fix baichuan template

Former-commit-id: 9c6dd1051417c91074daa7dd6ed6cc53448135ad

src/llmtuner/dsets/preprocess.py

@@ -1,3 +1,4 @@
+import tiktoken
 from typing import TYPE_CHECKING, Any, Dict, Generator, List, Literal
 from itertools import chain
 
@@ -31,10 +32,11 @@ def preprocess_dataset(
 
     def preprocess_pretrain_dataset(examples: Dict[str, List[Any]]) -> Dict[str, Any]:
         # build grouped texts with format `X1 X2 X3 ...` (without <eos>)
-        if hasattr(tokenizer, "tokenizer"): # for tiktoken tokenizer (Qwen)
+        if isinstance(getattr(tokenizer, "tokenizer"), tiktoken.Encoding): # for tiktoken tokenizer (Qwen)
             kwargs = dict(allowed_special="all")
         else:
             kwargs = dict(add_special_tokens=False)
+
         tokenized_examples = tokenizer(examples["prompt"], **kwargs)
         concatenated_examples = {k: list(chain(*tokenized_examples[k])) for k in tokenized_examples.keys()}
         total_length = len(concatenated_examples[list(concatenated_examples.keys())[0]])

src/llmtuner/extras/template.py

@@ -1,5 +1,6 @@
-from typing import TYPE_CHECKING, Dict, List, Optional, Tuple, Union
+import tiktoken
 from dataclasses import dataclass
+from typing import TYPE_CHECKING, Dict, List, Optional, Tuple, Union
 
 from llmtuner.extras.logging import get_logger
 
@@ -122,7 +123,7 @@ class Template:
         r"""
         Converts context to token ids.
         """
-        if hasattr(tokenizer, "tokenizer"): # for tiktoken tokenizer (Qwen)
+        if isinstance(getattr(tokenizer, "tokenizer"), tiktoken.Encoding): # for tiktoken tokenizer (Qwen)
             kwargs = dict(allowed_special="all")
         else:
             kwargs = dict(add_special_tokens=False)
@@ -428,14 +429,16 @@ Supports: https://huggingface.co/baichuan-inc/Baichuan-13B-Chat
 """
 register_template(
     name="baichuan",
-    prefix=[],
+    prefix=[
+        {"token": "<reserved_102>"} # user token (a little difference in the first turn)
+    ],
     prompt=[
-        {"token": "<reserved_102>"}, # user token (a little difference in position)
+        "{{query}}",
-        "{{query}}"
+        {"token": "<reserved_103>"} # assistant token
     ],
     sep=[],
     stop_words=[
-        "<reserved_103>" # assistant token
+        {"token": "<reserved_102>"} # user token
     ],
     use_history=True
 )