add one more model to test

_unittests/ut_tasks/test_tasks_text_generation.py

@@ -0,0 +1,33 @@
+import unittest
+import torch
+from onnx_diagnostic.ext_test_case import (
+    ExtTestCase,
+    hide_stdout,
+    requires_transformers,
+    requires_torch,
+)
+from onnx_diagnostic.helpers.torch_helper import torch_deepcopy
+from onnx_diagnostic.torch_models.hghub.model_inputs import get_untrained_model_with_inputs
+from onnx_diagnostic.torch_export_patches import torch_export_patches
+from onnx_diagnostic.torch_export_patches.patch_inputs import use_dyn_not_str
+
+
+class TestTasksTextGeneration(ExtTestCase):
+    @hide_stdout()
+    @requires_transformers("4.53")
+    @requires_torch("2.7.99")
+    def test_image_text_to_text_gemma3_for_causallm(self):
+        mid = "hf-internal-testing/tiny-random-Gemma3ForCausalLM"
+        data = get_untrained_model_with_inputs(mid, verbose=1, add_second_input=True)
+        self.assertEqual(data["task"], "text-generation")
+        model, inputs, ds = data["model"], data["inputs"], data["dynamic_shapes"]
+        model(**torch_deepcopy(inputs))
+        model(**data["inputs2"])
+        with torch_export_patches(patch_transformers=True, verbose=10, patch_torch=False):
+            torch.export.export(
+                model, (), kwargs=inputs, dynamic_shapes=use_dyn_not_str(ds), strict=False
+            )
+
+
+if __name__ == "__main__":
+    unittest.main(verbosity=2)

onnx_diagnostic/torch_models/hghub/hub_data_cached_configs.py

@@ -4865,3 +4865,41 @@ def _ccached_google_gemma_3_4b_it_like():
             },
         }
     )
+
+
+def _ccached_hf_internal_testing_tiny_random_gemma3_for_causal_lm():
+    "hf-internal-testing/tiny-random-Gemma3ForCausalLM"
+    return transformers.Gemma3TextConfig(
+        **{
+            "architectures": ["Gemma3ForCausalLM"],
+            "attention_bias": false,
+            "attention_dropout": 0.0,
+            "attn_logit_softcapping": null,
+            "bos_token_id": 2,
+            "cache_implementation": "hybrid",
+            "eos_token_id": [1, 106],
+            "final_logit_softcapping": null,
+            "head_dim": 8,
+            "hidden_activation": "gelu_pytorch_tanh",
+            "hidden_size": 16,
+            "initializer_range": 0.02,
+            "intermediate_size": 32,
+            "max_position_embeddings": 32768,
+            "model_type": "gemma3_text",
+            "num_attention_heads": 2,
+            "num_hidden_layers": 2,
+            "num_key_value_heads": 1,
+            "pad_token_id": 0,
+            "query_pre_attn_scalar": 256,
+            "rms_norm_eps": 1e-06,
+            "rope_local_base_freq": 10000,
+            "rope_scaling": null,
+            "rope_theta": 1000000,
+            "sliding_window": 512,
+            "sliding_window_pattern": 6,
+            "torch_dtype": "float32",
+            "transformers_version": "4.52.0.dev0",
+            "use_cache": true,
+            "vocab_size": 262144,
+        }
+    )