201 lines
5.9 KiB
Markdown
201 lines
5.9 KiB
Markdown
# 本地私有化/大模型接口接入
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依托于开源的 LLM 与 Embedding 模型，本项目可实现基于开源模型的离线私有部署。此外，本项目也支持 OpenAI API 的调用。
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## 本地私有化模型接入
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<br>模型地址配置示例，model_config.py配置修改
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```bash
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# 建议：走huggingface接入，尽量使用chat模型，不要使用base，无法获取正确输出
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# 注意：当llm_model_dict和VLLM_MODEL_DICT同时存在时，优先启动VLLM_MODEL_DICT中的模型配置
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# llm_model_dict 配置接入示例如下
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# 1、若把模型放到 ~/codefuse-chatbot/llm_models 路径下
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# 若模型地址如下
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model_dir: ~/codefuse-chatbot/llm_models/THUDM/chatglm-6b
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# 参考配置如下
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llm_model_dict = {
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"chatglm-6b": {
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"local_model_path": "THUDM/chatglm-6b",
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"api_base_url": "http://localhost:8888/v1", # "name"修改为fastchat服务中的"api_base_url"
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"api_key": "EMPTY"
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}
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}
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VLLM_MODEL_DICT = {
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'chatglm2-6b': "THUDM/chatglm-6b",
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}
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# or 若模型地址如下
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model_dir: ~/codefuse-chatbot/llm_models/chatglm-6b
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llm_model_dict = {
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"chatglm-6b": {
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"local_model_path": "chatglm-6b",
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"api_base_url": "http://localhost:8888/v1", # "name"修改为fastchat服务中的"api_base_url"
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"api_key": "EMPTY"
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}
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}
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VLLM_MODEL_DICT = {
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'chatglm2-6b': "chatglm-6b",
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}
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# 2、若不想移动相关模型到 ~/codefuse-chatbot/llm_models
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# 同时删除 `模型路径重置` 以下的相关代码，具体见model_config.py
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# 若模型地址如下
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model_dir: ~/THUDM/chatglm-6b
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# 参考配置如下
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llm_model_dict = {
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"chatglm-6b": {
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"local_model_path": "your personl dir/THUDM/chatglm-6b",
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"api_base_url": "http://localhost:8888/v1", # "name"修改为fastchat服务中的"api_base_url"
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"api_key": "EMPTY"
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}
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}
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VLLM_MODEL_DICT = {
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'chatglm2-6b': "your personl dir/THUDM/chatglm-6b",
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}
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```
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```bash
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# 3、指定启动的模型服务，两者保持一致
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LLM_MODEL = "chatglm-6b"
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LLM_MODELs = ["chatglm-6b"]
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```
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```bash
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# server_config.py配置修改， 若LLM_MODELS无多个模型配置不需要额外进行设置
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# 修改server_config.py#FSCHAT_MODEL_WORKERS的配置
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"model_name": {'host': DEFAULT_BIND_HOST, 'port': 20057}
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```
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<br>量化模型接入
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```bash
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# 若需要支撑codellama-34b-int4模型，需要给fastchat打一个补丁
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cp examples/gptq.py ~/site-packages/fastchat/modules/gptq.py
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# 若需要支撑qwen-72b-int4模型，需要给fastchat打一个补丁
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cp examples/gptq.py ~/site-packages/fastchat/modules/gptq.py
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# 量化需修改llm_api.py的配置
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# examples/llm_api.py#559 取消注释 kwargs["gptq_wbits"] = 4
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```
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## 公开大模型接口接入
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```bash
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# model_config.py配置修改
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# ONLINE_LLM_MODEL
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# 其它接口开发来自于langchain-chatchat项目，缺少相关账号未经测试
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# 指定启动的模型服务，两者保持一致
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LLM_MODEL = "gpt-3.5-turbo"
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LLM_MODELs = ["gpt-3.5-turbo"]
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```
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外部大模型接口接入示例
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```bash
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# 1、实现新的模型接入类
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# 参考 ~/examples/model_workers/openai.py#ExampleWorker
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# 实现do_chat函数即可使用LLM的能力
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class XXWorker(ApiModelWorker):
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def __init__(
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self,
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*,
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controller_addr: str = None,
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worker_addr: str = None,
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model_names: List[str] = ["gpt-3.5-turbo"],
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version: str = "gpt-3.5",
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**kwargs,
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):
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kwargs.update(model_names=model_names, controller_addr=controller_addr, worker_addr=worker_addr)
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kwargs.setdefault("context_len", 16384) #TODO 16K模型需要改成16384
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super().__init__(**kwargs)
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self.version = version
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def do_chat(self, params: ApiChatParams) -> Dict:
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'''
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执行Chat的方法，默认使用模块里面的chat函数。
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:params.messages : [
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{"role": "user", "content": "hello"},
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{"role": "assistant", "content": "hello"}
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]
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:params.xx: 详情见 ApiChatParams
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要求返回形式：{"error_code": int, "text": str}
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'''
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return {"error_code": 500, "text": f"{self.model_names[0]}未实现chat功能"}
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# 最后在 ~/examples/model_workers/__init__.py 中完成注册
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# from .xx import XXWorker
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# 2、通过已有模型接入类完成接入
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# 或者直接使用已有的相关大模型类进行使用（缺少相关账号测试，欢迎大家测试后提PR）
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```
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```bash
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# model_config.py#ONLINE_LLM_MODEL 配置修改
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# 填写专属模型的 version、api_base_url、api_key、provider（与上述类名一致）
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ONLINE_LLM_MODEL = {
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# 线上模型。请在server_config中为每个在线API设置不同的端口
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"openai-api": {
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"model_name": "gpt-3.5-turbo",
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"api_base_url": "https://api.openai.com/v1",
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"api_key": "",
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"openai_proxy": "",
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},
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"example": {
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"version": "gpt-3.5", # 采用openai接口做示例
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"api_base_url": "https://api.openai.com/v1",
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"api_key": "",
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"provider": "ExampleWorker",
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},
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}
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```
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## 启动大模型服务
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```bash
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# start llm-service（可选） 单独启动大模型服务
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python examples/llm_api.py
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```
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```bash
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# 启动测试
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import openai
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# openai.api_key = "EMPTY" # Not support yet
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openai.api_base = "http://127.0.0.1:8888/v1"
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# 选择你启动的模型
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model = "example"
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# create a chat completion
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completion = openai.ChatCompletion.create(
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model=model,
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messages=[{"role": "user", "content": "Hello! What is your name? "}],
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max_tokens=100,
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)
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# print the completion
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print(completion.choices[0].message.content)
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# 正确输出后则确认LLM可正常接入
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```
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or
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```bash
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# model_config.py#USE_FASTCHAT 判断是否进行fastchat接入本地模型
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USE_FASTCHAT = "gpt" not in LLM_MODEL
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python start.py #221 自动执行 python llm_api.py
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``` |