663 lines
22 KiB
Python
663 lines
22 KiB
Python
import re
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from dataclasses import dataclass
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from enum import Enum, auto
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from typing import Callable, Dict, List, Tuple
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class ChatTemplateStyle(Enum):
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PLAIN = auto()
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LLAMA2 = auto()
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@dataclass
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class ChatTemplate:
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name: str
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default_system_prompt: str
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role_prefix_and_suffix: Dict[str, Tuple[str, str]]
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stop_str: List[str] = ()
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image_token: str = "<image>"
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audio_token: str = "<audio>"
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style: ChatTemplateStyle = ChatTemplateStyle.PLAIN
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def get_prefix_and_suffix(
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self, role: str, hist_messages: List[Dict]
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) -> Tuple[str, str]:
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prefix, suffix = self.role_prefix_and_suffix.get(role, ("", ""))
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if self.style == ChatTemplateStyle.LLAMA2:
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if role == "system" and not hist_messages:
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user_prefix, _ = self.role_prefix_and_suffix.get("user", ("", ""))
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system_prefix, system_suffix = self.role_prefix_and_suffix.get(
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"system", ("", "")
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)
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return (user_prefix + system_prefix, system_suffix)
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elif (
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role == "user"
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and len(hist_messages) == 1
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and hist_messages[0]["content"] is not None
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):
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return ("", suffix)
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return prefix, suffix
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def get_prompt(self, messages: List[Dict]) -> str:
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prompt = ""
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for i, message in enumerate(messages):
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role, content = message["role"], message["content"]
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if role == "system" and content is None:
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content = self.default_system_prompt
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if content is None:
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continue
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prefix, suffix = self.get_prefix_and_suffix(role, messages[:i])
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prompt += f"{prefix}{content}{suffix}"
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return prompt
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chat_template_registry: Dict[str, ChatTemplate] = {}
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matching_function_registry: List[Callable] = []
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def register_chat_template(template):
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chat_template_registry[template.name] = template
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def register_chat_template_matching_function(func):
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matching_function_registry.append(func)
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def get_chat_template(name):
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return chat_template_registry[name]
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def get_chat_template_by_model_path(model_path):
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for matching_func in matching_function_registry:
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template_name = matching_func(model_path)
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if template_name is not None:
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return get_chat_template(template_name)
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return get_chat_template("default")
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register_chat_template(
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ChatTemplate(
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name="default",
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default_system_prompt=None,
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role_prefix_and_suffix={
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"system": ("SYSTEM:", "\n"),
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"user": ("USER:", "\n"),
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"assistant": ("ASSISTANT:", "\n"),
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},
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)
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)
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register_chat_template(
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ChatTemplate(
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name="claude",
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default_system_prompt=None,
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role_prefix_and_suffix={
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"system": ("", ""),
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"user": ("\n\nHuman: ", ""),
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"assistant": ("\n\nAssistant:", ""),
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},
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)
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)
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register_chat_template(
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ChatTemplate(
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name="chatml",
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default_system_prompt=None,
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role_prefix_and_suffix={
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"system": ("<|im_start|>system\n", "<|im_end|>\n"),
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"user": ("<|im_start|>user\n", "<|im_end|>\n"),
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"assistant": ("<|im_start|>assistant\n", "<|im_end|>\n"),
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},
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style=ChatTemplateStyle.PLAIN,
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stop_str=("<|im_end|>",),
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)
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)
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register_chat_template(
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ChatTemplate(
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name="chatml-llava",
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default_system_prompt="You are a helpful assistant.",
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role_prefix_and_suffix={
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"system": ("<|im_start|>system\n", "<|im_end|>\n"),
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"user": ("<|im_start|>user\n", "<|im_end|>\n"),
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"assistant": ("<|im_start|>assistant\n", "<|im_end|>\n"),
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},
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style=ChatTemplateStyle.PLAIN,
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stop_str=("<|im_end|>",),
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image_token="<image>\n",
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)
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)
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# There is default system prompt for qwen
