Upload 2026-05-12/runs/7504-25724866471/ci_results_run_models_gpu/model_results.json with huggingface_hub

2026-05-12/runs/7504-25724866471/ci_results_run_models_gpu/model_results.json

@@ -0,0 +1,1804 @@
+{
+    "models_auto": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Tokenizers": {
+                "unclassified": 0,
+                "single": 1,
+                "multi": 1
+            },
+            "Pipelines": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "ONNX": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Auto": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 264,
+        "skipped": 14,
+        "time_spent": [
+            92.74,
+            96.1
+        ],
+        "error": false,
+        "failures": {
+            "single": [
+                {
+                    "line": "tests/models/auto/test_tokenization_auto.py::AutoTokenizerTest::test_custom_tokenizer_from_hub",
+                    "trace": "(line 687)  AssertionError: False is not true"
+                }
+            ],
+            "multi": [
+                {
+                    "line": "tests/models/auto/test_tokenization_auto.py::AutoTokenizerTest::test_custom_tokenizer_from_hub",
+                    "trace": "(line 687)  AssertionError: False is not true"
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343488",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343484"
+        },
+        "captured_info": {}
+    },
+    "models_bert": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 2
+            },
+            "Tokenizers": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Pipelines": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "ONNX": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Auto": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 417,
+        "skipped": 193,
+        "time_spent": [
+            146.19,
+            143.92
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/bert/test_modeling_bert.py::BertModelTest::test_flash_attn_2_inference_equivalence",
+                    "trace": "(line 3398)  AssertionError: Tensor-likes are not close!"
+                },
+                {
+                    "line": "tests/models/bert/test_modeling_bert.py::BertModelTest::test_flash_attn_2_inference_equivalence_right_padding",
+                    "trace": "(line 3400)  AssertionError: Tensor-likes are not close!"
+                }
+            ]
+        },
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343472",
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343528"
+        },
+        "captured_info": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343472#step:16:1",
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343528#step:16:1"
+        }
+    },
+    "models_clip": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Tokenizers": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Pipelines": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "ONNX": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Auto": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 1030,
+        "skipped": 572,
+        "time_spent": [
+            174.06,
+            169.56
+        ],
+        "error": false,
+        "failures": {},
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343468",
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343511"
+        },
+        "captured_info": {}
+    },
+    "models_csm": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Tokenizers": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Pipelines": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "ONNX": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Auto": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 292,
+        "skipped": 212,
+        "time_spent": [
+            171.39,
+            171.55
+        ],
+        "error": false,
+        "failures": {},
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343599",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343516"
+        },
+        "captured_info": {}
+    },
+    "models_detr": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Tokenizers": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Pipelines": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "ONNX": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Auto": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 251,
+        "skipped": 211,
+        "time_spent": [
+            92.44,
+            96.34
+        ],
+        "error": false,
+        "failures": {},
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343504",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343542"
+        },
+        "captured_info": {}
+    },
+    "models_gemma3": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 4,
+                "multi": 4
+            },
+            "Tokenizers": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Pipelines": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "ONNX": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Auto": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 724,
+        "skipped": 444,
+        "time_spent": [
+            601.44,
+            599.5
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/gemma3/test_modeling_gemma3.py::Gemma3IntegrationTest::test_dynamic_sliding_window_is_default",
+                    "trace": "(line 880)  AssertionError: 'DynamicSlidingWindowLayer' unexpectedly found in 'DynamicCache(layers=[DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer])'"
