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# coding=utf-8
# Copyright 2025 the SB Intuitions.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Sarashina2Vision model configuration"""
from typing import Any, Optional
from transformers import LlamaConfig, PretrainedConfig
from transformers.models.qwen2_vl.configuration_qwen2_vl import Qwen2VLVisionConfig
from transformers.utils import logging
logger = logging.get_logger(__name__)
class Sarashina2VisionConfig(PretrainedConfig):
"""
This is the configuration class to store the configuration of a [`Sarashina2VisionModel`]. It is used to instantiate a
Sarashina2Vision model according to the specified arguments, defining the model architecture.
Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the
documentation from [`PretrainedConfig`] for more information.
Args:
vision_config (`Dict`, *optional*):
The config for the visual encoder initialization.
text_config (`Dict`, *optional*):
The config for the text decoder initialization.
image_token_index (`int`):
image token id.
start_image_token_index (`int`):
start image token id.
end_image_token_index (`int`):
end image token id.
"""
model_type = "sarashina2_vision"
def __init__(
self,
vision_config: Optional[dict[str, Any]] = None,
text_config: Optional[dict[str, Any]] = None,
image_token_index: int = 14,
start_image_token_index: int = 102397,
end_image_token_index: int = 102398,
**kwargs,
):
if isinstance(text_config, dict):
self.text_config = LlamaConfig(**text_config)
elif isinstance(text_config, LlamaConfig):
self.text_config = text_config
elif text_config is None:
self.text_config = LlamaConfig()
if isinstance(vision_config, dict):
self.vision_config = Qwen2VLVisionConfig(**vision_config)
elif isinstance(vision_config, Qwen2VLVisionConfig):
self.vision_config = vision_config
elif vision_config is None:
self.vision_config = Qwen2VLVisionConfig()
self.image_token_index = image_token_index
self.start_image_token_index = start_image_token_index
self.end_image_token_index = end_image_token_index
super().__init__(**kwargs)
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