feat(model) Support the DB-GPT-Hub trained mode (#760)

Close #745
Support the DB-GPT-Hub trained model, codellama series .

pilot/configs/model_config.py

@@ -78,6 +78,10 @@ LLM_MODEL_CONFIG = {
     "internlm-7b": os.path.join(MODEL_PATH, "internlm-chat-7b"),
     "internlm-7b-8k": os.path.join(MODEL_PATH, "internlm-chat-7b-8k"),
     "internlm-20b": os.path.join(MODEL_PATH, "internlm-chat-20b"),
+    "codellama-7b": os.path.join(MODEL_PATH, "CodeLlama-7b-Instruct-hf"),
+    "codellama-7b-sql-sft": os.path.join(MODEL_PATH, "codellama-7b-sql-sft"),
+    "codellama-13b": os.path.join(MODEL_PATH, "CodeLlama-13b-Instruct-hf"),
+    "codellama-13b-sql-sft": os.path.join(MODEL_PATH, "codellama-13b-sql-sft"),
     # For test now
     "opt-125m": os.path.join(MODEL_PATH, "opt-125m"),
 }

pilot/model/adapter.py

@@ -320,6 +320,19 @@ class Llama2Adapter(BaseLLMAdaper):
         return model, tokenizer
 
 
+class CodeLlamaAdapter(BaseLLMAdaper):
+    """The model adapter for codellama"""
+
+    def match(self, model_path: str):
+        return "codellama" in model_path.lower()
+
+    def loader(self, model_path: str, from_pretrained_kwargs: dict):
+        model, tokenizer = super().loader(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
+
+
 class BaichuanAdapter(BaseLLMAdaper):
     """The model adapter for Baichuan models (e.g., baichuan-inc/Baichuan-13B-Chat)"""
 
@@ -420,6 +433,7 @@ register_llm_model_adapters(FalconAdapater)
 register_llm_model_adapters(GorillaAdapter)
 register_llm_model_adapters(GPT4AllAdapter)
 register_llm_model_adapters(Llama2Adapter)
+register_llm_model_adapters(CodeLlamaAdapter)
 register_llm_model_adapters(BaichuanAdapter)
 register_llm_model_adapters(WizardLMAdapter)
 register_llm_model_adapters(LlamaCppAdapater)

pilot/model/conversation.py

@@ -339,6 +339,27 @@ register_conv_template(
     )
 )
 
+
+# codellama template
+# reference: https://github.com/facebookresearch/llama/blob/cfc3fc8c1968d390eb830e65c63865e980873a06/llama/generation.py#L212
+# reference2 : https://github.com/eosphoros-ai/DB-GPT-Hub/blob/main/README.zh.md
+register_conv_template(
+    Conversation(
+        name="codellama",
+        system="<s>[INST] <<SYS>>\nI want you to act as a SQL terminal in front of an example database, you need only to return the sql command to me.Below is an instruction that describes a task, Write a response that appropriately completes the request."
+        "If you don't know the answer to the request, please don't share false information.\n<</SYS>>\n\n",
+        roles=("[INST]", "[/INST]"),
+        messages=(),
+        offset=0,
+        sep_style=SeparatorStyle.LLAMA2,
+        sep=" ",
+        sep2=" </s><s>",
+        stop_token_ids=[2],
+        system_formatter=lambda msg: f"<s>[INST] <<SYS>>\n{msg}\n<</SYS>>\n\n",
+    )
+)
+
+
 # Alpaca default template
 register_conv_template(
     Conversation(

pilot/model/model_adapter.py

@@ -45,6 +45,10 @@ _OLD_MODELS = [
     "llama-cpp",
     "proxyllm",
     "gptj-6b",
+    "codellama-13b-sql-sft",
+    "codellama-7b",
+    "codellama-7b-sql-sft",
+    "codellama-13b",
 ]
 
 
@@ -148,8 +152,12 @@ class LLMModelAdaper:
                 conv.append_message(conv.roles[1], content)
             else:
                 raise ValueError(f"Unknown role: {role}")
+
         if system_messages:
-            conv.set_system_message("".join(system_messages))
+            if isinstance(conv, Conversation):
+                conv.set_system_message("".join(system_messages))
+            else:
+                conv.update_system_message("".join(system_messages))
 
         # Add a blank message for the assistant.
         conv.append_message(conv.roles[1], None)

pilot/server/chat_adapter.py

@@ -215,6 +215,16 @@ class Llama2ChatAdapter(BaseChatAdpter):
         return get_conv_template("llama-2")
 
 
+class CodeLlamaChatAdapter(BaseChatAdpter):
+    """The model ChatAdapter for codellama ."""
+
+    def match(self, model_path: str):
+        return "codellama" in model_path.lower()
+
+    def get_conv_template(self, model_path: str) -> Conversation:
+        return get_conv_template("codellama")
+
+
 class BaichuanChatAdapter(BaseChatAdpter):
     def match(self, model_path: str):
         return "baichuan" in model_path.lower()
@@ -268,6 +278,7 @@ register_llm_model_chat_adapter(FalconChatAdapter)
 register_llm_model_chat_adapter(GorillaChatAdapter)
 register_llm_model_chat_adapter(GPT4AllChatAdapter)
 register_llm_model_chat_adapter(Llama2ChatAdapter)
+register_llm_model_chat_adapter(CodeLlamaChatAdapter)
 register_llm_model_chat_adapter(BaichuanChatAdapter)
 register_llm_model_chat_adapter(WizardLMChatAdapter)
 register_llm_model_chat_adapter(LlamaCppChatAdapter)