// ref: https://github.com/ggml-org/llama.cpp/issues/25937
// only works reliably when run with a large model that occupies 3GB+ of wired memory
// thus, this test is not run by default
// example model to run with: google/gemma-4-E4B-it-qat-q4_0-gguf
#include "llama.h"
#include "common.h"
#include <cstdint>
#include <mach/mach.h>
#include <mach/mach_host.h>
#include <unistd.h>
static uint64_t wired_memory() {
vm_statistics64_data_t vmstat;
mach_msg_type_number_t count = HOST_VM_INFO64_COUNT;
if (host_statistics64(mach_host_self(), HOST_VM_INFO64, (host_info64_t)&vmstat, &count) != KERN_SUCCESS) {
return UINT64_MAX;
}
return static_cast<uint64_t>(vmstat.wire_count) * vm_kernel_page_size;
}
int main(int argc, char ** argv) {
auto * model_path = common_get_model_or_exit(argc, argv);
llama_backend_init();
const uint64_t wired_initial = wired_memory();
llama_model_params params = llama_model_default_params();
params.load_mode = LLAMA_LOAD_MODE_NONE;
struct llama_model* model = llama_model_load_from_file(model_path, params);
const uint64_t wired_loaded = wired_memory();
const uint64_t wired_delta = wired_loaded - wired_initial;
// system memory fluctuates, so we need to allocate enough to reliably detect the release
GGML_ASSERT(wired_delta > 2'000'000'000); // 2GB
llama_model_free(model);
const uint64_t t_start_ms = ggml_time_ms();
// expect most of the allocated memory to be released within 10 seconds
// we allow for some tolerance due to system-wide memory fluctuations
while (wired_memory() > wired_loaded - 0.75 * wired_delta) {
GGML_ASSERT(ggml_time_ms() - t_start_ms < 10'000);
usleep(100'000); // 100ms
}
llama_backend_free();
return 0;
}