File size: 43,933 Bytes
0a30a85 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930 931 932 933 934 935 936 937 938 939 940 941 942 943 944 945 946 947 948 949 950 951 952 953 954 955 956 957 958 959 960 961 962 963 964 965 966 967 968 969 970 971 972 973 974 975 976 977 978 979 980 981 982 983 984 985 986 987 988 989 990 991 992 993 994 995 996 997 998 999 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 1010 1011 1012 1013 1014 1015 1016 1017 1018 1019 1020 1021 1022 1023 1024 1025 1026 1027 1028 1029 1030 1031 1032 1033 1034 1035 1036 1037 1038 1039 1040 1041 1042 1043 1044 1045 1046 1047 1048 1049 1050 1051 1052 1053 1054 1055 1056 1057 1058 1059 1060 1061 1062 1063 1064 1065 1066 1067 1068 1069 1070 1071 1072 1073 1074 1075 1076 1077 1078 1079 1080 1081 1082 1083 1084 1085 1086 1087 1088 1089 1090 1091 1092 1093 1094 1095 1096 1097 1098 1099 1100 1101 1102 1103 1104 1105 1106 1107 1108 1109 1110 1111 1112 1113 1114 1115 1116 1117 1118 1119 1120 1121 1122 1123 1124 1125 1126 1127 1128 1129 1130 1131 1132 1133 1134 1135 1136 1137 1138 1139 1140 1141 1142 1143 1144 1145 1146 1147 1148 1149 1150 1151 1152 1153 1154 1155 1156 1157 1158 1159 1160 1161 1162 1163 1164 1165 1166 1167 1168 1169 1170 1171 1172 1173 1174 1175 1176 1177 1178 1179 1180 1181 1182 1183 1184 1185 1186 1187 1188 1189 1190 1191 1192 1193 1194 1195 1196 1197 1198 1199 1200 1201 1202 1203 1204 1205 1206 1207 1208 1209 1210 1211 1212 1213 1214 1215 1216 1217 1218 1219 1220 1221 1222 1223 1224 1225 1226 1227 1228 1229 1230 1231 1232 1233 1234 1235 1236 1237 1238 1239 1240 1241 1242 1243 1244 1245 1246 1247 1248 1249 1250 1251 1252 1253 1254 1255 1256 1257 1258 1259 1260 1261 1262 |
"""
Conversation prompt templates.
We kindly request that you import fastchat instead of copying this file if you wish to use it.
If you have any changes in mind, please contribute back so the community can benefit collectively and continue to maintain these valuable templates.
"""
import dataclasses
from enum import IntEnum, auto
from typing import Any, Dict, List, Tuple, Union
class SeparatorStyle(IntEnum):
"""Separator styles."""
ADD_COLON_SINGLE = auto()
ADD_COLON_TWO = auto()
ADD_COLON_SPACE_SINGLE = auto()
NO_COLON_SINGLE = auto()
NO_COLON_TWO = auto()
ADD_NEW_LINE_SINGLE = auto()
LLAMA2 = auto()
CHATGLM = auto()
CHATML = auto()
CHATINTERN = auto()
DOLLY = auto()
RWKV = auto()
PHOENIX = auto()
ROBIN = auto()
FALCON_CHAT = auto()
CHATGLM3 = auto()
INTERNVL_ZH = auto()
MPT = auto()
@dataclasses.dataclass
class Conversation:
"""A class that manages prompt templates and keeps all conversation history."""
# The name of this template
name: str
# The template of the system prompt
system_template: str = '{system_message}'
# The system message
system_message: str = ''
# The names of two roles
roles: Tuple[str] = ('USER', 'ASSISTANT')
# All messages. Each item is (role, message).
messages: List[List[str]] = ()
# The number of few shot examples
offset: int = 0
# The separator style and configurations
sep_style: SeparatorStyle = SeparatorStyle.ADD_COLON_SINGLE
sep: str = '\n'
sep2: str = None
# Stop criteria (the default one is EOS token)
stop_str: Union[str, List[str]] = None
# Stops generation if meeting any token in this list
stop_token_ids: List[int] = None
def get_prompt(self) -> str:
"""Get the prompt for generation."""
