Address comments by @compilade
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@ -3765,8 +3765,6 @@ class NemotronModel(Model):
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self.gguf_writer.add_rope_scaling_type(gguf.RopeScalingType.LINEAR)
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self.gguf_writer.add_rope_scaling_factor(self.hparams["factor"])
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_experts: list[dict[str, Tensor]] | None = None
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def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
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# * Adding +1 to LayerNorm's weights here to implement layernorm1p w/o changing anything on the GGML engine side
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# model.layers.{l}.input_layernorm.weight
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