+                },
+                {
+                    "line": "tests/models/gemma3/test_modeling_gemma3.py::Gemma3IntegrationTest::test_model_4b_crops",
+                    "trace": "(line 595)  AssertionError: Lists differ: [\"user\\nYou are a helpful assistant.\\n\\nHe[267 chars]ve.\"] != ['user\\nYou are a helpful assistant.\\n\\nHe[268 chars]the']"
+                },
+                {
+                    "line": "tests/models/gemma3/test_modeling_gemma3.py::Gemma3IntegrationTest::test_model_4b_flash_attn",
+                    "trace": "(line 768)  AssertionError: Lists differ: ['use[75 chars]del\\nCertainly! \\n\\nThe image shows a brown an[92 chars]and'] != ['use[75 chars]del\\nThe image shows a brown and white cow sta[106 chars]day']"
+                },
+                {
+                    "line": "tests/models/gemma3/test_modeling_gemma3.py::Gemma3IntegrationTest::test_model_4b_multiimage",
+                    "trace": "(line 711)  AssertionError: Lists differ: [\"use[115 chars]image:\\n\\n**Overall Scene:**\\n\\nIt looks like [26 chars]ith\"] != [\"use[115 chars]image!\\n\\nHere's a description of the scene:\\n[17 chars]rch\"]"
+                }
+            ],
+            "single": [
+                {
+                    "line": "tests/models/gemma3/test_modeling_gemma3.py::Gemma3IntegrationTest::test_dynamic_sliding_window_is_default",
+                    "trace": "(line 880)  AssertionError: 'DynamicSlidingWindowLayer' unexpectedly found in 'DynamicCache(layers=[DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer])'"
+                },
+                {
+                    "line": "tests/models/gemma3/test_modeling_gemma3.py::Gemma3IntegrationTest::test_model_4b_crops",
+                    "trace": "(line 595)  AssertionError: Lists differ: [\"user\\nYou are a helpful assistant.\\n\\nHe[267 chars]ve.\"] != ['user\\nYou are a helpful assistant.\\n\\nHe[268 chars]the']"
+                },
+                {
+                    "line": "tests/models/gemma3/test_modeling_gemma3.py::Gemma3IntegrationTest::test_model_4b_flash_attn",
+                    "trace": "(line 768)  AssertionError: Lists differ: ['use[75 chars]del\\nCertainly! \\n\\nThe image shows a brown an[92 chars]and'] != ['use[75 chars]del\\nThe image shows a brown and white cow sta[106 chars]day']"
+                },
+                {
+                    "line": "tests/models/gemma3/test_modeling_gemma3.py::Gemma3IntegrationTest::test_model_4b_multiimage",
+                    "trace": "(line 711)  AssertionError: Lists differ: [\"use[115 chars]image:\\n\\n**Overall Scene:**\\n\\nIt looks like [26 chars]ith\"] != [\"use[115 chars]image!\\n\\nHere's a description of the scene:\\n[17 chars]rch\"]"
+                }
+            ]
+        },
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343490",
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343471"
+        },
+        "captured_info": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343490#step:16:1",
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343471#step:16:1"
+        }
+    },
+    "models_gemma3n": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 7,
+                "multi": 9
+            },
+            "Tokenizers": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Pipelines": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "ONNX": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Auto": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 606,
+        "skipped": 728,
+        "time_spent": [
+            649.36,
+            648.74
+        ],
+        "error": false,
+        "failures": {
+            "single": [
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nTextModelTest::test_flash_attn_2_equivalence",
+                    "trace": "(line 596)  AssertionError: Tensor-likes are not close!"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nTextModelTest::test_flash_attn_2_inference_equivalence",
+                    "trace": "(line 3396)  AssertionError: Tensor-likes are not close!"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nTextModelTest::test_flash_attn_2_inference_equivalence_right_padding",
+                    "trace": "(line 3396)  AssertionError: Tensor-likes are not close!"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_generation_beyond_sliding_window",
+                    "trace": "(line 1196)  AssertionError: Lists differ: [\" and the food is delicious. I'm so glad I came her[83 chars]re'\"] != [\" and the people are so friendly. I'm so glad I cam[83 chars]re'\"]"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_generation_beyond_sliding_window_with_generation_config",
+                    "trace": "(line 1228)  AssertionError: Lists differ: [\" and I'm very happy to be here. This is a nice pla[87 chars]re'\"] != [\" and I'm glad I came here. This is a nice place. T[88 chars]re'\"]"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_model_4b_bf16",
+                    "trace": "(line 998)  AssertionError: Lists differ: ['use[149 chars]to a turquoise ocean. The cow is facing the vi[31 chars]ned'] != ['use[149 chars]to a clear blue ocean. The cow is facing the v[25 chars]tly']"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_model_4b_image",
+                    "trace": "(line 1110)  AssertionError: Lists differ: ['use[149 chars]to a turquoise ocean. The cow is facing the vi[31 chars]ned'] != ['use[149 chars]to a clear blue ocean. The cow is facing the v[25 chars]tly']"
