The article also provides instructions on how to use llm.🔥, including the necessary preparatory commands and the requirement of having Mojo version 24.4 installed. It also provides benchmark results for the project, showing average training loop times for various implementations. The development roadmap for the project includes enhancing the implementation, updating the Mojo port to align with llm.c changes, and developing reliable benchmarks. The article concludes with a changelog showing the project's progress and updates.
Key takeaways:
- The project llm.🔥 is a port of Andrej Karpathy's llm.c to Mojo, currently in beta and subject to changes.
- There are two versions of the project: a basic port and an enhanced version that utilizes Mojo's performance gems like vectorization and parallelization.
- To use the latest version of llm.🔥, users need to have Mojo 24.4 installed and run specific preparatory commands.
- The development roadmap includes implementation improvement, regular updates to align with llm.c changes, and development of reliable benchmarks.