edge-fm-benchmark-report
edge-fm-benchmark-report is an LLM evaluation & observability skill for AI agents, published by windog-labs in the edge-fm-x repository on GitHub. Skillspace rates edge-fm-benchmark-report C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Generate detailed benchmark reports inside this edge-fm repo, covering configurable Qwen2.5 LLM/VLM model matrices on CUDA. The default fair comparison remains Transformers vs EdgeFM(cuda-graph) vs TRT-Edge-LLM for LLM, while VLM currently uses Transformers vs EdgeFM(cuda-graph). Use when the user asks for benchmark指标、性能对比、详细报告、cuda-graph vs TRT-Edge-LLM analysis, VLM benchmark reports, or wants the existing tests/engine/test_qwen2_generate.py benchmark flow wrapped into a repeatable local workflow.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 30
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
- 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
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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