vllm.transformers_utils.configs.kimi_vl ¶

class KimiVLConfig(PretrainedConfig):
    model_type = "kimi_vl"

    def __init__(
        self,
        vision_config: dict | MoonViTConfig | None = None,
        text_config: dict | DeepseekV2Config | None = None,
        ignore_index: int = -100,
        media_placeholder_token_id: int = 163605,
        pad_token_id: int = 0,
        **kwargs,
    ):
        if vision_config is None:
            vision_config = MoonViTConfig()
        elif isinstance(vision_config, dict):
            vision_config = MoonViTConfig(**vision_config)
        self.vision_config = vision_config

        if text_config is None:
            text_config = DeepseekV2Config()
        elif isinstance(text_config, dict):
            text_config = DeepseekV2Config(**text_config)
        self.text_config = text_config

        self.ignore_index = ignore_index
        self.media_placeholder_token_id = media_placeholder_token_id

        super().__init__(pad_token_id=pad_token_id, **kwargs)