8000 GitHub - lac-dcc/baku: Benchmark Automation with Knowledge-driven Utilization
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lac-dcc/baku

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Goals

The goal of this project is to train and fine-tune large language models to generate benchmarks to stress-test computing systems such as compilers, operating systems and memory allocation systems.

Installing & Setup

1. Clone Baku:

  git clone https://github.com/lac-dcc/baku.git

2. Run python requirements

On the root folder, run the command:

  pip install -r requirements.txt

3. Code & notebooks

You can run all the scripts normal envs. But, the notebooks have very heavy Deep-Learning models, because of this, the actual experiments are setup to run in colab and generate files only on drive (but the code generation is okay for any GPU env).

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