
Replicate has introduced fine-tuning for realistic voice cloning (RVC), allowing users to train models on their own datasets from YouTube videos using a simple code interface.
Read originalThe b10952 release of llama.cpp continues its trend of broadening platform compatibility, now supporting a wide array of systems including macOS, Linux, Windows, and openEuler. Notably, this update includes support for Vulkan and ROCm 10.0 on Ubuntu, as well as CUDA 12 and 13 on Windows, enhancing its utility for developers working across diverse hardware configurations. While KleidiAI support on macOS Apple Silicon is disabled, the release still marks a significant step in making llama.cpp a versatile tool for AI inference across different environments. This update doesn't introduce new models but solidifies llama.cpp's position as a flexible runtime option for developers beyond the NVIDIA ecosystem.
The b10964 release of llama.cpp marks a significant expansion in platform support, particularly for Windows and Ubuntu users. With the addition of CUDA 13.4 DLLs for Windows arm64 and Vulkan support for Ubuntu, this update broadens the accessibility of llama.cpp across diverse hardware configurations. Notably, the inclusion of ROCm 10.0 for both Windows and Ubuntu x64 platforms enhances the performance capabilities for AMD GPU users. This release doesn't introduce new models but focuses on making llama.cpp a more versatile and inclusive tool for developers across different systems.
Llama.cpp's latest update introduces Ubuntu-CUDA build jobs, expanding its compatibility with CUDA 12.8 and 13.3 on both x64 and arm64 architectures. This move enhances the project's versatility, particularly for developers working with CUDA on Ubuntu systems. The update also includes the addition of GCC 14 for CUDA arm64 builds, ensuring more robust support for modern development environments. By shipping dependent libraries on Ubuntu and addressing licensing issues with NCCL, llama.cpp continues to refine its infrastructure, making it more accessible and efficient for developers.