github llama.cpp · 18h ago · inference

llama.cpp b10970 release uses fp32 accumulation on MFMA devices

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The llama.cpp project has released version b10970, which includes a technical update to the fattn-mma backend. This change implements the use of fp32 accumulators specifically for CDNA architecture devices.

The release provides binaries for macOS (Apple Silicon and Intel), Linux (Ubuntu x64/arm64/s390x), Windows, and Android.
GPU support includes CUDA 12/13, Vulkan, ROCm 10.0, OpenVINO, SYCL, and OpenCL Adreno across supported platforms.
A specific fix addresses precision by using fp32 accumulation on MFMA devices within the fattn-mma module.

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github llama.cpp · 1h ago · 1 view Live

llama.cpp b10984 adds CUDA row-contiguous SUM_ROWS support

The llama.cpp project released version b10984, introducing CUDA support for row-contiguous SUM_ROWS operations. This update also organizes the code to include GGML_OP_MEAN for handling row-contiguous tensors via a shared kernel.

github llama.cpp · 1h ago · 1 view Live

llama.cpp b10985 restricts RPC hash-cache to weights

The llama.cpp project released build b10985, which modifies the RPC backend to limit hash-based caching exclusively to weight tensors. This change addresses an issue where activation data was unnecessarily hashed and stored, leading to excessive disk usage.

github llama.cpp · 3h ago · 2 views

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github llama.cpp · 5h ago · 1 view

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github llama.cpp · 1d ago · 1 view

llama.cpp b10956 adds radix select for large k in SYCL top_k

The llama.cpp b10956 release introduces a radix select algorithm for the SYCL backend to handle large k values in the TOP_K operation, which previously fell back to CPU for k > 32. This change allows GPU-resident processing of large k by using histogram-based passes that keep shared local memory footprint independent of k.