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llama.cpp : show model size and BPW on load (#3223)

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slaren 2023-09-17 14:33:28 +02:00 committed by GitHub
parent 578d8c8f5c
commit 8b428c9bc8
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1 changed files with 10 additions and 2 deletions
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llama.cpp
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@ -927,6 +927,7 @@ enum e_model {
static const size_t kB = 1024;
static const size_t MB = kB*kB;
static const size_t GB = kB*kB*kB;
// default hparams (LLaMA 7B)
struct llama_hparams {
@ -1280,6 +1281,7 @@ struct llama_model_loader {
int n_created = 0;
int64_t n_elements = 0;
size_t n_bytes = 0;
bool use_mmap = false;
@ -1312,6 +1314,7 @@ struct llama_model_loader {
const char * name = gguf_get_tensor_name(ctx_gguf, i);
struct ggml_tensor * t = ggml_get_tensor(ctx_meta, name);
n_elements += ggml_nelements(t);
n_bytes += ggml_nbytes(t);
}
LLAMA_LOG_INFO("%s: loaded meta data with %d key-value pairs and %d tensors from %s (version %s)\n",
@ -1909,7 +1912,12 @@ static void llm_load_print_meta(llama_model_loader & ml, llama_model & model) {
LLAMA_LOG_INFO("%s: freq_scale = %g\n", __func__, hparams.rope_freq_scale);
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 size = %.2f B\n", __func__, ml.n_elements*1e-9);
LLAMA_LOG_INFO("%s: model params = %.2f B\n", __func__, ml.n_elements*1e-9);
if (ml.n_bytes < GB) {
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 {
LLAMA_LOG_INFO("%s: model size = %.2f GiB (%.2f BPW) \n", __func__, ml.n_bytes/1024.0/1024.0/1024.0, ml.n_bytes*8.0/ml.n_elements);
}
// general kv
LLAMA_LOG_INFO("%s: general.name = %s\n", __func__, model.name.c_str());
@ -3495,7 +3503,7 @@ static struct ggml_cgraph * llm_build_starcoder(
ggml_allocr_alloc(lctx.alloc, token);
if (!ggml_allocr_is_measure(lctx.alloc)) {
memcpy(token->data, embd, N * n_embd * ggml_element_size(inpL));
memcpy(token->data, embd, N * n_embd * ggml_element_size(token));
}
}