metrillm-guide
OfficialMaster local LLM benchmarking with guide and best practices.
AuthorMetriLLM
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides comprehensive background information and guidance on using the MetriLLM benchmarking tool to evaluate local language models.
Core Features & Use Cases
- Guidance on Benchmarking: Explains when and how to use MetriLLM for model performance assessment.
- Operational Instructions: Offers step-by-step commands for listing models, running benchmarks, and sharing results.
- Use Case: A user wants to compare different local models on their hardware to determine the best fit; this guide instructs them on executing benchmarks and interpreting scores.
Quick Start
Ask the AI about how to perform model benchmarking or interpret MetriLLM results to get a quick explanation.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 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: metrillm-guide Download link: https://github.com/MetriLLM/metrillm/archive/main.zip#metrillm-guide Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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