llama : keep track of all EOG tokens in the vocab

ggml-ci
This commit is contained in:
Georgi Gerganov 2024-09-23 16:57:04 +03:00
parent 37f8c7b4c9
commit a2393d6f08
No known key found for this signature in database
GPG Key ID: 449E073F9DC10735
3 changed files with 61 additions and 18 deletions

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@ -1570,11 +1570,7 @@ llama_token_attr llama_token_get_attr_impl(const struct llama_vocab & vocab, lla
}
bool llama_token_is_eog_impl(const struct llama_vocab & vocab, llama_token token) {
return token != -1 && (
token == llama_token_eos_impl(vocab) ||
token == llama_token_eot_impl(vocab) ||
token == llama_token_eom_impl(vocab)
);
return token != -1 && vocab.special_eog_ids.count(token) > 0;
}
bool llama_token_is_control_impl(const struct llama_vocab & vocab, llama_token token) {

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@ -6,6 +6,7 @@
#include <vector>
#include <unordered_map>
#include <map>
#include <set>
struct llama_vocab {
using id = llama_token;
@ -49,12 +50,15 @@ struct llama_vocab {
id special_eot_id = -1; // TODO: move above after "eos_id", and here add "file separator" token
id special_eom_id = -1;
// set of all tokens that cause "end of generation"
std::set<id> special_eog_ids;
// tokenizer flags
bool tokenizer_add_space_prefix = false;
bool tokenizer_add_bos = false;
bool tokenizer_add_eos = false;
bool tokenizer_ignore_merges = false;
bool tokenizer_clean_spaces = false; // clean_up_tokenization_spaces
bool tokenizer_add_space_prefix = false;
bool tokenizer_add_bos = false;
bool tokenizer_add_eos = false;
bool tokenizer_ignore_merges = false;
bool tokenizer_clean_spaces = false; // clean_up_tokenization_spaces
bool tokenizer_remove_extra_whitespaces = false;
bool tokenizer_escape_whitespaces = true;
bool tokenizer_treat_whitespace_as_suffix = false;

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@ -6509,21 +6509,21 @@ static void llm_load_vocab(
// for now, we apply this workaround to find the EOT token based on its text
if (vocab.special_eot_id == -1) {
for (const auto & t : vocab.token_to_id) {
if (
if (false
// TODO: gemma "<end_of_turn>" is exported as a normal token, so the following check does not work
// need to fix convert script
//vocab.id_to_token[t.second].type == LLAMA_TOKEN_TYPE_CONTROL &&
(t.first == "<|eot_id|>" ||
t.first == "<|im_end|>" ||
t.first == "<|end|>" ||
t.first == "<end_of_turn>" ||
t.first == "<|endoftext|>"
)
|| t.first == "<|eot_id|>"
|| t.first == "<|im_end|>"
|| t.first == "<|end|>"
|| t.first == "<end_of_turn>"
|| t.first == "<|endoftext|>"
|| t.first == "<EOT>"
) {
vocab.special_eot_id = t.second;
if ((vocab.id_to_token[t.second].attr & LLAMA_TOKEN_ATTR_CONTROL) == 0) {
LLAMA_LOG_WARN("%s: control-looking token: '%s' was not control-type; this is probably a bug in the model. its type will be overridden\n",
__func__, t.first.c_str());
__func__, t.first.c_str());
vocab.id_to_token[t.second].attr = LLAMA_TOKEN_ATTR_CONTROL;
}
break;
@ -6546,6 +6546,44 @@ static void llm_load_vocab(
}
}
}
// maintain a list of tokens that cause end-of-generation
// this is currently determined based on the token text, which is obviously not ideal
// ref: https://github.com/ggerganov/llama.cpp/issues/9606
vocab.special_eog_ids.clear();
for (const auto & t : vocab.token_to_id) {
if (false
|| t.first == "<|eot_id|>"
|| t.first == "<|im_end|>"
|| t.first == "<|end|>"
|| t.first == "<end_of_turn>"
|| t.first == "<|endoftext|>"
|| t.first == "<|eom_id|>"
|| t.first == "<EOT>"
) {
vocab.special_eog_ids.insert(t.second);
if ((vocab.id_to_token[t.second].attr & LLAMA_TOKEN_ATTR_CONTROL) == 0) {
LLAMA_LOG_WARN("%s: control-looking token: '%s' was not control-type; this is probably a bug in the model. its type will be overridden\n",
__func__, t.first.c_str());
vocab.id_to_token[t.second].attr = LLAMA_TOKEN_ATTR_CONTROL;
}
}
}
if (vocab.special_eos_id != -1 && vocab.special_eog_ids.count(vocab.special_eos_id) == 0) {
vocab.special_eog_ids.insert(vocab.special_eos_id);
LLAMA_LOG_WARN("%s: special_eos_id is not in special_eog_ids - the tokenizer config may be incorrect\n", __func__);
}
if (vocab.special_eot_id != -1 && vocab.special_eog_ids.count(vocab.special_eot_id) == 0) {
vocab.special_eog_ids.insert(vocab.special_eot_id);
LLAMA_LOG_WARN("%s: special_eot_id is not in special_eog_ids - the tokenizer config may be incorrect\n", __func__);
}
if (vocab.special_eom_id != -1 && vocab.special_eog_ids.count(vocab.special_eom_id) == 0) {
vocab.special_eog_ids.insert(vocab.special_eom_id);
LLAMA_LOG_WARN("%s: special_eom_id is not in special_eog_ids - the tokenizer config may be incorrect\n", __func__);
}
}
// build special tokens cache
@ -6749,6 +6787,11 @@ static void llm_load_print_meta(llama_model_loader & ml, llama_model & model) {
if (vocab.special_suffix_id != -1) { LLAMA_LOG_INFO( "%s: SUF token = %d '%s'\n", __func__, vocab.special_suffix_id, vocab.id_to_token[vocab.special_suffix_id].text.c_str() ); }
if (vocab.special_middle_id != -1) { LLAMA_LOG_INFO( "%s: MID token = %d '%s'\n", __func__, vocab.special_middle_id, vocab.id_to_token[vocab.special_middle_id].text.c_str() ); }
if (vocab.special_eot_id != -1) { LLAMA_LOG_INFO( "%s: EOT token = %d '%s'\n", __func__, vocab.special_eot_id, vocab.id_to_token[vocab.special_eot_id].text.c_str() ); }
if (vocab.special_eom_id != -1) { LLAMA_LOG_INFO( "%s: EOM token = %d '%s'\n", __func__, vocab.special_eom_id, vocab.id_to_token[vocab.special_eom_id].text.c_str() ); }
for (const auto & id : vocab.special_eog_ids) {
LLAMA_LOG_INFO( "%s: EOG token = %d '%s'\n", __func__, id, vocab.id_to_token[id].text.c_str() );
}
LLAMA_LOG_INFO("%s: max token length = %d\n", __func__, vocab.max_token_len);