feat(model): Support Qwen1.5-32B (#1385)

README.md

@@ -158,6 +158,7 @@ At present, we have introduced several key features to showcase our current capa
   We offer extensive model support, including dozens of large language models (LLMs) from both open-source and API agents, such as LLaMA/LLaMA2, Baichuan, ChatGLM, Wenxin, Tongyi, Zhipu, and many more. 
 
   - News
+    - 🔥🔥🔥  [Qwen1.5-32B-Chat](https://huggingface.co/Qwen/Qwen1.5-32B-Chat)
     - 🔥🔥🔥  [Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta)
     - 🔥🔥🔥  [gemma-7b-it](https://huggingface.co/google/gemma-7b-it)
     - 🔥🔥🔥  [gemma-2b-it](https://huggingface.co/google/gemma-2b-it)

README.zh.md

@@ -152,6 +152,7 @@
   海量模型支持，包括开源、API代理等几十种大语言模型。如LLaMA/LLaMA2、Baichuan、ChatGLM、文心、通义、智谱等。当前已支持如下模型: 
 
   - 新增支持模型
+    - 🔥🔥🔥  [Qwen1.5-32B-Chat](https://huggingface.co/Qwen/Qwen1.5-32B-Chat)
     - 🔥🔥🔥  [Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta)
     - 🔥🔥🔥  [gemma-7b-it](https://huggingface.co/google/gemma-7b-it)
     - 🔥🔥🔥  [gemma-2b-it](https://huggingface.co/google/gemma-2b-it)

dbgpt/configs/model_config.py

@@ -99,6 +99,13 @@ LLM_MODEL_CONFIG = {
     "qwen-1.8b-chat-int8": os.path.join(MODEL_PATH, "wen-1_8B-Chat-Int8"),
     # https://huggingface.co/Qwen/Qwen-1_8B-Chat-Int4
     "qwen-1.8b-chat-int4": os.path.join(MODEL_PATH, "Qwen-1_8B-Chat-Int4"),
+    # https://huggingface.co/Qwen/Qwen1.5-1.8B-Chat
+    "qwen1.5-1.8b-chat": os.path.join(MODEL_PATH, "Qwen1.5-1.8B-Chat"),
+    "qwen1.5-7b-chat": os.path.join(MODEL_PATH, "Qwen1.5-7B-Chat"),
+    "qwen1.5-14b-chat": os.path.join(MODEL_PATH, "Qwen1.5-14B-Chat"),
+    # https://huggingface.co/Qwen/Qwen1.5-32B-Chat
+    "qwen1.5-32b-chat": os.path.join(MODEL_PATH, "Qwen1.5-32B-Chat"),
+    "qwen1.5-72b-chat": os.path.join(MODEL_PATH, "Qwen1.5-72B-Chat"),
     # (Llama2 based) We only support WizardLM-13B-V1.2 for now, which is trained from Llama-2 13b, see https://huggingface.co/WizardLM/WizardLM-13B-V1.2
     "wizardlm-13b": os.path.join(MODEL_PATH, "WizardLM-13B-V1.2"),
     # wget https://huggingface.co/TheBloke/vicuna-13B-v1.5-GGUF/resolve/main/vicuna-13b-v1.5.Q4_K_M.gguf -O models/ggml-model-q4_0.gguf

dbgpt/model/adapter/hf_adapter.py

@@ -246,8 +246,33 @@ class StarlingLMAdapter(NewHFChatModelAdapter):
         return str_prompt
 
 
+class QwenAdapter(NewHFChatModelAdapter):
+    """
+    https://huggingface.co/Qwen/Qwen1.5-32B-Chat
+
+    TODO: There are problems with quantization.
+    """
+
+    support_4bit: bool = True
+    support_8bit: bool = False  # TODO: Support 8bit quantization
+
+    def check_transformer_version(self, current_version: str) -> None:
+        if not current_version >= "4.37.0":
+            raise ValueError(
+                "Qwen 1.5 require transformers.__version__>=4.37.0, please upgrade your transformers package."
+            )
+
+    def do_match(self, lower_model_name_or_path: Optional[str] = None):
+        return (
+            lower_model_name_or_path
+            and "qwen" in lower_model_name_or_path
+            and "1.5" in lower_model_name_or_path
+        )
+
+
 register_model_adapter(YiAdapter)
 register_model_adapter(Mixtral8x7BAdapter)
 register_model_adapter(SOLARAdapter)
 register_model_adapter(GemmaAdapter)
 register_model_adapter(StarlingLMAdapter)
+register_model_adapter(QwenAdapter)

dbgpt/util/date_utils.py

@@ -6,6 +6,7 @@ def is_datetime(value):
 
 
 def convert_datetime_in_row(row):
-    return [value.strftime('%Y-%m-%d %H:%M:%S') if is_datetime(value)
-            else value for value in row]
-
+    return [
+        value.strftime("%Y-%m-%d %H:%M:%S") if is_datetime(value) else value
+        for value in row
+    ]

requirements/dev-requirements.txt

@@ -13,4 +13,5 @@ aioresponses
 # for git hooks
 pre-commit
 # Type checking
-mypy==1.7.0
+mypy==1.7.0
+httpx==0.26.0