(chatchat) PS D:\Langchain-Chatchat> python startup.py --all-webui


==============================Langchain-Chatchat Configuration==============================
操作系统：Windows-10-10.0.23555-SP0.
python版本：3.10.13 | packaged by Anaconda, Inc. | (main, Sep 11 2023, 13:24:38) [MSC v.1916 64 bit (AMD64)]
项目版本：v0.2.5
langchain版本：0.0.314. fastchat版本：0.2.29


当前使用的分词器：ChineseRecursiveTextSplitter
当前启动的LLM模型：['chatglm2-6b'] @ cuda
{'device': 'cuda',
 'host': '0.0.0.0',
 'infer_turbo': False,
 'model_path': 'D:\\ChatGLM2-6B\\THUDM\\chatglm2-6b',
 'port': 20002}
当前Embbedings模型： m3e-base @ cuda
==============================Langchain-Chatchat Configuration==============================


2023-10-15 19:18:56 | INFO | root | 正在启动服务：
2023-10-15 19:18:56 | INFO | root | 如需查看 llm_api 日志，请前往 D:\Langchain-Chatchat\logs
2023-10-15 19:19:02 | ERROR | stderr | INFO:     Started server process [9036]
2023-10-15 19:19:02 | ERROR | stderr | INFO:     Waiting for application startup.
2023-10-15 19:19:02 | ERROR | stderr | INFO:     Application startup complete.
2023-10-15 19:19:02 | ERROR | stderr | INFO:     Uvicorn running on http://0.0.0.0:20000 (Press CTRL+C to quit)
Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 7/7 [00:12<00:00,  1.80s/it]
Process model_worker - chatglm2-6b:
Traceback (most recent call last):
  File "L:\Anaconda\envs\chatchat\lib\site-packages\urllib3\connection.py", line 174, in _new_conn
    conn = connection.create_connection(
  File "L:\Anaconda\envs\chatchat\lib\site-packages\urllib3\util\connection.py", line 95, in create_connection
    raise err
  File "L:\Anaconda\envs\chatchat\lib\site-packages\urllib3\util\connection.py", line 85, in create_connection
    sock.connect(sa)
OSError: [WinError 10049] 在其上下文中，该请求的地址无效。

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "L:\Anaconda\envs\chatchat\lib\site-packages\urllib3\connectionpool.py", line 714, in urlopen
    httplib_response = self._make_request(
  File "L:\Anaconda\envs\chatchat\lib\site-packages\urllib3\connectionpool.py", line 415, in _make_request
    conn.request(method, url, **httplib_request_kw)
  File "L:\Anaconda\envs\chatchat\lib\site-packages\urllib3\connection.py", line 244, in request
    super(HTTPConnection, self).request(method, url, body=body, headers=headers)
  File "L:\Anaconda\envs\chatchat\lib\http\client.py", line 1283, in request
    self._send_request(method, url, body, headers, encode_chunked)
  File "L:\Anaconda\envs\chatchat\lib\http\client.py", line 1329, in _send_request
    self.endheaders(body, encode_chunked=encode_chunked)
  File "L:\Anaconda\envs\chatchat\lib\http\client.py", line 1278, in endheaders
    self._send_output(message_body, encode_chunked=encode_chunked)
  File "L:\Anaconda\envs\chatchat\lib\http\client.py", line 1038, in _send_output
    self.send(msg)
  File "L:\Anaconda\envs\chatchat\lib\http\client.py", line 976, in send
    self.connect()
  File "L:\Anaconda\envs\chatchat\lib\site-packages\urllib3\connection.py", line 205, in connect
    conn = self._new_conn()
  File "L:\Anaconda\envs\chatchat\lib\site-packages\urllib3\connection.py", line 186, in _new_conn
    raise NewConnectionError(
urllib3.exceptions.NewConnectionError: <urllib3.connection.HTTPConnection object at 0x00000254FFC89930>: Failed to establish a new connection: [WinError 10049] 在其上下文中，该请求的地址无效。

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "L:\Anaconda\envs\chatchat\lib\site-packages\requests\adapters.py", line 486, in send
    resp = conn.urlopen(
  File "L:\Anaconda\envs\chatchat\lib\site-packages\urllib3\connectionpool.py", line 798, in urlopen
    retries = retries.increment(
  File "L:\Anaconda\envs\chatchat\lib\site-packages\urllib3\util\retry.py", line 592, in increment
    raise MaxRetryError(_pool, url, error or ResponseError(cause))
urllib3.exceptions.MaxRetryError: HTTPConnectionPool(host='0.0.0.0', port=20001): Max retries exceeded with url: /register_worker (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x00000254FFC89930>: Failed to establish a new connection: [WinError 10049] 在其上下文中，该请求的地址无效。'))

