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from typing import List, Optional
from dataclasses import dataclass
@dataclass
class Template:
name: str
def __post_init__(self):
if self.name == "vanilla":
r"""
Supports language model inference without histories.
"""
self._register_template(
prefix="",
prompt="{query}",
sep="",
use_history=False
)
elif self.name == "alpaca":
r"""
Supports: https://huggingface.co/tatsu-lab/alpaca-7b-wdiff
https://github.com/ymcui/Chinese-LLaMA-Alpaca
"""
self._register_template(
prefix="Below is an instruction that describes a task. "
"Write a response that appropriately completes the request.\n\n",
prompt="### Instruction:\n{query}\n\n### Response:\n",
sep="\n\n",
use_history=True
)
elif self.name == "vicuna":
r"""
Supports: https://huggingface.co/lmsys/vicuna-7b-delta-v1.1
https://huggingface.co/lmsys/vicuna-13b-delta-v1.1
"""
self._register_template(
prefix="A chat between a curious user and an artificial intelligence assistant. "
"The assistant gives helpful, detailed, and polite answers to the user's questions.",
prompt="USER: {query} ASSISTANT: ",
sep="</s>",
use_history=True
)
elif self.name == "belle":
r"""
Supports: https://huggingface.co/BelleGroup/BELLE-LLaMA-EXT-13B
"""
self._register_template(
prefix="",
prompt="Human: {query}\n\nBelle: ",
sep="\n\n",
use_history=True
)
elif self.name == "linly":
r"""
Supports: https://github.com/CVI-SZU/Linly
"""
self._register_template(
prefix="",
prompt="User: {query}\nBot: ",
sep="\n",
use_history=True
)
elif self.name == "billa":
r"""
Supports: https://github.com/Neutralzz/BiLLa
"""
self._register_template(
prefix="",
prompt="Human: {query}\nAssistant: ",
sep="\n",
use_history=True
)
elif self.name == "ziya":
r"""
Supports: https://huggingface.co/IDEA-CCNL/Ziya-LLaMA-13B-v1
"""
self._register_template(
prefix="",
prompt="<human>:{query}\n<bot>:",
sep="\n",
use_history=True
)
elif self.name == "aquila":
r"""
Supports: https://huggingface.co/qhduan/aquilachat-7b
"""
self._register_template(
prefix="A chat between a curious human and an artificial intelligence assistant. "
"The assistant gives helpful, detailed, and polite answers to the human's questions.",
prompt="Human: {query}\nAssistant: ",
sep="###",
use_history=True
)
else:
raise ValueError("Template {} does not exist.".format(self.name))
def get_prompt(self, query: str, history: Optional[list] = None, prefix: Optional[str] = "") -> str:
r"""
Returns a string containing prompt without response.
"""
return "".join(self._format_example(query, history, prefix))
def get_dialog(self, query: str, resp: str, history: Optional[list] = None, prefix: Optional[str] = "") -> List[str]:
r"""
Returns a list containing 2 * n elements where the 2k-th is a query and the (2k+1)-th is a response.
"""
return self._format_example(query, history, prefix) + [resp]
def _register_template(self, prefix: str, prompt: str, sep: str, use_history: Optional[bool] = True) -> None:
self.prefix = prefix
self.prompt = prompt
self.sep = sep
self.use_history = use_history
def _format_example(self, query: str, history: Optional[list] = None, prefix: Optional[str] = "") -> List[str]:
prefix = prefix if prefix else self.prefix
history = history if (history and self.use_history) else []
history = history + [(query, "<dummy>")]
convs = []
for turn_idx, (user_query, bot_resp) in enumerate(history):
if turn_idx == 0:
convs.append(prefix + self.prompt.format(query=user_query))
convs.append(bot_resp)
else:
convs.append(self.sep + self.prompt.format(query=user_query))
convs.append(bot_resp)
return convs[:-1] # drop last