Merge branch 'upstream' into concedo_experimental

# Conflicts:
#	.github/workflows/build.yml
#	.github/workflows/release.yml
#	.gitignore
#	examples/batched/batched.cpp
#	examples/debug/debug.cpp
#	examples/eval-callback/eval-callback.cpp
#	examples/idle/idle.cpp
#	examples/lookahead/lookahead.cpp
#	examples/lookup/lookup-create.cpp
#	examples/lookup/lookup-stats.cpp
#	examples/lookup/lookup.cpp
#	examples/parallel/parallel.cpp
#	examples/passkey/passkey.cpp
#	examples/retrieval/retrieval.cpp
#	examples/save-load-state/save-load-state.cpp
#	examples/speculative-simple/speculative-simple.cpp
#	examples/speculative/speculative.cpp
#	examples/training/finetune.cpp
#	ggml/CMakeLists.txt
#	ggml/src/ggml-cann/aclnn_ops.cpp
#	ggml/src/ggml-cann/common.h
#	ggml/src/ggml-cann/ggml-cann.cpp
#	ggml/src/ggml-sycl/fattn-tile.hpp
#	ggml/src/ggml-webgpu/ggml-webgpu-shader-lib.hpp
#	ggml/src/ggml-webgpu/ggml-webgpu.cpp
#	ggml/src/ggml-webgpu/wgsl-shaders/cpy.wgsl
#	ggml/src/ggml-webgpu/wgsl-shaders/embed_wgsl.py
#	ggml/src/ggml-webgpu/wgsl-shaders/rope.wgsl
#	ggml/src/ggml-webgpu/wgsl-shaders/soft_max.wgsl
#	scripts/sync-ggml.last
#	tests/export-graph-ops.cpp
#	tests/test-chat.cpp
#	tests/test-state-restore-fragmented.cpp
#	tests/test-thread-safety.cpp
#	tools/batched-bench/batched-bench.cpp
#	tools/cli/cli.cpp
#	tools/cvector-generator/cvector-generator.cpp
#	tools/export-lora/export-lora.cpp
#	tools/imatrix/imatrix.cpp
#	tools/perplexity/perplexity.cpp
#	tools/results/results.cpp
#	tools/server/CMakeLists.txt

tools/completion/completion.cpp

@@ -91,12 +91,12 @@ int main(int argc, char ** argv) {
     common_params params;
     g_params = &params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_COMPLETION, print_usage)) {
         return 1;
     }
 
-    common_init();
-
     auto & sparams = params.sampling;
 
     // save choice to use color for later
@@ -147,19 +147,13 @@ int main(int argc, char ** argv) {
 
     ctx   = llama_init->context();
     model = llama_init->model();
+    smpl  = llama_init->sampler(0);
 
     if (ctx == NULL) {
         LOG_ERR("%s: error: unable to create context\n", __func__);
         return 1;
     }
 
-    if (model == NULL) {
-        LOG_ERR("%s: error: unable to load model\n", __func__);
-        return 1;
-    }
-
-    smpl = llama_init->sampler(0);
-
     llama_memory_t mem = llama_get_memory(ctx);
     const llama_vocab * vocab = llama_model_get_vocab(model);