import os # 可以指定一个绝对路径，统一存放所有的Embedding和LLM模型。 # 每个模型可以是一个单独的目录，也可以是某个目录下的二级子目录。 # 如果模型目录名称和 MODEL_PATH 中的 key 或 value 相同，程序会自动检测加载，无需修改 MODEL_PATH 中的路径。 MODEL_ROOT_PATH = "" # 选用的 Embedding 名称 EMBEDDING_MODEL = "bge-large-zh-v1.5" # Embedding 模型运行设备。设为 "auto" 会自动检测(会有警告)，也可手动设定为 "cuda","mps","cpu","xpu" 其中之一。 EMBEDDING_DEVICE = "auto" # 选用的reranker模型 RERANKER_MODEL = "bge-reranker-large" # 是否启用reranker模型 USE_RERANKER = False RERANKER_MAX_LENGTH = 1024 # 如果需要在 EMBEDDING_MODEL 中增加自定义的关键字时配置 EMBEDDING_KEYWORD_FILE = "keywords.txt" EMBEDDING_MODEL_OUTPUT_PATH = "output" # 要运行的 LLM 名称，可以包括本地模型和在线模型。列表中本地模型将在启动项目时全部加载。 # 列表中第一个模型将作为 API 和 WEBUI 的默认模型。 # 在这里，我们使用目前主流的两个离线模型，其中，chatglm3-6b 为默认加载模型。 # 如果你的显存不足，可使用 Qwen-1_8B-Chat, 该模型 FP16 仅需 3.8G显存。 LLM_MODELS = ["chatglm3-6b", "zhipu-api", "openai-api"] Agent_MODEL = None # LLM 模型运行设备。设为"auto"会自动检测(会有警告)，也可手动设定为 "cuda","mps","cpu","xpu" 其中之一。 LLM_DEVICE = "auto" HISTORY_LEN = 3 MAX_TOKENS = 2048 TEMPERATURE = 0.7 ONLINE_LLM_MODEL = { "openai-api": { "model_name": "gpt-4", "api_base_url": "https://api.openai.com/v1", "api_key": "", "openai_proxy": "", }, # 智谱AI API,具体注册及api key获取请前往 http://open.bigmodel.cn "zhipu-api": { "api_key": "", "version": "glm-4", "provider": "ChatGLMWorker", }, # 具体注册及api key获取请前往 https://api.minimax.chat/ "minimax-api": { "group_id": "", "api_key": "", "is_pro": False, "provider": "MiniMaxWorker", }, # 具体注册及api key获取请前往 https://xinghuo.xfyun.cn/ "xinghuo-api": { "APPID": "", "APISecret": "", "api_key": "", "version": "v3.0", # 你使用的讯飞星火大模型版本，可选包括 "v3.0", "v2.0", "v1.5" "provider": "XingHuoWorker", }, # 百度千帆 API，申请方式请参考 https://cloud.baidu.com/doc/WENXINWORKSHOP/s/4lilb2lpf "qianfan-api": { "version": "ERNIE-Bot", # 注意大小写。当前支持 "ERNIE-Bot" 或 "ERNIE-Bot-turbo"， 更多的见官方文档。 "version_url": "", # 也可以不填写version，直接填写在千帆申请模型发布的API地址 "api_key": "", "secret_key": "", "provider": "QianFanWorker", }, # 火山方舟 API，文档参考 https://www.volcengine.com/docs/82379 "fangzhou-api": { "version": "chatglm-6b-model", "version_url": "", "api_key": "", "secret_key": "", "provider": "FangZhouWorker", }, # 阿里云通义千问 API，文档参考 https://help.aliyun.com/zh/dashscope/developer-reference/api-details "qwen-api": { "version": "qwen-max", "api_key": "", "provider": "QwenWorker", "embed_model": "text-embedding-v1" # embedding 模型名称 }, # 百川 API，申请方式请参考 https://www.baichuan-ai.com/home#api-enter "baichuan-api": { "version": "Baichuan2-53B", "api_key": "", "secret_key": "", "provider": "BaiChuanWorker", }, # Azure API "azure-api": { "deployment_name": "", # 部署容器的名字 "resource_name": "", # https://{resource_name}.openai.azure.com/openai/ 填写resource_name的部分，其他部分不要填写 "api_version": "", # API的版本，不是模型版本 "api_key": "", "provider": "AzureWorker", }, # 昆仑万维天工 API https://model-platform.tiangong.cn/ "tiangong-api": { "version": "SkyChat-MegaVerse", "api_key": "", "secret_key": "", "provider": "TianGongWorker", }, # Gemini API https://makersuite.google.com/app/apikey "gemini-api": { "api_key": "", "provider": "GeminiWorker", } } # 在以下字典中修改属性值，以指定本地embedding模型存储位置。