qwopus27b-rl-training
qwopus27b-rl-training is a Fine-tuning & training data skill for AI agents, published by R6410418 in the Jackrong-llm-finetuning-guide repository on GitHub. Skillspace rates qwopus27b-rl-training B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Prepare, validate, launch-plan, monitor, resume, and stop configurable Qwopus 27B reinforcement-learning workflows for GRPO or GSPO. Use when Codex needs to turn an editable Goal template and user config into a safe local or SSH RL training plan without overstating dry-run results or relabeling SFT, GRPO, GSPO, or other algorithms.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 1,586
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded B with a clean safety verdict, but our quality filters exclude it: a model that read it found it written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
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
- Repo-internal: written for the repository it lives in. Depends on this repository's train_code scripts and templates
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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