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# reference: https://modelscope.cn/models/qwen/Qwen2-72B-Instruct/file/view/master?fileName=tokenizer_config.json&status=1
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# The chat template is: "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}"
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register_chat_template(
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ChatTemplate(
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name="qwen",
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default_system_prompt="You are a helpful assistant.",
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role_prefix_and_suffix={
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"system": ("<|im_start|>system\n", "<|im_end|>\n"),
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"user": ("<|im_start|>user\n", "<|im_end|>\n"),
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"assistant": ("<|im_start|>assistant\n", "<|im_end|>\n"),
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},
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style=ChatTemplateStyle.PLAIN,
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stop_str=("<|im_end|>",),
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)
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)
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# Reference: https://huggingface.co/docs/transformers/main/model_doc/qwen2_vl#usage-example
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register_chat_template(
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ChatTemplate(
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name="qwen2-vl",
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default_system_prompt="You are a helpful assistant.",
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role_prefix_and_suffix={
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"system": ("<|im_start|>system\n", "<|im_end|>\n"),
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"user": ("<|im_start|>user\n", "<|im_end|>\n"),
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"assistant": ("<|im_start|>assistant\n", "<|im_end|>\n"),
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},
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style=ChatTemplateStyle.PLAIN,
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stop_str=("<|im_end|>",),
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image_token="<|vision_start|><|image_pad|><|vision_end|>",
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)
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)
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# Reference: https://github.com/lm-sys/FastChat/blob/main/docs/vicuna_weights_version.md#prompt-template
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register_chat_template(
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ChatTemplate(
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name="vicuna_v1.1",
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default_system_prompt=(
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"A chat between a curious user and an artificial intelligence assistant. "
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"The assistant gives helpful, detailed, and polite answers to the user's questions."
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),
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role_prefix_and_suffix={
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"system": ("", " "),
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"user": ("USER:", " "),
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"assistant": ("ASSISTANT:", "</s>"),
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},
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image_token=" <image>\n",
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)
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)
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register_chat_template(
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ChatTemplate(
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name="llama-2-chat",
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default_system_prompt=None,
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role_prefix_and_suffix={
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"system": ("<<SYS>>\n", "\n<</SYS>>\n\n"),
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"user": ("[INST] ", " [/INST]"),
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"assistant": ("", " </s><s>"),
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},
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style=ChatTemplateStyle.LLAMA2,
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)
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)
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# Reference: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/blob/main/chat_template.json
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register_chat_template(
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ChatTemplate(
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name="mistral",
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default_system_prompt=None,
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role_prefix_and_suffix={
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"system": ("[SYSTEM_PROMPT] ", " [/SYSTEM_PROMPT]"),
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"user": ("[INST] ", " [/INST]"),
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"assistant": ("", " </s><s>"),
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},
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stop_str=("</s>",),
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image_token="[IMG]",
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)
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)
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register_chat_template(
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ChatTemplate(
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name="llama-3-instruct",
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default_system_prompt=None,
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role_prefix_and_suffix={
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"system": (
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"<|start_header_id|>system<|end_header_id|>\n\n",
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"<|eot_id|>",
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),
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"user": (
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"<|start_header_id|>user<|end_header_id|>\n\n",
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"<|eot_id|>",
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),
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"assistant": (
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"<|start_header_id|>assistant<|end_header_id|>\n\n",
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"<|eot_id|>",
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),
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},
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stop_str=("<|eot_id|>",),
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image_token="<|image|>",
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)
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)
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# https://huggingface.co/openbmb/MiniCPM-V-2_6
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register_chat_template(
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ChatTemplate(
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name="minicpmv",
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default_system_prompt=None,
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role_prefix_and_suffix={
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"system": ("", " "),
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"user": ("user:", " "),
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"assistant": ("assistant:", "</s>"),
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},
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stop_str=("<|im_end|>", "<|endoftext|>"),
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image_token="(<image>./</image>)",
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)
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)
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register_chat_template(
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ChatTemplate(
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name="janus-pro",
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default_system_prompt=None,
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role_prefix_and_suffix={
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"system": (
