Merge remote-tracking branch 'origin/upstream' into concedo_experimental

# Conflicts:
#	examples/save-load-state/save-load-state.cpp
#	ggml/CMakeLists.txt
#	ggml/src/ggml-cpu/CMakeLists.txt
#	ggml/src/ggml-hexagon/htp/hmx-matmul-ops.c
#	ggml/src/ggml-hexagon/htp/matmul-ops.c
#	ggml/src/ggml-opencl/CMakeLists.txt
#	ggml/src/ggml-opencl/ggml-opencl.cpp
#	ggml/src/ggml-opencl/kernels/gemm_noshuffle_q4_0_f32.cl
#	ggml/src/ggml-opencl/kernels/gemm_noshuffle_q8_0_f32.cl
#	ggml/src/ggml-opencl/kernels/gemv_noshuffle_q4_0_f32.cl
#	ggml/src/ggml-opencl/kernels/gemv_noshuffle_q4_0_f32_spec.cl
#	ggml/src/ggml-opencl/kernels/gemv_noshuffle_q8_0_f32.cl
#	ggml/src/ggml-rpc/ggml-rpc.cpp
#	scripts/sync-ggml.last
#	scripts/sync_vendor.py
#	src/llama-graph.cpp
#	tests/test-backend-ops.cpp
#	tests/test-state-restore-fragmented.cpp

src/llama-memory-recurrent.cpp

@@ -784,7 +784,7 @@ void llama_memory_recurrent::state_write_data(llama_io_write_i & io, const std::
     const uint32_t n_layer = hparams.n_layer;
 
     io.write(&s_trans, sizeof(s_trans));
-    io.write(&n_layer,   sizeof(n_layer));
+    io.write(&n_layer, sizeof(n_layer));
 
     // Iterate and write all the R tensors first, each row is a cell
     // Get whole range at a time