metrillm
OfficialFind the best local LLM for your hardware performance.
AuthorMetriLLM
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables users to evaluate the speed, quality, and RAM compatibility of local large language models (LLMs) on their hardware.
Core Features & Use Cases
- Performance Testing: Measure tokens per second, time to first token, and memory usage of specified local models.
- Quality Evaluation: Assess reasoning, math, coding, instruction following, and multilingual capabilities through benchmark prompts.
- Use Case: A developer wants to determine if a 6B model runs efficiently on their MacBook Air, then compare its performance and accuracy before deployment.
Quick Start
Run the metrillm bench --model your-model command to test your local LLM for speed and quality, then review the benchmarks directly.
Dependency Matrix
Required Modules
ollamalm-studionode
Components
scriptsreferences
💻 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 Download link: https://github.com/MetriLLM/metrillm/archive/main.zip#metrillm Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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