rulm implements and compares Russian language models, including fine-tuning capabilities and instruction dataset generation. The project includes RuTurboAlpaca, a dataset of Russian instructions generated using gpt-3.5-turbo following the Stanford Alpaca methodology. It provides Colab notebooks for fine-tuning LLMs and HuggingFace demos for model inference.