minicpm5-finetune-unsloth
minicpm5-finetune-unsloth is a Fine-tuning & training data skill for AI agents, published by OpenBMB in the MiniCPM repository on GitHub. Skillspace rates minicpm5-finetune-unsloth D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Fine-tune MiniCPM5-1B with unsloth for tight-VRAM single-GPU LoRA / QLoRA. Use when the user wants "unsloth", "FastLanguageModel", QLoRA on a 24 GB consumer GPU, or asks for the smallest VRAM footprint.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 9,858
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
- 99 / 100
- Maturity
- Basic: a single SKILL.md
- 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 the public MiniCPM5 model with 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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