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[Model] GritLM supports other attention backends (#18109)

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Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>
This commit is contained in:
Cyrus Leung
2025-05-14 18:33:19 +08:00
committed by GitHub
parent 259127f8b8
commit d62a076e84
4 changed files with 85 additions and 108 deletions
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26
vllm/model_executor/models/qwen2.py
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@@ -100,19 +100,19 @@ class Qwen2MLP(nn.Module):
class Qwen2Attention(nn.Module):
def __init__(
self,
hidden_size: int,
num_heads: int,
num_kv_heads: int,
max_position: int = 4096 * 32,
rope_theta: float = 10000,
cache_config: Optional[CacheConfig] = None,
quant_config: Optional[QuantizationConfig] = None,
rope_scaling: Optional[Tuple] = None,
prefix: str = "",
attn_type: str = AttentionType.DECODER,
dual_chunk_attention_config: Optional[dict[str,
Any]] = None) -> None:
self,
hidden_size: int,
num_heads: int,
num_kv_heads: int,
max_position: int = 4096 * 32,
rope_theta: float = 10000,
cache_config: Optional[CacheConfig] = None,
quant_config: Optional[QuantizationConfig] = None,
rope_scaling: Optional[Tuple] = None,
prefix: str = "",
attn_type: str = AttentionType.DECODER,
dual_chunk_attention_config: Optional[dict[str, Any]] = None,
) -> None:
super().__init__()
self.hidden_size = hidden_size
tp_size = get_tensor_model_parallel_world_size()