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "L:\Anaconda\envs\chatchat\lib\multiprocessing\process.py", line 314, in _bootstrap
    self.run()
  File "L:\Anaconda\envs\chatchat\lib\multiprocessing\process.py", line 108, in run
    self._target(*self._args, **self._kwargs)
  File "D:\Langchain-Chatchat\startup.py", line 366, in run_model_worker
    app = create_model_worker_app(log_level=log_level, **kwargs)
  File "D:\Langchain-Chatchat\startup.py", line 194, in create_model_worker_app
    worker = ModelWorker(
  File "L:\Anaconda\envs\chatchat\lib\site-packages\fastchat\serve\model_worker.py", line 242, in __init__
    self.init_heart_beat()
  File "L:\Anaconda\envs\chatchat\lib\site-packages\fastchat\serve\model_worker.py", line 101, in init_heart_beat
    self.register_to_controller()
  File "L:\Anaconda\envs\chatchat\lib\site-packages\fastchat\serve\model_worker.py", line 118, in register_to_controller
    r = requests.post(url, json=data)
  File "L:\Anaconda\envs\chatchat\lib\site-packages\requests\api.py", line 115, in post
    return request("post", url, data=data, json=json, **kwargs)
  File "L:\Anaconda\envs\chatchat\lib\site-packages\requests\api.py", line 59, in request
    return session.request(method=method, url=url, **kwargs)
  File "L:\Anaconda\envs\chatchat\lib\site-packages\requests\sessions.py", line 589, in request
    resp = self.send(prep, **send_kwargs)
  File "L:\Anaconda\envs\chatchat\lib\site-packages\requests\sessions.py", line 703, in send
    r = adapter.send(request, **kwargs)
  File "L:\Anaconda\envs\chatchat\lib\site-packages\requests\adapters.py", line 519, in send
    raise ConnectionError(e, request=request)
requests.exceptions.ConnectionError: HTTPConnectionPool(host='0.0.0.0', port=20001): Max retries exceeded with url: /register_worker (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x00000254FFC89930>: Failed to establish a new connection: [WinError 10049] 在其上下文中，该请求的地址无效。'))

怀疑是IP地址或端口号的问题，修改server_config.py如下：

import sys
from configs.model_config import LLM_DEVICE

# httpx 请求默认超时时间（秒）。如果加载模型或对话较慢，出现超时错误，可以适当加大该值。
HTTPX_DEFAULT_TIMEOUT = 300.0

# API 是否开启跨域，默认为False，如果需要开启，请设置为True
# is open cross domain
OPEN_CROSS_DOMAIN = False

# 各服务器默认绑定host。如改为"0.0.0.0"需要修改下方所有XX_SERVER的host
#DEFAULT_BIND_HOST = "0.0.0.0"
DEFAULT_BIND_HOST = "127.0.0.1"

# webui.py server
WEBUI_SERVER = {
    "host": DEFAULT_BIND_HOST,
    "port": 5551,
}

# api.py server
API_SERVER = {
    "host": DEFAULT_BIND_HOST,
    "port": 5552,
}

# fastchat openai_api server
FSCHAT_OPENAI_API = {
    "host": DEFAULT_BIND_HOST,
    "port": 5553,
}

# fastchat model_worker server
# 这些模型必须是在model_config.MODEL_PATH或ONLINE_MODEL中正确配置的。
# 在启动startup.py时，可用通过`--model-worker --model-name xxxx`指定模型，不指定则为LLM_MODEL
FSCHAT_MODEL_WORKERS = {
    # 所有模型共用的默认配置，可在模型专项配置中进行覆盖。
    "default": {
        "host": DEFAULT_BIND_HOST,
        "port": 5554,
        "device": LLM_DEVICE,
        # False,'vllm',使用的推理加速框架,使用vllm如果出现HuggingFace通信问题，参见doc/FAQ
        "infer_turbo": "vllm" if sys.platform.startswith("linux") else False,

        # model_worker多卡加载需要配置的参数
        # "gpus": None, # 使用的GPU，以str的格式指定，如"0,1"，如失效请使用CUDA_VISIBLE_DEVICES="0,1"等形式指定
        # "num_gpus": 1, # 使用GPU的数量
        # "max_gpu_memory": "20GiB", # 每个GPU占用的最大显存

