136 lines
4.0 KiB
Python
136 lines
4.0 KiB
Python
|
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" if sys.platform != "win32" else "127.0.0.1"
|
|||
|
|
|
|||
|
|
# webui.py server
|
|||
|
|
WEBUI_SERVER = {
|
|||
|
|
"host": DEFAULT_BIND_HOST,
|
|||
|
|
"port": 8501,
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
# api.py server
|
|||
|
|
API_SERVER = {
|
|||
|
|
"host": DEFAULT_BIND_HOST,
|
|||
|
|
"port": 7861,
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
# fastchat openai_api server
|
|||
|
|
FSCHAT_OPENAI_API = {
|
|||
|
|
"host": DEFAULT_BIND_HOST,
|
|||
|
|
"port": 20000,
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
# 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-name xxxx yyyy`指定模型，不指定则为LLM_MODELS
|
|||
|
|
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": 20002,
|
|||
|
|
"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
|
|||
|
|
# vllm对一些模型支持还不成熟，暂时默认关闭
|
|||
|
|
"infer_turbo": 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_MODELS,
|
|||
|
|
# "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",
|
|||
|
|
# },
|
|||
|
|
|
|||
|
|
#以下配置可以不用修改，在model_config中设置启动的模型
|
|||
|
|
"zhipu-api": {
|
|||
|
|
"port": 21001,
|
|||
|
|
},
|
|||
|
|
"minimax-api": {
|
|||
|
|
"port": 21002,
|
|||
|
|
},
|
|||
|
|
"xinghuo-api": {
|
|||
|
|
"port": 21003,
|
|||
|
|
},
|
|||
|
|
"qianfan-api": {
|
|||
|
|
"port": 21004,
|
|||
|
|
},
|
|||
|
|
"fangzhou-api": {
|
|||
|
|
"port": 21005,
|
|||
|
|
},
|
|||
|
|
"qwen-api": {
|
|||
|
|
"port": 21006,
|
|||
|
|
},
|
|||
|
|
"baichuan-api": {
|
|||
|
|
"port": 21007,
|
|||
|
|
},
|
|||
|
|
"azure-api": {
|
|||
|
|
"port": 21008,
|
|||
|
|
},
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
# fastchat multi model worker server
|
|||
|
|
FSCHAT_MULTI_MODEL_WORKERS = {
|
|||
|
|
# TODO:
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
# fastchat controller server
|
|||
|
|
FSCHAT_CONTROLLER = {
|
|||
|
|
"host": DEFAULT_BIND_HOST,
|
|||
|
|
"port": 20001,
|
|||
|
|
"dispatch_method": "shortest_queue",
|
|||
|
|
}
|