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34 lines
933 B
Python
34 lines
933 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 MmprojModel, ModelBase, gguf
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from .llama import LlamaModel
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@ModelBase.register("CogVLMForCausalLM")
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class CogVLMVisionModel(MmprojModel):
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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_vision_attention_layernorm_eps(self.hparams.get("layer_norm_eps", 1e-6))
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self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.COGVLM)
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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("model.vision."):
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return None
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return super().filter_tensors(item)
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@ModelBase.register("CogVLMForCausalLM")
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class CogVLMModel(LlamaModel):
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model_arch = gguf.MODEL_ARCH.COGVLM
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