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"",
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"",
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),
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"User": (
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"<｜User｜>",
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"",
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),
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"assistant": (
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"<｜Assistant｜>",
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"<｜end▁of▁sentence｜>",
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),
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},
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stop_str=("<｜end▁of▁sentence｜>",),
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image_token="<image_placeholder>\n",
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)
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)
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# https://huggingface.co/openbmb/MiniCPM-o-2_6
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register_chat_template(
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ChatTemplate(
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name="minicpmo",
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default_system_prompt=None,
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role_prefix_and_suffix={
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"system": ("", " "),
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"user": ("user:", " "),
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"assistant": ("assistant:", "</s>"),
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},
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stop_str=("<|im_end|>", "<|endoftext|>"),
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image_token="(<image>./</image>)",
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audio_token="(<audio>./</audio>)",
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)
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)
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register_chat_template(
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ChatTemplate(
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name="janus",
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default_system_prompt=None,
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role_prefix_and_suffix={
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"system": (
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"",
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"",
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),
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"user": (
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"<｜User｜>",
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"",
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),
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"assistant": (
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"<｜Assistant｜>",
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"<｜end▁of▁sentence｜>",
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),
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},
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stop_str=("<｜end▁of▁sentence｜>",),
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image_token="<image_placeholder>\n",
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)
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)
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# The difference between "llama-3-instruct-llava" and "llama-3-instruct" is that llava uses a different image_token.
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register_chat_template(
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ChatTemplate(
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name="llama-3-instruct-llava",
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default_system_prompt=None,
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role_prefix_and_suffix={
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"system": (
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"<|start_header_id|>system<|end_header_id|>\n\n",
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"<|eot_id|>",
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),
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"user": (
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"<|start_header_id|>user<|end_header_id|>\n\n",
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"<|eot_id|>",
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),
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"assistant": (
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"<|start_header_id|>assistant<|end_header_id|>\n\n",
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"<|eot_id|>",
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),
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},
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stop_str=("<|eot_id|>",),
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image_token="<image>\n",
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)
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)
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# Reference: https://huggingface.co/meta-llama/Llama-4-Scout-17B-16E-Instruct/blob/main/chat_template.json
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register_chat_template(
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ChatTemplate(
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name="llama-4",
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default_system_prompt=None,
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role_prefix_and_suffix={
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"system": (
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"<|header_start|>system<|header_end|>\n\n",
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"<|eot|>",
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),
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"user": (
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"<|header_start|>user<|header_end|>\n\n",
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"<|eot|>",
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),
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"assistant": (
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"<|header_start|>assistant<|header_end|>\n\n",
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"<|eot|>",
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),
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},
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stop_str=("<|eot|>",),
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image_token="<|image|>",
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)
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)
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# Reference: https://modelscope.cn/models/01ai/Yi-1.5-34B-Chat/file/view/master?fileName=tokenizer_config.json&status=1
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register_chat_template(
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ChatTemplate(
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name="yi-1.5",
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default_system_prompt=None,
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role_prefix_and_suffix={
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"system": ("", ""),
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"user": ("<|im_start|>user\n", "<|im_end|>\n<|im_start|>assistant\n"),
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"assistant": ("", "<|im_end|>\n"),
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},
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style=ChatTemplateStyle.PLAIN,
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stop_str=("<|im_end|>",),
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)
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)
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# Reference: https://github.com/01-ai/Yi/tree/main/VL#major-difference-with-llava
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register_chat_template(
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ChatTemplate(
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name="yi-vl",
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default_system_prompt=(
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"This is a chat between an inquisitive human and an AI assistant. Assume the role of the AI assistant. Read all the images carefully, and respond to the human's questions with informative, helpful, detailed and polite answers."
