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2026-04-09 11:19:36 +08:00
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lora/layers/__init__.py
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# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
from vllm.lora.layers.base import BaseLayerWithLoRA
from vllm.lora.layers.column_parallel_linear import (
ColumnParallelLinearWithLoRA,
ColumnParallelLinearWithShardedLoRA,
MergedColumnParallelLinearWithLoRA,
MergedColumnParallelLinearWithShardedLoRA,
MergedQKVParallelLinearWithLoRA,
MergedQKVParallelLinearWithShardedLoRA,
QKVParallelLinearWithLoRA,
QKVParallelLinearWithShardedLoRA,
)
from vllm.lora.layers.fused_moe import FusedMoEWithLoRA
from vllm.lora.layers.logits_processor import LogitsProcessorWithLoRA
from vllm.lora.layers.replicated_linear import ReplicatedLinearWithLoRA
from vllm.lora.layers.row_parallel_linear import (
RowParallelLinearWithLoRA,
RowParallelLinearWithShardedLoRA,
)
from vllm.lora.layers.utils import LoRAMapping
from vllm.lora.layers.vocal_parallel_embedding import VocabParallelEmbeddingWithLoRA
__all__ = [
"BaseLayerWithLoRA",
"VocabParallelEmbeddingWithLoRA",
"LogitsProcessorWithLoRA",
"ColumnParallelLinearWithLoRA",
"ColumnParallelLinearWithShardedLoRA",
"MergedColumnParallelLinearWithLoRA",
"MergedColumnParallelLinearWithShardedLoRA",
"MergedQKVParallelLinearWithLoRA",
"MergedQKVParallelLinearWithShardedLoRA",
"QKVParallelLinearWithLoRA",
"QKVParallelLinearWithShardedLoRA",
"RowParallelLinearWithLoRA",
"RowParallelLinearWithShardedLoRA",
"ReplicatedLinearWithLoRA",
"LoRAMapping",
"FusedMoEWithLoRA",
]