+                }
+            ],
+            "multi": [
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nTextModelTest::test_flash_attn_2_equivalence",
+                    "trace": "(line 596)  AssertionError: Tensor-likes are not close!"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nTextModelTest::test_flash_attn_2_inference_equivalence",
+                    "trace": "(line 3396)  AssertionError: Tensor-likes are not close!"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nTextModelTest::test_flash_attn_2_inference_equivalence_right_padding",
+                    "trace": "(line 3400)  AssertionError: Tensor-likes are not close!"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nVision2TextModelTest::test_model_parallelism",
+                    "trace": "(line 1962)  AttributeError: 'Gemma3nModel' object has no attribute 'hf_device_map'"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nVision2TextModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 769)  StopIteration: Caught StopIteration in replica 1 on device 1."
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_generation_beyond_sliding_window",
+                    "trace": "(line 1196)  AssertionError: Lists differ: [\" and the food is delicious. I'm so glad I came her[83 chars]re'\"] != [\" and the people are so friendly. I'm so glad I cam[83 chars]re'\"]"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_generation_beyond_sliding_window_with_generation_config",
+                    "trace": "(line 1228)  AssertionError: Lists differ: [\" and I'm very happy to be here. This is a nice pla[87 chars]re'\"] != [\" and I'm glad I came here. This is a nice place. T[88 chars]re'\"]"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_model_4b_bf16",
+                    "trace": "(line 998)  AssertionError: Lists differ: ['use[149 chars]to a turquoise ocean. The cow is facing the vi[31 chars]ned'] != ['use[149 chars]to a clear blue ocean. The cow is facing the v[25 chars]tly']"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_model_4b_image",
+                    "trace": "(line 1110)  AssertionError: Lists differ: ['use[149 chars]to a turquoise ocean. The cow is facing the vi[31 chars]ned'] != ['use[149 chars]to a clear blue ocean. The cow is facing the v[25 chars]tly']"
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343522",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343510"
+        },
+        "captured_info": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343522#step:16:1",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343510#step:16:1"
+        }
+    },
+    "models_got_ocr2": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 1,
+                "multi": 1
+            },
+            "Tokenizers": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Pipelines": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "ONNX": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Auto": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 327,
+        "skipped": 319,
+        "time_spent": [
+            193.85,
+            184.28
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/got_ocr2/test_modeling_got_ocr2.py::GotOcr2IntegrationTest::test_small_model_integration_test_got_ocr_format",
+                    "trace": "(line 210)  AssertionError: 'R\\\\&D' != '\\\\title{\\nR'"
+                }
+            ],
+            "single": [
+                {
+                    "line": "tests/models/got_ocr2/test_modeling_got_ocr2.py::GotOcr2IntegrationTest::test_small_model_integration_test_got_ocr_format",
+                    "trace": "(line 210)  AssertionError: 'R\\\\&D' != '\\\\title{\\nR'"
+                }
+            ]
+        },
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343558",
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343533"
+        },
+        "captured_info": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343558#step:16:1",
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343533#step:16:1"
+        }
+    },
+    "models_gpt2": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Tokenizers": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Pipelines": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "ONNX": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Auto": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 441,
+        "skipped": 217,
+        "time_spent": [
+            148.57,
+            151.93
+        ],
+        "error": false,
+        "failures": {},
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343660",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343527"
+        },
+        "captured_info": {}
+    },
+    "models_internvl": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 1
+            },
+            "Tokenizers": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Pipelines": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "ONNX": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Auto": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 446,
+        "skipped": 213,
+        "time_spent": [
+            239.95,
+            241.15
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/internvl/test_modeling_internvl.py::InternVLModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 769)  StopIteration: Caught StopIteration in replica 1 on device 1."
