Show HN: Revibing nanochat's inference model in C++ with ggml (github.com)

A developer has introduced a new project called "nanochagg.ml," which revives nanochat's inference model by implementing it in C++. This work offers a drop-in replacement for nanochat's GPT and KVCache classes, providing a lightweight and experimental version that supports both CPU and GPU environments, specifically utilizing Metal for Apple users, while CUDA support is yet unclear. Importantly, the project allows for an automatic conversion from PyTorch to GGUF formats, though it currently only supports float32 precision. This development is significant for the AI/ML community as it demonstrates a practical application of optimizing AI models in C++, potentially resulting in performance benefits and enhanced compatibility with different hardware. Benchmarking on an M3 Max shows the throughput is about one-third compared to the original PyTorch version, spotlighting areas for improvement such as the absence of bf16 support. As an experimental framework, this project encourages further exploration and contributions within the AI realm, making it a noteworthy entry for developers interested in model efficiency and cross-platform capabilities.