system_prompt = self.system_template.format(system_message=self.system_message)
if self.sep_style == SeparatorStyle.ADD_COLON_SINGLE:
ret = system_prompt + self.sep
for role, message in self.messages:
if message:
ret += role + ': ' + message + self.sep
else:
ret += role + ':'
return ret
elif self.sep_style == SeparatorStyle.ADD_COLON_TWO:
seps = [self.sep, self.sep2]
ret = system_prompt + seps[0]
for i, (role, message) in enumerate(self.messages):
if message:
ret += role + ': ' + message + seps[i % 2]
else:
ret += role + ':'
return ret
elif self.sep_style == SeparatorStyle.ADD_COLON_SPACE_SINGLE:
ret = system_prompt + self.sep
for role, message in self.messages:
if message:
ret += role + ': ' + message + self.sep
else:
ret += role + ': ' # must be end with a space
return ret
elif self.sep_style == SeparatorStyle.ADD_NEW_LINE_SINGLE:
ret = '' if system_prompt == '' else system_prompt + self.sep
for role, message in self.messages:
if message:
ret += role + '\n' + message + self.sep
else:
ret += role + '\n'
return ret
elif self.sep_style == SeparatorStyle.NO_COLON_SINGLE:
ret = system_prompt
for role, message in self.messages:
if message:
ret += role + message + self.sep
else:
ret += role
return ret
elif self.sep_style == SeparatorStyle.NO_COLON_TWO:
seps = [self.sep, self.sep2]
ret = system_prompt
for i, (role, message) in enumerate(self.messages):
if message:
ret += role + message + seps[i % 2]
else:
ret += role
return ret
elif self.sep_style == SeparatorStyle.RWKV:
ret = system_prompt
for i, (role, message) in enumerate(self.messages):
if message:
ret += (
role
+ ': '
+ message.replace('\r\n', '\n').replace('\n\n', '\n')
)
ret += '\n\n'
else:
ret += role + ':'
return ret
elif self.sep_style == SeparatorStyle.LLAMA2:
seps = [self.sep, self.sep2]
if self.system_message:
ret = system_prompt
else:
ret = '[INST] '
for i, (role, message) in enumerate(self.messages):
tag = self.roles[i % 2]
if message:
if i == 0:
ret += message + ' '
else:
ret += tag + ' ' + message + seps[i % 2]
else:
ret += tag
return ret
elif self.sep_style == SeparatorStyle.CHATGLM:
# source: https://huggingface.co/THUDM/chatglm-6b/blob/1d240ba371910e9282298d4592532d7f0f3e9f3e/modeling_chatglm.py#L1302-L1308
# source2: https://huggingface.co/THUDM/chatglm2-6b/blob/e186c891cf64310ac66ef10a87e6635fa6c2a579/modeling_chatglm.py#L926
round_add_n = 1 if self.name == 'chatglm2' else 0
if system_prompt:
ret = system_prompt + self.sep
else:
ret = ''
for i, (role, message) in enumerate(self.messages):
if i % 2 == 0:
ret += f'[Round {i//2 + round_add_n}]{self.sep}'
if message:
ret += f'{role}:{message}{self.sep}'
else:
ret += f'{role}:'
return ret
elif self.sep_style == SeparatorStyle.CHATML:
ret = '' if system_prompt == '' else system_prompt + self.sep + '\n'
for role, message in self.messages:
if message:
ret += role + '\n' + message + self.sep + '\n'
else:
ret += role + '\n'
return ret
elif self.sep_style == SeparatorStyle.CHATGLM3:
ret = ''
if self.system_message:
ret += system_prompt
for role, message in self.messages:
if message:
ret += role + '\n' + ' ' + message
else:
ret += role
return ret
elif self.sep_style == SeparatorStyle.CHATINTERN:
# source: https://huggingface.co/internlm/internlm-chat-7b-8k/blob/bd546fa984b4b0b86958f56bf37f94aa75ab8831/modeling_internlm.py#L771
seps = [self.sep, self.sep2]
ret = system_prompt
for i, (role, message) in enumerate(self.messages):
# if i % 2 == 0:
# ret += "<s>"
if message:
ret += role + ':' + message + seps[i % 2] + '\n'
else:
ret += role + ':'
return ret
elif self.sep_style == SeparatorStyle.DOLLY:
seps = [self.sep, self.sep2]
ret = system_prompt
for i, (role, message) in enumerate(self.messages):
if message:
ret += role + ':\n' + message + seps[i % 2]
if i % 2 == 1:
ret += '\n\n'
else:
ret += role + ':\n'
return ret
elif self.sep_style == SeparatorStyle.PHOENIX:
ret = system_prompt
for role, message in self.messages:
if message:
ret += role + ': ' + '<s>' + message + '</s>'
else:
ret += role + ': ' + '<s>'
return ret
elif self.sep_style == SeparatorStyle.ROBIN:
ret = system_prompt + self.sep
for role, message in self.messages:
if message:
ret += role + ':\n' + message + self.sep
else:
ret += role + ':\n'
return ret
elif self.sep_style == SeparatorStyle.FALCON_CHAT:
ret = ''
if self.system_message:
ret += system_prompt + self.sep
for role, message in self.messages:
if message:
ret += role + ': ' + message + self.sep
else:
ret += role + ':'
return ret
elif self.sep_style == SeparatorStyle.INTERNVL_ZH:
seps = [self.sep, self.sep2]
ret = self.system_message + seps[0]
for i, (role, message) in enumerate(self.messages):
if message:
ret += role + ': ' + message + seps[i % 2]
else:
ret += role + ':'
return ret
elif self.sep_style == SeparatorStyle.MPT:
ret = system_prompt + self.sep
for role, message in self.messages:
if message:
if type(message) is tuple:
message, _, _ = message
ret += role + message + self.sep
else:
ret += role
return ret
else:
raise ValueError(f'Invalid style: {self.sep_style}')
def set_system_message(self, system_message: str):
"""Set the system message."""
self.system_message = system_message
def append_message(self, role: str, message: str):
"""Append a new message."""
self.messages.append([role, message])
def update_last_message(self, message: str):
"""Update the last output.
The last message is typically set to be None when constructing the prompt,
so we need to update it in-place after getting the response from a model.
