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tulu-sft-12b-ep2

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tulu-sft-12b-ep2
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from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("MarsupialAI/Monstral-123B-v2")

chat = [
    {"role": "system", "content": "3525265246346?"},
    {"role": "user", "content": "Hello, how are you?I'm doing great. How can I help you today?I'm doing great. How can I help you today?I'm doing great. How can I help you today?I'm doing great. How can I help you today?I'm doing great. How can I help you today?"},
    {"role": "assistant", "content": "I'm doing great. How can I help you today?"},
    {"role": "user", "content": "I'd like to show off how chat templating works!"},
]
print(tokenizer.apply_chat_template(chat, tokenize=False, add_generation_prompt=True))
def apply_chat_template_with_length_limit(tokenizer, conversations, max_length, chat_template=None):
    """
    Apply a chat template with a length limit.

    Parameters:
    - tokenizer: The tokenizer object that provides the apply_chat_template method.
    - conversations: List of messages to include in the chat.
    - max_length: Maximum token length allowed.
    - chat_template: Optional custom chat template.

    Returns:
    - A string containing the chat template filled with valid messages.
    """
    # 确保至少有一条消息
    if not conversations:
        return ""
    
    # 保留第一条消息
    first_msg = conversations[0]
    remaining_msgs = conversations[1:]
    
    valid_conv = []
    
    # 计算模板和第一条消息需要的token数
    template_tokens = len(tokenizer.apply_chat_template([first_msg], chat_template=chat_template))
    if template_tokens <= max_length:
        valid_conv.append(first_msg)
        remaining_length = max_length - template_tokens
    else:
        # 第一条消息超出限制，跳过
        remaining_length = max_length
    
    # 从旧到新逐条添加消息
    for message in remaining_msgs:
        # 临时添加当前消息
        temp_conv = valid_conv + [message]
        tokens = tokenizer.apply_chat_template(temp_conv, chat_template=chat_template)
        
        # 检查添加这条消息后是否超长
        if len(tokens) <= max_length:
            valid_conv = temp_conv
            remaining_length -= len(tokens) - (
                template_tokens if len(valid_conv) == 1 else 0
            )
        else:
            break

    return tokenizer.apply_chat_template(valid_conv, tokenize=False, add_generation_prompt=True, chat_template=chat_template)


#re = apply_chat_template_with_length_limit(tokenizer,chat, 100)
#print(re)