{"adoption": {"forks": 304, "observed_at": "2026-08-28T04:08:04.902610+00:00", "stars": 3435}, "canonical_url": "https://ross.abutalabs.com/products/guppylm", "card": {"archived": false, "artifact_type": "learning-resource", "description": "A ~9M parameter LLM that talks like a small fish.", "domain": ["large-language-models", "machine-learning", "deep-learning", "education", "tutorials"], "enriched": true, "function": ["llm-training", "llm-inference", "machine-learning", "deep-learning", "data-generation"], "health_score": 66, "homepage": null, "language": "Python", "license": null, "license_family": "other", "maturity": "active", "member_repos": ["arman-bd/guppylm"], "name": "arman-bd/guppylm", "platform": ["python", "browser"], "pushed_at": "2026-04-15T21:23:03+00:00", "repo": "arman-bd/guppylm", "stars": 3435, "tags": ["educational", "tiny-language-model", "from-scratch", "colab-notebook", "toy-model", "transformer", "beginner-friendly", "web", "gpu"], "topics": [], "urls": [], "use_cases": ["learn how to train your own language model from scratch", "understand the full LLM pipeline without a PhD or GPU cluster", "train a tiny transformer in a Colab notebook in minutes", "demo a small language model in the browser", "teach students how tokenizers, training loops, and inference work", "build a toy chatbot with a custom personality"], "what_it_is": "GuppyLM is a ~9M parameter language model trained from scratch to talk like a small fish, built as an educational project demonstrating the full LLM pipeline: data generation, tokenizer, architecture, training loop, and inference. It ships with Colab notebooks, a browser demo, and a Hugging Face model and dataset.", "when_to_avoid": ["you need a production-quality LLM for real tasks like writing or coding", "you require strong reasoning, long context, or general knowledge", "you need a model with an established license for commercial use"], "when_to_choose": ["you want a hands-on educational walkthrough of building an LLM end to end", "you need a tiny, fast model that runs on free Colab or in-browser via WebAssembly", "you're teaching or learning how language models actually work under the hood"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/guppylm", "repo": "arman-bd/guppylm", "role": "main", "score": 49}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:08:04.902610+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-29T18:37:42.481726+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0e73b79b371a93325dbebc884de67e0048e90f98193b9c4f0eb08aaec96e05a3", "fetched_at": "2026-08-28T04:08:04.902610+00:00", "kind": "readme", "missing": false, "url": "https://github.com/arman-bd/guppylm"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:08:04.902610+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-29T18:37:42.481726+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0e73b79b371a93325dbebc884de67e0048e90f98193b9c4f0eb08aaec96e05a3", "fetched_at": "2026-08-28T04:08:04.902610+00:00", "kind": "readme", "missing": false, "url": "https://github.com/arman-bd/guppylm"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-29T18:37:42.481726+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0e73b79b371a93325dbebc884de67e0048e90f98193b9c4f0eb08aaec96e05a3", "fetched_at": "2026-08-28T04:08:04.902610+00:00", "kind": "readme", "missing": false, "url": "https://github.com/arman-bd/guppylm"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:08:04.902610+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:08:04.902610+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:08:04.902610+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-29T18:37:42.481726+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0e73b79b371a93325dbebc884de67e0048e90f98193b9c4f0eb08aaec96e05a3", "fetched_at": "2026-08-28T04:08:04.902610+00:00", "kind": "readme", "missing": false, "url": "https://github.com/arman-bd/guppylm"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:08:04.902610+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:08:04.902610+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-29T18:37:42.481726+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0e73b79b371a93325dbebc884de67e0048e90f98193b9c4f0eb08aaec96e05a3", "fetched_at": "2026-08-28T04:08:04.902610+00:00", "kind": "readme", "missing": false, "url": "https://github.com/arman-bd/guppylm"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:08:04.902610+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:08:04.902610+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:08:04.902610+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-29T18:37:42.481726+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0e73b79b371a93325dbebc884de67e0048e90f98193b9c4f0eb08aaec96e05a3", "fetched_at": "2026-08-28T04:08:04.902610+00:00", "kind": "readme", "missing": false, "url": "https://github.com/arman-bd/guppylm"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:08:04.902610+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:08:04.902610+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-29T18:37:42.481726+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0e73b79b371a93325dbebc884de67e0048e90f98193b9c4f0eb08aaec96e05a3", "fetched_at": "2026-08-28T04:08:04.902610+00:00", "kind": "readme", "missing": false, "url": "https://github.com/arman-bd/guppylm"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-29T18:37:42.481726+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0e73b79b371a93325dbebc884de67e0048e90f98193b9c4f0eb08aaec96e05a3", "fetched_at": "2026-08-28T04:08:04.902610+00:00", "kind": "readme", "missing": false, "url": "https://github.com/arman-bd/guppylm"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-29T18:37:42.481726+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0e73b79b371a93325dbebc884de67e0048e90f98193b9c4f0eb08aaec96e05a3", "fetched_at": "2026-08-28T04:08:04.902610+00:00", "kind": "readme", "missing": false, "url": "https://github.com/arman-bd/guppylm"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-29T18:37:42.481726+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0e73b79b371a93325dbebc884de67e0048e90f98193b9c4f0eb08aaec96e05a3", "fetched_at": "2026-08-28T04:08:04.902610+00:00", "kind": "readme", "missing": false, "url": "https://github.com/arman-bd/guppylm"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 77, "longevity": 11, "rhythm": 35}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": ["no_releases", "young", "no_license"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 157, "days_push": 140, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 49, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}