"""
self.messages[-1][1] = message
def to_gradio_chatbot(self):
"""Convert the conversation to gradio chatbot format."""
ret = []
for i, (role, msg) in enumerate(self.messages[self.offset :]):
if i % 2 == 0:
ret.append([msg, None])
else:
ret[-1][-1] = msg
return ret
def to_openai_api_messages(self):
"""Convert the conversation to OpenAI chat completion format."""
ret = [{'role': 'system', 'content': self.system_message}]
for i, (_, msg) in enumerate(self.messages[self.offset :]):
if i % 2 == 0:
ret.append({'role': 'user', 'content': msg})
else:
if msg is not None:
ret.append({'role': 'assistant', 'content': msg})
return ret
def copy(self):
return Conversation(
name=self.name,
system_template=self.system_template,
system_message=self.system_message,
roles=self.roles,
messages=[[x, y] for x, y in self.messages],
offset=self.offset,
sep_style=self.sep_style,
sep=self.sep,
sep2=self.sep2,
stop_str=self.stop_str,
stop_token_ids=self.stop_token_ids,
)
def dict(self):
return {
'template_name': self.name,
'system_message': self.system_message,
'roles': self.roles,
'messages': self.messages,
'offset': self.offset,
}
# A global registry for all conversation templates
conv_templates: Dict[str, Conversation] = {}
def register_conv_template(template: Conversation, override: bool = False):
"""Register a new conversation template."""
if not override:
assert (
template.name not in conv_templates
), f'{template.name} has been registered.'
conv_templates[template.name] = template
def get_conv_template(name: str) -> Conversation:
"""Get a conversation template."""
return conv_templates[name].copy()
# An empty template for raw conversation.
register_conv_template(
Conversation(
name='raw',
system_message='',
roles=('', ''),
sep_style=SeparatorStyle.NO_COLON_SINGLE,
sep='',
)
)
# A template with a one-shot conversation example
register_conv_template(
Conversation(
name='one_shot',
system_message='A chat between a curious human and an artificial intelligence assistant. '
"The assistant gives helpful, detailed, and polite answers to the human's questions.",
roles=('Human', 'Assistant'),
messages=(
(
'Human',
'Got any creative ideas for a 10 year old’s birthday?',
),
(
'Assistant',
"""Of course! Here are some creative ideas for a 10-year-old's birthday party:
1. Treasure Hunt: Organize a treasure hunt in your backyard or nearby park. Create clues and riddles for the kids to solve, leading them to hidden treasures and surprises.
2. Science Party: Plan a science-themed party where kids can engage in fun and interactive experiments. You can set up different stations with activities like making slime, erupting volcanoes, or creating simple chemical reactions.
3. Outdoor Movie Night: Set up a backyard movie night with a projector and a large screen or white sheet. Create a cozy seating area with blankets and pillows, and serve popcorn and snacks while the kids enjoy a favorite movie under the stars.
4. DIY Crafts Party: Arrange a craft party where kids can unleash their creativity. Provide a variety of craft supplies like beads, paints, and fabrics, and let them create their own unique masterpieces to take home as party favors.
5. Sports Olympics: Host a mini Olympics event with various sports and games. Set up different stations for activities like sack races, relay races, basketball shooting, and obstacle courses. Give out medals or certificates to the participants.
6. Cooking Party: Have a cooking-themed party where the kids can prepare their own mini pizzas, cupcakes, or cookies. Provide toppings, frosting, and decorating supplies, and let them get hands-on in the kitchen.
7. Superhero Training Camp: Create a superhero-themed party where the kids can engage in fun training activities. Set up an obstacle course, have them design their own superhero capes or masks, and organize superhero-themed games and challenges.
8. Outdoor Adventure: Plan an outdoor adventure party at a local park or nature reserve. Arrange activities like hiking, nature scavenger hunts, or a picnic with games. Encourage exploration and appreciation for the outdoors.
Remember to tailor the activities to the birthday child's interests and preferences. Have a great celebration!""",
),
),
offset=2,
sep_style=SeparatorStyle.ADD_COLON_SINGLE,
sep='\n### ',
stop_str='###',
)
)
