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a100_20260502 / swift /model /models /moonshot.py
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# Copyright (c) ModelScope Contributors. All rights reserved.
from transformers import PreTrainedModel
from transformers.dynamic_module_utils import get_class_from_dynamic_module
from swift.template import TemplateType
from ..constant import MLLMModelType
from ..model_arch import ModelArch
from ..model_meta import Model, ModelGroup, ModelMeta
from ..patcher import patch_get_input_embeddings
from ..register import ModelLoader, register_model
class KimiVLLoader(ModelLoader):
def get_model(self, model_dir: str, *args, **kwargs) -> PreTrainedModel:
KimiVLPreTrainedModel = get_class_from_dynamic_module('modeling_kimi_vl.KimiVLPreTrainedModel', model_dir)
try:
del KimiVLPreTrainedModel._supports_sdpa
except AttributeError:
pass
model = super().get_model(model_dir, *args, **kwargs)
patch_get_input_embeddings(model.vision_tower, 'patch_embed')
return model
register_model(
ModelMeta(
MLLMModelType.kimi_vl,
[
ModelGroup([
Model('moonshotai/Kimi-VL-A3B-Instruct', 'moonshotai/Kimi-VL-A3B-Instruct'),
Model('moonshotai/Kimi-VL-A3B-Thinking', 'moonshotai/Kimi-VL-A3B-Thinking'),
Model('moonshotai/Kimi-VL-A3B-Thinking-2506', 'moonshotai/Kimi-VL-A3B-Thinking-2506'),
])
],
KimiVLLoader,
template=TemplateType.kimi_vl,
model_arch=ModelArch.llava_hf_legacy,
architectures=['KimiVLForConditionalGeneration'],
requires=['transformers<4.49'],
))
register_model(
ModelMeta(
MLLMModelType.kimi_k25,
[
ModelGroup([
Model('moonshotai/Kimi-K2.5', 'moonshotai/Kimi-K2.5'),
Model('moonshotai/Kimi-K2.6', 'moonshotai/Kimi-K2.6'),
])
],
template=TemplateType.kimi_k25,
model_arch=ModelArch.kimi_k25,
architectures=['KimiK25ForConditionalGeneration'],
requires=['transformers>=4.57.1,<5.0.0'],
))