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Upload 2026-05-13/runs/7517-25787435645/ci_results_run_models_gpu/model_results_extra.json with huggingface_hub

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2026-05-13/runs/7517-25787435645/ci_results_run_models_gpu/model_results_extra.json ADDED
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+ {
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+ "models_qwen2_5_omni": {
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+ "captured_info": {
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+ "multi": {
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+ "link": "https://github.com/huggingface/transformers/actions/runs/25787435645/job/75744645618#step:16:1",
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+ "captured_info": "test:\n\ntests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py:692\n\n self.assertEqual(decoded_text, EXPECTED_DECODED_TEXT)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py:692\n\n self.assertEqual(decoded_text, EXPECTED_DECODED_TEXT)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `decoded_text`\n\nargument value:\n\n\"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is glass shattering, and the dog is a Labrador Retriever.\"\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `EXPECTED_DECODED_TEXT`\n\nargument value:\n\n\"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is a glass shattering. The dog in the picture is a Labrador Retriever.\"\n\n========================================================================================================================\n\ntest:\n\ntests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test_batch\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py:734\n\n self.assertEqual(decoded_texts, EXPECTED_DECODED_TEXTS)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py:734\n\n self.assertEqual(decoded_texts, EXPECTED_DECODED_TEXTS)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertListEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `list1`\nargument expression: `decoded_texts`\n\nargument value:\n\n[\n \"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is glass shattering, and the dog is a Labrador Retriever.\",\n \"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is glass shattering, and the dog is a Labrador Retriever.\"\n]\n\n--------------------------------------------------------------------------------\n\nargument name: `list2`\nargument expression: `EXPECTED_DECODED_TEXTS`\n\nargument value:\n\n[\n \"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is a glass shattering. The dog in the picture is a Labrador Retriever.\",\n \"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is a glass shattering. The dog in the picture is a Labrador Retriever.\"\n]\n\n========================================================================================================================\n\ntest:\n\ntests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test_batch\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py:734\n\n self.assertEqual(decoded_texts, EXPECTED_DECODED_TEXTS)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py:734\n\n self.assertEqual(decoded_texts, EXPECTED_DECODED_TEXTS)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `decoded_texts`\n\nargument value:\n\n[\n \"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is glass shattering, and the dog is a Labrador Retriever.\",\n \"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is glass shattering, and the dog is a Labrador Retriever.\"\n]\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `EXPECTED_DECODED_TEXTS`\n\nargument value:\n\n[\n \"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is a glass shattering. The dog in the picture is a Labrador Retriever.\",\n \"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is a glass shattering. The dog in the picture is a Labrador Retriever.\"\n]\n\n========================================================================================================================\n\n"
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+ },
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+ "single": {
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+ "link": "https://github.com/huggingface/transformers/actions/runs/25787435645/job/75744645639#step:16:1",
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+ "captured_info": "test:\n\ntests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py:692\n\n self.assertEqual(decoded_text, EXPECTED_DECODED_TEXT)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py:692\n\n self.assertEqual(decoded_text, EXPECTED_DECODED_TEXT)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `decoded_text`\n\nargument value:\n\n\"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is glass shattering, and the dog is a Labrador Retriever.\"\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `EXPECTED_DECODED_TEXT`\n\nargument value:\n\n\"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is a glass shattering. The dog in the picture is a Labrador Retriever.