benchmark-model
OfficialBenchmark AI model performance quickly.
Authortrymirai
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Benchmark AI model inference performance across configurations.
Core Features & Use Cases
- End-to-end benchmarking of model inference across engines, versions, and models.
- Outputs metrics such as memory_used, time_to_first_token, prompt_tokens_per_second, and generate_tokens_per_second for comparison.
- Use case: compare performance between models and configurations to guide optimization.
Quick Start
Run the benchmark for a chosen model folder and save the results to a file.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: benchmark-model Download link: https://github.com/trymirai/uzu/archive/main.zip#benchmark-model Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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