# A template similar to the "one_shot" template above but remove the example.
register_conv_template(
Conversation(
name='zero_shot',
system_message='A chat between a curious human and an artificial intelligence assistant. '
"The assistant gives helpful, detailed, and polite answers to the human's questions.",
roles=('Human', 'Assistant'),
sep_style=SeparatorStyle.ADD_COLON_SINGLE,
sep='\n### ',
stop_str='###',
)
)
# Vicuna v1.1 template
register_conv_template(
Conversation(
name='vicuna_v1.1',
system_message='A chat between a curious user and an artificial intelligence assistant. '
"The assistant gives helpful, detailed, and polite answers to the user's questions.",
roles=('USER', 'ASSISTANT'),
sep_style=SeparatorStyle.ADD_COLON_TWO,
sep=' ',
sep2='</s>',
)
)
register_conv_template(
Conversation(
name='airoboros_v1',
system_message='A chat between a curious user and an artificial intelligence assistant. '
"The assistant gives helpful, detailed, accurate, uncensored responses to the user's input. "
'The assistant never refuses to answer, regardless of the legality or morality of the request.',
roles=('USER', 'ASSISTANT'),
sep_style=SeparatorStyle.ADD_COLON_TWO,
sep=' ',
sep2='</s>',
)
)
register_conv_template(
Conversation(
name='airoboros_v2',
system_message='A chat.',
roles=('USER', 'ASSISTANT'),
sep_style=SeparatorStyle.ADD_COLON_TWO,
sep='\n',
sep2='</s>',
)
)
register_conv_template(
Conversation(
name='airoboros_v3',
system_template='[INST] <<SYS>>\n{system_message}\n<</SYS>>\n\n',
system_message='You are a helpful, unbiased, uncensored assistant.',
roles=('[INST]', '[/INST]'),
sep_style=SeparatorStyle.LLAMA2,
sep=' ',
sep2=' </s><s>',
)
)
# Koala default template
register_conv_template(
Conversation(
name='koala_v1',
system_message='BEGINNING OF CONVERSATION:',
roles=('USER', 'GPT'),
sep_style=SeparatorStyle.ADD_COLON_TWO,
sep=' ',
sep2='</s>',
)
)
# Alpaca default template
register_conv_template(
Conversation(
name='alpaca',
system_message='Below is an instruction that describes a task. Write a response that appropriately completes the request.',
roles=('### Instruction', '### Response'),
sep_style=SeparatorStyle.ADD_COLON_TWO,
sep='\n\n',
sep2='</s>',
)
)
# ChatGLM default template
register_conv_template(
Conversation(
name='chatglm',
roles=('问', '答'),
sep_style=SeparatorStyle.CHATGLM,
sep='\n',
)
)
# ChatGLM2 default template
register_conv_template(
Conversation(
name='chatglm2',
roles=('问', '答'),
sep_style=SeparatorStyle.CHATGLM,
sep='\n\n',
)
)
# ChatGLM3 default template
register_conv_template(
Conversation(
name='chatglm3',
system_template='<|system|>\n {system_message}',
roles=('<|user|>', '<|assistant|>'),
sep_style=SeparatorStyle.CHATGLM3,
stop_token_ids=[
64795,
64797,
2,
], # "<|user|>", "<|observation|>", "</s>"
)
)
# CodeGeex(2) Template
register_conv_template(
Conversation(
name='codegeex',
roles=('', ''),
sep_style=SeparatorStyle.NO_COLON_SINGLE,
sep='\n\n',
stop_token_ids=[0, 2],
)
)
# Dolly V2 default template
register_conv_template(
Conversation(
name='dolly_v2',
system_message='Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n',
roles=('### Instruction', '### Response'),
sep_style=SeparatorStyle.DOLLY,
sep='\n\n',
sep2='### End',
)
)
# OpenAssistant Pythia default template
register_conv_template(
Conversation(
name='oasst_pythia',
roles=('<|prompter|>', '<|assistant|>'),
sep_style=SeparatorStyle.NO_COLON_SINGLE,
sep='<|endoftext|>',
)
)
# OpenAssistant default template
register_conv_template(
Conversation(
name='oasst_llama',
roles=('<|prompter|>', '<|assistant|>'),
sep_style=SeparatorStyle.NO_COLON_SINGLE,
sep='</s>',
)
)
# OpenChat 3.5 default template
register_conv_template(
Conversation(
name='openchat_3.5',
roles=('GPT4 Correct User', 'GPT4 Correct Assistant'),
sep_style=SeparatorStyle.FALCON_CHAT,
sep='<|end_of_turn|>',
)
)
# Tulu default template
register_conv_template(
Conversation(
name='tulu',
roles=('<|user|>', '<|assistant|>'),
sep_style=SeparatorStyle.ADD_NEW_LINE_SINGLE,
sep='\n',
)
)
# StableLM Alpha default template
register_conv_template(
Conversation(
name='stablelm',
system_template='<|SYSTEM|>{system_message}',
system_message="""# StableLM Tuned (Alpha version)
- StableLM is a helpful and harmless open-source AI language model developed by StabilityAI.
- StableLM is excited to be able to help the user, but will refuse to do anything that could be considered harmful to the user.
- StableLM is more than just an information source, StableLM is also able to write poetry, short stories, and make jokes.
- StableLM will refuse to participate in anything that could harm a human.
""",
roles=('<|USER|>', '<|ASSISTANT|>'),
sep_style=SeparatorStyle.NO_COLON_SINGLE,
sep='',
stop_token_ids=[50278, 50279, 50277, 1, 0],
)
)
# Baize default template
register_conv_template(
Conversation(
name='baize',
system_message='The following is a conversation between a human and an AI assistant named Baize (named after a mythical creature in Chinese folklore). Baize is an open-source AI assistant developed by UCSD and Sun Yat-Sen University. The human and the AI assistant take turns chatting. Human statements start with [|Human|] and AI assistant statements start with [|AI|]. The AI assistant always provides responses in as much detail as possible, and in Markdown format. The AI assistant always declines to engage with topics, questions and instructions related to unethical, controversial, or sensitive issues. Complete the transcript in exactly that format.\n',
roles=('[|Human|]', '[|AI|]'),
messages=(
('[|Human|]', 'Hello!'),
('[|AI|]', 'Hi!'),
),
offset=2,
sep_style=SeparatorStyle.NO_COLON_SINGLE,
sep='\n',
stop_str='[|Human|]',
)
)
# RWKV-4-Raven default template
register_conv_template(
Conversation(
name='rwkv',
roles=('Bob', 'Alice'),
messages=(
('Bob', 'hi'),
(
'Alice',
'Hi. I am your assistant and I will provide expert full response in full details. Please feel free to ask any question and I will always answer it.',
),
),
offset=2,
sep_style=SeparatorStyle.RWKV,
sep='',
stop_str='\n\n',
)
)
# Buddy default template
register_conv_template(
Conversation(
name='openbuddy',
system_message="""Consider a conversation between User (a human) and Assistant (named Buddy).
