diff --git a/python/sglang/srt/layers/quantization/modelopt_quant.py b/python/sglang/srt/layers/quantization/modelopt_quant.py
index d72526a61..b5e8d5a35 100755
--- a/python/sglang/srt/layers/quantization/modelopt_quant.py
+++ b/python/sglang/srt/layers/quantization/modelopt_quant.py
@@ -140,11 +140,21 @@ class ModelOptFp8Config(QuantizationConfig):
             # Flat format (config.json quantization_config)
             # For kv_cache, check if kv_cache_scheme exists and extract algo
             kv_cache_scheme = config.get("kv_cache_scheme")
-            if (
-                kv_cache_scheme
-                and kv_cache_scheme.get("type") == "float"
-                and kv_cache_scheme.get("num_bits") == 8
-            ):
+
+            kv_cache_type = None
+            kv_cache_bits = None
+            if isinstance(kv_cache_scheme, dict):
+                # Handles the expected format: {"type": "float", "num_bits": 8}
+                kv_cache_type = kv_cache_scheme.get("type")
+                kv_cache_bits = kv_cache_scheme.get("num_bits")
+            elif isinstance(kv_cache_scheme, str):
+                # Handles the shorthand format: "FP8"
+                if kv_cache_scheme.upper() == "FP8":
+                    kv_cache_type = "float"
+                    kv_cache_bits = 8
+
+            # Now, safely use the extracted values
+            if kv_cache_type == "float" and kv_cache_bits == 8:
                 kv_cache_quant_method = "FP8"
 
             # Map 'ignore' field to 'exclude_modules'
@@ -594,11 +604,22 @@ class ModelOptFp4Config(QuantizationConfig):
             if not kv_cache_quant_algo:
                 # For config.json format, derive from kv_cache_scheme if available
                 kv_cache_scheme = config.get("kv_cache_scheme")
-                if (
-                    kv_cache_scheme
-                    and kv_cache_scheme.get("type") == "float"
-                    and kv_cache_scheme.get("num_bits") == 8
-                ):
+
+                kv_cache_type = None
+                kv_cache_bits = None
+                if isinstance(kv_cache_scheme, dict):
+                    # Handles the expected format: {"type": "float", "num_bits": 8}
+                    kv_cache_type = kv_cache_scheme.get("type")
+                    kv_cache_bits = kv_cache_scheme.get("num_bits")
+                elif isinstance(kv_cache_scheme, str):
+                    # Handles the shorthand format: "FP8"
+                    # We can infer the properties from the string.
+                    if kv_cache_scheme.upper() == "FP8":
+                        kv_cache_type = "float"
+                        kv_cache_bits = 8
+
+                # Now, safely use the extracted values in the original logic
+                if kv_cache_type == "float" and kv_cache_bits == 8:
                     kv_cache_quant_algo = "FP8"
                 else:
                     kv_cache_quant_algo = "auto"