diff --git a/auto_round/formats.py b/auto_round/formats.py
new file mode 100644
index 000000000..872c08dc1
--- /dev/null
+++ b/auto_round/formats.py
@@ -0,0 +1,159 @@
+# Copyright (c) 2025 Intel Corporation
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from __future__ import annotations
+
+from typing import Callable, Union
+
+from auto_round.schemes import PRESET_SCHEMES, QuantizationScheme
+
+
+class OutputFormat:
+    support_schemes: list = []
+    _format_list: dict[str, OutputFormat] = {}
+
+    def __init__(self, format):
+        self.output_format = format.split(":")[0]
+        self.backend = format.split(":")[1] if ":" in format else None
+
+    @classmethod
+    def register(cls, *names: str) -> Callable[[OutputFormat], OutputFormat]:
+        assert names
+
+        def func(output_format: OutputFormat) -> OutputFormat:
+            for name in names:
+                cls._format_list[name] = output_format
+            return output_format
+
+        return func
+
+    @classmethod
+    def get_support_matrix(cls: OutputFormat) -> str:
+        output_str = ""
+        for k, v in cls._format_list.items():
+            support_scheme = ", ".join(v.support_schemes).rstrip(",")
+            output_str += f"\x1b[31;1m{k}\x1b[0m support scheme:\n\t{support_scheme}\n"
+        return output_str
+
+    @classmethod
+    def is_support_scheme(cls: OutputFormat, scheme: Union[str, QuantizationScheme]) -> bool:
+        if scheme in cls.support_schemes:
+            return True
+        if isinstance(scheme, QuantizationScheme):
+            for key in cls.support_schemes:
+                if scheme == PRESET_SCHEMES[key]:
+                    return True
+        return False
+
+
+@OutputFormat.register("fake")
+class FakeFormat(OutputFormat):
+    support_schemes = [
+        "W4A16",
+        "W2A16",
+        "W3A16",
+        "W8A16",
+        "MXFP4",
+        "MXFP8",
+        "NVFP4",
+        "FPW8A16",
+        "W2A16G64",
+        "W2A16G32",
+        "FP8_STATIC",
+        "BF16",
+        "GGUF:Q4_0",
+        "GGUF:Q4_1",
+        "GGUF:Q5_0",
+        "GGUF:Q5_1",
+        "GGUF:Q2_K_S",
+        "GGUF:Q3_K_S",
+        "GGUF:Q3_K_M",
+        "GGUF:Q3_K_L",
+        "GGUF:Q4_K_S",
+        "GGUF:Q4_K_M",
+        "GGUF:Q5_K_S",
+        "GGUF:Q5_K_M",
+        "GGUF:Q6_K",
+        "GGUF:Q8_0",
+    ]
+
+
+@OutputFormat.register("llm_compressor")
+class LLMCompressorFormat(OutputFormat):
+    support_schemes = ["MXFP4", "MXFP8", "NVFP4", "FPW8A16", "FP8_STATIC"]
+
+
+@OutputFormat.register("auto_gptq")
+class AutoGPTQFormat(OutputFormat):
+    support_schemes = ["W4A16", "W2A16", "W3A16", "W8A16", "BF16", "W2A16G64", "W2A16G32"]
+
+
+@OutputFormat.register("auto_awq")
+class AutoAWQFormat(OutputFormat):
+    support_schemes = ["W4A16", "W2A16", "W3A16", "W8A16", "BF16", "W2A16G64", "W2A16G32"]
+
+
+@OutputFormat.register("itrex")
+@OutputFormat.register("itrex_xpu")
+class ITREXFormat(OutputFormat):
+    support_schemes = ["W4A16", "W2A16", "W3A16", "W8A16", "BF16", "W2A16G64", "W2A16G32"]
+
+
+@OutputFormat.register("gguf")
+class GGUFFormat(OutputFormat):
+    support_schemes = [
+        "GGUF:Q4_0",
+        "GGUF:Q4_1",
+        "GGUF:Q5_0",
+        "GGUF:Q5_1",
+        "GGUF:Q2_K_S",
+        "GGUF:Q3_K_S",
+        "GGUF:Q3_K_M",
+        "GGUF:Q3_K_L",
+        "GGUF:Q4_K_S",
+        "GGUF:Q4_K_M",
+        "GGUF:Q5_K_S",
+        "GGUF:Q5_K_M",
+        "GGUF:Q6_K",
+        "GGUF:Q8_0",
+    ]
+
+
+@OutputFormat.register("auto_round")
+class AutoRoundFormat(OutputFormat):
+    support_schemes = [
+        "W4A16",
+        "W2A16",
+        "W3A16",
+        "W8A16",
+        "MXFP4",
+        "MXFP8",
+        "NVFP4",
+        "FPW8A16",
+        "W2A16G64",
+        "W2A16G32",
+        "FP8_STATIC",
+        "BF16",
+    ]
+
+    def __init__(self, format):
+        self.output_format = format.split(":")[0]
+        self.backend = format.split(":")[1] if ":" in format else None
+
+        if self.backend == "llm_compressor":
+            self.support_schemes = ["MXFP4", "MXFP8", "NVFP4", "FPW8A16", "FP8_STATIC"]
+        elif self.backend == "auto_gptq" or "gptqmodel":
+            self.support_schemes = ["W4A16", "W2A16", "W3A16", "W8A16", "BF16", "W2A16G64", "W2A16G32"]
+        elif self.backend == "auto_awq":
+            self.support_schemes = ["W4A16", "W2A16", "W3A16", "W8A16", "BF16", "W2A16G64", "W2A16G32"]