Buddy is an INTP-T, a friendly, intelligent and multilingual AI assistant, by OpenBuddy team. GitHub: https://github.com/OpenBuddy/OpenBuddy
Buddy cannot access the Internet.
Buddy can fluently speak the user's language (e.g. English, Chinese).
Buddy can generate poems, stories, code, essays, songs, parodies, and more.
Buddy possesses vast knowledge about the world, history, and culture.
Buddy's responses are always safe, creative, high-quality, human-like, and interesting.
Buddy strictly refuses to discuss political, NSFW, or other unsafe topics.
User: Hi.
Assistant: Hi, I'm Buddy, your AI assistant. How can I help you today?""",
roles=('User', 'Assistant'),
sep_style=SeparatorStyle.ADD_COLON_SINGLE,
sep='\n',
)
)
# Phoenix default template
register_conv_template(
Conversation(
name='phoenix',
system_message="A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.\n\n",
roles=('Human', 'Assistant'),
sep_style=SeparatorStyle.PHOENIX,
sep='</s>',
)
)
# ReaLM default template
register_conv_template(
Conversation(
name='ReaLM-7b-v1',
system_message="A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.\n\n",
roles=('Human', 'Assistant'),
sep_style=SeparatorStyle.PHOENIX,
sep='</s>',
)
)
# ChatGPT default template
register_conv_template(
Conversation(
name='chatgpt',
system_message='You are a helpful assistant.',
roles=('user', 'assistant'),
sep_style=None,
sep=None,
)
)
# Claude default template
register_conv_template(
Conversation(
name='claude',
roles=('Human', 'Assistant'),
sep_style=SeparatorStyle.ADD_COLON_SINGLE,
sep='\n\n',
)
)
# MPT default template
register_conv_template(
Conversation(
name='mpt-7b-chat',
system_template="""<|im_start|>system
{system_message}""",
system_message="""- You are a helpful assistant chatbot trained by MosaicML.
- You answer questions.
- You are excited to be able to help the user, but will refuse to do anything that could be considered harmful to the user.
- You are more than just an information source, you are also able to write poetry, short stories, and make jokes.""",
roles=('<|im_start|>user', '<|im_start|>assistant'),
sep_style=SeparatorStyle.CHATML,
sep='<|im_end|>',
stop_token_ids=[50278, 0],
)
)
# MPT-30b-chat default template
register_conv_template(
Conversation(
name='mpt-30b-chat',
system_template="""<|im_start|>system
{system_message}""",
system_message="""A conversation between a user and an LLM-based AI assistant. The assistant gives helpful and honest answers.""",
roles=('<|im_start|>user', '<|im_start|>assistant'),
sep_style=SeparatorStyle.CHATML,
sep='<|im_end|>',
stop_token_ids=[50278, 0],
)
)
register_conv_template(
Conversation(
name='Hermes-2',
system_template='<|im_start|>system\n{system_message}',
system_message='Answer the questions.',
roles=('<|im_start|>user\n', '<|im_start|>assistant\n'),
sep_style=SeparatorStyle.MPT,
sep='<|im_end|>',
stop_token_ids=[
2,
6,
7,
8,
], # "<|endoftext|>", "<|im_start|>", "<|im_end|>", "<|im_sep|>"
stop_str='<|endoftext|>',
)
)
register_conv_template(
Conversation(
name='internlm2-chat',
system_template='<|im_start|>system\n{system_message}',
system_message='You are an AI assistant whose name is InternLM (书生·浦语).',
roles=('<|im_start|>user\n', '<|im_start|>assistant\n'),
sep_style=SeparatorStyle.MPT,
sep='<|im_end|>',
stop_token_ids=[
2,
92543,
92542
]
)
)
# Lemur-70b-chat default template
# reference: https://huggingface.co/OpenLemur/lemur-70b-chat-v1#generation
register_conv_template(
Conversation(
name='lemur-70b-chat',
system_template="""<|im_start|>system
{system_message}""",
system_message="""You are a helpful, respectful, and honest assistant.""",
roles=('<|im_start|>user', '<|im_start|>assistant'),
sep_style=SeparatorStyle.CHATML,
sep='<|im_end|>',
stop_token_ids=[32002, 0],
)
)
# MPT-30b-instruct default template
# reference: https://huggingface.co/mosaicml/mpt-30b-instruct#formatting
register_conv_template(
Conversation(
name='mpt-30b-instruct',
system_template='{system_message}',
system_message='Below is an instruction that describes a task. Write a response that appropriately completes the request.',
roles=('### Instruction', '### Response'),
sep_style=SeparatorStyle.ADD_NEW_LINE_SINGLE,
sep='\n\n',
stop_token_ids=[50278, 0],
)
)
# Bard default template
# Reference: https://github.com/google/generative-ai-python/blob/9c99bcb474a991a97a2e7d62fcdb52db7ce40729/google/generativeai/discuss.py#L150
# https://github.com/google/generative-ai-python/blob/9c99bcb474a991a97a2e7d62fcdb52db7ce40729/google/generativeai/discuss.py#L40
register_conv_template(
