msmodelslim-layer-wise-quantization

msmodelslim-layer-wise-quantization is a Local & open models skill for AI agents, published by kali20gakki in the msAgent repository on GitHub. Skillspace rates msmodelslim-layer-wise-quantization C (75/100) and it passed the safety scan; the rating is based on static analysis only.

为 msModelSlim 适配器实现逐层量化（按层加载/懒加载）能力。仅在用户明确要求逐层量化或基础适配因 CPU 内存不足无法全量加载权重时使用。该特性为高阶可选项，不是基础适配必需项。

Grade
C
Quality
75 / 100
Safety
Passed
GitHub stars
30

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubkali20gakki/msAgent

Our review

Architecture
89 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MulanPSL-2.0
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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