llama.cpp b10020 fixes SYCL kernel bugs for quantized models

ggml-org released llama.cpp version b10020, a patch release focusing on SYCL backend fixes. The commit (d3fba0c, signed with GPG key B5690EEEBB952194) resolves get_rows kernel issues for the Q2_K, Q4_K, and Q5_K quantization schemes. These quantization types are widely used to run LLMs on consumer hardware with reduced memory footprint, so the fix directly impacts inference correctness on Intel GPUs and other SYCL-compatible accelerators. The release also includes minor UI asset updates and continues support for KleidiAI on Apple Silicon.

The release provides pre-built binaries for an extensive list of platforms: macOS (Apple Silicon and Intel, iOS), Linux (x64/arm64 CPU, Vulkan, ROCm 7.2, OpenVINO, SYCL FP32/FP16, s390x), Windows (x64/arm64 CPU, OpenCL Adreno, CUDA 12/13, Vulkan, OpenVINO, SYCL, HIP), Android (arm64 CPU), and openEuler (x86/aarch64 with ACL Graph). This breadth ensures that developers deploying local LLMs—whether on laptops, servers, or edge devices—can quickly update. For SYCL users, especially those leveraging Intel Arc or Data Center GPUs, this fix is critical to prevent silent corruption of model outputs during token generation.