Support llamafy/Qwen-Qwen2.5-7B-Instruct-llamafied (#2748)

Co-authored-by: chenxu02 <chenxu02@zhihu.com>

python/sglang/srt/models/llama.py

@@ -100,6 +100,7 @@ class LlamaAttention(nn.Module):
         max_position_embeddings: int = 8192,
         quant_config: Optional[QuantizationConfig] = None,
         prefix: str = "",
+        bias: bool = False,
     ) -> None:
         super().__init__()
         self.hidden_size = hidden_size
@@ -132,14 +133,14 @@ class LlamaAttention(nn.Module):
             self.head_dim,
             self.total_num_heads,
             self.total_num_kv_heads,
-            bias=False,
+            bias=bias,
             quant_config=quant_config,
             prefix=f"{prefix}.qkv_proj",
         )
         self.o_proj = RowParallelLinear(
             self.total_num_heads * self.head_dim,
             hidden_size,
-            bias=False,
+            bias=bias,
             quant_config=quant_config,
             prefix=f"{prefix}.o_proj",
         )
@@ -194,6 +195,11 @@ class LlamaDecoderLayer(nn.Module):
             )
         rope_is_neox_style = getattr(config, "rope_is_neox_style", True)
         max_position_embeddings = getattr(config, "max_position_embeddings", 8192)
+        # Support llamafy/Qwen-Qwen2.5-7B-Instruct-llamafied with attention_bias
+        # Support internlm/internlm-7b with bias
+        attention_bias = getattr(config, "attention_bias", False) or getattr(
+            config, "bias", False
+        )
         self.self_attn = LlamaAttention(
             config=config,
             hidden_size=self.hidden_size,
@@ -206,6 +212,7 @@ class LlamaDecoderLayer(nn.Module):
             max_position_embeddings=max_position_embeddings,
             quant_config=quant_config,
             prefix=f"{prefix}.self_attn",
+            bias=attention_bias,
         )
         self.mlp = LlamaMLP(
             hidden_size=self.hidden_size,