gemma-trainer
gemma-trainer is a Fine-tuning & training data skill for AI agents, published by google-gemma in the gemma-skills repository on GitHub. Skillspace rates gemma-trainer C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Trigger this skill when the user wants to train, fine-tune, or adapt Gemma models (e.g. SFT, DPO, RLHF, Reward Modeling) on local hardware. Covers TRL, Unsloth, dataset preparation, validation, and GGUF/LiteRT conversion.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 857
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Fine-tuning public Gemma models with TRL and Unsloth
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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