支持3种设置方法： # 1、将对应的值修改为模型绝对路径 # 2、不修改此处的值（以 text2vec 为例）： # 2.1 如果{MODEL_ROOT_PATH}下存在如下任一子目录： # - text2vec # - GanymedeNil/text2vec-large-chinese # - text2vec-large-chinese # 2.2 如果以上本地路径不存在，则使用huggingface模型 MODEL_PATH = { "embed_model": { "ernie-tiny": "nghuyong/ernie-3.0-nano-zh", "ernie-base": "nghuyong/ernie-3.0-base-zh", "text2vec-base": "shibing624/text2vec-base-chinese", "text2vec": "GanymedeNil/text2vec-large-chinese", "text2vec-paraphrase": "shibing624/text2vec-base-chinese-paraphrase", "text2vec-sentence": "shibing624/text2vec-base-chinese-sentence", "text2vec-multilingual": "shibing624/text2vec-base-multilingual", "text2vec-bge-large-chinese": "shibing624/text2vec-bge-large-chinese", "m3e-small": "moka-ai/m3e-small", "m3e-base": "moka-ai/m3e-base", "m3e-large": "moka-ai/m3e-large", "bge-small-zh": "BAAI/bge-small-zh", "bge-base-zh": "BAAI/bge-base-zh", "bge-large-zh": "BAAI/bge-large-zh", "bge-large-zh-noinstruct": "BAAI/bge-large-zh-noinstruct", "bge-base-zh-v1.5": "BAAI/bge-base-zh-v1.5", "bge-large-zh-v1.5": "BAAI/bge-large-zh-v1.5", "piccolo-base-zh": "sensenova/piccolo-base-zh", "piccolo-large-zh": "sensenova/piccolo-large-zh", "nlp_gte_sentence-embedding_chinese-large": "damo/nlp_gte_sentence-embedding_chinese-large", "text-embedding-ada-002": "your OPENAI_API_KEY", }, "llm_model": { "chatglm2-6b": "THUDM/chatglm2-6b", "chatglm2-6b-32k": "THUDM/chatglm2-6b-32k", "chatglm3-6b": "THUDM/chatglm3-6b", "chatglm3-6b-32k": "THUDM/chatglm3-6b-32k", "Orion-14B-Chat": "OrionStarAI/Orion-14B-Chat", "Orion-14B-Chat-Plugin": "OrionStarAI/Orion-14B-Chat-Plugin", "Orion-14B-LongChat": "OrionStarAI/Orion-14B-LongChat", "Llama-2-7b-chat-hf": "meta-llama/Llama-2-7b-chat-hf", "Llama-2-13b-chat-hf": "meta-llama/Llama-2-13b-chat-hf", "Llama-2-70b-chat-hf": "meta-llama/Llama-2-70b-chat-hf", "Qwen-1_8B-Chat": "Qwen/Qwen-1_8B-Chat", "Qwen-7B-Chat": "Qwen/Qwen-7B-Chat", "Qwen-14B-Chat": "Qwen/Qwen-14B-Chat", "Qwen-72B-Chat": "Qwen/Qwen-72B-Chat", "baichuan-7b-chat": "baichuan-inc/Baichuan-7B-Chat", "baichuan-13b-chat": "baichuan-inc/Baichuan-13B-Chat", "baichuan2-7b-chat": "baichuan-inc/Baichuan2-7B-Chat", "baichuan2-13b-chat": "baichuan-inc/Baichuan2-13B-Chat", "internlm-7b": "internlm/internlm-7b", "internlm-chat-7b": "internlm/internlm-chat-7b", "internlm2-chat-7b": "internlm/internlm2-chat-7b", "internlm2-chat-20b": "internlm/internlm2-chat-20b", "BlueLM-7B-Chat": "vivo-ai/BlueLM-7B-Chat", "BlueLM-7B-Chat-32k": "vivo-ai/BlueLM-7B-Chat-32k", "Yi-34B-Chat": "https://huggingface.co/01-ai/Yi-34B-Chat", "agentlm-7b": "THUDM/agentlm-7b", "agentlm-13b": "THUDM/agentlm-13b", "agentlm-70b": "THUDM/agentlm-70b", "falcon-7b": "tiiuae/falcon-7b", "falcon-40b": "tiiuae/falcon-40b", "falcon-rw-7b": "tiiuae/falcon-rw-7b", "aquila-7b": "BAAI/Aquila-7B", "aquilachat-7b": "BAAI/AquilaChat-7B", "open_llama_13b": "openlm-research/open_llama_13b", "vicuna-13b-v1.5": "lmsys/vicuna-13b-v1.5", "koala": "young-geng/koala", "mpt-7b": "mosaicml/mpt-7b", "mpt-7b-storywriter": "mosaicml/mpt-7b-storywriter", "mpt-30b": "mosaicml/mpt-30b", "opt-66b": "facebook/opt-66b", "opt-iml-max-30b": "facebook/opt-iml-max-30b", "gpt2": "gpt2", "gpt2-xl": "gpt2-xl", "gpt-j-6b": "EleutherAI/gpt-j-6b", "gpt4all-j": "nomic-ai/gpt4all-j", "gpt-neox-20b": "EleutherAI/gpt-neox-20b", "pythia-12b": "EleutherAI/pythia-12b", "oasst-sft-4-pythia-12b-epoch-3.5": "OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5", "dolly-v2-12b": "databricks/dolly-v2-12b", "stablelm-tuned-alpha-7b": "stabilityai/stablelm-tuned-alpha-7b", }, "reranker": { "bge-reranker-large": "BAAI/bge-reranker-large", "bge-reranker-base": "BAAI/bge-reranker-base", } } # 通常情况下不需要更改以下内容 # nltk 模型存储路径 NLTK_DATA_PATH = os.path.join(os.path.dirname(os.path.dirname(__file__)), "nltk_data") # 使用VLLM可能导致模型推理能力下降，无法完成Agent任务 VLLM_MODEL_DICT = { "chatglm2-6b": "THUDM/chatglm2-6b", "chatglm2-6b-32k": "THUDM/chatglm2-6b-32k", "chatglm3-6b": "THUDM/chatglm3-6b", "chatglm3-6b-32k": "THUDM/chatglm3-6b-32k", "Llama-2-7b-chat-hf": "meta-llama/Llama-2-7b-chat-hf", "Llama-2-13b-chat-hf": "meta-llama/Llama-2-13b-chat-hf", "Llama-2-70b-chat-hf": "meta-llama/Llama-2-70b-chat-hf", "Qwen-1_8B-Chat": "Qwen/Qwen-1_8B-Chat", "Qwen-7B-Chat": "Qwen/Qwen-7B-Chat", "Qwen-14B-Chat": "Qwen/Qwen-14B-Chat", "Qwen-72B-Chat": "Qwen/Qwen-72B-Chat", "baichuan-7b-chat": "baichuan-inc/Baichuan-7B-Chat", "baichuan-13b-chat": "baichuan-inc/Baichuan-13B-Chat", "baichuan2-7b-chat": "baichuan-inc/Baichuan-7B-Chat", "baichuan2-13b-chat": "baichuan-inc/Baichuan-13B-Chat", "BlueLM-7B-Chat": "vivo-ai/BlueLM-7B-Chat", "BlueLM-7B-Chat-32k": "vivo-ai/BlueLM-7B-Chat-32k", "internlm-7b": "internlm/internlm-7b", "internlm-chat-7b": "internlm/internlm-chat-7b", "internlm2-chat-7b": "internlm/Models/internlm2-chat-7b", "internlm2-chat-20b": "internlm/Models/internlm2-chat-20b", "aquila-7b": "BAAI/Aquila-7B", "aquilachat-7b": "BAAI/AquilaChat-7B", "falcon-7b": "tiiuae/falcon-7b", "falcon-40b": "tiiuae/falcon-40b", "falcon-rw-7b": "tiiuae/falcon-rw-7b", "gpt2": "gpt2", "gpt2-xl": "gpt2-xl", "gpt-j-6b": "EleutherAI/gpt-j-6b", "gpt4all-j": "nomic-ai/gpt4all-j", "gpt-neox-20b": "EleutherAI/gpt-neox-20b", "pythia-12b": "EleutherAI/pythia-12b", "oasst-sft-4-pythia-12b-epoch-3.5": "OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5", "dolly-v2-12b": "databricks/dolly-v2-12b", "stablelm-tuned-alpha-7b": "stabilityai/stablelm-tuned-alpha-7b", "open_llama_13b": "openlm-research/open_llama_13b", "vicuna-13b-v1.3": "lmsys/vicuna-13b-v1.3", "koala": "young-geng/koala", "mpt-7b": "mosaicml/mpt-7b", "mpt-7b-storywriter": "mosaicml/mpt-7b-storywriter", "mpt-30b": "mosaicml/mpt-30b", "opt-66b": "facebook/opt-66b", "opt-iml-max-30b": "facebook/opt-iml-max-30b", } SUPPORT_AGENT_MODEL = [ "openai-api", # GPT4 模型 "qwen-api", # Qwen Max模型 "zhipu-api", # 智谱AI GLM4模型 "Qwen", # 所有Qwen系列本地模型 "chatglm3-6b", "internlm2-chat-20b", "Orion-14B-Chat-Plugin", ]