\"\n\n========================================================================================================================\n\ntest:\n\ntests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test_batch\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py:734\n\n self.assertEqual(decoded_texts, EXPECTED_DECODED_TEXTS)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py:734\n\n self.assertEqual(decoded_texts, EXPECTED_DECODED_TEXTS)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertListEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `list1`\nargument expression: `decoded_texts`\n\nargument value:\n\n[\n \"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is glass shattering, and the dog is a Labrador Retriever.\",\n \"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is glass shattering, and the dog is a Labrador Retriever.\"\n]\n\n--------------------------------------------------------------------------------\n\nargument name: `list2`\nargument expression: `EXPECTED_DECODED_TEXTS`\n\nargument value:\n\n[\n \"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is a glass shattering. The dog in the picture is a Labrador Retriever.\",\n \"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is a glass shattering. The dog in the picture is a Labrador Retriever.\"\n]\n\n========================================================================================================================\n\ntest:\n\ntests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test_batch\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py:734\n\n self.assertEqual(decoded_texts, EXPECTED_DECODED_TEXTS)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py:734\n\n self.assertEqual(decoded_texts, EXPECTED_DECODED_TEXTS)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `decoded_texts`\n\nargument value:\n\n[\n \"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is glass shattering, and the dog is a Labrador Retriever.\",\n \"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is glass shattering, and the dog is a Labrador Retriever.\"\n]\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `EXPECTED_DECODED_TEXTS`\n\nargument value:\n\n[\n \"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is a glass shattering. The dog in the picture is a Labrador Retriever.\",\n \"system\\nYou are a helpful assistant.\\nuser\\nWhat's that sound and what kind of dog is this?\\nassistant\\nThe sound is a glass shattering. The dog in the picture is a Labrador Retriever.\"\n]\n\n========================================================================================================================\n\n"
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+ }
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+ }
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+ },
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+ "models_qwen2_5_vl": {
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+ "captured_info": {
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+ "multi": {
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+ "link": "https://github.com/huggingface/transformers/actions/runs/25787435645/job/75744645636#step:16:1",
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+ "captured_info": "test:\n\ntests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py::Qwen2_5_VLIntegrationTest::test_small_model_integration_test_batch_wo_image_flashatt2\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py:731\n\n self.assertEqual(decoded_text, EXPECTED_DECODED_TEXT)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py:731\n\n self.assertEqual(decoded_text, EXPECTED_DECODED_TEXT)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertListEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `list1`\nargument expression: `decoded_text`\n\nargument value:\n\n[\n \"system\\nYou are a helpful assistant.\\nuser\\nWhat kind of dog is this?\\nassistant\\nThe dog in the picture appears to be a Labrador Retriever. Labradors are known for their friendly and energetic nature, which is evident in\",\n \"system\\nYou are a helpful assistant.\\nuser\\nWho are you?\\nassistant\\nI am Qwen, a large language model created by Alibaba Cloud. I am designed to assist with a wide range of tasks, from answering questions and\"\n]\n\n--------------------------------------------------------------------------------\n\nargument name: `list2`\nargument expression: `EXPECTED_DECODED_TEXT`\n\nargument value:\n\n[\n \"system\\nYou are a helpful assistant.\\nuser\\nWhat kind of dog is this?\\nassistant\\nThe dog in the picture appears to be a Labrador Retriever. Labradors are known for their friendly and energetic nature, which is evident in\",\n \"system\\nYou are a helpful assistant.\\nuser\\nWho are you?\\nassistant\\n�\\n\\n addCriterion\\nI'm sorry, but I don't understand your question. Could you please provide more context or clarify what you're asking\"\n]\n\n========================================================================================================================\n\ntest:\n\ntests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py::Qwen2_5_VLIntegrationTest::test_small_model_integration_test_batch_wo_image_flashatt2\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py:731\n\n self.assertEqual(decoded_text, EXPECTED_DECODED_TEXT)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py:731\n\n self.assertEqual(decoded_text, EXPECTED_DECODED_TEXT)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `decoded_text`\n\nargument value:\n\n[\n \"system\\nYou are a helpful assistant.