llama : add ftype meta info to the model
ggml-ci
This commit is contained in:
parent
ef3f333d37
commit
bee1f0e441
3 changed files with 24 additions and 3 deletions
4
gguf.py
4
gguf.py
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@ -26,6 +26,7 @@ KEY_GENERAL_DESCRIPTION = "general.description"
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KEY_GENERAL_LICENSE = "general.license"
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KEY_GENERAL_LICENSE = "general.license"
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KEY_GENERAL_SOURCE_URL = "general.source.url"
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KEY_GENERAL_SOURCE_URL = "general.source.url"
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KEY_GENERAL_SOURCE_HF_REPO = "general.source.hugginface.repository"
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KEY_GENERAL_SOURCE_HF_REPO = "general.source.hugginface.repository"
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KEY_GENERAL_FILE_TYPE = "general.file_type"
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# LLM
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# LLM
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KEY_LLM_CONTEXT_LENGTH = "{arch}.context_length"
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KEY_LLM_CONTEXT_LENGTH = "{arch}.context_length"
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@ -595,6 +596,9 @@ class GGUFWriter:
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def add_source_hf_repo(self, repo: str):
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def add_source_hf_repo(self, repo: str):
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self.add_string(KEY_GENERAL_SOURCE_HF_REPO, repo)
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self.add_string(KEY_GENERAL_SOURCE_HF_REPO, repo)
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def add_file_type(self, ftype: int):
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self.add_string(KEY_GENERAL_FILE_TYPE, file_type)
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def add_name(self, name: str):
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def add_name(self, name: str):
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self.add_string(KEY_GENERAL_NAME, name)
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self.add_string(KEY_GENERAL_NAME, name)
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21
llama.cpp
21
llama.cpp
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@ -1121,6 +1121,16 @@ struct llama_model_loader {
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} break;
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} break;
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}
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}
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// this is a way to mark that we have "guessed" the file type
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ftype = (llama_ftype) (ftype | LLAMA_FTYPE_GUESSED);
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{
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const int kid = gguf_find_key(ctx_gguf, "general.file_type");
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if (kid >= 0) {
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ftype = (llama_ftype) gguf_get_val_u32(ctx_gguf, kid);
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}
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}
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for (int i = 0; i < n_kv; i++) {
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for (int i = 0; i < n_kv; i++) {
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const char * name = gguf_get_key(ctx_gguf, i);
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const char * name = gguf_get_key(ctx_gguf, i);
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const enum gguf_type type = gguf_get_kv_type(ctx_gguf, i);
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const enum gguf_type type = gguf_get_kv_type(ctx_gguf, i);
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@ -1323,7 +1333,11 @@ struct llama_model_loader {
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// load LLaMA models
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// load LLaMA models
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//
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//
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const char * llama_model_ftype_name(enum llama_ftype ftype) {
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std::string llama_model_ftype_name(enum llama_ftype ftype) {
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if (ftype & LLAMA_FTYPE_GUESSED) {
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return llama_model_ftype_name((enum llama_ftype) (ftype & ~LLAMA_FTYPE_GUESSED)) + " (guessed)";
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}
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switch (ftype) {
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switch (ftype) {
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case LLAMA_FTYPE_ALL_F32: return "all F32";
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case LLAMA_FTYPE_ALL_F32: return "all F32";
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case LLAMA_FTYPE_MOSTLY_F16: return "mostly F16";
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case LLAMA_FTYPE_MOSTLY_F16: return "mostly F16";
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@ -1552,7 +1566,7 @@ static void llama_model_load_internal(
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LLAMA_LOG_INFO("%s: freq_base = %.1f\n", __func__, hparams.rope_freq_base);
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LLAMA_LOG_INFO("%s: freq_base = %.1f\n", __func__, hparams.rope_freq_base);
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LLAMA_LOG_INFO("%s: freq_scale = %g\n", __func__, hparams.rope_freq_scale);
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LLAMA_LOG_INFO("%s: freq_scale = %g\n", __func__, hparams.rope_freq_scale);
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LLAMA_LOG_INFO("%s: model type = %s\n", __func__, llama_model_type_name(model.type));
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LLAMA_LOG_INFO("%s: model type = %s\n", __func__, llama_model_type_name(model.type));
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LLAMA_LOG_INFO("%s: model ftype = %s\n", __func__, llama_model_ftype_name(model.ftype));
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LLAMA_LOG_INFO("%s: model ftype = %s\n", __func__, llama_model_ftype_name(model.ftype).c_str());
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LLAMA_LOG_INFO("%s: model size = %.2f B\n", __func__, ml->n_elements*1e-9);
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LLAMA_LOG_INFO("%s: model size = %.2f B\n", __func__, ml->n_elements*1e-9);
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// general kv
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// general kv
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@ -3620,6 +3634,7 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
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// copy the KV pairs from the input file
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// copy the KV pairs from the input file
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gguf_set_kv (ctx_out, model_loader->ctx_gguf);
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gguf_set_kv (ctx_out, model_loader->ctx_gguf);
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gguf_set_val_u32(ctx_out, "general.quantization_version", GGML_QNT_VERSION);
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gguf_set_val_u32(ctx_out, "general.quantization_version", GGML_QNT_VERSION);
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gguf_set_val_u32(ctx_out, "general.file_type", ftype);
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#ifdef GGML_USE_K_QUANTS
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#ifdef GGML_USE_K_QUANTS
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int n_attention_wv = 0;
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int n_attention_wv = 0;
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@ -4471,7 +4486,7 @@ int llama_model_n_embd(const struct llama_model * model) {
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}
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}
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int llama_model_type(const struct llama_model * model, char * buf, size_t buf_size) {
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int llama_model_type(const struct llama_model * model, char * buf, size_t buf_size) {
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return snprintf(buf, buf_size, "LLaMA %s %s", llama_model_type_name(model->type), llama_model_ftype_name(model->ftype));
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return snprintf(buf, buf_size, "LLaMA %s %s", llama_model_type_name(model->type), llama_model_ftype_name(model->ftype).c_str());
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}
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}
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int llama_model_quantize(
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int llama_model_quantize(
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2
llama.h
2
llama.h
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@ -103,6 +103,8 @@ extern "C" {
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LLAMA_FTYPE_MOSTLY_Q5_K_S = 16,// except 1d tensors
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LLAMA_FTYPE_MOSTLY_Q5_K_S = 16,// except 1d tensors
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LLAMA_FTYPE_MOSTLY_Q5_K_M = 17,// except 1d tensors
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LLAMA_FTYPE_MOSTLY_Q5_K_M = 17,// except 1d tensors
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LLAMA_FTYPE_MOSTLY_Q6_K = 18,// except 1d tensors
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LLAMA_FTYPE_MOSTLY_Q6_K = 18,// except 1d tensors
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LLAMA_FTYPE_GUESSED = 1024, // not specified in the model file
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};
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};
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typedef struct llama_token_data {
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typedef struct llama_token_data {
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