+                }
+            ]
+        },
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343497",
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343732"
+        },
+        "captured_info": {}
+    },
+    "models_llama": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Tokenizers": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Pipelines": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "ONNX": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Auto": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 459,
+        "skipped": 183,
+        "time_spent": [
+            283.02,
+            282.84
+        ],
+        "error": false,
+        "failures": {},
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343525",
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343753"
+        },
+        "captured_info": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343525#step:16:1",
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343753#step:16:1"
+        }
+    },
+    "models_llava": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 3,
+                "multi": 3
+            },
+            "Tokenizers": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Pipelines": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "ONNX": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Auto": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 433,
+        "skipped": 231,
+        "time_spent": [
+            271.31,
+            267.58
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_pixtral",
+                    "trace": "(line 971)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 40.00 MiB. GPU 0 has a total capacity of 22.30 GiB of which 10.69 MiB is free. Process 127342 has 22.29 GiB memory in use. Of the allocated memory 21.77 GiB is allocated by PyTorch, and 14.88 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)"
+                },
+                {
+                    "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_pixtral_4bit",
+                    "trace": "(line 5003)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 7.77 GiB. GPU 0 has a total capacity of 22.30 GiB of which 704.00 KiB is free. Process 127342 has 22.29 GiB memory in use. Of the allocated memory 21.78 GiB is allocated by PyTorch, and 14.86 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)"
+                },
+                {
+                    "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_pixtral_batched",
+                    "trace": "(line 724)  AssertionError: Lists differ: ['Wha[97 chars]mage?A narrow dirt path is surrounded by grass[74 chars]ue.'] != ['Wha[97 chars]mage?The image depicts a narrow, winding dirt [175 chars]ere']"
+                }
+            ],
+            "single": [
+                {
+                    "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_pixtral",
+                    "trace": "(line 971)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 140.00 MiB. GPU 0 has a total capacity of 22.30 GiB of which 86.69 MiB is free. Process 120831 has 22.21 GiB memory in use. Of the allocated memory 21.81 GiB is allocated by PyTorch, and 13.00 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)"
+                },
+                {
+                    "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_pixtral_4bit",
+                    "trace": "(line 5003)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 7.77 GiB. GPU 0 has a total capacity of 22.30 GiB of which 76.69 MiB is free. Process 120831 has 22.22 GiB memory in use. Of the allocated memory 21.82 GiB is allocated by PyTorch, and 12.99 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)"
+                },
+                {
+                    "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_pixtral_batched",
+                    "trace": "(line 724)  AssertionError: Lists differ: ['Wha[97 chars]mage?A narrow dirt path is surrounded by grass[74 chars]ue.'] != ['Wha[97 chars]mage?The image depicts a narrow, winding dirt [175 chars]ere']"
+                }
+            ]
+        },
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343493",
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343561"
+        },
+        "captured_info": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343493#step:16:1",
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343561#step:16:1"
+        }
+    },
+    "models_mistral3": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 2,