        # 以下为model_worker非常用参数，可根据需要配置
        # "load_8bit": False, # 开启8bit量化
        # "cpu_offloading": None,
        # "gptq_ckpt": None,
        # "gptq_wbits": 16,
        # "gptq_groupsize": -1,
        # "gptq_act_order": False,
        # "awq_ckpt": None,
        # "awq_wbits": 16,
        # "awq_groupsize": -1,
        # "model_names": [LLM_MODEL],
        # "conv_template": None,
        # "limit_worker_concurrency": 5,
        # "stream_interval": 2,
        # "no_register": False,
        # "embed_in_truncate": False,

        # 以下为vllm_woker配置参数,注意使用vllm必须有gpu，仅在Linux测试通过

        # tokenizer = model_path # 如果tokenizer与model_path不一致在此处添加
        # 'tokenizer_mode':'auto',
        # 'trust_remote_code':True,
        # 'download_dir':None,
        # 'load_format':'auto',
        # 'dtype':'auto',
        # 'seed':0,
        # 'worker_use_ray':False,
        # 'pipeline_parallel_size':1,
        # 'tensor_parallel_size':1,
        # 'block_size':16,
        # 'swap_space':4 , # GiB
        # 'gpu_memory_utilization':0.90,
        # 'max_num_batched_tokens':2560,
        # 'max_num_seqs':256,
        # 'disable_log_stats':False,
        # 'conv_template':None,
        # 'limit_worker_concurrency':5,
        # 'no_register':False,
        # 'num_gpus': 1
        # 'engine_use_ray': False,
        # 'disable_log_requests': False

    },
    # 可以如下示例方式更改默认配置
    # "baichuan-7b": { # 使用default中的IP和端口
    #    "device": "cpu",
    # },

    #"zhipu-api": { # 请为每个要运行的在线API设置不同的端口
    #    "port": 21001,
    #},
    #"minimax-api": {
    #    "port": 21002,
    #},
    #"xinghuo-api": {
    #    "port": 21003,
    #},
    #"qianfan-api": {
    #    "port": 21004,
    #},
    #"fangzhou-api": {
    #    "port": 21005,
    #},
    #"qwen-api": {
    #    "port": 21006,
    #},
}

# fastchat multi model worker server
FSCHAT_MULTI_MODEL_WORKERS = {
    # TODO:
}

# fastchat controller server
FSCHAT_CONTROLLER = {
    "host": DEFAULT_BIND_HOST,
    "port": 5555,
    "dispatch_method": "shortest_queue",
}

第1个大模型：ChatGLM2-6B

第2个大模型：通义千问7B（Int4量化）-暂时失败

LLM_MODEL = "Qwen-7B-Chat-Int4"
"Qwen-7B-Chat-Int4":"D:\Qwen\Qwen\Qwen-7B-Chat-Int4",

启动：python startup.py --all-webui

需要安装量化库。

pip install optimum

pip install auto-gptq

再启动：python startup.py --all-webui

不好，貌似triton没有windows版本？!

pip install triton

看来无法运行量化后的模型。

第3个大模型：Chinese-LLaMA-Alpaca-2

LLM_MODEL = "chinese-alpaca-2-7b"
" chinese-alpaca-2-7b":"D:\llama.cpp\models2\chinese-alpaca-2-7b-hf"

启动：python startup.py --all-webui

浏览器打开

http://127.0.0.1:5551

回答得有点奇怪。

ChatChat还可以切换模型：

第4个大模型：vicuna-7b-v1.3

LLM_MODEL = "vicuna-7b-v1.3"
"vicuna-7b-v1.3":"D:\\vicuna-7b-v1.3",

注意，路径最好加两个反斜杠。

启动：python startup.py --all-webui

为啥它自称GPT4？

第5个大模型：通义千问7B

LLM_MODEL = "Qwen-7B-Chat"
"Qwen-7B-Chat":"D:\models\Qwen\Qwen-7B-Chat",

启动：python startup.py --all-webui

看来不量化的通义千问是可以成功运行的。

第6个大模型：悟道天鹰

LLM_MODEL = "aquila-7b"
"aquila-7b":"D:\\models\\BAAI\\Aquila-7B",

启动：python startup.py --all-webui

第7个大模型：百川大模型

LLM_MODEL = "baichuan-7b-chat"
"baichuan-7b-chat":"D:\\models\\baichuan-inc\\Baichuan2-7B-Chat",

切换到 chatchat conda环境：

启动：python startup.py --all-webui

以上就完成了在LangChain-ChatChat上的6个大模型。

（全文完，谢谢阅读）