Aydyn Tairov shares his experience of developing llama2.ð¥ using Mojo, a new programming language that combines the simplicity of Python with the performance of C. This project was inspired by his desire to learn Mojo through practical application, using Llama2's matrix multiplication as a foundation. Tairov faced challenges such as the lack of file I/O support in Mojo, which he overcame with community assistance by making external libc calls. Debugging involved comparing outputs from his Python and Mojo implementations, leading to the discovery and correction of issues. His work resulted in a Mojo implementation that boasted a 60x speedup compared to Python and similar performance to C. The project gained significant attention on social media, drawing praise from industry figures and the Modular team, and accumulating over 1,100 stars on GitHub. This recognition has encouraged further developments, such as support for the TinyLlama model, marking the beginning of Tairov's continued exploration of Mojo's capabilities.