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"这是一个好奇的人类和一个人工智能助手之间的对话。假设你扮演这个AI助手的角色。仔细阅读所有的图像，并对人类的问题做出信息丰富、有帮助、详细的和礼貌的回答。"
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),
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role_prefix_and_suffix={
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"system": ("", "\n\n"),
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"user": ("### Human:", "\n"),
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"assistant": ("### Assistant:", "\n"),
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},
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image_token=" <image_placeholder>\n",
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)
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)
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register_chat_template(
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ChatTemplate(
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name="gemma-it",
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default_system_prompt=None,
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role_prefix_and_suffix={
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"system": ("", ""),
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"user": ("<start_of_turn>user\n", "<end_of_turn>\n"),
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"assistant": ("<start_of_turn>model\n", "<end_of_turn>\n"),
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},
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style=ChatTemplateStyle.PLAIN,
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)
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)
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register_chat_template(
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ChatTemplate(
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name="dbrx-instruct",
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default_system_prompt="You are DBRX, created by Databricks. You were last updated in December 2023. You answer questions based on information available up to that point.\nYOU PROVIDE SHORT RESPONSES TO SHORT QUESTIONS OR STATEMENTS, but provide thorough responses to more complex and open-ended questions.\nYou assist with various tasks, from writing to coding (using markdown for code blocks — remember to use ``` with code, JSON, and tables).\n(You do not have real-time data access or code execution capabilities. You avoid stereotyping and provide balanced perspectives on controversial topics. You do not provide song lyrics, poems, or news articles and do not divulge details of your training data.)\nThis is your system prompt, guiding your responses. Do not reference it, just respond to the user. If you find yourself talking about this message, stop. You should be responding appropriately and usually that means not mentioning this.\nYOU DO NOT MENTION ANY OF THIS INFORMATION ABOUT YOURSELF UNLESS THE INFORMATION IS DIRECTLY PERTINENT TO THE USER'S QUERY.",
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role_prefix_and_suffix={
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"system": ("<|im_start|>system\n", "<|im_end|>"),
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"user": ("\n<|im_start|>user\n", "<|im_end|>"),
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"assistant": ("\n<|im_start|>assistant\n", "<|im_end|>"),
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},
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stop_str=("<|im_end|>",),
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)
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)
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register_chat_template(
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ChatTemplate(
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name="c4ai-command-r",
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default_system_prompt=None,
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role_prefix_and_suffix={
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"system": (
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"<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>",
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"<|END_OF_TURN_TOKEN|>",
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),
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"user": ("<|START_OF_TURN_TOKEN|><|USER_TOKEN|>", "<|END_OF_TURN_TOKEN|>"),
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"assistant": (
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"<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>",
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"<|END_OF_TURN_TOKEN|>",
