{"adoption": {"forks": 103, "observed_at": "2026-08-28T04:04:53.105388+00:00", "stars": 1495}, "canonical_url": "https://ross.abutalabs.com/products/gemma-tuner-multimodal", "card": {"archived": false, "artifact_type": "library", "description": "Fine-tune Gemma 4 and 3n with audio, images and text on Apple Silicon, using PyTorch and Metal Performance Shaders.", "domain": ["machine-learning", "large-language-models", "deep-learning"], "enriched": true, "function": ["llm-training", "machine-learning", "deep-learning"], "health_score": 96, "homepage": null, "language": "Python", "license": "MIT", "license_family": "permissive", "maturity": "active", "member_repos": ["mattmireles/gemma-tuner-multimodal"], "name": "mattmireles/gemma-tuner-multimodal", "platform": ["python"], "pushed_at": "2026-08-13T07:17:49+00:00", "repo": "mattmireles/gemma-tuner-multimodal", "stars": 1495, "tags": ["lora", "fine-tuning", "apple-silicon", "mps", "multimodal", "gemma", "peft", "macos", "gpu"], "topics": [], "urls": [], "use_cases": ["fine-tune gemma on mac without nvidia gpu", "train multimodal lora on images and audio", "fine-tune gemma 3n on apple silicon", "stream training data from bigquery", "create custom vision question answering model", "audio captioning fine-tuning"], "what_it_is": "A Python tool for LoRA fine-tuning of Gemma 4 and 3n models on text, images, and audio using Apple Silicon's Metal Performance Shaders. It supports streaming training data from GCS/BigQuery and includes a real-time browser-based training visualizer.", "when_to_avoid": ["you need to fine-tune models other than Gemma", "you rely on CUDA-specific tooling like Unsloth or axolotl", "you need production-scale distributed multi-GPU training"], "when_to_choose": ["you have a Mac with Apple Silicon and no NVIDIA GPU", "you need multimodal (image/audio/text) LoRA fine-tuning of Gemma", "your training data lives in GCS or BigQuery and is too large for local disk"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/gemma-tuner-multimodal", "repo": "mattmireles/gemma-tuner-multimodal", "role": "main", "score": 62}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.105388+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T04:33:17.628828+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "31d0a456d6474c616e72e81b51c622704420c16f29a45df2d39e903e9358efd1", "fetched_at": "2026-08-28T04:04:53.105388+00:00", "kind": "readme", "missing": false, "url": "https://github.com/mattmireles/gemma-tuner-multimodal"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.105388+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T04:33:17.628828+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "31d0a456d6474c616e72e81b51c622704420c16f29a45df2d39e903e9358efd1", "fetched_at": "2026-08-28T04:04:53.105388+00:00", "kind": "readme", "missing": false, "url": "https://github.com/mattmireles/gemma-tuner-multimodal"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T04:33:17.628828+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "31d0a456d6474c616e72e81b51c622704420c16f29a45df2d39e903e9358efd1", "fetched_at": "2026-08-28T04:04:53.105388+00:00", "kind": "readme", "missing": false, "url": "https://github.com/mattmireles/gemma-tuner-multimodal"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.105388+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.105388+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.105388+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T04:33:17.628828+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "31d0a456d6474c616e72e81b51c622704420c16f29a45df2d39e903e9358efd1", "fetched_at": "2026-08-28T04:04:53.105388+00:00", "kind": "readme", "missing": false, "url": "https://github.com/mattmireles/gemma-tuner-multimodal"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.105388+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.105388+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T04:33:17.628828+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "31d0a456d6474c616e72e81b51c622704420c16f29a45df2d39e903e9358efd1", "fetched_at": "2026-08-28T04:04:53.105388+00:00", "kind": "readme", "missing": false, "url": "https://github.com/mattmireles/gemma-tuner-multimodal"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.105388+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.105388+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.105388+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T04:33:17.628828+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "31d0a456d6474c616e72e81b51c622704420c16f29a45df2d39e903e9358efd1", "fetched_at": "2026-08-28T04:04:53.105388+00:00", "kind": "readme", "missing": false, "url": "https://github.com/mattmireles/gemma-tuner-multimodal"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.105388+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.105388+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T04:33:17.628828+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "31d0a456d6474c616e72e81b51c622704420c16f29a45df2d39e903e9358efd1", "fetched_at": "2026-08-28T04:04:53.105388+00:00", "kind": "readme", "missing": false, "url": "https://github.com/mattmireles/gemma-tuner-multimodal"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T04:33:17.628828+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "31d0a456d6474c616e72e81b51c622704420c16f29a45df2d39e903e9358efd1", "fetched_at": "2026-08-28T04:04:53.105388+00:00", "kind": "readme", "missing": false, "url": "https://github.com/mattmireles/gemma-tuner-multimodal"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T04:33:17.628828+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "31d0a456d6474c616e72e81b51c622704420c16f29a45df2d39e903e9358efd1", "fetched_at": "2026-08-28T04:04:53.105388+00:00", "kind": "readme", "missing": false, "url": "https://github.com/mattmireles/gemma-tuner-multimodal"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T04:33:17.628828+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "31d0a456d6474c616e72e81b51c622704420c16f29a45df2d39e903e9358efd1", "fetched_at": "2026-08-28T04:04:53.105388+00:00", "kind": "readme", "missing": false, "url": "https://github.com/mattmireles/gemma-tuner-multimodal"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 97, "longevity": 10, "rhythm": 46}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": ["young"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 148, "days_push": 20, "days_rel": 147, "gap_med": null, "n_releases_24m": 1}, "score": 62, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}