vbatts/llama.cpp
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llama.cpp : get special token kv and linefeed token id

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klosax 2023-08-18 03:34:30 +02:00 • committed by GitHub
parent 306070c896
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1 changed files with 37 additions and 8 deletions
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llama.cpp
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@ -761,7 +761,6 @@ struct llama_kv_cache {
struct llama_vocab { struct llama_vocab {
// TODO: // TODO:
// - add a vector of merges // - add a vector of merges
// - add members for bos/eos/pad/sep tokens
// so that we can pass it to different types of tokenizers with a common interface // so that we can pass it to different types of tokenizers with a common interface
using id = int32_t; using id = int32_t;
@ -774,6 +773,14 @@ struct llama_vocab {
std::unordered_map<token, id> token_to_id; std::unordered_map<token, id> token_to_id;
std::vector<token_score> id_to_token; std::vector<token_score> id_to_token;
id special_bos_id = -1;
id special_eos_id = -1;
id special_unk_id = -1;
id special_sep_id = -1;
id special_pad_id = -1;
id linefeed_id = -1;
}; };
struct llama_model { struct llama_model {
@ -1349,9 +1356,6 @@ static void llama_model_load_internal(
} \ } \
} }
// get general kv
GGUF_GET(general_name, gguf_get_val_str, GGUF_TYPE_STRING, false, "general.name");
// get hparams kv // get hparams kv
GGUF_GET(hparams.n_vocab, gguf_get_arr_n, GGUF_TYPE_ARRAY, true, "tokenizer.ggml.tokens"); GGUF_GET(hparams.n_vocab, gguf_get_arr_n, GGUF_TYPE_ARRAY, true, "tokenizer.ggml.tokens");
GGUF_GET(hparams.n_ctx_train, gguf_get_val_u32, GGUF_TYPE_UINT32, true, "llama.context_length"); GGUF_GET(hparams.n_ctx_train, gguf_get_val_u32, GGUF_TYPE_UINT32, true, "llama.context_length");
@ -1366,6 +1370,16 @@ static void llama_model_load_internal(
hparams.n_head_kv = hparams.n_head; hparams.n_head_kv = hparams.n_head;
GGUF_GET(hparams.n_head_kv, gguf_get_val_u32, GGUF_TYPE_UINT32, false, "llama.attention.head_count_kv"); GGUF_GET(hparams.n_head_kv, gguf_get_val_u32, GGUF_TYPE_UINT32, false, "llama.attention.head_count_kv");
// get general kv
GGUF_GET(general_name, gguf_get_val_str, GGUF_TYPE_STRING, false, "general.name");
// special tokens
GGUF_GET(vocab.special_bos_id, gguf_get_val_u32, GGUF_TYPE_UINT32, false, "tokenizer.ggml.bos_token_id");
GGUF_GET(vocab.special_eos_id, gguf_get_val_u32, GGUF_TYPE_UINT32, false, "tokenizer.ggml.eos_token_id");
GGUF_GET(vocab.special_unk_id, gguf_get_val_u32, GGUF_TYPE_UINT32, false, "tokenizer.ggml.unknown_token_id");
GGUF_GET(vocab.special_sep_id, gguf_get_val_u32, GGUF_TYPE_UINT32, false, "tokenizer.ggml.separator_token_id");
GGUF_GET(vocab.special_pad_id, gguf_get_val_u32, GGUF_TYPE_UINT32, false, "tokenizer.ggml.padding_token_id");
#undef GGUF_GET #undef GGUF_GET
switch (hparams.n_layer) { switch (hparams.n_layer) {
@ -1407,12 +1421,12 @@ static void llama_model_load_internal(
const int token_idx = gguf_find_key(ctx, "tokenizer.ggml.tokens"); const int token_idx = gguf_find_key(ctx, "tokenizer.ggml.tokens");
