Qwen FP8/NVFP4 ModelOPT Quantization support (#7912)

Co-authored-by: Jingyu Xin <jingyux@nvidia.com>

python/sglang/srt/models/qwen3.py

@@ -24,7 +24,10 @@ from sglang.srt.layers.utils import PPMissingLayer, get_layer_id
 from sglang.srt.layers.vocab_parallel_embedding import ParallelLMHead
 from sglang.srt.model_executor.cuda_graph_runner import get_is_capture_mode
 from sglang.srt.model_executor.forward_batch_info import ForwardBatch, PPProxyTensors
-from sglang.srt.model_loader.weight_utils import default_weight_loader
+from sglang.srt.model_loader.weight_utils import (
+    default_weight_loader,
+    maybe_remap_kv_scale_name,
+)
 from sglang.srt.models.qwen2 import Qwen2MLP as Qwen3MLP
 from sglang.srt.models.qwen2 import Qwen2Model
 from sglang.srt.utils import add_prefix, is_cuda
@@ -458,7 +461,10 @@ class Qwen3ForCausalLM(nn.Module):
                     continue
             if name.startswith("model.vision_tower") and name not in params_dict:
                 continue
-
+            if "scale" in name:
+                name = maybe_remap_kv_scale_name(name, params_dict)
+                if name is None:
+                    continue
             for param_name, weight_name, shard_id in stacked_params_mapping:
                 if weight_name not in name:
                     continue