackrong-llm-finetuning-guide"}, {"content_hash": "39d0997cc89fd40abe54d70b6100e9224bc559edadc77e330db0d7c685640ac4", "fetched_at": "2026-08-29T11:16:27.509308+00:00", "kind": "homepage", "missing": false, "url": "https://r6410418.github.io/Jackrong-llm-finetuning-guide/"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:05:18.981854+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:05:18.981854+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:05:18.981854+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T03:43:00.984919+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "130a0e94bd5345adf44c31cf28deaf29f854497b2320166b072aa44aeaa9756a", "fetched_at": "2026-08-28T04:05:18.981854+00:00", "kind": "readme", "missing": false, "url": "https://github.com/R6410418/Jackrong-llm-finetuning-guide"}, {"content_hash": "39d0997cc89fd40abe54d70b6100e9224bc559edadc77e330db0d7c685640ac4", "fetched_at": "2026-08-29T11:16:27.509308+00:00", "kind": "homepage", "missing": false, "url": "https://r6410418.github.io/Jackrong-llm-finetuning-guide/"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:05:18.981854+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:05:18.981854+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T03:43:00.984919+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "130a0e94bd5345adf44c31cf28deaf29f854497b2320166b072aa44aeaa9756a", "fetched_at": "2026-08-28T04:05:18.981854+00:00", "kind": "readme", "missing": false, "url": "https://github.com/R6410418/Jackrong-llm-finetuning-guide"}, {"content_hash": "39d0997cc89fd40abe54d70b6100e9224bc559edadc77e330db0d7c685640ac4", "fetched_at": "2026-08-29T11:16:27.509308+00:00", "kind": "homepage", "missing": false, "url": "https://r6410418.github.io/Jackrong-llm-finetuning-guide/"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:05:18.981854+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:05:18.981854+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:05:18.981854+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T03:43:00.984919+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "130a0e94bd5345adf44c31cf28deaf29f854497b2320166b072aa44aeaa9756a", "fetched_at": "2026-08-28T04:05:18.981854+00:00", "kind": "readme", "missing": false, "url": "https://github.com/R6410418/Jackrong-llm-finetuning-guide"}, {"content_hash": "39d0997cc89fd40abe54d70b6100e9224bc559edadc77e330db0d7c685640ac4", "fetched_at": "2026-08-29T11:16:27.509308+00:00", "kind": "homepage", "missing": false, "url": "https://r6410418.github.io/Jackrong-llm-finetuning-guide/"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:05:18.981854+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:05:18.981854+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T03:43:00.984919+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "130a0e94bd5345adf44c31cf28deaf29f854497b2320166b072aa44aeaa9756a", "fetched_at": "2026-08-28T04:05:18.981854+00:00", "kind": "readme", "missing": false, "url": "https://github.com/R6410418/Jackrong-llm-finetuning-guide"}, {"content_hash": "39d0997cc89fd40abe54d70b6100e9224bc559edadc77e330db0d7c685640ac4", "fetched_at": "2026-08-29T11:16:27.509308+00:00", "kind": "homepage", "missing": false, "url": "https://r6410418.github.io/Jackrong-llm-finetuning-guide/"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T03:43:00.984919+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "130a0e94bd5345adf44c31cf28deaf29f854497b2320166b072aa44aeaa9756a", "fetched_at": "2026-08-28T04:05:18.981854+00:00", "kind": "readme", "missing": false, "url": "https://github.com/R6410418/Jackrong-llm-finetuning-guide"}, {"content_hash": "39d0997cc89fd40abe54d70b6100e9224bc559edadc77e330db0d7c685640ac4", "fetched_at": "2026-08-29T11:16:27.509308+00:00", "kind": "homepage", "missing": false, "url": "https://r6410418.github.io/Jackrong-llm-finetuning-guide/"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T03:43:00.984919+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "130a0e94bd5345adf44c31cf28deaf29f854497b2320166b072aa44aeaa9756a", "fetched_at": "2026-08-28T04:05:18.981854+00:00", "kind": "readme", "missing": false, "url": "https://github.com/R6410418/Jackrong-llm-finetuning-guide"}, {"content_hash": "39d0997cc89fd40abe54d70b6100e9224bc559edadc77e330db0d7c685640ac4", "fetched_at": "2026-08-29T11:16:27.509308+00:00", "kind": "homepage", "missing": false, "url": "https://r6410418.github.io/Jackrong-llm-finetuning-guide/"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T03:43:00.984919+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "130a0e94bd5345adf44c31cf28deaf29f854497b2320166b072aa44aeaa9756a", "fetched_at": "2026-08-28T04:05:18.981854+00:00", "kind": "readme", "missing": false, "url": "https://github.com/R6410418/Jackrong-llm-finetuning-guide"}, {"content_hash": "39d0997cc89fd40abe54d70b6100e9224bc559edadc77e330db0d7c685640ac4", "fetched_at": "2026-08-29T11:16:27.509308+00:00", "kind": "homepage", "missing": false, "url": "https://r6410418.github.io/Jackrong-llm-finetuning-guide/"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 92, "longevity": 10, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_releases", "young"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 150, "days_push": 53, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 56, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}