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[Quant] BartModel SupportsQuant #14699

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Merged
merged 1 commit into from
Mar 13, 2025
Merged

[Quant] BartModel SupportsQuant #14699

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7 changes: 4 additions & 3 deletions vllm/model_executor/models/bart.py
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Original file line number Diff line number Diff line change
Expand Up @@ -44,7 +44,7 @@
from vllm.model_executor.sampling_metadata import SamplingMetadata
from vllm.sequence import IntermediateTensors

from .interfaces import SupportsV0Only
from .interfaces import SupportsQuant, SupportsV0Only
from .utils import maybe_prefix

logger = logging.get_logger(__name__)
Expand Down Expand Up @@ -697,7 +697,7 @@ def forward(
return hidden_states


class BartModel(nn.Module):
class BartModel(nn.Module, SupportsQuant):
_tied_weights_keys = [
"encoder.embed_tokens.weight", "decoder.embed_tokens.weight"
]
Expand Down Expand Up @@ -763,7 +763,8 @@ def forward(self, input_ids: torch.Tensor, positions: torch.Tensor,
return decoder_outputs


class BartForConditionalGeneration(nn.Module, SupportsV0Only):
class BartForConditionalGeneration(nn.Module, SupportsV0Only, SupportsQuant):
packed_modules_mapping = {"qkv_proj": ["q_proj", "k_proj", "v_proj"]}
base_model_prefix = "model"

def __init__(self, *, vllm_config: VllmConfig, prefix: str = ""):
Expand Down