diff --git a/backend/cpp/turboquant/Makefile b/backend/cpp/turboquant/Makefile
index cfc2593c0670..ac2de1e1520a 100644
--- a/backend/cpp/turboquant/Makefile
+++ b/backend/cpp/turboquant/Makefile
@@ -1,7 +1,7 @@
 
 # Pinned to the HEAD of feature/turboquant-kv-cache on https://github.com/TheTom/llama-cpp-turboquant.
 # Auto-bumped nightly by .github/workflows/bump_deps.yaml.
-TURBOQUANT_VERSION?=7d9715f1f071fa07c7b2ad3dbfd320b314139e65
+TURBOQUANT_VERSION?=c26cbdffcf6fc9b7430cd6b117757e9a3f70b7ea
 LLAMA_REPO?=https://github.com/TheTom/llama-cpp-turboquant
 
 CMAKE_ARGS?=
diff --git a/backend/cpp/turboquant/patches/0001-hip-guard-copy2d-peer-fastpath.patch b/backend/cpp/turboquant/patches/0001-hip-guard-copy2d-peer-fastpath.patch
index 71e55f621afb..28f0f5f5a9c4 100644
--- a/backend/cpp/turboquant/patches/0001-hip-guard-copy2d-peer-fastpath.patch
+++ b/backend/cpp/turboquant/patches/0001-hip-guard-copy2d-peer-fastpath.patch
@@ -1,50 +1,18 @@
 hip: port the turboquant CUDA additions that ggml's HIP shim doesn't cover
 
-The turboquant fork adds/modifies a few ggml-cuda.cu spots with CUDA APIs
-that ggml's HIP (and MUSA) compatibility layer does not provide, breaking
-the -gpu-rocm-hipblas-turboquant build:
+The turboquant fork creates backend events with plain cudaEventCreate,
+which ggml's HIP shim does not alias (it only aliases
+cudaEventCreateWithFlags). Use cudaEventCreateWithFlags(...,
+cudaEventDisableTiming), exactly as the rest of this file does.
 
-  1. ggml_cuda_copy2d_across_devices() (host-staged cross-device copy for
-     split mul_mat output) uses the CUDA 3D-peer copy APIs
-     cudaMemcpy3DPeerParms / make_cudaPitchedPtr / make_cudaExtent /
-     cudaMemcpy3DPeerAsync. HIP genuinely does not support these (see the
-     fork's own comment "HIP does not support cudaMemcpy3DPeerAsync"), so
-     guard the peer fast path with #if !defined(GGML_USE_HIP) &&
-     !defined(GGML_USE_MUSA) -- matching how the fork already guards the
-     same API for the sibling 2D copy -- and fall through to the existing
-     cudaMemcpyAsync staging fallback below (functionally identical,
-     slightly slower on multi-GPU ROCm).
-
-  2. ggml_backend_cuda_device_event_new() creates its event with plain
-     cudaEventCreate, which ggml's HIP shim does not alias (it only aliases
-     cudaEventCreateWithFlags). Use cudaEventCreateWithFlags(..., 
-     cudaEventDisableTiming) -- exactly what the rest of this file already
-     does (cf. lines ~1034, ~3461) and HIP-safe.
-
-CUDA builds are unaffected. Drop the relevant hunk once the fork HIP-ports
-these; apply-patches.sh fails fast if an anchor goes stale.
+CUDA builds are unaffected. Drop this patch once the fork HIP-ports the
+event creation; apply-patches.sh fails fast if the anchor goes stale.
 
 diff --git a/ggml/src/ggml-cuda/ggml-cuda.cu b/ggml/src/ggml-cuda/ggml-cuda.cu
-index 0427e6b..6352e6a 100644
+index 7d35c1a..2908acb 100644
 --- a/ggml/src/ggml-cuda/ggml-cuda.cu
 +++ b/ggml/src/ggml-cuda/ggml-cuda.cu
-@@ -1933,6 +1933,7 @@ static cudaError_t ggml_cuda_copy2d_across_devices(
-     size_t width, size_t height, cudaStream_t dst_stream, cudaStream_t src_stream) {
- 
-     const auto & info = ggml_cuda_info();
-+#if !defined(GGML_USE_HIP) && !defined(GGML_USE_MUSA)  // 3D-peer copy types unmapped by ggml's HIP/MUSA shim; use staging fallback below
-     if (info.peer_access[src_device][dst_device]) {
-         cudaMemcpy3DPeerParms p = {};
-         p.dstDevice = dst_device;
-@@ -1942,6 +1943,7 @@ static cudaError_t ggml_cuda_copy2d_across_devices(
-         p.extent = make_cudaExtent(width, height, 1);
-         return cudaMemcpy3DPeerAsync(&p, dst_stream);
-     }
-+#endif // !defined(GGML_USE_HIP) && !defined(GGML_USE_MUSA)
- 
-     // Fallback: stage all rows through a single contiguous pinned buffer
-     int prev_device = ggml_cuda_get_device();
-@@ -5714,7 +5716,7 @@ static ggml_backend_event_t ggml_backend_cuda_device_event_new(ggml_backend_dev_
+@@ -5795,7 +5795,7 @@ static ggml_backend_event_t ggml_backend_cuda_device_event_new(ggml_backend_dev_
      ggml_cuda_set_device(dev_ctx->device);
  
      cudaEvent_t event;