(self)

(messages, functions=None)

(self, query, system = "")

(cmd)

(text)

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

(data: BaseModel, *args, **kwargs)

(role, content)

(role, content)

(response)

()

(forced: bool = False)

(self, query: str, history: Optional[HistoryType], tokenizer: PreTrainedTokenizer =

(self, query: str, history: Optional[HistoryType], tokenizer: PreTrainedTokenizer =

(context, model = None, **kwargs)

(*args)

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

(response, stop_words)

(fo, s)

(server_ip, port)

()

(tokenizer, text_list)

( pieces: "tuple[bytes, ...]", pair: "tuple[bytes, bytes]" )

(self, tokenizer, query, history=None, role="user")

(model, path, args)

(s)

(response, row)

(line, include_answer=True)

(line, include_answer=True)

(line, include_answer=True)

(filename)

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

(self, output, history)

(filename, model, tokenizer)

(model)

(self, token_id: int)

(fo, key, value)

(path, context)

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

(num_gpus, num_layers)

()

()

()

()

(args, model, tokenizer, config)

(args)

(args)

(history)

(stop_words)

()

()

(word: bytes, merges: "dict[bytes,int]")

(chat_history, list_of_plugin_info)

(functions)

(the_bytes: bytes)

(res)

(res)

(res)

(res)

(res)

(plugin_name: str, plugin_args: str)

(model, path, args)

(tokens_list, tokenizer, raw_text_len)

(tokens_list, tokenizer, raw_text_len)

(doc, use_fewshot)

(doc)

(bpe_ranks: "dict[bytes, int]", tiktoken_bpe_file: str)

(job)

(job, tokenizer)

( model, tokenizer, subject_name, test_df, k=5, dev_df=None, few_shot=False, s

( model, tokenizer, subject_name, test_df, save_result_dir=None, overwrite=False

( model, tokenizer, subject_name, test_df, k=5, dev_df=None, few_shot=False, s

( model, tokenizer, subject_name, test_df, k=5, dev_df=None, few_shot=False, s

( model, tokenizer, subject_name, test_df, save_result_dir=None, overwrite=False

(response, row)

(completion)

(completion)

(gen, prompt, choice_list)

(gen, choice_list)

(text, entry_point)

(line)

(line)

(subject)

(messages)

(k, subject, dev_df)

(k, subject, dev_df)

(k, subject, dev_df)

(model, tokenizer, question)

(model, tokenizer, input_txt)

(model, tokenizer, question, entry_point)

(model, tokenizer, input_txt)

(tokenizer, model, inputs: List[str])

(tokenizer, model, inputs: List[str])

(tokenizer, model, inputs: List[str])

()

(pieces: "tuple[bytes]")

(named_params, bias)

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

(chat_format, tokenizer)

(chat_format, tokenizer)