llm-evaluation-troubleshooting
CommunityEffortless Troubleshooting for LLM Benchmarking Tools
Software Engineering#troubleshooting#dependency management#python#benchmarking#llm-evaluation-harness
AuthorToqsick
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill simplifies the troubleshooting of common issues encountered while setting up and using LLM benchmarking tools like lm-evaluation-harness.
Core Features & Use Cases
- Python Compatibility Fixes: Provides patches for Python 3.12 compatibility issues with lm-evaluation-harness.
- Dependency Chain Management: Detailed instructions for installing essential dependencies for HF models.
- Local Model Integration Guidance: Walks through issues and solutions for integrating local models with lm-evaluation-harness.
- Common Error Fixes: Offers troubleshooting steps for common errors like missing dependencies or tokenizer issues.
Quick Start
Use the 'llm-evaluation-troubleshooting' skill to resolve issues with Python 3.12 compatibility for the lm-evaluation-harness.
Dependency Matrix
Required Modules
pythontransformerstorchtenacityacceleratedatasetsevaluate
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: llm-evaluation-troubleshooting Download link: https://github.com/Toqsick/MaxClaw/archive/main.zip#llm-evaluation-troubleshooting Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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