Merge branch 'upstream' into concedo_experimental

# Conflicts:
#	.devops/openvino.Dockerfile
#	.github/workflows/build-cache.yml
#	.github/workflows/build-openvino.yml
#	.github/workflows/build-self-hosted.yml
#	.github/workflows/release.yml
#	ci/run.sh
#	docs/backend/OPENVINO.md
#	docs/speculative.md
#	ggml/src/ggml-hexagon/ggml-hexagon.cpp
#	ggml/src/ggml-hexagon/htp/htp-ops.h
#	ggml/src/ggml-hexagon/htp/hvx-arith.h
#	ggml/src/ggml-hexagon/htp/hvx-log.h
#	ggml/src/ggml-hexagon/htp/main.c
#	ggml/src/ggml-hexagon/htp/unary-ops.c
#	ggml/src/ggml-hexagon/htp/unary-ops.h
#	ggml/src/ggml-opencl/ggml-opencl.cpp
#	ggml/src/ggml-openvino/CMakeLists.txt
#	ggml/src/ggml-openvino/ggml-decoder.cpp
#	ggml/src/ggml-openvino/ggml-decoder.h
#	ggml/src/ggml-openvino/ggml-openvino-extra.cpp
#	ggml/src/ggml-openvino/ggml-openvino.cpp
#	ggml/src/ggml-openvino/openvino/op/cpy.cpp
#	ggml/src/ggml-openvino/openvino/op/flash_attn_ext.cpp
#	ggml/src/ggml-openvino/openvino/op/gated_delta_net.cpp
#	ggml/src/ggml-openvino/openvino/op/view.cpp
#	ggml/src/ggml-openvino/openvino/op_table.cpp
#	ggml/src/ggml-openvino/openvino/op_table.h
#	ggml/src/ggml-openvino/openvino/translate_session.cpp
#	ggml/src/ggml-openvino/openvino/utils.cpp
#	ggml/src/ggml-openvino/utils.cpp
#	ggml/src/ggml-openvino/utils.h
#	ggml/src/ggml-sycl/fattn-onednn.cpp
#	ggml/src/ggml-sycl/fattn.cpp
#	scripts/pr2wt.sh
#	src/CMakeLists.txt
#	src/llama-mmap.cpp
#	src/llama-quant.cpp
#	tests/CMakeLists.txt
#	tests/test-arg-parser.cpp
#	tests/test-backend-ops.cpp
#	tests/test-llama-archs.cpp
#	tests/test-save-load-state.cpp
#	tools/cli/README.md
#	tools/completion/README.md
#	tools/server/README.md

include/llama.h

@@ -217,6 +217,12 @@ extern "C" {
     LLAMA_API const char * llama_load_mode_name(enum llama_load_mode load_mode);
     LLAMA_API enum llama_load_mode llama_load_mode_from_str(const char * str);
 
+    enum llama_tensor_read_lazy {
+        LLAMA_TENSOR_READ_LAZY_OFF  = 0, // always read the whole tensor up front
+        LLAMA_TENSOR_READ_LAZY_AUTO = 1, // lazy only for marked tensors larger than 4 GiB (requires mmap)
+        LLAMA_TENSOR_READ_LAZY_ON   = 2, // read the rows of tensors marked by the arch on demand (requires mmap)
+    };
+
     enum llama_context_type {
         LLAMA_CONTEXT_TYPE_DEFAULT = 0,
         LLAMA_CONTEXT_TYPE_MTP     = 1,
@@ -318,6 +324,8 @@ extern "C" {
         enum llama_split_mode split_mode; // how to split the model across multiple GPUs
         enum llama_load_mode  load_mode;  // how to load the model
 
+        enum llama_tensor_read_lazy tensor_read_lazy; // on-demand reading of tensors marked by the arch
+
         // the GPU that is used for the entire model when split_mode is LLAMA_SPLIT_MODE_NONE
         int32_t main_gpu;
 
@@ -440,6 +448,7 @@ extern "C" {
         const struct llama_model_kv_override * kv_overrides;        // pointer to kv overrides
         const struct llama_model_tensor_override * tt_overrides;    // pointer to tensor overrides
         const int32_t * prune_layers;                               // pointer to layer indices to prune
+        size_t max_buf_size;                                        // max bytes of tensor rows kept in memory at once, 0 = default (8 GiB)
     } llama_model_quantize_params;
 
     typedef struct llama_logit_bias {