运行Deepseek R1 K4的V0.3的测试报错

File "/home/appadmin/miniforge3/envs/ktrans_ds671/lib/python3.11/site-packages/ktransformers/local_chat.py", line 267, in
fire.Fire(local_chat)
File "/home/appadmin/miniforge3/envs/ktrans_ds671/lib/python3.11/site-packages/fire/core.py", line 135, in Fire
component_trace = _Fire(component, args, parsed_flag_args, context, name)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/appadmin/miniforge3/envs/ktrans_ds671/lib/python3.11/site-packages/fire/core.py", line 468, in _Fire
component, remaining_args = _CallAndUpdateTrace(
^^^^^^^^^^^^^^^^^^^^
File "/home/appadmin/miniforge3/envs/ktrans_ds671/lib/python3.11/site-packages/fire/core.py", line 684, in _CallAndUpdateTrace
component = fn(*varargs, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^
File "/home/appadmin/miniforge3/envs/ktrans_ds671/lib/python3.11/site-packages/ktransformers/local_chat.py", line 175, in local_chat
tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/appadmin/miniforge3/envs/ktrans_ds671/lib/python3.11/site-packages/transformers/models/auto/tokenization_auto.py", line 925, in from_pretrained
raise ValueError(
ValueError: Unrecognized configuration class <class 'transformers_modules.DeepSeek-R1.configuration_deepseek.DeepseekV3Config'> to build an AutoTokenizer.
Model type should be one of AlbertConfig, AlignConfig, BarkConfig, BartConfig, BertConfig, BertGenerationConfig, BigBirdConfig, BigBirdPegasusConfig, BioGptConfig, BlenderbotConfig, BlenderbotSmallConfig, BlipConfig, Blip2Config, BloomConfig, BridgeTowerConfig, BrosConfig, CamembertConfig, CanineConfig, ChameleonConfig, ChineseCLIPConfig, ClapConfig, CLIPConfig, CLIPSegConfig, ClvpConfig, LlamaConfig, CodeGenConfig, CohereConfig, ConvBertConfig, CpmAntConfig, CTRLConfig, Data2VecAudioConfig, Data2VecTextConfig, DbrxConfig, DebertaConfig, DebertaV2Config, DistilBertConfig, DPRConfig, ElectraConfig, ErnieConfig, ErnieMConfig, EsmConfig, FalconConfig, FastSpeech2ConformerConfig, FlaubertConfig, FNetConfig, FSMTConfig, FunnelConfig, GemmaConfig, Gemma2Config, GitConfig, GPT2Config, GPT2Config, GPTBigCodeConfig, GPTNeoConfig, GPTNeoXConfig, GPTNeoXJapaneseConfig, GPTJConfig, GPTSanJapaneseConfig, GroundingDinoConfig, GroupViTConfig, HubertConfig, IBertConfig, IdeficsConfig, Idefics2Config, InstructBlipConfig, InstructBlipVideoConfig, JambaConfig, JetMoeConfig, JukeboxConfig, Kosmos2Config, LayoutLMConfig, LayoutLMv2Config, LayoutLMv3Config, LEDConfig, LiltConfig, LlamaConfig, LlavaConfig, LlavaNextVideoConfig, LlavaNextConfig, LongformerConfig, LongT5Config, LukeConfig, LxmertConfig, M2M100Config, MambaConfig, MarianConfig, MBartConfig, MegaConfig, MegatronBertConfig, MgpstrConfig, MistralConfig, MixtralConfig, MobileBertConfig, MPNetConfig, MptConfig, MraConfig, MT5Config, MusicgenConfig, MusicgenMelodyConfig, MvpConfig, NezhaConfig, NllbMoeConfig, NystromformerConfig, OlmoConfig, OneFormerConfig, OpenAIGPTConfig, OPTConfig, Owlv2Config, OwlViTConfig, PaliGemmaConfig, PegasusConfig, PegasusXConfig, PerceiverConfig, PersimmonConfig, PhiConfig, Phi3Config, Pix2StructConfig, PLBartConfig, ProphetNetConfig, QDQBertConfig, Qwen2Config, Qwen2MoeConfig, RagConfig, RealmConfig, RecurrentGemmaConfig, ReformerConfig, RemBertConfig, RetriBertConfig, RobertaConfig, RobertaPreLayerNormConfig, RoCBertConfig, RoFormerConfig, RwkvConfig, SeamlessM4TConfig, SeamlessM4Tv2Config, SiglipConfig, Speech2TextConfig, Speech2Text2Config, SpeechT5Config, SplinterConfig, SqueezeBertConfig, StableLmConfig, Starcoder2Config, SwitchTransformersConfig, T5Config, TapasConfig, TransfoXLConfig, TvpConfig, UdopConfig, UMT5Config, VideoLlavaConfig, ViltConfig, VipLlavaConfig, VisualBertConfig, VitsConfig, Wav2Vec2Config, Wav2Vec2BertConfig, Wav2Vec2ConformerConfig, WhisperConfig, XCLIPConfig, XGLMConfig, XLMConfig, XLMProphetNetConfig, XLMRobertaConfig, XLMRobertaXLConfig, XLNetConfig, XmodConfig, YosoConfig.
报了以上错误，目前我是按照https://github.com/kvcache-ai/ktransformers/blob/main/doc/en/install.md来配置和安装的（除了ktransformers v0.3不一样）这个有什么解决办法么

Start with the installation instructions in doc/en/install.md and the failing call in ktransformers/local_chat.py at line 175. Reproduce the DeepSeek R1 K4 V0.3 run and investigate the AutoTokenizer configuration error shown in the report. Done means the tokenizer loads successfully and the test proceeds without this ValueError.