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df86e8d6d4
The TheTom/llama-cpp-turboquant fork is not ROCm-clean at the current pin: beyond the CUDA-API gaps already patched (3D-peer copy, cudaEventCreate), its llama.cpp base fails to compile the flash-attention MMA f16 kernels for head-dim 640 under HIP (cols_per_warp evaluates to 0 -> division-by-zero / non-constant static asserts in fattn-mma-f16.cuh). That is a deep ggml-on-ROCm kernel issue, not something a small fork patch can paper over. Drop -gpu-rocm-hipblas-turboquant from the build matrix so turboquant still ships for cpu / cublas / vulkan / sycl. Re-add it once the fork's HIP path compiles (or upstream ggml fixes the large-head-dim MMA kernels for ROCm). Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-4-8 [Claude Code]