Refactor HuggingFace model initialization to include base model name …

…and update tokenizer logic (#190)

src/agentlab/llm/chat_api.py

@@ -406,13 +406,14 @@ class HuggingFaceURLChatModel(HFBaseChatModel):
     def __init__(
         self,
         model_name: str,
+        base_model_name: str,
         model_url: str,
         token: Optional[str] = None,
         temperature: Optional[int] = 1e-1,
         max_new_tokens: Optional[int] = 512,
         n_retry_server: Optional[int] = 4,
     ):
-        super().__init__(model_name, n_retry_server)
+        super().__init__(model_name, base_model_name, n_retry_server)
         if temperature < 1e-3:
             logging.warning("Models might behave weirdly when temperature is too low.")
         self.temperature = temperature

src/agentlab/llm/huggingface_utils.py

@@ -40,14 +40,17 @@ class HFBaseChatModel(AbstractChatModel):
         description="The number of times to retry the server if it fails to respond",
     )
 
-    def __init__(self, model_name, n_retry_server):
+    def __init__(self, model_name, base_model_name, n_retry_server):
         super().__init__()
         self.n_retry_server = n_retry_server
 
-        self.tokenizer = AutoTokenizer.from_pretrained(model_name)
+        if base_model_name is None:
+            self.tokenizer = AutoTokenizer.from_pretrained(model_name)
+        else:
+            self.tokenizer = AutoTokenizer.from_pretrained(base_model_name)
         if isinstance(self.tokenizer, GPT2TokenizerFast):
             logging.warning(
-                f"No chat template is defined for {model_name}. Resolving to the hard-coded templates."
+                f"No chat template is defined for {base_model_name}. Resolving to the hard-coded templates."
             )
             self.tokenizer = None
             self.prompt_template = get_prompt_template(model_name)