01fish-llm-radar
CommunityBenchmark OpenAI-compatible LLMs in 30 minutes.
Data & Analytics#benchmarking#reporting#model-evaluation#openai-compatible#provider-routing#llm-benchmark
AuthorOrangeViolin
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Benchmark OpenAI-compatible LLMs across seven objective tests to help teams compare models quickly and reproducibly.
Core Features & Use Cases
- One-shot benchmarking across GSM8K, MATH, MMLU, MMLU-Pro, C-Eval, IFEval, HumanEval for a broad capability snapshot.
- Multi-model horizontally comparative evaluation across providers (DeepSeek, OpenRouter, SiliconFlow, Volces, self-hosted endpoints).
- Transparent data provenance with per-sample results and aggregated summaries, plus deep analysis reports.
Quick Start
Install dependencies, configure API keys, and run a sample evaluation with a chosen model and benchmark.
Dependency Matrix
Required Modules
openaidatasetspython-dotenvtqdm
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: 01fish-llm-radar Download link: https://github.com/OrangeViolin/01fish-llm-radar/archive/main.zip#01fish-llm-radar Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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