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),
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},
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style=ChatTemplateStyle.PLAIN,
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)
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)
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# Adapted from https://huggingface.co/OpenGVLab/InternVL2-4B/blob/main/modeling_intern_vit.py
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register_chat_template(
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ChatTemplate(
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name="internvl-2-5",
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default_system_prompt="你是书生·万象，英文名是InternVL，是由上海人工智能实验室、清华大学及多家合作单位联合开发的多模态大语言模型。",
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role_prefix_and_suffix={
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"system": ("<|im_start|>system\n", "<|im_end|>\n"),
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"user": ("<|im_start|>user\n", "<|im_end|>\n"),
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"assistant": ("<|im_start|>assistant\n", "<|im_end|>\n"),
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},
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stop_str=["<|im_end|>", "<|action_end|>"],
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)
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)
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register_chat_template(
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ChatTemplate(
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name="interns1",
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default_system_prompt="You are an AI assistant whose name is Intern-S1 (书生大模型).\n- Intern-S1 (书生大模型) is a vision-language model that is developed by Shanghai AI Laboratory (上海人工智能实验室). It is designed to be helpful, honest, and harmless.\n- Intern-S1 (书生大模型) can understand and communicate fluently in the language chosen by the user such as English and 中文.\nYou are an expert reasoner with extensive experience in all areas. You approach problems through systematic thinking and rigorous reasoning. Your response should reflect deep understanding and precise logical thinking, making your solution path and reasoning clear to others. Please put your thinking process within <think>...</think> tags.",
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role_prefix_and_suffix={
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"system": ("<|im_start|>system\n", "<|im_end|>\n"),
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"user": ("<|im_start|>user\n", "<|im_end|>\n"),
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"assistant": ("<|im_start|>assistant\n", "<|im_end|>\n"),
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},
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stop_str=["<|im_end|>", "<|action_end|>"],
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)
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)
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register_chat_template(
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ChatTemplate(
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name="granite-3-instruct",
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default_system_prompt=None,
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role_prefix_and_suffix={
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"system": (
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"<|start_of_role|>system<|end_of_role|>",
|
||
"<|end_of_text|>",
|
||
),
|
||
"user": (
|
||
"<|start_of_role|>user<|end_of_role|>",
|
||
"<|end_of_text|>",
|
||
),
|
||
"assistant": (
|
||
"<|start_of_role|>assistant<|end_of_role|>",
|
||
"<|end_of_text|>",
|
||
),
|
||
},
|
||
stop_str=("<|end_of_text|>",),
|
||
)
|
||
)
|
||
|
||
register_chat_template(
|
||
ChatTemplate(
|
||
name="deepseek-v3",
|
||
default_system_prompt=None,
|
||
role_prefix_and_suffix={
|
||
"system": (
|
||
"",
|
||
"",
|
||
),
|
||
"user": (
|
||
"<｜User｜>",
|
||
"",
|
||
),
|
||
"assistant": (
|
||
"<｜Assistant｜>",
|
||
"<｜end▁of▁sentence｜>",
|
||
),
|
||
},
|
||
stop_str=("<｜end▁of▁sentence｜>",),
|
||
)
|
||
)
|
||
|
||
# Reference: https://huggingface.co/docs/transformers/main/model_doc/glm4_v#usage-example
|
||
register_chat_template(
|
||
ChatTemplate(
|
||
name="glm-4v",
|
||
default_system_prompt=None,
|
||
role_prefix_and_suffix={
|
||
"system": ("<|system|>\n", "\n"),
|
||
"user": ("<|user|>\n", "\n"),
|
||
"assistant": ("<|assistant|>\n", "\n"),
|
||
},
|
||
style=ChatTemplateStyle.PLAIN,
