diff --git a/tf_adapter/util/npu_attrs.cc b/tf_adapter/util/npu_attrs.cc
index 1d619cd595cbb5ce62f398ba62d97440213c419c..28111ff74846f51fabe7b0593067ff2664ac4bed 100644
--- a/tf_adapter/util/npu_attrs.cc
+++ b/tf_adapter/util/npu_attrs.cc
@@ -2022,7 +2022,7 @@ Status NpuAttrs::SetNpuOptimizerAttr(const GraphOptimizationPassOptions &options
       if (params.count("precision_mode_v2") > 0) {
         precision_mode_v2 = params.at("precision_mode_v2").s();
         const static std::vector<std::string> kPrecisionModeV2List = {"fp16", "origin", "cube_fp16in_fp32out",
-                                                                      "mixed_float16", "mixed_bfloat16"};
+                                                                      "mixed_float16", "mixed_bfloat16", "cube_hif8", "mixed_hif8"};
         NPU_REQUIRES_OK(CheckValueAllowed<std::string>(precision_mode_v2, kPrecisionModeV2List));
         init_options_["precision_mode_v2"] = precision_mode_v2;
         init_options_["ge.exec.precision_mode_v2"] = precision_mode_v2;
diff --git a/tf_adapter_2.x/python/npu_device/configs/npu_config.py b/tf_adapter_2.x/python/npu_device/configs/npu_config.py
index 1371ec0025ca5ce5c3bac2c986bb3f4713779444..c7834a873923e75bc9d7f088162bfab7aa9b257d 100644
--- a/tf_adapter_2.x/python/npu_device/configs/npu_config.py
+++ b/tf_adapter_2.x/python/npu_device/configs/npu_config.py
@@ -78,6 +78,6 @@ class NpuConfig(NpuBaseConfig):
         self.experimental = NpuExperimentalConfig()
         self.precision_mode_v2 = OptionValue(None,
                                              ['fp16', 'origin', 'cube_fp16in_fp32out', 'mixed_float16',
-                                              'mixed_bfloat16'])
+                                              'mixed_bfloat16', 'cube_hif8', 'mixed_hif8'])
 
         super(NpuConfig, self).__init__()