\\nuser\\nWhat kind of dog is this?\\nassistant\\nThe dog in the picture appears to be a Labrador Retriever. Labradors are known for their friendly and energetic nature, which is evident in\",\n \"system\\nYou are a helpful assistant.\\nuser\\nWho are you?\\nassistant\\nI am Qwen, a large language model created by Alibaba Cloud. I am designed to assist with a wide range of tasks, from answering questions and\"\n]\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `EXPECTED_DECODED_TEXT`\n\nargument value:\n\n[\n \"system\\nYou are a helpful assistant.\\nuser\\nWhat kind of dog is this?\\nassistant\\nThe dog in the picture appears to be a Labrador Retriever. Labradors are known for their friendly and energetic nature, which is evident in\",\n \"system\\nYou are a helpful assistant.\\nuser\\nWho are you?\\nassistant\\n�\\n\\n addCriterion\\nI'm sorry, but I don't understand your question. Could you please provide more context or clarify what you're asking\"\n]\n\n========================================================================================================================\n\n"
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+ },
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+ "single": {
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+ "link": "https://github.com/huggingface/transformers/actions/runs/25787435645/job/75744645658#step:16:1",
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+ "captured_info": "test:\n\ntests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py::Qwen2_5_VLIntegrationTest::test_small_model_integration_test_batch_wo_image_flashatt2\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py:731\n\n self.assertEqual(decoded_text, EXPECTED_DECODED_TEXT)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py:731\n\n self.assertEqual(decoded_text, EXPECTED_DECODED_TEXT)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertListEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `list1`\nargument expression: `decoded_text`\n\nargument value:\n\n[\n \"system\\nYou are a helpful assistant.\\nuser\\nWhat kind of dog is this?\\nassistant\\nThe dog in the picture appears to be a Labrador Retriever. Labradors are known for their friendly and energetic nature, which is evident in\",\n \"system\\nYou are a helpful assistant.\\nuser\\nWho are you?\\nassistant\\nI am Qwen, a large language model created by Alibaba Cloud. I am designed to assist with a wide range of tasks, from answering questions and\"\n]\n\n--------------------------------------------------------------------------------\n\nargument name: `list2`\nargument expression: `EXPECTED_DECODED_TEXT`\n\nargument value:\n\n[\n \"system\\nYou are a helpful assistant.\\nuser\\nWhat kind of dog is this?\\nassistant\\nThe dog in the picture appears to be a Labrador Retriever. Labradors are known for their friendly and energetic nature, which is evident in\",\n \"system\\nYou are a helpful assistant.\\nuser\\nWho are you?\\nassistant\\n�\\n\\n addCriterion\\nI'm sorry, but I don't understand your question. Could you please provide more context or clarify what you're asking\"\n]\n\n========================================================================================================================\n\ntest:\n\ntests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py::Qwen2_5_VLIntegrationTest::test_small_model_integration_test_batch_wo_image_flashatt2\n\n--------------------------------------------------------------------------------\n\ntest context: /transformers/tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py:731\n\n self.assertEqual(decoded_text, EXPECTED_DECODED_TEXT)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py:731\n\n self.assertEqual(decoded_text, EXPECTED_DECODED_TEXT)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `decoded_text`\n\nargument value:\n\n[\n \"system\\nYou are a helpful assistant.\\nuser\\nWhat kind of dog is this?\\nassistant\\nThe dog in the picture appears to be a Labrador Retriever. Labradors are known for their friendly and energetic nature, which is evident in\",\n \"system\\nYou are a helpful assistant.\\nuser\\nWho are you?\\nassistant\\nI am Qwen, a large language model created by Alibaba Cloud. I am designed to assist with a wide range of tasks, from answering questions and\"\n]\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `EXPECTED_DECODED_TEXT`\n\nargument value:\n\n[\n \"system\\nYou are a helpful assistant.\\nuser\\nWhat kind of dog is this?\\nassistant\\nThe dog in the picture appears to be a Labrador Retriever. Labradors are known for their friendly and energetic nature, which is evident in\",\n \"system\\nYou are a helpful assistant.\\nuser\\nWho are you?\\nassistant\\n�\\n\\n addCriterion\\nI'm sorry, but I don't understand your question. Could you please provide more context or clarify what you're asking\"\n]\n\n========================================================================================================================\n\n"
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+ }
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+ }
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+ }
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+ }