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* move conversion code to a dedicated conversion directory and split the files akin to the src/models architecture --------- Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
48 lines
2 KiB
Python
48 lines
2 KiB
Python
from __future__ import annotations
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from typing import Callable, Iterable, TYPE_CHECKING
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if TYPE_CHECKING:
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from torch import Tensor
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from .base import MmprojModel, ModelBase, gguf
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@ModelBase.register("DotsOCRForCausalLM")
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class DotsOCRVisionModel(MmprojModel):
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def __init__(self, *args, **kwargs):
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super().__init__(*args, **kwargs)
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assert self.hparams_vision is not None
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self.hparams_vision["image_size"] = 0 # dynamic resolution
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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.DOTSOCR)
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self.gguf_writer.add_vision_min_pixels(self.preprocessor_config["min_pixels"])
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self.gguf_writer.add_vision_max_pixels(self.preprocessor_config["max_pixels"])
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self.gguf_writer.add_vision_attention_layernorm_eps(self.find_vparam(["rms_norm_eps"]))
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self.gguf_writer.add_vision_projector_scale_factor(self.find_vparam(["spatial_merge_size"]))
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self.gguf_writer.add_vision_use_silu(True)
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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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if not name.startswith("vision_tower."):
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return None
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if "vision_tower.blocks." in name and ".mlp." in name:
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# note: to avoid naming conflicts in tensor_mapping.py, we need to handle FFN renaming here
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# x = F.silu(self.fc1(x)) * self.fc3(x)
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# x = self.fc2(x)
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# fc1 -> gate, fc2 -> down, fc3 -> up
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# mapping original names to Qwen2.5 naming scheme
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name = name.replace("vision_tower.blocks.", "visual.blocks.")
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name = name.replace(".fc1", ".gate_proj")
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name = name.replace(".fc2", ".down_proj")
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name = name.replace(".fc3", ".up_proj")
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return super().filter_tensors((name, gen))
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def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
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yield from super().modify_tensors(data_torch, name, bid)
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