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[Misc] Use config definitions from Transformers library (#21913)

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Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>
This commit is contained in:
Cyrus Leung
2025-08-09 14:10:51 +08:00
committed by GitHub
parent 7ad7adb67f
commit 65552b476b
11 changed files with 54 additions and 51 deletions
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8
vllm/model_executor/models/commandr.py
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@@ -27,7 +27,7 @@ from typing import Optional, Union
import torch
from torch import nn
from transformers import CohereConfig
from transformers import Cohere2Config, CohereConfig
from vllm.attention import Attention
from vllm.compilation.decorators import support_torch_compile
@@ -89,7 +89,7 @@ class CohereMLP(nn.Module):
def __init__(
self,
config: CohereConfig,
config: Union[CohereConfig, Cohere2Config],
quant_config: Optional[QuantizationConfig] = None,
prefix: str = "",
):
@@ -124,7 +124,7 @@ class CohereAttention(nn.Module):
def __init__(
self,
config: CohereConfig,
config: Union[CohereConfig, Cohere2Config],
cache_config: Optional[CacheConfig] = None,
quant_config: Optional[QuantizationConfig] = None,
prefix: str = "",
@@ -242,7 +242,7 @@ class CohereAttention(nn.Module):
class CohereDecoderLayer(nn.Module):
def __init__(self,
config: CohereConfig,
config: Union[CohereConfig, Cohere2Config],
cache_config: Optional[CacheConfig] = None,
quant_config: Optional[QuantizationConfig] = None,
prefix: str = ""):