Add Mistral AI instruction template

fastchat/conversation.py

@@ -840,6 +840,19 @@ def get_conv_template(name: str) -> Conversation:
     )
 )
 
+# Mistral template
+# source: https://docs.mistral.ai/llm/mistral-instruct-v0.1#chat-template
+register_conv_template(
+    Conversation(
+        name="mistral",
+        system_template="",
+        roles=("[INST] ", " [/INST]"),
+        sep_style=SeparatorStyle.LLAMA2,
+        sep="",
+        sep2=" </s>",
+    )
+)
+
 # llama2 template
 # reference: https://huggingface.co/blog/codellama#conversational-instructions
 # reference: https://github.com/facebookresearch/llama/blob/1a240688810f8036049e8da36b073f63d2ac552c/llama/generation.py#L212

fastchat/model/model_adapter.py

@@ -1256,6 +1256,22 @@ def get_default_conv_template(self, model_path: str) -> Conversation:
         return get_conv_template("starchat")
 
 
+class MistralAdapter(BaseModelAdapter):
+    """The model adapter for Mistral AI models"""
+
+    def match(self, model_path: str):
+        return "mistral" in model_path.lower()
+
+    def load_model(self, model_path: str, from_pretrained_kwargs: dict):
+        model, tokenizer = super().load_model(model_path, from_pretrained_kwargs)
+        model.config.eos_token_id = tokenizer.eos_token_id
+        model.config.pad_token_id = tokenizer.pad_token_id
+        return model, tokenizer
+
+    def get_default_conv_template(self, model_path: str) -> Conversation:
+        return get_conv_template("mistral")
+
+
 class Llama2Adapter(BaseModelAdapter):
     """The model adapter for Llama-2 (e.g., meta-llama/Llama-2-7b-hf)"""
 
@@ -1653,6 +1669,7 @@ def get_default_conv_template(self, model_path: str) -> Conversation:
 register_model_adapter(InternLMChatAdapter)
 register_model_adapter(StarChatAdapter)
 register_model_adapter(Llama2Adapter)
+register_model_adapter(MistralAdapter)
 register_model_adapter(CuteGPTAdapter)
 register_model_adapter(OpenOrcaAdapter)
 register_model_adapter(WizardCoderAdapter)