gguf : add ftype meta info to the model (#2710)

* llama : add ftype meta info to the model

ggml-ci

* convert.py : add ftype when converting (does not work)

* convert.py : fix Enum to IntEnum

ggml-ci
This commit is contained in:
Georgi Gerganov 2023-08-22 20:05:59 +03:00 committed by GitHub
parent bac66994cf
commit deb7dfca4b
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GPG key ID: 4AEE18F83AFDEB23
4 changed files with 47 additions and 9 deletions

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@ -995,6 +995,16 @@ struct llama_model_loader {
} break;
}
// this is a way to mark that we have "guessed" the file type
ftype = (llama_ftype) (ftype | LLAMA_FTYPE_GUESSED);
{
const int kid = gguf_find_key(ctx_gguf, "general.file_type");
if (kid >= 0) {
ftype = (llama_ftype) gguf_get_val_u32(ctx_gguf, kid);
}
}
for (int i = 0; i < n_kv; i++) {
const char * name = gguf_get_key(ctx_gguf, i);
const enum gguf_type type = gguf_get_kv_type(ctx_gguf, i);
@ -1197,7 +1207,11 @@ struct llama_model_loader {
// load LLaMA models
//
const char * llama_model_ftype_name(enum llama_ftype ftype) {
std::string llama_model_ftype_name(enum llama_ftype ftype) {
if (ftype & LLAMA_FTYPE_GUESSED) {
return llama_model_ftype_name((enum llama_ftype) (ftype & ~LLAMA_FTYPE_GUESSED)) + " (guessed)";
}
switch (ftype) {
case LLAMA_FTYPE_ALL_F32: return "all F32";
case LLAMA_FTYPE_MOSTLY_F16: return "mostly F16";
@ -1426,7 +1440,7 @@ static void llama_model_load_internal(
LLAMA_LOG_INFO("%s: freq_base = %.1f\n", __func__, hparams.rope_freq_base);
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));
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);
// general kv
@ -3450,6 +3464,7 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
// copy the KV pairs from the input file
gguf_set_kv (ctx_out, model_loader->ctx_gguf);
gguf_set_val_u32(ctx_out, "general.quantization_version", GGML_QNT_VERSION);
gguf_set_val_u32(ctx_out, "general.file_type", ftype);
#ifdef GGML_USE_K_QUANTS
int n_attention_wv = 0;
@ -4310,7 +4325,7 @@ int llama_model_n_embd(const struct llama_model * model) {
}
int llama_model_type(const struct llama_model * model, char * buf, size_t buf_size) {
return snprintf(buf, buf_size, "LLaMA %s %s", llama_model_type_name(model->type), llama_model_ftype_name(model->ftype));
return snprintf(buf, buf_size, "LLaMA %s %s", llama_model_type_name(model->type), llama_model_ftype_name(model->ftype).c_str());
}
int llama_model_quantize(