Role in this project:
ML Engineer Contributions:202 reviews, 50 PRs, 69 pushes in 1 year 10 months
Contributions summary:Henri primarily focused on integrating and optimizing code for NVIDIA CUDA and AMD ROCm GPU acceleration within the llama.cpp framework. Their contributions included significant modifications to the `ggml-cuda.cu` and `ggml-cuda.h` files, enabling non-contiguous tensor support and improving data transfer efficiency. They also worked on OpenCL kernel optimization, including fixes for new data formats and older devices. Additionally, the user added support for OpenLLaMA 3B model and increased scratch buffer sizes for it.