+                "multi": 2
+            },
+            "Tokenizers": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Pipelines": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "ONNX": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Auto": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 357,
+        "skipped": 245,
+        "time_spent": [
+            1150.02,
+            1135.57
+        ],
+        "error": false,
+        "failures": {
+            "single": [
+                {
+                    "line": "tests/models/mistral3/test_modeling_mistral3.py::Mistral3IntegrationTest::test_mistral3_integration_batched_generate",
+                    "trace": "(line 362)  AssertionError: ' to write a short story based on this ima[70 chars]e pl' != 'Calm waters reflect\\nWooden path to dista[26 chars]oods'"
+                },
+                {
+                    "line": "tests/models/mistral3/test_modeling_mistral3.py::Mistral3IntegrationTest::test_mistral3_integration_batched_generate_multi_image",
+                    "trace": "(line 438)  AssertionError: ' to write a short story based on this im[81 chars]ched' != \"Calm waters reflect\\nWooden path to dist[29 chars]hold\""
+                }
+            ],
+            "multi": [
+                {
+                    "line": "tests/models/mistral3/test_modeling_mistral3.py::Mistral3IntegrationTest::test_mistral3_integration_batched_generate",
+                    "trace": "(line 362)  AssertionError: ' to write a short story based on this ima[70 chars]e pl' != 'Calm waters reflect\\nWooden path to dista[26 chars]oods'"
+                },
+                {
+                    "line": "tests/models/mistral3/test_modeling_mistral3.py::Mistral3IntegrationTest::test_mistral3_integration_batched_generate_multi_image",
+                    "trace": "(line 438)  AssertionError: ' to write a short story based on this im[81 chars]ched' != \"Calm waters reflect\\nWooden path to dist[29 chars]hold\""
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343615",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343619"
+        },
+        "captured_info": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343615#step:16:1",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343619#step:16:1"
+        }
+    },
+    "models_modernbert": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 1,
+                "multi": 1
+            },
+            "Tokenizers": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Pipelines": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "ONNX": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Auto": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 240,
+        "skipped": 160,
+        "time_spent": [
+            106.94,
+            104.33
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/modernbert/test_modeling_modernbert.py::ModernBertModelIntegrationTest::test_inference_masked_lm_flash_attention_2",
+                    "trace": "(line 441)  AssertionError: Tensor-likes are not close!"
+                }
+            ],
+            "single": [
+                {
+                    "line": "tests/models/modernbert/test_modeling_modernbert.py::ModernBertModelIntegrationTest::test_inference_masked_lm_flash_attention_2",
+                    "trace": "(line 441)  AssertionError: Tensor-likes are not close!"
+                }
+            ]
+        },
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343411",
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343434"
+        },
+        "captured_info": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343411#step:16:1",
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343434#step:16:1"
+        }
+    },
+    "models_pi0": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 1,
+                "multi": 1
+            },
+            "Tokenizers": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Pipelines": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "ONNX": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Auto": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 208,
+        "skipped": 202,
+        "time_spent": [
+            143.83,
+            128.7
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/pi0/test_modeling_pi0.py::PI0ModelIntegrationTest::test_train_pi0_base_libero",
+                    "trace": "(line 769)  torch.OutOfMemoryError: Caught OutOfMemoryError in replica 0 on device 0."
