ggerganov/llama.cpp Released Build b11792 with GPU Optimization
Llama.cpp build b11792 has been released, introducing a specific optimization that keeps d2t data on the GPU by placing it directly by its set_rows use. This minor update improves memory handling efficiency during local LLM inference by reducing unnecessary data transfers between the CPU and GPU. It benefits developers and enthusiasts running models on hardware accelerators. The update corresponds to pull request #30912 and includes precompiled binaries and libraries for various platforms including macOS, Linux (with CUDA and Vulkan support), Android, and Windows.
## BACKGROUND
Llama.cpp is an open-source library co-developed with GGML that enables efficient local inference for large language models like Meta's Llama. It serves as a foundational engine for many popular local AI tools such as Ollama and LM Studio.