remove fp8_e5m2 error

vllm/attention/layer.py

@@ -170,9 +170,9 @@ class Attention(nn.Module, AttentionLayerBase):
             assert isinstance(quant_method, BaseKVCacheMethod)
             # TODO (mgoin): kv cache dtype should be specified in the FP8
             # checkpoint config and become the "auto" behavior
-            if self.kv_cache_dtype == "fp8_e5m2":
-                raise ValueError("fp8_e5m2 kv-cache is not supported with "
-                                 "fp8 checkpoints.")
+            # if self.kv_cache_dtype == "fp8_e5m2":
+            #     raise ValueError("fp8_e5m2 kv-cache is not supported with "
+            #                      "fp8 checkpoints.")
             # If quantization is enabled, we make "k_scale" and "v_scale"
             # parameters so that it can be loaded from the model checkpoint.
             # The k/v_scale will then be converted back to native float32