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OllamaBench
A local LLM benchmarking platform for evaluating and comparing models running through Ollama.
It automatically measures:
Performance and response latency
Quality across reasoning, coding, creative writing, and factual tasks
CPU, GPU, and memory usage
Multi-model performance comparisons
Exportable benchmark reports
Everything runs locally with no cloud dependency, keeping benchmark data private.
Built with React, TypeScript, FastAPI, Python, SQLite, and Ollama.
I built this to answer a practical question:
Which local LLM performs best for a specific workload and hardware setup?
GitHub: https://github.com/Fortuner47/OllamaBench
Would love feedback on the benchmarking methodology and what metrics or evaluation methods I should add next.
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