if (token_idx == -1) { if (token_idx == -1) {
throw std::runtime_error("cannot find token list in GGUF file\n"); throw std::runtime_error("cannot find tokenizer vocab in model file\n");
} }
const int score_idx = gguf_find_key(ctx, "tokenizer.ggml.scores"); const int score_idx = gguf_find_key(ctx, "tokenizer.ggml.scores");
if (score_idx == -1) { if (score_idx == -1) {
throw std::runtime_error("cannot find token scores list in GGUF file\n"); throw std::runtime_error("cannot find tokenizer scores in model file\n");
} }
const float * scores = (const float * ) gguf_get_arr_data(ctx, score_idx); const float * scores = (const float * ) gguf_get_arr_data(ctx, score_idx);
@ -1425,12 +1439,16 @@ static void llama_model_load_internal(
auto & tok_score = vocab.id_to_token[i]; auto & tok_score = vocab.id_to_token[i];
tok_score.tok = std::move(word); tok_score.tok = std::move(word);
tok_score.score = scores[i]; tok_score.score = scores[i];
if( tok_score.tok == "<0x0A>" ) {
vocab.linefeed_id = i;
} }
} }
}
{ {
LLAMA_LOG_INFO("%s: general.name = %s\n", __func__, general_name.c_str()); // hparams
LLAMA_LOG_INFO("%s: format = %s\n", __func__, llama_file_version_name(ml->file_version)); LLAMA_LOG_INFO("%s: format = %s\n", __func__, llama_file_version_name(ml->file_version));
LLAMA_LOG_INFO("%s: n_vocab = %u\n", __func__, hparams.n_vocab); LLAMA_LOG_INFO("%s: n_vocab = %u\n", __func__, hparams.n_vocab);
LLAMA_LOG_INFO("%s: n_ctx_train = %u\n", __func__, hparams.n_ctx_train); LLAMA_LOG_INFO("%s: n_ctx_train = %u\n", __func__, hparams.n_ctx_train);
@ -1449,6 +1467,17 @@ static void llama_model_load_internal(
LLAMA_LOG_INFO("%s: model size = %.2f B\n", __func__, ml->n_elements*1e-9); LLAMA_LOG_INFO("%s: model size = %.2f B\n", __func__, ml->n_elements*1e-9);
// TODO: print number of tensors for each quantization // TODO: print number of tensors for each quantization
// general kv
LLAMA_LOG_INFO("%s: general.name = %s\n", __func__, general_name.c_str());
// special tokens
if( vocab.special_bos_id != -1 ) { LLAMA_LOG_INFO( "%s: BOS token = %d '%s'\n", __func__, vocab.special_bos_id, vocab.id_to_token[vocab.special_bos_id].tok.c_str() ); }
if( vocab.special_eos_id != -1 ) { LLAMA_LOG_INFO( "%s: EOS token = %d '%s'\n", __func__, vocab.special_eos_id, vocab.id_to_token[vocab.special_eos_id].tok.c_str() ); }
if( vocab.special_unk_id != -1 ) { LLAMA_LOG_INFO( "%s: UNK token = %d '%s'\n", __func__, vocab.special_unk_id, vocab.id_to_token[vocab.special_unk_id].tok.c_str() ); }
if( vocab.special_sep_id != -1 ) { LLAMA_LOG_INFO( "%s: SEP token = %d '%s'\n", __func__, vocab.special_sep_id, vocab.id_to_token[vocab.special_sep_id].tok.c_str() ); }
if( vocab.special_pad_id != -1 ) { LLAMA_LOG_INFO( "%s: PAD token = %d '%s'\n", __func__, vocab.special_pad_id, vocab.id_to_token[vocab.special_pad_id].tok.c_str() ); }
if( vocab.linefeed_id != -1 ) { LLAMA_LOG_INFO( "%s: LF token = %d '%s'\n", __func__, vocab.linefeed_id, vocab.id_to_token[vocab.linefeed_id].tok.c_str() ); }
} }
if (vocab_only) { if (vocab_only) {