[Misc] Remove vLLM patch of BaichuanTokenizer

vllm/transformers_utils/tokenizer.py

@@ -11,8 +11,7 @@
 from vllm.envs import VLLM_USE_MODELSCOPE
 from vllm.logger import init_logger
 from vllm.lora.request import LoRARequest
-from vllm.transformers_utils.tokenizers import (BaichuanTokenizer,
-                                                MistralTokenizer)
+from vllm.transformers_utils.tokenizers import MistralTokenizer
 from vllm.transformers_utils.utils import check_gguf_file
 from vllm.utils import make_async
 
@@ -139,19 +138,6 @@ def get_tokenizer(
                 raise RuntimeError(err_msg) from e
             else:
                 raise e
-        except AttributeError as e:
-            if "BaichuanTokenizer" in str(e):
-                # This is for the error "'BaichuanTokenizer' object has no
-                # attribute 'sp_model'".
-                tokenizer = BaichuanTokenizer.from_pretrained(
-                    tokenizer_name,
-                    *args,
-                    trust_remote_code=trust_remote_code,
-                    revision=revision,
-                    **kwargs,
-                )
-            else:
-                raise e
 
         # NOTE: We can remove this after https://github.com/THUDM/ChatGLM3/issues/1324
         if type(tokenizer).__name__ in ("ChatGLMTokenizer",

vllm/transformers_utils/tokenizers/__init__.py

@@ -1,4 +1,3 @@
-from vllm.transformers_utils.tokenizers.baichuan import BaichuanTokenizer
-from vllm.transformers_utils.tokenizers.mistral import MistralTokenizer
+from .mistral import MistralTokenizer
 
-__all__ = ["BaichuanTokenizer", "MistralTokenizer"]
+__all__ = ["MistralTokenizer"]