ggerganov/llama.cpp Released b12027 with Tensor Split for LFM3
The llama.cpp project has released version b12027, which introduces tensor split support for LFM3. This update was implemented with assistance from Claude Opus 5.5. Adding tensor split support allows large language models like LFM3 to distribute their computational workload efficiently across multiple processing units or GPUs. This capability is essential for running larger models that exceed the VRAM capacity of a single graphics card. The release includes precompiled binaries and packages across various platforms such as macOS, Linux, Android, and Windows, supporting backends like CPU, CUDA, Vulkan, and OpenVINO. It specifically resolves pull request #31431 to enable this functionality.
## BACKGROUND
llama.cpp is a popular open-source software library designed to perform efficient inference on large language models using C and C++. Tensor split is a feature used in multi-GPU setups to divide model layers or tensors across available devices.