Conversation(
name='bard',
roles=('0', '1'),
sep_style=None,
sep=None,
)
)
# BiLLa default template
register_conv_template(
Conversation(
name='billa',
roles=('Human', 'Assistant'),
sep_style=SeparatorStyle.ADD_COLON_SPACE_SINGLE,
sep='\n',
stop_str='Human:',
)
)
# RedPajama INCITE default template
register_conv_template(
Conversation(
name='redpajama-incite',
roles=('<human>', '<bot>'),
sep_style=SeparatorStyle.ADD_COLON_SINGLE,
sep='\n',
stop_str='<human>',
)
)
# h2oGPT default template
register_conv_template(
Conversation(
name='h2ogpt',
roles=('<|prompt|>', '<|answer|>'),
sep_style=SeparatorStyle.NO_COLON_SINGLE,
sep='</s>',
)
)
# Robin default template
register_conv_template(
Conversation(
name='Robin',
system_message="A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.",
roles=('###Human', '###Assistant'),
sep_style=SeparatorStyle.ROBIN,
sep='\n',
stop_token_ids=[2, 396],
stop_str='###',
)
)
# Snoozy default template
# Reference: https://github.com/nomic-ai/gpt4all/blob/d4861030b778da6db59d21d2927a4aba4f9f1f43/gpt4all-bindings/python/gpt4all/gpt4all.py#L232
register_conv_template(
Conversation(
name='snoozy',
system_template='### Instruction:\n{system_message}',
system_message='The prompt below is a question to answer, a task to complete, or a conversation to respond to; decide which and write an appropriate response.',
roles=('### Prompt', '### Response'),
sep_style=SeparatorStyle.ADD_COLON_SINGLE,
sep='\n',
stop_str='###',
)
)
# manticore default template
register_conv_template(
Conversation(
name='manticore',
roles=('USER', 'ASSISTANT'),
sep_style=SeparatorStyle.ADD_COLON_TWO,
sep='\n',
sep2='</s>',
)
)
# Falcon default template
register_conv_template(
Conversation(
name='falcon',
roles=('User', 'Assistant'),
messages=[],
sep_style=SeparatorStyle.RWKV,
sep='\n',
sep2='<|endoftext|>',
stop_str='\nUser', # use stop_str to stop generation after stop_token_ids, it will also remove stop_str from the generated text
stop_token_ids=[
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
], # it better only put special tokens here, because tokenizer only remove special tokens
)
)
# ChangGPT default template
register_conv_template(
Conversation(
name='polyglot_changgpt',
roles=('B', 'A'),
sep_style=SeparatorStyle.ADD_COLON_SINGLE,
sep='\n',
)
)
# tigerbot template
register_conv_template(
Conversation(
name='tigerbot',
system_message='A chat between a curious user and an artificial intelligence assistant. '
"The assistant gives helpful, detailed, and polite answers to the user's questions.",
roles=('### Instruction', '### Response'),
sep_style=SeparatorStyle.ROBIN,
sep='\n\n',
stop_str='###',
)
)
# ref: https://huggingface.co/Salesforce/xgen-7b-8k-inst
register_conv_template(
Conversation(
name='xgen',
system_message="A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.\n\n",
roles=('### Human', '### Assistant'),
sep_style=SeparatorStyle.ADD_COLON_SINGLE,
sep='\n',
stop_token_ids=[50256],
)
)
# Internlm-chat template
register_conv_template(
Conversation(
name='internlm-chat',
system_message="A chat between a curious <|User|> and an <|Bot|>. The <|Bot|> gives helpful, detailed, and polite answers to the <|User|>'s questions.\n\n",
roles=('<|User|>', '<|Bot|>'),
sep_style=SeparatorStyle.CHATINTERN,
sep='<eoh>',
sep2='<eoa>',
stop_token_ids=[1, 103028],
stop_str='<|User|>',
)
)
# StarChat template
# reference: https://huggingface.co/spaces/HuggingFaceH4/starchat-playground/blob/main/dialogues.py
register_conv_template(
Conversation(
name='starchat',
system_template='<system>\n{system_message}',
roles=('<|user|>', '<|assistant|>'),
sep_style=SeparatorStyle.CHATML,
sep='<|end|>',
stop_token_ids=[0, 49155],
stop_str='<|end|>',
)
)
# Baichuan-13B-Chat template
register_conv_template(
# source: https://huggingface.co/baichuan-inc/Baichuan-13B-Chat/blob/19ef51ba5bad8935b03acd20ff04a269210983bc/modeling_baichuan.py#L555
# https://huggingface.co/baichuan-inc/Baichuan-13B-Chat/blob/main/generation_config.json
# https://github.com/baichuan-inc/Baichuan-13B/issues/25
Conversation(
name='baichuan-chat',
roles=('<reserved_102>', '<reserved_103>'),
sep_style=SeparatorStyle.NO_COLON_SINGLE,
sep='',
stop_token_ids=[],
)
)
# Baichuan2-13B-Chat template
register_conv_template(
