CS348Project/llama.cpp
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Print model version.

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Also improve model type printing, and fix indentation of an unrelated
switch statement.
This commit is contained in:
comex
2023-04-08 13:08:21 -07:00
committed by Matvey Soloviev
parent f963b63afa
commit 180b693a47
1 changed files with 46 additions and 23 deletions
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27
llama.cpp
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@@ -806,6 +806,25 @@ bool llama_mlock_supported() {
// model loading
//
static const char *llama_file_version_name(llama_file_version version) {
switch (version) {
case LLAMA_FILE_VERSION_GGML: return "'ggml' (old version with low tokenizer quality and no mmap support)";
case LLAMA_FILE_VERSION_GGMF_V1: return "ggmf v1 (old version with no mmap support)";
case LLAMA_FILE_VERSION_GGJT_V1: return "ggjt v1 (latest)";
default: LLAMA_ASSERT(false);
}
}
static const char *llama_model_type_name(e_model type) {
switch (type) {
case MODEL_7B: return "7B";
case MODEL_13B: return "13B";
case MODEL_30B: return "30B";
case MODEL_65B: return "65B";
default: LLAMA_ASSERT(false);
}
}
static void llama_model_load_internal(
const std::string & fname,
llama_context & lctx,
@@ -823,8 +842,9 @@ static void llama_model_load_internal(
lctx.vocab = std::move(ml->file_loaders.at(0)->vocab);
auto & model = lctx.model;
model.hparams = ml->file_loaders.at(0)->hparams;
llama_file_version file_version = ml->file_loaders.at(0)->file_version;
auto & hparams = model.hparams;
hparams = ml->file_loaders.at(0)->hparams;
uint32_t n_ff = ((2*(4*hparams.n_embd)/3 + hparams.n_mult - 1)/hparams.n_mult)*hparams.n_mult;
{
@@ -836,7 +856,10 @@ static void llama_model_load_internal(
}
hparams.n_ctx = n_ctx;
}
{
fprintf(stderr, "%s: format = %s\n", __func__, llama_file_version_name(file_version));
fprintf(stderr, "%s: n_vocab = %u\n", __func__, hparams.n_vocab);
fprintf(stderr, "%s: n_ctx = %u\n", __func__, hparams.n_ctx);
fprintf(stderr, "%s: n_embd = %u\n", __func__, hparams.n_embd);
@@ -847,7 +870,7 @@ static void llama_model_load_internal(
fprintf(stderr, "%s: f16 = %u\n", __func__, hparams.f16);
fprintf(stderr, "%s: n_ff = %u\n", __func__, n_ff);
fprintf(stderr, "%s: n_parts = %zu\n", __func__, ml->file_loaders.size());
fprintf(stderr, "%s: type = %u\n", __func__, model.type);
fprintf(stderr, "%s: model size = %s\n", __func__, llama_model_type_name(model.type));
}
if (vocab_only) {