quark-torch-quant-plan
quark-torch-quant-plan is a Local & open models skill for AI agents, published by amd in the Quark repository on GitHub. Skillspace rates quark-torch-quant-plan F (54/100) and it passed the safety scan; the rating is based on static analysis only.
Build a Quark Torch LLM PTQ quantization plan from model analysis and user intent. Use when the user needs quantization scheme recommendations, exclusion lists, algorithm selection, KV cache decisions, per-layer overrides, or a draft quant_plan. Trigger for "quantize with FP8", "what scheme should I use", "plan PTQ", "INT4 quantization", "choose quantization config", "quantization plan", or when the user has a model analysis and needs to decide how to quantize it.
- Grade
- F
- Quality
- 54 / 100
- Safety
- Passed
- GitHub stars
- 148
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
- 82 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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