Upload configuration_minicpmv.py with huggingface_hub
Browse files- configuration_minicpmv.py +50 -0
configuration_minicpmv.py
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# coding=utf-8
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# Copyright 2024 Rhapsody AI and ModelBest Inc. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from transformers import PretrainedConfig
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from .modeling_siglip import SiglipVisionConfig
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# from .modeling_minicpm import MiniCPMConfig
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from .configuration_minicpm import MiniCPMConfig
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from .configuration_siglip import SiglipVisionConfig
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from transformers.utils import logging
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logger = logging.get_logger(__name__)
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class MiniCPMVConfig(PretrainedConfig):
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model_type = "minicpmv"
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def __init__(self, vpm_config=None, llm_config=None, query_num=64, drop_vision_last_layer=False, slice_mode=True, max_slice_nums=9, mm_use_im_start_end=True, **kwargs):
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super().__init__(**kwargs)
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if vpm_config is None:
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vpm_config = {}
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logger.info("`vpm_config` is `None`. Initializing the `SiglipVisionConfig` with default values.")
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if llm_config is None:
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llm_config = {}
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logger.info("`llm_config` is `None`. initializing the `MiniCPMConfig` with default values.")
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self.llm_config = MiniCPMConfig(**llm_config)
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self.vpm_config = SiglipVisionConfig(**vpm_config)
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self.query_num = query_num
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self.drop_vision_last_layer = drop_vision_last_layer
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self.slice_mode = slice_mode
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self.max_slice_nums = max_slice_nums
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self.mm_use_im_start_end = mm_use_im_start_end
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