by aidatatools · AI 工具 · ★ 345
llm-benchmark (ollama-benchmark) LLM Benchmark for Throughput via Ollama (Local LLMs) Measure how fast your local LLMs really are—with a simple, cross-platform CLI tool that tells you the tokens-per-second truth. Installation prerequisites Working Ollama installation. To create a virtual environment via python3 -m venv To create a virtual environment via uv (For uv virtual environments (recommended for Python 3.13)) Installation Steps Depending on your python setup either or or uv Usage for general users directly Installation and Usage in Video format It's tested on Python 3.10 and above.
| Stars | 345 |
| Forks | 41 |
| Language | Python |
| Category | AI 工具 |
| License | MIT |
| Quality Score | 43.25/100 |
| Open Issues | 9 |
| Last Updated | 2026-01-17 |
| Created | 2024-01-18 |
| Platforms | python |
| Est. Tokens | ~719k |
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ollama-benchmark is LLM Benchmark for Throughput via Ollama (Local LLMs). It is categorized as a AI 工具 with 345 GitHub stars.
ollama-benchmark is primarily written in Python. It covers topics such as ai, ai-tools, benchmark.
You can find installation instructions and usage details in the ollama-benchmark GitHub repository at github.com/aidatatools/ollama-benchmark. The project has 345 stars and 41 forks, indicating an active community.
ollama-benchmark is released under the MIT license, making it free to use and modify according to the license terms.