2.10版本是否支持BlueLM-7B-Chat,BlueLM-7B-Chat-32k 按默认的配置设置路径后，python startup.py -a无法启动

[caixianyu]

(Langchain-Chatchat) tcarh@K5RCPVT45N2DX5K:~/Langchain-Chatchat-0.2.10$ python startup.py -a

==============================Langchain-Chatchat Configuration============================== 操作系统：Linux-5.15.133.1-microsoft-standard-WSL2-x86_64-with-glibc2.35. python版本：3.10.12 | packaged by conda-forge | (main, Jun 23 2023, 22:40:32) [GCC 12.3.0] 项目版本：v0.2.10 langchain版本：0.0.354. fastchat版本：0.2.35

当前使用的分词器：ChineseRecursiveTextSplitter 当前启动的LLM模型：['BlueLM-7B-Chat', 'zhipu-api', 'openai-api'] @ cuda {'device': 'cuda', 'host': '0.0.0.0', 'infer_turbo': False, 'model_path': '/home/tcarh/langchain-ChatGLM/BlueLM-7B-Chat', 'model_path_exists': True, 'port': 20002} {'api_key': '', 'device': 'cuda', 'host': '0.0.0.0', 'infer_turbo': False, 'online_api': True, 'port': 21001, 'provider': 'ChatGLMWorker', 'version': 'glm-4', 'worker_class': <class 'server.model_workers.zhipu.ChatGLMWorker'>} {'api_base_url': 'https://api.openai.com/v1', 'api_key': '', 'device': 'cuda', 'host': '0.0.0.0', 'infer_turbo': False, 'model_name': 'gpt-4', 'online_api': True, 'openai_proxy': '', 'port': 20002} 当前Embbedings模型： bge-large-zh-v1.5 @ cuda ==============================Langchain-Chatchat Configuration==============================