+                }
+            ],
+            "single": [
+                {
+                    "line": "tests/models/pi0/test_modeling_pi0.py::PI0ModelIntegrationTest::test_train_pi0_base_libero",
+                    "trace": "(line 193)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 18.00 MiB. GPU 0 has a total capacity of 22.30 GiB of which 8.69 MiB is free. Process 101936 has 22.29 GiB memory in use. Of the allocated memory 21.50 GiB is allocated by PyTorch, and 478.92 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)"
+                }
+            ]
+        },
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343470",
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343287"
+        },
+        "captured_info": {}
+    },
+    "models_qwen2": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 1,
+                "multi": 1
+            },
+            "Tokenizers": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Pipelines": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "ONNX": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Auto": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 451,
+        "skipped": 181,
+        "time_spent": [
+            251.41,
+            246.44
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/qwen2/test_modeling_qwen2.py::Qwen2IntegrationTest::test_export_static_cache",
+                    "trace": "(line 287)  AssertionError: Lists differ: ['My [35 chars], organic, gluten free, vegan, and free from preservatives. I'] != ['My [35 chars], organic, gluten free, vegan, and vegetarian. I love to use']"
+                }
+            ],
+            "single": [
+                {
+                    "line": "tests/models/qwen2/test_modeling_qwen2.py::Qwen2IntegrationTest::test_export_static_cache",
+                    "trace": "(line 287)  AssertionError: Lists differ: ['My [35 chars], organic, gluten free, vegan, and free from preservatives. I'] != ['My [35 chars], organic, gluten free, vegan, and vegetarian. I love to use']"
+                }
+            ]
+        },
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343440",
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343432"
+        },
+        "captured_info": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343440#step:16:1",
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343432#step:16:1"
+        }
+    },
+    "models_qwen2_5_omni": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 2,
+                "multi": 3
+            },
+            "Tokenizers": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Pipelines": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "ONNX": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Auto": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 360,
+        "skipped": 235,
+        "time_spent": [
+            188.32,
+            305.42
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniThinkerForConditionalGenerationModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 769)  StopIteration: Caught StopIteration in replica 1 on device 1."
+                },
+                {
+                    "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test",
+                    "trace": "(line 692)  AssertionError: \"syst[108 chars]d is glass shattering, and the dog is a Labrador Retriever.\" != \"syst[108 chars]d is a glass shattering. The dog in the pictur[22 chars]ver.\""
+                },
+                {
+                    "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test_batch",
+                    "trace": "(line 734)  AssertionError: Lists differ: [\"sys[109 chars]d is glass shattering, and the dog is a Labrad[185 chars]er.\"] != [\"sys[109 chars]d is a glass shattering. The dog in the pictur[211 chars]er.\"]"
+                }
+            ],
+            "single": [
+                {
+                    "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test",
+                    "trace": "(line 692)  AssertionError: \"syst[108 chars]d is glass shattering, and the dog is a Labrador Retriever.\" != \"syst[108 chars]d is a glass shattering. The dog in the pictur[22 chars]ver.\""
+                },
+                {
+                    "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test_batch",
+                    "trace": "(line 734)  AssertionError: Lists differ: [\"sys[109 chars]d is glass shattering, and the dog is a Labrad[185 chars]er.\"] != [\"sys[109 chars]d is a glass shattering. The dog in the pictur[211 chars]er.\"]"
+                }
+            ]
+        },
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343436",
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343407"
+        },
+        "captured_info": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343436#step:16:1",
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343407#step:16:1"
+        }
+    },
+    "models_qwen2_5_vl": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 1,
+                "multi": 1
+            },
+            "Tokenizers": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Pipelines": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "ONNX": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Auto": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 393,
+        "skipped": 125,
+        "time_spent": [
+            240.34,
+            233.26
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py::Qwen2_5_VLIntegrationTest::test_small_model_integration_test_batch_wo_image_flashatt2",
+                    "trace": "(line 731)  AssertionError: Lists differ: ['sys[216 chars]in', 'system\\nYou are a helpful assistant.\\nus[166 chars]and'] != ['sys[216 chars]in', \"system\\nYou are a helpful assistant.\\nus[162 chars]ing\"]"
+                }
+            ],
+            "single": [
+                {
+                    "line": "tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py::Qwen2_5_VLIntegrationTest::test_small_model_integration_test_batch_wo_image_flashatt2",
+                    "trace": "(line 731)  AssertionError: Lists differ: ['sys[216 chars]in', 'system\\nYou are a helpful assistant.\\nus[166 chars]and'] != ['sys[216 chars]in', \"system\\nYou are a helpful assistant.\\nus[162 chars]ing\"]"
+                }
+            ]
+        },
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343486",
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343318"
+        },
+        "captured_info": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343486#step:16:1",
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343318#step:16:1"
+        }
+    },
+    "models_qwen2_audio": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 3
+            },
+            "Tokenizers": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Pipelines": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "ONNX": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Auto": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 326,
+        "skipped": 271,
+        "time_spent": [
+            155.11,
+            154.72
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/qwen2_audio/test_modeling_qwen2_audio.py::Qwen2AudioForConditionalGenerationModelTest::test_model_parallel_beam_search",
+                    "trace": "(line 748)  RuntimeError: indices should be either on cpu or on the same device as the indexed tensor (cuda:1)"
+                },
+                {
+                    "line": "tests/models/qwen2_audio/test_modeling_qwen2_audio.py::Qwen2AudioForConditionalGenerationModelTest::test_model_parallelism",
+                    "trace": "(line 748)  RuntimeError: indices should be either on cpu or on the same device as the indexed tensor (cuda:1)"
+                },
+                {
+                    "line": "tests/models/qwen2_audio/test_modeling_qwen2_audio.py::Qwen2AudioForConditionalGenerationModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 769)  StopIteration: Caught StopIteration in replica 1 on device 1."
