[Quant] Support NVFP4_AWQ checkpoints in ModelOpt FP4 path (#31825)

test/registered/unit/model_loader/test_modelopt_loader.py

@@ -456,6 +456,7 @@ class TestParseQuantHfConfig(CustomTestCase):
         ({"quant_method": "modelopt", "quant_algo": "FP8"}, "modelopt_fp8"),
         ({"quant_method": "modelopt", "quant_algo": "FP4"}, "modelopt_fp4"),
         ({"quant_method": "modelopt", "quant_algo": "NVFP4"}, "modelopt_fp4"),
+        ({"quant_algo": "NVFP4_AWQ"}, "modelopt_fp4"),
         ({"quant_method": "modelopt", "quant_algo": "MIXED_PRECISION"}, "w4afp8"),
         ({"quant_algo": "FP8"}, "modelopt_fp8"),
         ({"quant_algo": "FP4"}, "modelopt_fp4"),
@@ -493,6 +494,18 @@ class TestParseQuantHfConfig(CustomTestCase):
                 result = self.model_config._parse_quant_hf_config()
                 self.assertEqual(result["quant_method"], expected)
 
+    def test_awq_flat_config_defaults_group_size(self):
+        """NVFP4_AWQ flat config.json omits group_size; from_config must default it to 16."""
+        cfg = ModelOptFp4Config.from_config(
+            {
+                "quant_algo": "NVFP4_AWQ",
+                "ignore": ["lm_head"],
+                "quant_method": "modelopt",
+            }
+        )
+        self.assertEqual(cfg.group_size, 16)
+        self.assertTrue(cfg.is_awq)
+
     def test_non_modelopt_quant_method_unchanged(self):
         """Non-modelopt quant_method (e.g. 'gptq') must NOT enter the modelopt path."""
         self.model_config.hf_config.quantization_config = {