wehub-resource-sync
58 lines
2.1 KiB
Python
58 lines
2.1 KiB
Python
# Copyright (c) ModelScope Contributors. All rights reserved.
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from transformers import PreTrainedModel
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from transformers.dynamic_module_utils import get_class_from_dynamic_module
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from swift.template import TemplateType
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from ..constant import MLLMModelType
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from ..model_arch import ModelArch
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from ..model_meta import Model, ModelGroup, ModelMeta
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from ..patcher import patch_get_input_embeddings
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from ..register import ModelLoader, register_model
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class KimiVLLoader(ModelLoader):
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def get_model(self, model_dir: str, *args, **kwargs) -> PreTrainedModel:
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KimiVLPreTrainedModel = get_class_from_dynamic_module('modeling_kimi_vl.KimiVLPreTrainedModel', model_dir)
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try:
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del KimiVLPreTrainedModel._supports_sdpa
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except AttributeError:
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pass
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model = super().get_model(model_dir, *args, **kwargs)
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patch_get_input_embeddings(model.vision_tower, 'patch_embed')
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return model
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register_model(
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ModelMeta(
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MLLMModelType.kimi_vl,
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[
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ModelGroup([
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Model('moonshotai/Kimi-VL-A3B-Instruct', 'moonshotai/Kimi-VL-A3B-Instruct'),
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Model('moonshotai/Kimi-VL-A3B-Thinking', 'moonshotai/Kimi-VL-A3B-Thinking'),
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Model('moonshotai/Kimi-VL-A3B-Thinking-2506', 'moonshotai/Kimi-VL-A3B-Thinking-2506'),
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])
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],
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KimiVLLoader,
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template=TemplateType.kimi_vl,
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model_arch=ModelArch.llava_hf_legacy,
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architectures=['KimiVLForConditionalGeneration'],
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requires=['transformers<4.49'],
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))
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register_model(
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ModelMeta(
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MLLMModelType.kimi_k25,
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[
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ModelGroup([
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Model('moonshotai/Kimi-K2.5', 'moonshotai/Kimi-K2.5'),
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Model('moonshotai/Kimi-K2.6', 'moonshotai/Kimi-K2.6'),
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Model('moonshotai/Kimi-K2.7-Code', 'moonshotai/Kimi-K2.7-Code'),
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])
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],
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template=TemplateType.kimi_k25,
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model_arch=ModelArch.kimi_k25,
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architectures=['KimiK25ForConditionalGeneration'],
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requires=['transformers>=4.57.1,<5.0.0'],
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))
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