|
|
@@ -3146,7 +3146,15 @@ static void llm_load_print_meta(llama_model_loader & ml, llama_model & model) {
|
|
|
LLAMA_LOG_INFO("%s: rope_finetuned = %s\n", __func__, hparams.rope_finetuned ? "yes" : "unknown");
|
|
|
LLAMA_LOG_INFO("%s: model type = %s\n", __func__, llama_model_type_name(model.type));
|
|
|
LLAMA_LOG_INFO("%s: model ftype = %s\n", __func__, llama_model_ftype_name(model.ftype).c_str());
|
|
|
- LLAMA_LOG_INFO("%s: model params = %.2f B\n", __func__, ml.n_elements*1e-9);
|
|
|
+ if (ml.n_elements >= 1e12) {
|
|
|
+ LLAMA_LOG_INFO("%s: model params = %.2f T\n", __func__, ml.n_elements*1e-12);
|
|
|
+ } else if (ml.n_elements >= 1e9) {
|
|
|
+ LLAMA_LOG_INFO("%s: model params = %.2f B\n", __func__, ml.n_elements*1e-9);
|
|
|
+ } else if (ml.n_elements >= 1e6) {
|
|
|
+ LLAMA_LOG_INFO("%s: model params = %.2f M\n", __func__, ml.n_elements*1e-6);
|
|
|
+ } else {
|
|
|
+ LLAMA_LOG_INFO("%s: model params = %.2f K\n", __func__, ml.n_elements*1e-3);
|
|
|
+ }
|
|
|
if (ml.n_bytes < GiB) {
|
|
|
LLAMA_LOG_INFO("%s: model size = %.2f MiB (%.2f BPW) \n", __func__, ml.n_bytes/1024.0/1024.0, ml.n_bytes*8.0/ml.n_elements);
|
|
|
} else {
|