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30 lines
882 B
Python
30 lines
882 B
Python
from __future__ import annotations
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from typing import Callable, TYPE_CHECKING
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if TYPE_CHECKING:
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from torch import Tensor
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from .base import ModelBase, gguf
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from .llava import LlavaVisionModel
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@ModelBase.register("LightOnOCRForConditionalGeneration")
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class LightOnOCRVisionModel(LlavaVisionModel):
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is_mistral_format = False
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use_break_tok = False
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def set_gguf_parameters(self):
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super().set_gguf_parameters()
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self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.LIGHTONOCR)
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@classmethod
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def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
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name, gen = item
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name = name.replace("model.vision_encoder.", "vision_tower.")
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name = name.replace("model.vision_projection.", "multi_modal_projector.")
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return super().filter_tensors((name, gen))
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