Model Releases
b11435
llama: fix k-pool scatter data race on shared sequences (#29994) llama: re-pool each shared k-pool rep once With shared cells every pool is re-pooled, and since the pooled keys are always scattered, t
llama: fix k-pool scatter data race on shared sequences (#29994) llama: re-pool each shared k-pool rep once With shared cells every pool is re-pooled, and since the pooled keys are always scattered, the pools a seq_cp shares between sequences wrote the same rep row from several scatter entries, a data race on the CPU backend. Mark each rep once: the sharing sequences read the same row through pool_cells. llama: assert whole-sequence seq_cp in the hybrid idx memory The recurrent state is always copied whole whatever the range, and a k-pool cell shared by a partial copy could carry two pool groupings with a single pooled row. Every caller copies whole sequences, so reject partial ranges instead of supporting them. llama: drop the k-pool cache_safe mode With whole-sequence seq_cp, sequences sharing cells share their pools too, so the pooled row of a shared rep is valid for all of them. Mark each rep once in every ubatch instead of re-pooling everything while cells are shared, which removes the sharing scan and the stale-all workarounds in seq_rm, state_read and state_drop. seq_cp now only stales the destination. Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/53070668 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (arm64, KleidiAI enabled) DISABLED macOS Intel (x64) iOS XCFramework Linux: Ubuntu x64 (CPU) Ubuntu arm64 (CPU) Ubuntu s390x (CPU) Ubuntu x64 (Vulkan) Ubuntu arm64 (Vulkan) Ubuntu x64 (CUDA 12) - CUDA 12.8 libraries Ubuntu x64 (CUDA 13) - CUDA 13.4 libraries Ubuntu arm64 (CUDA 13) - CUDA 13.4 libraries Ubuntu x64 (ROCm 10.0) Ubuntu x64 (OpenVINO) Ubuntu x64 (SYCL FP32) Ubuntu x64 (SYCL FP16) Linux arm64 (Snapdragon: CPU, Adreno GPU, Hexagon NPU) - setup guide Android: Android arm64 (CPU) Android arm64 (Snapdragon: CPU, Adreno GPU, Hexagon NPU) - setup guide Windows: Windows x64 (CPU) Windows arm64 (CPU) Windows arm64 (OpenCL Adreno) Windows x64 (CUDA 12) - CUDA 12.4 DLLs Windows x64 (CUDA 13) - CUDA 13.4 DLLs Windows arm64 (CUDA 13) - CUDA 13.4 DLLs Windows x64 (Vulkan) Windows arm64 (Vulkan) Windows x64 (OpenVINO) Windows x64 (SYCL) Windows x64 (ROCm 10.0) openEuler: DISABLED openEuler x86 (310p) openEuler x86 (910b, ACL Graph) openEuler aarch64 (310p) openEuler aarch64 (910b, ACL Graph) UI: UI
Source: llama.cpp Releases | 2026-10-06