diff --git a/backends/qualcomm/CMakeLists.txt b/backends/qualcomm/CMakeLists.txt
index e93731e..4951e1d 100644
--- a/backends/qualcomm/CMakeLists.txt
+++ b/backends/qualcomm/CMakeLists.txt
@@ -308,8 +308,8 @@ if(${CMAKE_SYSTEM_PROCESSOR} MATCHES Hexagon)
   )
 endif()
 
-# QNN pybind
-if(${CMAKE_SYSTEM_PROCESSOR} MATCHES "x86_64")
+# QNN pybind — host Python bindings, not for Android cross-compile
+if(${CMAKE_SYSTEM_PROCESSOR} MATCHES "x86_64" AND NOT ANDROID)
   add_subdirectory(
     ${EXECUTORCH_SOURCE_DIR}/third-party/pybind11
     ${CMAKE_CURRENT_BINARY_DIR}/pybind11
diff --git a/extension/android/jni/jni_layer_llama.cpp b/extension/android/jni/jni_layer_llama.cpp
index 45f2414..e1c2a8f 100644
--- a/extension/android/jni/jni_layer_llama.cpp
+++ b/extension/android/jni/jni_layer_llama.cpp
@@ -171,14 +171,17 @@ class ExecuTorchLlmJni : public facebook::jni::HybridClass<ExecuTorchLlmJni> {
           model_path->toStdString().c_str(),
           data_files_vector,
           executorch::extension::Module::LoadMode::MmapUseMlockIgnoreErrors);
-      std::string decoder_model = "llama3"; // use llama3 for now
+      std::string decoder_model = "qwen3"; // Kazeia: our .pte was exported with --decoder_model qwen3-4b
       runner_ = std::make_unique<example::Runner<uint16_t>>( // QNN runner
           std::move(module),
           decoder_model.c_str(),
           model_path->toStdString().c_str(),
           tokenizer_path->toStdString().c_str(),
-          "",
-          "");
+          /* performance_output_path */ "",
+          /* dump_logits_path */ "",
+          /* temperature */ 0.7f,
+          /* eval_mode */ 0, // EvalMode::kKVCached (our .pte has only kv_forward, no prefill_forward)
+          /* shared_buffer */ true);
       model_type_category_ = MODEL_TYPE_CATEGORY_LLM;
 #endif
 #if defined(EXECUTORCH_BUILD_MEDIATEK)