koboldcpp/conversion/cogvlm.py
Piotr Wilkin (ilintar) cc7200bf12
Refactor: convert_hf_to_gguf.py (#17114)
* move conversion code to a dedicated conversion directory and split the files akin to the src/models architecture

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Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
2026-05-15 15:18:12 +02:00

33 lines
933 B
Python

from __future__ import annotations
from typing import Callable, TYPE_CHECKING
if TYPE_CHECKING:
from torch import Tensor
from .base import MmprojModel, ModelBase, gguf
from .llama import LlamaModel
@ModelBase.register("CogVLMForCausalLM")
class CogVLMVisionModel(MmprojModel):
def set_gguf_parameters(self):
super().set_gguf_parameters()
self.gguf_writer.add_vision_attention_layernorm_eps(self.hparams.get("layer_norm_eps", 1e-6))
self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.COGVLM)
@classmethod
def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
name, gen = item
if not name.startswith("model.vision."):
return None
return super().filter_tensors(item)
@ModelBase.register("CogVLMForCausalLM")
class CogVLMModel(LlamaModel):
model_arch = gguf.MODEL_ARCH.COGVLM