diff --git a/docs/source/exporters/onnx/overview.mdx b/docs/source/exporters/onnx/overview.mdx
index b5129c23f2..a10be0083c 100644
--- a/docs/source/exporters/onnx/overview.mdx
+++ b/docs/source/exporters/onnx/overview.mdx
@@ -47,6 +47,7 @@ Supported architectures from [🤗 Transformers](https://huggingface.co/docs/tra
 - ESM
 - Falcon
 - Flaubert
+- GIT
 - GPT-2
 - GPT-BigCode
 - GPT-J
diff --git a/optimum/exporters/onnx/base.py b/optimum/exporters/onnx/base.py
index b5adb4522a..210bdf73d8 100644
--- a/optimum/exporters/onnx/base.py
+++ b/optimum/exporters/onnx/base.py
@@ -150,6 +150,7 @@ class OnnxConfig(ExportConfig, ABC):
         "fill-mask": OrderedDict({"logits": {0: "batch_size", 1: "sequence_length"}}),
         "image-classification": OrderedDict({"logits": {0: "batch_size"}}),
         "image-segmentation": OrderedDict({"logits": {0: "batch_size", 1: "num_labels", 2: "height", 3: "width"}}),
+        "image-text-to-text": OrderedDict({"logits": {0: "batch_size", 1: "sequence_length"}}),
         "image-to-text": OrderedDict({"logits": {0: "batch_size", 1: "sequence_length"}}),
         "image-to-image": OrderedDict(
             {"reconstruction": {0: "batch_size", 1: "num_channels", 2: "height", 3: "width"}}
diff --git a/optimum/exporters/onnx/model_configs.py b/optimum/exporters/onnx/model_configs.py
index 3a48a579c2..d1a169e356 100644
--- a/optimum/exporters/onnx/model_configs.py
+++ b/optimum/exporters/onnx/model_configs.py
@@ -2621,3 +2621,35 @@ class EncoderDecoderOnnxConfig(EncoderDecoderBaseOnnxConfig):
     NORMALIZED_CONFIG_CLASS = NormalizedEncoderDecoderConfig
 
     DEFAULT_ONNX_OPSET = 14  # uses SDPA in Transformers, hence opset>=14.
+
+
+class GITOnnxConfig(TextAndVisionOnnxConfig):
+    NORMALIZED_CONFIG_CLASS = NormalizedTextAndVisionConfig.with_args(vision_config="vision_config")
+    DUMMY_INPUT_GENERATOR_CLASSES_MAP = {
+        "feature-extraction": (DummyVisionInputGenerator,),
+        "image-text-to-text": (DummyTextInputGenerator, DummyVisionInputGenerator,),
+        "image-to-text": (DummyVisionInputGenerator,),
+    }
+
+    def _create_dummy_input_generator_classes(self, **kwargs) -> List["DummyInputGenerator"]:
+        dummy_inputs_generators = []
+        for dummy_input_generator in self.DUMMY_INPUT_GENERATOR_CLASSES_MAP[self.task]:
+            print(self.task, dummy_input_generator)
+            dummy_input_generator_instantiated = dummy_input_generator(
+                self.task, self._normalized_config, **kwargs
+            )
+            dummy_inputs_generators.append(dummy_input_generator_instantiated)
+
+        return dummy_inputs_generators
+    
+    @property
+    def inputs(self) -> Dict[str, Dict[int, str]]:
+        if self.task == "image-text-to-text":
+            return {
+                "input_ids": {0: "text_batch_size", 1: "sequence_length"},
+                "pixel_values": {0: "image_batch_size", 1: "num_channels", 2: "height", 3: "width"},
+            }
+        else:
+            return {
+                "pixel_values": {0: "image_batch_size", 1: "num_channels", 2: "height", 3: "width"},
+        }
diff --git a/optimum/exporters/tasks.py b/optimum/exporters/tasks.py
index 7cb5a31d2d..d748de7a08 100644
--- a/optimum/exporters/tasks.py
+++ b/optimum/exporters/tasks.py
@@ -215,6 +215,7 @@ class TasksManager:
                 "AutoModelForInstanceSegmentation",
                 "AutoModelForUniversalSegmentation",
             ),
+            "image-text-to-text": ("AutoModelForCausalLM", "AutoModel"),
             "image-to-image": "AutoModelForImageToImage",
             "image-to-text": ("AutoModelForVision2Seq", "AutoModel"),
             "mask-generation": "AutoModel",
@@ -692,6 +693,12 @@ class TasksManager:
             "text-classification",
             onnx="GemmaOnnxConfig",
         ),
+        "git": supported_tasks_mapping(
+            "feature-extraction",
+            "image-text-to-text",
+            "image-to-text",
+            onnx="GITOnnxConfig",
+        ),
         "glpn": supported_tasks_mapping(
             "feature-extraction",
             "depth-estimation",
diff --git a/tests/exporters/exporters_utils.py b/tests/exporters/exporters_utils.py
index 900b5f3b5c..a46013d8d3 100644
--- a/tests/exporters/exporters_utils.py
+++ b/tests/exporters/exporters_utils.py
@@ -96,6 +96,14 @@
     },
     "flaubert": "hf-internal-testing/tiny-random-flaubert",
     "gemma": "fxmarty/tiny-random-GemmaForCausalLM",
+    "git": {
+        "hf-internal-testing/tiny-random-GitModel": [
+            "feature-extraction",
+        ],
+        "hf-internal-testing/tiny-random-GitForCausalLM": [
+            "image-text-to-text",
+        ],
+    },
     "glpn": "hf-internal-testing/tiny-random-GLPNModel",
     "gpt2": "hf-internal-testing/tiny-random-gpt2",
     "gpt-bigcode": "hf-internal-testing/tiny-random-GPTBigCodeModel",
diff --git a/tests/onnxruntime/utils_onnxruntime_tests.py b/tests/onnxruntime/utils_onnxruntime_tests.py
index 02ced3be3a..5215552e6b 100644
--- a/tests/onnxruntime/utils_onnxruntime_tests.py
+++ b/tests/onnxruntime/utils_onnxruntime_tests.py
@@ -101,6 +101,14 @@
     "flaubert": "hf-internal-testing/tiny-random-flaubert",
     "flux": "optimum-internal-testing/tiny-random-flux",
     "gemma": "fxmarty/tiny-random-GemmaForCausalLM",
+    "git": {
+        "hf-internal-testing/tiny-random-GitModel": [
+            "feature-extraction",
+        ],
+        "hf-internal-testing/tiny-random-GitForCausalLM": [
+            "image-text-to-text",
+        ],
+    },
     "gpt2": "hf-internal-testing/tiny-random-gpt2",
     "gpt_bigcode": "hf-internal-testing/tiny-random-GPTBigCodeModel",
     "gpt_neo": "hf-internal-testing/tiny-random-GPTNeoModel",