porting-5-quants
porting-5-quants is a Physics, mathematics & simulation skill for AI agents, published by handy-computer in the transcribe.cpp repository on GitHub. Skillspace rates porting-5-quants D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Produces the shipped quant matrix from the reference-dtype GGUF, smoke-tests each, publishes the matrix to a private HF repo, and takes a tentative WER read (Modal or local) for human review. Use after porting-4-cpp has finalized tolerances and passed validate.py + the full ref-dtype WER gate. Input: models/<variant>/<variant>-<REFDTYPE>.gguf. Output: F16, Q8_0, Q6_K, Q5_K_M, Q4_K_M alongside the reference-dtype GGUF; a CLI smoke pass per file; quants pushed to a private HF repo; tentative per-quant WER. Authoritative quant WER is Stage 7. No tensor-level numerical comparison is required for quant acceptance — that is intentional.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 1,914
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.
Our review
- Architecture
- 93 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill 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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