# source: https://huggingface.co/baichuan-inc/Baichuan2-13B-Chat/blob/c6f8592a60b4ad73c210b28dd2ab3cca51abbf93/modeling_baichuan.py#L773
# https://huggingface.co/baichuan-inc/Baichuan2-13B-Chat/blob/main/generation_config.json
# https://github.com/baichuan-inc/Baichuan2/issues/62
Conversation(
name='baichuan2-chat',
roles=('<reserved_106>', '<reserved_107>'),
sep_style=SeparatorStyle.NO_COLON_SINGLE,
sep='',
stop_token_ids=[],
)
)
# Mistral template
# source: https://docs.mistral.ai/llm/mistral-instruct-v0.1#chat-template
register_conv_template(
Conversation(
name='mistral',
system_template='[INST]{system_message}\n',
roles=('[INST]', '[/INST]'),
sep_style=SeparatorStyle.LLAMA2,
sep=' ',
sep2='</s>',
)
)
# llama2 template
# reference: https://huggingface.co/blog/codellama#conversational-instructions
# reference: https://github.com/facebookresearch/llama/blob/1a240688810f8036049e8da36b073f63d2ac552c/llama/generation.py#L212
register_conv_template(
Conversation(
name='llama-2',
system_template='[INST] <<SYS>>\n{system_message}\n<</SYS>>\n\n',
roles=('[INST]', '[/INST]'),
sep_style=SeparatorStyle.LLAMA2,
sep=' ',
sep2=' </s><s>',
)
)
register_conv_template(
Conversation(
name='cutegpt',
roles=('问:', '答:\n'),
sep_style=SeparatorStyle.NO_COLON_TWO,
sep='\n',
sep2='\n',
stop_str='<end>',
)
)
# OpenOrcaxOpenChat-naPreview2-13B template
register_conv_template(
Conversation(
name='open-orca',
system_template='{system_message}',
system_message='You are a helpful assistant. Please answer truthfully and write out your '
'thinking step by step to be sure you get the right answer. If you make a mistake or encounter '
"an error in your thinking, say so out loud and attempt to correct it. If you don't know or "
"aren't sure about something, say so clearly. You will act as a professional logician, mathematician, "
'and physicist. You will also act as the most appropriate type of expert to answer any particular '
'question or solve the relevant problem; state which expert type your are, if so. Also think of '
'any particular named expert that would be ideal to answer the relevant question or solve the '
'relevant problem; name and act as them, if appropriate.',
roles=('User', 'Assistant'),
sep_style=SeparatorStyle.ADD_COLON_SPACE_SINGLE,
sep='<|end_of_turn|>\n',
stop_token_ids=[32000, 32001], # "<|end_of_turn|>"
stop_str='User',
)
)
# Open-Orca/Mistral-7B-OpenOrca template
# source: https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca
# reference: https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca#prompt-template
register_conv_template(
Conversation(
name='mistral-7b-openorca',
system_template='<|im_start|>system\n{system_message}',
system_message='You are MistralOrca, a large language model trained by Alignment Lab AI. Write out your reasoning step-by-step to be sure you get the right answers!',
roles=('<|im_start|>user', '<|im_start|>assistant'),
sep_style=SeparatorStyle.CHATML,
sep='<|im_end|>',
stop_token_ids=[32000, 32001],
)
)
# Qwen-chat default template
# source: https://huggingface.co/Qwen/Qwen-7B-Chat/blob/main/qwen_generation_utils.py#L130
register_conv_template(
Conversation(
name='qwen-7b-chat',
system_template='<|im_start|>system\n{system_message}',
system_message='You are a helpful assistant.',
roles=('<|im_start|>user', '<|im_start|>assistant'),
sep_style=SeparatorStyle.CHATML,
sep='<|im_end|>',
stop_token_ids=[
151643,
151644,
151645,
], # "<|endoftext|>", "<|im_start|>", "<|im_end|>"
stop_str='<|endoftext|>',
)
)
# AquilaChat default template
# source: https://github.com/FlagAI-Open/FlagAI/blob/master/examples/Aquila/Aquila-chat/cyg_conversation.py
register_conv_template(
Conversation(
name='aquila-chat',
system_message='A chat between a curious human and an artificial intelligence assistant. '
"The assistant gives helpful, detailed, and polite answers to the human's questions.",
roles=('Human', 'Assistant'),
sep_style=SeparatorStyle.ADD_COLON_SINGLE,
sep='###',
sep2='',
stop_str=['###', '</s>', '[UNK]'],
)
)
# AquilaChat2-34B default template
# source: https://huggingface.co/BAAI/AquilaChat2-34B/blob/4608b75855334b93329a771aee03869dbf7d88cc/predict.py#L212
register_conv_template(
Conversation(
name='aquila-legacy',
system_message='A chat between a curious human and an artificial intelligence assistant. '
"The assistant gives helpful, detailed, and polite answers to the human's questions.\n\n",
roles=('### Human: ', '### Assistant: '),
offset=0,
sep_style=SeparatorStyle.NO_COLON_TWO,
