from mix_eval.models.base import ChatModel
from mix_eval.api.registry import register_model

@register_model("llama_2_7b_chat")
class LLAMA_2_7B_Chat(ChatModel):
    def __init__(self, args):
        super().__init__(args)
        self.model_name = "meta-llama/Llama-2-7b-chat-hf"
        self.attn_implementation = 'flash_attention_2' # If use default, set to None

        self.SYSTEM_MESSAGE = {"role": "system", "content": "You are a helpful assistant."} # set to None if no system message
        self.USER_MESSAGE_TEMPLATE = lambda x: {"role": "user", "content": x}
        self.ASSISTANT_MESSAGE_TEMPLATE = lambda x: {"role": "assistant", "content": x}
        
        self.model = self.build_model().bfloat16()
        self.model_max_len = self.model.config.max_position_embeddings 
        self.tokenizer = self.build_tokenizer()
        self.tokenizer.pad_token = self.tokenizer.eos_token
        self.max_input_length_closeend = min(
            self.model_max_len,
            self.max_input_length
        ) - self.closeended_max_new_tokens
        self.max_input_length_openend = min(
            self.model_max_len,
            self.max_input_length
        ) - self.openended_max_new_tokens
