Fix llama2 weight loader (#1317)

python/sglang/srt/models/llama.py

@@ -334,13 +334,13 @@ class LlamaForCausalLM(nn.Module):
 
         for name, loaded_weight in weights:
             if "rotary_emb.inv_freq" in name or "projector" in name:
-                return
+                continue
             if "rotary_emb.cos_cached" in name or "rotary_emb.sin_cached" in name:
                 # Models trained using ColossalAI may include these tensors in
                 # the checkpoint. Skip them.
-                return
+                continue
             if name.startswith("model.vision_tower") and name not in params_dict:
-                return
+                continue
 
             for param_name, weight_name, shard_id in stacked_params_mapping:
                 if weight_name not in name:
@@ -356,7 +356,7 @@ class LlamaForCausalLM(nn.Module):
             else:
                 # Skip loading extra bias for GPTQ models.
                 if name.endswith(".bias") and name not in params_dict:
-                    return
+                    continue
                 param = params_dict[name]
                 weight_loader = getattr(param, "weight_loader", default_weight_loader)
                 weight_loader(param, loaded_weight)