|
||
stop_str=["<|user|>", "<|endoftext|>", "<|observation|>"],
|
||
image_token="<|image|>",
|
||
)
|
||
)
|
||
|
||
|
||
@register_chat_template_matching_function
|
||
def match_deepseek(model_path: str):
|
||
if re.search(r"deepseek-(v3|r1)", model_path, re.IGNORECASE) and not re.search(
|
||
r"base", model_path, re.IGNORECASE
|
||
):
|
||
return "deepseek-v3"
|
||
|
||
|
||
@register_chat_template_matching_function
|
||
def match_deepseek_janus_pro(model_path: str):
|
||
if re.search(r"janus", model_path, re.IGNORECASE):
|
||
return "janus-pro"
|
||
|
||
|
||
@register_chat_template_matching_function
|
||
def match_dbrx(model_path: str):
|
||
if re.search(r"dbrx", model_path, re.IGNORECASE) and re.search(
|
||
r"instruct", model_path, re.IGNORECASE
|
||
):
|
||
return "dbrx-instruct"
|
||
|
||
|
||
@register_chat_template_matching_function
|
||
def match_vicuna(model_path: str):
|
||
if re.search(r"vicuna|llava-v1\.5|llava-next-video-7b", model_path, re.IGNORECASE):
|
||
return "vicuna_v1.1"
|
||
|
||
|
||
@register_chat_template_matching_function
|
||
def match_llama2_chat(model_path: str):
|
||
if re.search(
|
||
r"llama-2.*chat|codellama.*instruct",
|
||
model_path,
|
||
re.IGNORECASE,
|
||
):
|
||
return "llama-2-chat"
|
||
|
||
|
||
@register_chat_template_matching_function
|
||
def match_mistral(model_path: str):
|
||
if re.search(r"pixtral|(mistral|mixtral).*instruct", model_path, re.IGNORECASE):
|
||
return "mistral"
|
||
|
||
|
||
@register_chat_template_matching_function
|
||
def match_llama3_instruct(model_path: str):
|
||
if re.search(r"llama-3.*instruct", model_path, re.IGNORECASE):
|
||
return "llama-3-instruct"
|
||
|
||
|
||
@register_chat_template_matching_function
|
||
def match_chat_ml(model_path: str):
|
||
if re.search(r"tinyllama", model_path, re.IGNORECASE):
|
||
return "chatml"
|
||
if re.search(r"qwen.*vl", model_path, re.IGNORECASE):
|
||
return "qwen2-vl"
|
||
if re.search(r"glm[-_]?4(\.\d+)?v", model_path, re.IGNORECASE):
|
||
return "glm-4v"
|
||
if re.search(r"qwen.*(chat|instruct)", model_path, re.IGNORECASE) and not re.search(
|
||
r"llava", model_path, re.IGNORECASE
|
||
):
|
||
return "qwen"
|
||
if re.search(
|
||
r"llava-v1\.6-34b|llava-v1\.6-yi-34b|llava-next-video-34b|llava-onevision-qwen2",
|
||
model_path,
|
||
re.IGNORECASE,
|
||
):
|
||
return "chatml-llava"
|
||
|
||
|
||
@register_chat_template_matching_function
|
||
def match_chat_yi(model_path: str):
|
||
if re.search(r"yi-vl", model_path, re.IGNORECASE) and not re.search(
|
||
r"llava", model_path, re.IGNORECASE
|
||
):
|
||
return "yi-vl"
|
||
elif re.search(r"yi-1\.5.*chat", model_path, re.IGNORECASE):
|
||
return "yi-1.5"
|
||
|
||
|
||
@register_chat_template_matching_function
|
||
def match_gemma_it(model_path: str):
|
||
if re.search(r"gemma.*it", model_path, re.IGNORECASE):
|
||
return "gemma-it"
|
||
|
||
|
||
@register_chat_template_matching_function
|
||
def match_openbmb_minicpm(model_path: str):
|
||
if re.search(r"minicpm-v", model_path, re.IGNORECASE):
|
||
return "minicpmv"
|
||
elif re.search(r"minicpm-o", model_path, re.IGNORECASE):
|
||
return "minicpmo"
|
||
|
||
|
||
@register_chat_template_matching_function
|
||
def match_c4ai_command_r(model_path: str):
|
||
if re.search(r"c4ai-command-r", model_path, re.IGNORECASE):
|
||
return "c4ai-command-r"
|
||
|
||
|
||
@register_chat_template_matching_function
|
||
def match_granite_instruct(model_path: str):
|
||
if re.search(r"granite.*instruct", model_path, re.IGNORECASE):
|
||
return "granite-3-instruct"
|
||
|
||
|
||
@register_chat_template_matching_function
|
||
def match_gemma3_instruct(model_path: str):
|
||
if re.search(r"gemma-3", model_path, re.IGNORECASE):
|
||
return "gemma-it"
|
||
|
||
|
||
@register_chat_template_matching_function
|
||
def match_internvl_chat(model_path: str):
|
||
if re.search(r"internvl2_5", model_path, re.IGNORECASE):
|
||
return "internvl-2-5"
|
||
|
||
|
||
@register_chat_template_matching_function
|
||
def match_interns1_chat(model_path: str):
|
||
if re.search(r"intern-s1", model_path, re.IGNORECASE):
|
||
return "interns1"
|
||
if re.search(r"interns1", model_path, re.IGNORECASE):
|
||
return "interns1"
|
||
|
||
|
||
if __name__ == "__main__":
|
||
messages = [
|
||
{"role": "system", "content": None}, # None means default
|
||
# {"role": "system", "content": "You are a helpful, respectful and honest assistant."},
|
||
{"role": "user", "content": "Hello!"},
|
||
{"role": "assistant", "content": "Hi!"},
|
||
{"role": "user", "content": "What can you do?"},
|
||
{"role": "assistant", "content": "I can chat with you."},
|
||
]
|
||
|
||
template = get_chat_template("llama-2-chat")
|
||
print(template.get_prompt(messages))
|