diff --git a/optimum/exporters/onnx/model_configs.py b/optimum/exporters/onnx/model_configs.py
index d8fa4ef6ec..2712f9da31 100644
--- a/optimum/exporters/onnx/model_configs.py
+++ b/optimum/exporters/onnx/model_configs.py
@@ -66,6 +66,7 @@
     NormalizedTimeSeriesForecastingConfig,
     NormalizedVisionConfig,
     PerceiverDummyInputGenerator,
+    TimesFMDummyInputGenerator,
     VitPoseDummyInputGenerator,
     is_diffusers_available,
     is_diffusers_version,
@@ -2641,6 +2642,25 @@ class EncoderDecoderOnnxConfig(EncoderDecoderBaseOnnxConfig):
     DEFAULT_ONNX_OPSET = 14  # uses SDPA in Transformers, hence opset>=14.
 
 
+class TimesFMOnnxConfig(OnnxConfig):
+    NORMALIZED_CONFIG_CLASS = NormalizedTimeSeriesForecastingConfig
+    MIN_TRANSFORMERS_VERSION = version.parse("4.52.0")
+    DUMMY_INPUT_GENERATOR_CLASSES = (TimesFMDummyInputGenerator,)
+    DEFAULT_ONNX_OPSET = 14  # uses SDPA in Transformers, needs opset>=14
+
+    @property
+    def inputs(self) -> Dict[str, Dict[int, str]]:
+        return {"past_values": {0: "batch_size", 1: "sequence_length"}}
+
+    @property
+    def outputs(self) -> Dict[str, Dict[int, str]]:
+        return {
+            "last_hidden_state": {0: "batch_size"},
+            "mean_predictions": {0: "batch_size"},
+            "full_predictions": {0: "batch_size"},
+        }
+
+
 class PatchTSTOnnxConfig(OnnxConfig):
     NORMALIZED_CONFIG_CLASS = NormalizedTimeSeriesForecastingConfig
     DUMMY_INPUT_GENERATOR_CLASSES = (DummyPatchTSTInputGenerator,)
diff --git a/optimum/exporters/tasks.py b/optimum/exporters/tasks.py
index 21f05135d8..bbe83bd6d5 100644
--- a/optimum/exporters/tasks.py
+++ b/optimum/exporters/tasks.py
@@ -329,6 +329,7 @@ class TasksManager:
         ("pt", "visual-bert", "question-answering"): ("transformers", "VisualBertForQuestionAnswering"),
         # VisionEncoderDecoderModel is not registered in AutoModelForDocumentQuestionAnswering
         ("pt", "vision-encoder-decoder", "document-question-answering"): ("transformers", "VisionEncoderDecoderModel"),
+        ("pt", "timesfm", "time-series-forecasting"): ("transformers", "TimesFmModelForPrediction"),
         ("pt", "vitpose", "keypoint-detection"): ("transformers", "VitPoseForPoseEstimation"),
     }
 
@@ -996,6 +997,10 @@ class TasksManager:
             "text-classification",
             onnx="Qwen2OnnxConfig",
         ),
+        "timesfm": supported_tasks_mapping(
+            "time-series-forecasting",
+            onnx="TimesFMOnnxConfig",
+        ),
         "llama": supported_tasks_mapping(
             "feature-extraction",
             "feature-extraction-with-past",
diff --git a/optimum/utils/__init__.py b/optimum/utils/__init__.py
index f945ac14f3..0dcf4c93bc 100644
--- a/optimum/utils/__init__.py
+++ b/optimum/utils/__init__.py
@@ -92,6 +92,7 @@
     MistralDummyPastKeyValuesGenerator,
     MultiQueryPastKeyValuesGenerator,
     PerceiverDummyInputGenerator,
+    TimesFMDummyInputGenerator,
     VitPoseDummyInputGenerator,
 )
 from .modeling_utils import recurse_getattr, recurse_setattr
diff --git a/optimum/utils/input_generators.py b/optimum/utils/input_generators.py
index 40cf2cde49..2fae73288e 100644
--- a/optimum/utils/input_generators.py
+++ b/optimum/utils/input_generators.py
@@ -1658,3 +1658,28 @@ class PerceiverDummyInputGenerator(DummyVisionStaticInputGenerator):
 
 class VitPoseDummyInputGenerator(DummyVisionStaticInputGenerator):
     pass
+
+
+class TimesFMDummyInputGenerator(DummyInputGenerator):
+    SUPPORTED_INPUT_NAMES = ("past_values",)
+
+    def __init__(
+        self,
+        task: str,
+        normalized_config: NormalizedConfig,
+        batch_size: int = DEFAULT_DUMMY_SHAPES["batch_size"],
+        **kwargs,
+    ):
+        self.task = task
+        self.normalized_config = normalized_config
+        self.batch_size = batch_size
+        self.context_length = normalized_config.context_length
+
+    def generate(self, input_name: str, framework: str = "pt", int_dtype: str = "int64", float_dtype: str = "fp32"):
+        return self.random_float_tensor(
+            shape=[self.batch_size, self.context_length],
+            min_value=-1,
+            max_value=1,
+            framework=framework,
+            dtype=float_dtype,
+        )
diff --git a/tests/exporters/utils.py b/tests/exporters/utils.py
index d2310a1d2d..fdaa702ef0 100644
--- a/tests/exporters/utils.py
+++ b/tests/exporters/utils.py
@@ -171,6 +171,7 @@
     "swin2sr": "hf-internal-testing/tiny-random-Swin2SRModel",
     "t5": "hf-internal-testing/tiny-random-t5",
     "table-transformer": "hf-internal-testing/tiny-random-TableTransformerModel",
+    "timesfm": "huggingface/timesfm-tourism-monthly",
     "vit": "hf-internal-testing/tiny-random-vit",
     "vit-mae": "hf-internal-testing/tiny-random-ViTMAEModel",
     "vit-msn": "hf-internal-testing/tiny-random-ViTMSNForImageClassification",