(response, golden)

(completion, answer)

(completion, answer)

( freqs: "dict[str,int]", existing: "dict[bytes, int]" )

(prompt: str, history, list_of_plugin_info=())

(path: Path)

(args)

(args)

(args)

(args)

(args)

(args)

(tiktoken_bpe_file: str)

()

()

(args)

(args)

(args)

(args)

(args)

(args)

()

()

( tokenizer: PreTrainedTokenizer, query: str, history: List[Tuple[str, str]] = None, syste

( tokenizer: PreTrainedTokenizer, query: str, history: List[Tuple[str, str]] = None, syste

( input_path: Path, output_path: Path, expand_path: Path, start_id: int )

(param)

(original_file, comments_path)

( pair: "tuple[bytes, bytes]", vocab: "dict[tuple[bytes, ...], int]" )

(answer, pred)

()

(text)

(messages, functions)

(response)

( query: str, history: List[List[str]], model_id: str, stop_words: List[str], gen_kwargs:

(_query, _chatbot, _task_history)

( sources, tokenizer: transformers.PreTrainedTokenizer, max_len: int, system_message: str

(gen, question, choice_dict)

(gen, choice_dict)

(path)

(self, querys: List[str], historys: List[List[Tuple[str, str]]] = None,

(self, name: str)

(text)

(text)

()

()

()

()

()

(history, stop_words_ids, gen_kwargs, system)

(input_text: str, stop_words)

(self, content: str)

()

(args)

(fo, v)

(fo, v)

(self, i)

(self, i)

(self, raw_data, tokenizer: transformers.PreTrainedTokenizer, max_len: int)

(self, app, username: str, password: str)

(self, model_dir: str, trust_remote_code: bool = True, tensor_

( self, chat_prompt_template=None, run_prompt_template=None, additional_tools=

(self)

(self, model_dir: str, trust_remote_code: bool = True, tensor_

(self, path : str, id : int = -99999)

(self)

(self)

( item: "tuple[dict[bytes, bytes], int]", )

(self)

(self, tokenizer, query: str, history: List[Tuple[str, str]] = None, max_length: int = 8192, do_s

(self, tokenizer, querys: List[str], historys: List[List[Tuple[str, str]]] = None, max_length: int = 1024,

(gen, pattern)

(model, tokenizer = None, pre_prompt = None, user_role = None, bot

(request: ChatCompletionRequest)

(self)

(self, request: Request, call_next)

(model, tokenizer = None, dtype = "float16")

(self, prompt, stop)

()

()

()

(app: FastAPI)

()

(model_name_or_path, num_gpus: int = 2)

(self, y)

()

(_chatbot, _task_history)

(_chatbot, _task_history)

()

(self, query: str, history: List[Tuple[str, str]] = None, m

(self, query: str, history: List[Tuple[str, str]] = None,

(self, path : str)

(cpu_kvcache)

(low_mem)

(threads: int)

(device_map)

(self, tokenizer, query: str, history: List[Tuple[str, str]] = None, past_key_values = None,

(self, input_tokens: List[int], max_length: int = 8192