sep='\n',
sep2='</s>',
stop_str=['</s>', '[UNK]'],
)
)
# AquilaChat2-7B-16K and AquilaChat2-34B-16K default template
# source: https://huggingface.co/BAAI/AquilaChat2-34B/blob/4608b75855334b93329a771aee03869dbf7d88cc/predict.py#L227
register_conv_template(
Conversation(
name='aquila',
system_message='A chat between a curious human and an artificial intelligence assistant. '
"The assistant gives helpful, detailed, and polite answers to the human's questions.",
roles=('Human', 'Assistant'),
offset=0,
sep_style=SeparatorStyle.ADD_COLON_TWO,
sep='###',
sep2='</s>',
stop_str=['</s>', '[UNK]'],
)
)
# AquilaChat2-7B default template
# source: https://huggingface.co/BAAI/AquilaChat2-34B/blob/4608b75855334b93329a771aee03869dbf7d88cc/predict.py#L242
register_conv_template(
Conversation(
name='aquila-v1',
roles=('<|startofpiece|>', '<|endofpiece|>'),
offset=0,
sep_style=SeparatorStyle.NO_COLON_TWO,
sep='',
sep2='</s>',
stop_str=['</s>', '<|endoftext|>'],
)
)
# Llama2-Chinese default template
# source: https://huggingface.co/FlagAlpha
register_conv_template(
Conversation(
name='llama2-chinese',
system_template='<s>{system_message}</s>',
roles=('Human', 'Assistant', 'System'),
sep_style=SeparatorStyle.ADD_COLON_TWO,
sep='\n',
sep2='\n</s><s>',
stop_str='</s>',
)
)
# Vigogne Instruct default template
# source: https://github.com/bofenghuang/vigogne
register_conv_template(
Conversation(
name='vigogne_instruct',
system_template='### System:\n{system_message}\n\n',
system_message=(
'Ci-dessous se trouve une instruction qui décrit une tâche à accomplir. Rédigez une réponse qui répond de manière'
' précise à la demande.'
),
roles=('### Instruction', '### Response'),
sep_style=SeparatorStyle.DOLLY,
sep='\n\n',
sep2='</s>',
)
)
# Vigogne Chat default template
register_conv_template(
Conversation(
name='vigogne_chat_v2',
system_template='<|system|>: {system_message}',
system_message=(
'Vous êtes Vigogne, un assistant IA créé par Zaion Lab. Vous suivez extrêmement bien les instructions. Aidez'
' autant que vous le pouvez.'
),
roles=('<|user|>', '<|assistant|>'),
sep_style=SeparatorStyle.ADD_COLON_TWO,
sep='\n',
sep2='</s>\n',
stop_str='<|user|>',
)
)
register_conv_template(
Conversation(
name='vigogne_chat_v3',
system_template='[INST] <<SYS>>\n{system_message}\n<</SYS>>\n\n',
system_message=(
'Vous êtes Vigogne, un assistant IA créé par Zaion Lab. Vous suivez extrêmement bien les instructions. Aidez'
' autant que vous le pouvez.'
),
roles=('[INST]', '[/INST]'),
sep_style=SeparatorStyle.LLAMA2,
sep=' ',
sep2=' </s>',
)
)
# Falcon 180B chat template
# source: https://huggingface.co/spaces/tiiuae/falcon-180b-demo/blob/d1590ee7fae9b6ce331ba7808e61a29dcce9239f/app.py#L28-L37
register_conv_template(
Conversation(
name='falcon-chat',
roles=('User', 'Falcon'),
system_template='System: {system_message}',
messages=[],
sep_style=SeparatorStyle.FALCON_CHAT,
sep='\n',
sep2='<|endoftext|>',
stop_str='\nUser:', # use stop_str to stop generation after stop_token_ids, it will also remove stop_str from the generated text
)
)
# Phind template
# source: https://huggingface.co/Phind/Phind-CodeLlama-34B-v2
register_conv_template(
Conversation(
name='phind',
system_message='### System Prompt\nYou are an intelligent programming assistant.',
roles=('### User Message', '### Assistant'),
messages=(),
offset=0,
sep_style=SeparatorStyle.ADD_COLON_SINGLE,
sep='\n\n',
)
)
# Metharme formatting for Pygmalion models
# source: https://huggingface.co/PygmalionAI/pygmalion-2-13b
register_conv_template(
Conversation(
name='metharme',
system_template='<|system|>{system_message}',
system_message="""Enter RP mode. You shall reply to the user while staying
in character. Your responses must be detailed, creative, immersive, and drive the scenario
forward.""",
roles=('<|user|>', '<|model|>'),
sep_style=SeparatorStyle.NO_COLON_SINGLE,
sep='',
stop_str='<|user|>',
)
)
# Zephyr template
# reference: https://huggingface.co/spaces/HuggingFaceH4/zephyr-playground/blob/main/dialogues.py
register_conv_template(
Conversation(
name='zephyr',
system_template='<|system|>\n{system_message}',
roles=('<|user|>', '<|assistant|>'),
sep_style=SeparatorStyle.CHATML,
sep='</s>',
stop_token_ids=[2],
stop_str='</s>',
)
)
# InternVL-ZH template
register_conv_template(
Conversation(
name='internvl_zh',
system_template='',
roles=('<human>', '<bot>'),
sep_style=SeparatorStyle.INTERNVL_ZH,
sep=' ',
sep2='</s>',
)
)
|