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fix tokenizer_info when convert the model #661

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merged 1 commit into from
Nov 8, 2023
Merged

fix tokenizer_info when convert the model #661

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18 changes: 5 additions & 13 deletions lmdeploy/turbomind/deploy/source_model/llama.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,7 +5,6 @@

import torch
from safetensors.torch import load_file
from sentencepiece import SentencePieceProcessor

from lmdeploy.tokenizer import Tokenizer

Expand Down Expand Up @@ -168,18 +167,11 @@ def get_mgrs(self):

def tokenizer_info(self):
"""Read tokenizer info."""
assert osp.isfile(self.tokenizer_path), self.tokenizer_path
try:
tk_model = SentencePieceProcessor(model_file=self.tokenizer_path)
# BOS / EOS token IDs
n_words = tk_model.vocab_size
bos_id = tk_model.bos_token_id
eos_id = tk_model.eos_token_id
except Exception:
tk_model = Tokenizer(self.model_path)
n_words = tk_model.vocab_size
bos_id = tk_model.bos_token_id
eos_id = tk_model.eos_token_id
assert osp.isdir(self.model_path), self.model_path
tk_model = Tokenizer(self.model_path)
n_words = tk_model.vocab_size
bos_id = tk_model.bos_token_id
eos_id = tk_model.eos_token_id
return n_words, bos_id, eos_id

def model_info(self):
Expand Down