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fix eos tokens to glm4

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This commit is contained in:
toyer 2024-06-20 08:10:00 +00:00
parent 1fc5bf5bcb
commit 8c5f1b2b6c
2 changed files with 43 additions and 9 deletions
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17
convert-hf-to-gguf.py
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@ -2728,6 +2728,8 @@ class ChatGLMModel(Model):
tokenizer = AutoTokenizer.from_pretrained(dir_model, trust_remote_code=True)
vocab_size = hparams.get("padded_vocab_size", len(tokenizer.get_vocab()))
assert max(tokenizer.get_vocab().values()) < vocab_size
role_special_tokens = ["<|system|>", "<|user|>", "<|assistant|>", "<|observation|>"]
special_tokens = ["[MASK]", "[gMASK]", "[sMASK]", "sop", "eop"] + role_special_tokens
print(vocab_size)
print(max(tokenizer.get_vocab().values()))
for token_id in range(vocab_size):
@ -2750,7 +2752,12 @@ class ChatGLMModel(Model):
text = f"[PAD{token_id}]".encode("utf-8")
if token_id >= tokenizer.tokenizer.sp_model.vocab_size():
toktype = SentencePieceTokenTypes.UNKNOWN
if piece in special_tokens:
# show special tokens in prompt
toktype = SentencePieceTokenTypes.USER_DEFINED
else:
print(f"unknow token: {piece}")
toktype = SentencePieceTokenTypes.UNKNOWN
tokens.append(text)
scores.append(score)
toktypes.append(toktype)
@ -2856,9 +2863,9 @@ class ChatGLMModel(Model):
special_vocab.chat_template = "ChatGLM4"
special_vocab.merges = merges
# only add special tokens when they were not already loaded from config.json
if len(special_vocab.special_token_ids) == 0:
special_vocab._set_special_token("bos", tokenizer.get_added_vocab()["<|endoftext|>"])
special_vocab._set_special_token("eos", tokenizer.get_added_vocab()["<|endoftext|>"])
# if len(special_vocab.special_token_ids) == 0:
special_vocab._set_special_token("bos", tokenizer.get_added_vocab()["<|endoftext|>"])
special_vocab._set_special_token("eos", tokenizer.get_added_vocab()["<|endoftext|>"])
# this one is usually not in config.json anyway
special_vocab._set_special_token("unk", tokenizer.get_added_vocab()["<|endoftext|>"])
special_vocab.add_to_gguf(self.gguf_writer)
@ -2955,7 +2962,7 @@ def parse_args() -> argparse.Namespace:
help="model is executed on big endian machine",
)
parser.add_argument(
"model", type=Path,
"--model", type=Path,
help="directory containing model file",
)
parser.add_argument(

35
llama.cpp
View File

@ -1802,9 +1802,11 @@ enum e_model {
MODEL_2_8B,
MODEL_3B,
MODEL_4B,
MODEL_6B,
MODEL_6_9B,
MODEL_7B,
MODEL_8B,
MODEL_9B,
MODEL_12B,
MODEL_13B,
MODEL_14B,
@ -3918,9 +3920,11 @@ static const char * llama_model_type_name(e_model type) {
case MODEL_2_8B: return "2.8B";
case MODEL_3B: return "3B";
case MODEL_4B: return "4B";
case MODEL_6B: return "6B";
case MODEL_6_9B: return "6.9B";
case MODEL_7B: return "7B";
case MODEL_8B: return "8B";
case MODEL_9B: return "9B";
case MODEL_12B: return "12B";
case MODEL_13B: return "13B";
case MODEL_14B: return "14B";
@ -4507,8 +4511,8 @@ static void llm_load_hparams(
{
ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
switch (hparams.n_layer) {
case 28: model.type = e_model::MODEL_7B; break;
case 40: model.type = e_model::MODEL_8B; break;
case 28: model.type = e_model::MODEL_6B; break;
case 40: model.type = e_model::MODEL_9B; break;
default: model.type = e_model::MODEL_UNKNOWN;
}
} break;
@ -18362,6 +18366,19 @@ llama_token_type llama_token_get_type(const struct llama_model * model, llama_to
}
bool llama_token_is_eog(const struct llama_model * model, llama_token token) {
auto arch_name = llama_model_arch_name(model->arch);
auto vocab_type = model->vocab.type;
if (strcmp(arch_name, "chatglm") == 0) {
if (LLAMA_VOCAB_TYPE_BPE == vocab_type) { // glm4
return token != -1 && (
token == llama_token_eos(model) ||
token == llama_token_eot(model) ||
token == 151329 ||
token == 151336 ||
token == 151338
);
}
}
return token != -1 && (
token == llama_token_eos(model) ||
token == llama_token_eot(model)
@ -18424,8 +18441,18 @@ int32_t llama_tokenize(
int32_t n_tokens_max,
bool add_special,
bool parse_special) {
auto res = llama_tokenize_internal(model->vocab, std::string(text, text_len), add_special, parse_special);
auto arch_name = llama_model_arch_name(model->arch);
auto prompt = std::move(std::string(text, text_len));
auto vocab_type = model->vocab.type;
if (strcmp(arch_name, "chatglm") == 0) {
// chatglm3
if (LLAMA_VOCAB_TYPE_SPM == vocab_type) {
prompt = "[gMASK]sop<|user|>\n" + prompt + "<|assistant|>";
} else if (LLAMA_VOCAB_TYPE_BPE == vocab_type) { // glm4
prompt = "[gMASK]<sop><|user|>\n" + prompt + "<|assistant|>";
}
}
auto res = llama_tokenize_internal(model->vocab, prompt, add_special, parse_special);
if (n_tokens_max < (int) res.size()) {
// LLAMA_LOG_ERROR("%s: too many tokens\n", __func__);
return -((int) res.size());