2024-05-17 09:32:41,222 - startup.py[line:655] - INFO: 正在启动服务： 2024-05-17 09:32:41,222 - startup.py[line:656] - INFO: 如需查看 llm_api 日志，请前往 /home/tcarh/Langchain-Chatchat-0.2.10/logs /home/tcarh/anaconda3/envs/Langchain-Chatchat/lib/python3.10/site-packages/langchain_core/_api/deprecation.py:117: LangChainDeprecationWarning: 模型启动功能将于 Langchain-Chatchat 0.3.x重写,支持更多模式和加速启动，0.2.x中相关功能将废弃 warn_deprecated( 2024-05-17 09:32:47 | INFO | model_worker | Register to controller 2024-05-17 09:32:47 | ERROR | stderr | INFO: Started server process [211407] 2024-05-17 09:32:47 | ERROR | stderr | INFO: Waiting for application startup. 2024-05-17 09:32:47 | ERROR | stderr | INFO: Application startup complete. 2024-05-17 09:32:47 | ERROR | stderr | INFO: Uvicorn running on http://0.0.0.0:20000 (Press CTRL+C to quit) 2024-05-17 09:32:47 | INFO | model_worker | Loading the model ['BlueLM-7B-Chat'] on worker 4a9aa8ec ... 2024-05-17 09:32:48 | ERROR | stderr | Process model_worker - BlueLM-7B-Chat: 2024-05-17 09:32:48 | ERROR | stderr | Traceback (most recent call last): 2024-05-17 09:32:48 | ERROR | stderr | File "/home/tcarh/anaconda3/envs/Langchain-Chatchat/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap 2024-05-17 09:32:48 | ERROR | stderr | self.run() 2024-05-17 09:32:48 | ERROR | stderr | File "/home/tcarh/anaconda3/envs/Langchain-Chatchat/lib/python3.10/multiprocessing/process.py", line 108, in run 2024-05-17 09:32:48 | ERROR | stderr | self._target(*self._args, **self._kwargs) 2024-05-17 09:32:48 | ERROR | stderr | File "/home/tcarh/Langchain-Chatchat-0.2.10/startup.py", line 389, in run_model_worker 2024-05-17 09:32:48 | ERROR | stderr | app = create_model_worker_app(log_level=log_level, **kwargs) 2024-05-17 09:32:48 | ERROR | stderr | File "/home/tcarh/Langchain-Chatchat-0.2.10/startup.py", line 217, in create_model_worker_app 2024-05-17 09:32:48 | ERROR | stderr | worker = ModelWorker( 2024-05-17 09:32:48 | ERROR | stderr | File "/home/tcarh/anaconda3/envs/Langchain-Chatchat/lib/python3.10/site-packages/fastchat/serve/model_worker.py", line 77, in init 2024-05-17 09:32:48 | ERROR | stderr | self.model, self.tokenizer = load_model( 2024-05-17 09:32:48 | ERROR | stderr | File "/home/tcarh/anaconda3/envs/Langchain-Chatchat/lib/python3.10/site-packages/fastchat/model/model_adapter.py", line 348, in load_model 2024-05-17 09:32:48 | ERROR | stderr | model, tokenizer = adapter.load_model(model_path, kwargs) 2024-05-17 09:32:48 | ERROR | stderr | File "/home/tcarh/anaconda3/envs/Langchain-Chatchat/lib/python3.10/site-packages/fastchat/model/model_adapter.py", line 826, in load_model 2024-05-17 09:32:48 | ERROR | stderr | model = AutoModel.from_pretrained( 2024-05-17 09:32:48 | ERROR | stderr | File "/home/tcarh/anaconda3/envs/Langchain-Chatchat/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py", line 569, in from_pretrained 2024-05-17 09:32:48 | ERROR | stderr | raise ValueError( 2024-05-17 09:32:48 | ERROR | stderr | ValueError: Unrecognized configuration class <class 'transformers_modules.BlueLM-7B-Chat.configuration_bluelm.BlueLMConfig'> for this kind of AutoModel: AutoModel. 2024-05-17 09:32:48 | ERROR | stderr | Model type should be one of AlbertConfig, AlignConfig, AltCLIPConfig, ASTConfig, AutoformerConfig, BarkConfig, BartConfig, BeitConfig, BertConfig, BertGenerationConfig, BigBirdConfig, BigBirdPegasusConfig, BioGptConfig, BitConfig, BlenderbotConfig, BlenderbotSmallConfig, BlipConfig, Blip2Config, BloomConfig, BridgeTowerConfig, BrosConfig, CamembertConfig, CanineConfig, ChineseCLIPConfig, ClapConfig, CLIPConfig, CLIPVisionConfig, CLIPSegConfig, ClvpConfig, LlamaConfig, CodeGenConfig, ConditionalDetrConfig, ConvBertConfig, ConvNextConfig, ConvNextV2Config, CpmAntConfig, CTRLConfig, CvtConfig, Data2VecAudioConfig, Data2VecTextConfig, Data2VecVisionConfig, DebertaConfig, DebertaV2Config, DecisionTransformerConfig, DeformableDetrConfig, DeiTConfig, DetaConfig, DetrConfig, DinatConfig, Dinov2Config, DistilBertConfig, DonutSwinConfig, DPRConfig, DPTConfig, EfficientFormerConfig, EfficientNetConfig, ElectraConfig, EncodecConfig, ErnieConfig, ErnieMConfig, EsmConfig, FalconConfig, FlaubertConfig, FlavaConfig, FNetConfig, FocalNetConfig, FSMTConfig, FunnelConfig, GitConfig, GLPNConfig, GPT2Config, GPT2Config, GPTBigCodeConfig, GPTNeoConfig, GPTNeoXConfig, GPTNeoXJapaneseConfig, GPTJConfig, GPTSanJapaneseConfig, GraphormerConfig, GroupViTConfig, HubertConfig, IBertConfig, IdeficsConfig, ImageGPTConfig, InformerConfig, JukeboxConfig, Kosmos2Config, LayoutLMConfig, LayoutLMv2Config, LayoutLMv3Config, LEDConfig, LevitConfig, LiltConfig, LlamaConfig, LongformerConfig, LongT5Config, LukeConfig, LxmertConfig, M2M100Config, MarianConfig, MarkupLMConfig, Mask2FormerConfig, MaskFormerConfig, MaskFormerSwinConfig, MBartConfig, MCTCTConfig, MegaConfig, MegatronBertConfig, MgpstrConfig, MistralConfig, MixtralConfig, MobileBertConfig, MobileNetV1Config, MobileNetV2Config, MobileViTConfig, MobileViTV2Config, MPNetConfig, MptConfig, MraConfig, MT5Config, MvpConfig, NatConfig, NezhaConfig, NllbMoeConfig, NystromformerConfig, OneFormerConfig, OpenLlamaConfig, OpenAIGPTConfig, OPTConfig, Owlv2Config, OwlViTConfig, PatchTSMixerConfig, PatchTSTConfig, PegasusConfig, PegasusXConfig, PerceiverConfig, PersimmonConfig, PhiConfig, PLBartConfig, PoolFormerConfig, ProphetNetConfig, PvtConfig, QDQBertConfig, ReformerConfig, RegNetConfig, RemBertConfig, ResNetConfig, RetriBertConfig, RobertaConfig, RobertaPreLayerNormConfig, RoCBertConfig, RoFormerConfig, RwkvConfig, SamConfig, SeamlessM4TConfig, SeamlessM4Tv2Config, SegformerConfig, SEWConfig, SEWDConfig, Speech2TextConfig, SpeechT5Config, SplinterConfig, SqueezeBertConfig, SwiftFormerConfig, SwinConfig, Swin2SRConfig, Swinv2Config, SwitchTransformersConfig, T5Config, TableTransformerConfig, TapasConfig, TimeSeriesTransformerConfig, TimesformerConfig, TimmBackboneConfig, TrajectoryTransformerConfig, TransfoXLConfig, TvltConfig, TvpConfig, UMT5Config, UniSpeechConfig, UniSpeechSatConfig, UnivNetConfig, VanConfig, VideoMAEConfig, ViltConfig, VisionTextDualEncoderConfig, VisualBertConfig, ViTConfig, ViTHybridConfig, ViTMAEConfig, ViTMSNConfig, VitDetConfig, VitsConfig, VivitConfig, Wav2Vec2Config, Wav2Vec2ConformerConfig, WavLMConfig, WhisperConfig, XCLIPConfig, XGLMConfig, XLMConfig, XLMProphetNetConfig, XLMRobertaConfig, XLMRobertaXLConfig, XLNetConfig, XmodConfig, YolosConfig, YosoConfig.