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add metadata check

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ngxson 2024-07-08 17:44:14 +02:00
parent 41ced241f2
commit 0e16188985
1 changed files with 23 additions and 3 deletions
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src/llama.cpp
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@ -371,6 +371,8 @@ enum llm_kv {
LLM_KV_TOKENIZER_SUFFIX_ID, LLM_KV_TOKENIZER_SUFFIX_ID,
LLM_KV_TOKENIZER_MIDDLE_ID, LLM_KV_TOKENIZER_MIDDLE_ID,
LLM_KV_TOKENIZER_EOT_ID, LLM_KV_TOKENIZER_EOT_ID,
LLM_KV_TRAINING_TYPE,
}; };
static const std::map<llm_kv, const char *> LLM_KV_NAMES = { static const std::map<llm_kv, const char *> LLM_KV_NAMES = {
@ -464,6 +466,8 @@ static const std::map<llm_kv, const char *> LLM_KV_NAMES = {
{ LLM_KV_TOKENIZER_SUFFIX_ID, "tokenizer.ggml.suffix_token_id" }, { LLM_KV_TOKENIZER_SUFFIX_ID, "tokenizer.ggml.suffix_token_id" },
{ LLM_KV_TOKENIZER_MIDDLE_ID, "tokenizer.ggml.middle_token_id" }, { LLM_KV_TOKENIZER_MIDDLE_ID, "tokenizer.ggml.middle_token_id" },
{ LLM_KV_TOKENIZER_EOT_ID, "tokenizer.ggml.eot_token_id" }, { LLM_KV_TOKENIZER_EOT_ID, "tokenizer.ggml.eot_token_id" },
{ LLM_KV_TRAINING_TYPE, "training.type" },
}; };
struct LLM_KV { struct LLM_KV {
@ -18519,8 +18523,6 @@ static void llama_lora_adapter_init_internal(struct llama_model * model, const c
static const int n_out_tensors = 5; // see llama_model static const int n_out_tensors = 5; // see llama_model
LLAMA_LOG_INFO("%s: applying lora adapter from '%s' - please wait ...\n", __func__, path_lora); LLAMA_LOG_INFO("%s: applying lora adapter from '%s' - please wait ...\n", __func__, path_lora);
// TODO: check lora base model arch
ggml_context * ctx = nullptr; ggml_context * ctx = nullptr;
struct gguf_init_params meta_gguf_params = { struct gguf_init_params meta_gguf_params = {
/* .no_alloc = */ false, /* .no_alloc = */ false,
@ -18532,6 +18534,25 @@ static void llama_lora_adapter_init_internal(struct llama_model * model, const c
throw std::exception(); throw std::exception();
} }
// check metadata
{
auto get_kv_str = [&](std::string key) -> std::string {
std::vector<char> str_buf(32, 0); // we only get the arch, so no need big buffer here
int id = gguf_find_key(ctx_gguf, key.c_str());
return id < 0 ? "" : std::string(gguf_get_val_str(ctx_gguf, id));
};
LLM_KV llm_kv = LLM_KV(LLM_ARCH_UNKNOWN);
auto lora_arch_name = get_kv_str(llm_kv(LLM_KV_GENERAL_ARCHITECTURE));
auto lora_arch = llm_arch_from_string(lora_arch_name);
if (lora_arch != model->arch) {
throw std::runtime_error("model arch and LoRA arch mismatch");
}
auto train_type = get_kv_str(llm_kv(LLM_KV_TRAINING_TYPE));
if (train_type != "finetune_lora") {
throw std::runtime_error("expect training.type to be finetune_lora, but got: " + train_type);
}
}
// calculate n_tensors_per_layer // calculate n_tensors_per_layer
int n_tensors_per_layer = 0; int n_tensors_per_layer = 0;
{ {
@ -18542,7 +18563,6 @@ static void llama_lora_adapter_init_internal(struct llama_model * model, const c
if (il == 0) n_tensors_per_layer++; if (il == 0) n_tensors_per_layer++;
} }
} }
// printf("n_tensors_per_layer %d\n", n_tensors_per_layer);
// count layer buffer types // count layer buffer types
std::map<ggml_backend_buffer_type_t, int> buft_tensor_count; std::map<ggml_backend_buffer_type_t, int> buft_tensor_count;