+                }
+            ]
+        },
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343422",
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343492"
+        },
+        "captured_info": {}
+    },
+    "models_smolvlm": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 2
+            },
+            "Tokenizers": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Pipelines": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "ONNX": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Auto": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 667,
+        "skipped": 309,
+        "time_spent": [
+            128.14,
+            130.73
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/smolvlm/test_modeling_smolvlm.py::SmolVLMModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 769)  StopIteration: Caught StopIteration in replica 1 on device 1."
+                },
+                {
+                    "line": "tests/models/smolvlm/test_modeling_smolvlm.py::SmolVLMForConditionalGenerationModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 769)  StopIteration: Caught StopIteration in replica 1 on device 1."
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343371",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343446"
+        },
+        "captured_info": {}
+    },
+    "models_t5": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Tokenizers": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Pipelines": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "ONNX": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Auto": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 521,
+        "skipped": 507,
+        "time_spent": [
+            167.26,
+            168.32
+        ],
+        "error": false,
+        "failures": {},
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343378",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343583"
+        },
+        "captured_info": {}
+    },
+    "models_table_transformer": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 1,
+                "multi": 1
+            },
+            "Tokenizers": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Pipelines": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "ONNX": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Auto": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 156,
+        "skipped": 238,
+        "time_spent": [
+            53.27,
+            50.83
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/table_transformer/test_modeling_table_transformer.py::TableTransformerModelIntegrationTests::test_table_detection",
+                    "trace": "(line 554)  AssertionError: Tensor-likes are not close!"
+                }
+            ],
+            "single": [
+                {
+                    "line": "tests/models/table_transformer/test_modeling_table_transformer.py::TableTransformerModelIntegrationTests::test_table_detection",
+                    "trace": "(line 554)  AssertionError: Tensor-likes are not close!"
+                }
+            ]
+        },
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343531",
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343477"
+        },
+        "captured_info": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343531#step:16:1",
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343477#step:16:1"
+        }
+    },
+    "models_vit": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Tokenizers": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Pipelines": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "ONNX": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Auto": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 263,
+        "skipped": 171,
+        "time_spent": [
+            61.24,
+            61.52
+        ],
+        "error": false,
+        "failures": {},
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343438",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343461"
+        },
+        "captured_info": {}
+    },
+    "models_wav2vec2": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Tokenizers": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Pipelines": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "ONNX": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Auto": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 0,
+        "skipped": 0,
+        "time_spent": [
+            5.6,
+            5.55
+        ],
+        "error": false,
+        "failures": {},
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343426",
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343390"
+        },
+        "captured_info": {}
+    },
+    "models_whisper": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Tokenizers": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Pipelines": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "ONNX": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Auto": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 0,
+        "skipped": 0,
+        "time_spent": [
+            5.6,
+            5.59
+        ],
+        "error": false,
+        "failures": {},
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343482",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/25724866471/job/75535343602"
+        },
+        "captured_info": {}
+    }
+}