Merge commit '6effcecd0bf3cb2209999cecfa297ed4d8523b5a' into concedo_experimental

# Conflicts:
#	.github/workflows/build-msys.yml
#	.pi/gg/SYSTEM.md
#	common/CMakeLists.txt
#	examples/speculative-simple/speculative-simple.cpp
#	ggml/src/ggml-cpu/kleidiai/kleidiai.cpp
#	ggml/src/ggml-sycl/ggml-sycl.cpp
#	ggml/src/ggml-sycl/mmvq.cpp
#	scripts/ui-assets.cmake
#	src/llama-model.cpp
#	tools/cli/cli.cpp
#	tools/imatrix/imatrix.cpp
#	tools/quantize/quantize.cpp
#	tools/server/README.md
#	tools/ui/tests/stories/a11y/ChatScreenForm.a11y.stories.svelte

src/llama-model-loader.cpp

@@ -1051,10 +1051,10 @@ struct ggml_tensor * llama_model_loader::create_tensor(
         if (it == ctx_map.end()) {
             // one ggml context per buffer type
             int max_n_tensors = n_tensors;
-            max_n_tensors += 1;                 // duplicated output tensor
-            max_n_tensors += hparams.n_layer*2; // duplicated rope freq tensors
+            max_n_tensors += 1;                   // duplicated output tensor
+            max_n_tensors += hparams.n_layer()*2; // duplicated rope freq tensors
             if (files.empty()) {
-                max_n_tensors += hparams.n_layer*256; // this should be well above what any model actually uses
+                max_n_tensors += hparams.n_layer()*256; // this should be well above what any model actually uses
             }
             const size_t ctx_size = ggml_tensor_overhead()*max_n_tensors;