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33 lines
958 B
Python
33 lines
958 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 .llama import LlamaModel
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from .qwenvl import Qwen2VLVisionModel
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@ModelBase.register("Sarashina2VisionForCausalLM")
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class Sarashina2VLTextModel(LlamaModel):
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model_arch = gguf.MODEL_ARCH.LLAMA
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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 name.startswith("llm."):
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name = name.replace("llm.", "", 1)
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elif name.startswith("norm."):
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return None
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return super().filter_tensors((name, gen))
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@ModelBase.register("Sarashina2VisionForCausalLM")
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class Sarashina2VLVisionModel(Qwen2VLVisionModel):
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def __init__(self, *args, **kwargs):
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super().__init__(*args, **kwargs)
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self.global_config['model_type'] = "qwen2_vl"
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