Upload 2025-10-09/runs/5451-18379840398/ci_results_run_models_gpu/model_results.json with huggingface_hub

2025-10-09/runs/5451-18379840398/ci_results_run_models_gpu/model_results.json

@@ -0,0 +1,2062 @@
+{
+    "models_auto": {
+        "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": 226,
+        "skipped": 10,
+        "time_spent": [
+            53.15,
+            58.9
+        ],
+        "error": false,
+        "failures": {},
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363419060",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363418995"
+        },
+        "captured_info": {}
+    },
+    "models_bert": {
+        "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": [],
+        "error": false,
+        "failures": {},
+        "job_link": {},
+        "captured_info": {}
+    },
+    "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": 456,
+        "skipped": 283,
+        "time_spent": [
+            144.16
+        ],
+        "error": false,
+        "failures": {},
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363419007"
+        },
+        "captured_info": {}
+    },
+    "models_csm": {
+        "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": 120,
+        "skipped": 84,
+        "time_spent": [
+            132.95
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/csm/test_modeling_csm.py::CsmForConditionalGenerationTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 129)  TypeError: 'DynamicCache' object is not iterable"
+                }
+            ]
+        },
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363418997"
+        },
+        "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": 0,
+        "skipped": 0,
+        "time_spent": [],
+        "error": false,
+        "failures": {},
+        "job_link": {},
+        "captured_info": {}
+    },
+    "models_gemma3": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 0,
+                "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": 291,
+        "skipped": 167,
+        "time_spent": [
+            1130.55
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/gemma3/test_modeling_gemma3.py::Gemma3TextModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 129)  TypeError: 'DynamicCache' object is not iterable"
+                },
+                {
+                    "line": "tests/models/gemma3/test_modeling_gemma3.py::Gemma3Vision2TextModelTest::test_flash_attn_2_from_config",
+                    "trace": "(line 777)  ValueError: `token_type_ids` is required as a model input when training"
+                },
+                {
+                    "line": "tests/models/gemma3/test_modeling_gemma3.py::Gemma3Vision2TextModelTest::test_flash_attn_2_inference_equivalence",
+                    "trace": "(line 777)  ValueError: `token_type_ids` is required as a model input when training"
+                },
+                {
+                    "line": "tests/models/gemma3/test_modeling_gemma3.py::Gemma3Vision2TextModelTest::test_model_parallelism",
+                    "trace": "(line 801)  RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:1 and cuda:0!"
+                }
+            ]
+        },
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363419028"
+        },
+        "captured_info": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363419028#step:16:1"
+        }
+    },
+    "models_gemma3n": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 12,
+                "multi": 14
+            },
+            "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": 303,
+        "skipped": 717,
+        "time_spent": [
+            248.07,
+            246.44
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nTextModelTest::test_flash_attention_2_padding_matches_padding_free_with_position_ids",
+                    "trace": "(line 2060)  AssertionError: Tensor-likes are not close!"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nTextModelTest::test_flash_attn_2_equivalence",
+                    "trace": "(line 556)  AssertionError: Tensor-likes are not close!"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nTextModelTest::test_flash_attn_2_inference_equivalence",
+                    "trace": "(line 3113)  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 3113)  AssertionError: Tensor-likes are not close!"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nTextModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 129)  TypeError: 'DynamicCache' object is not iterable"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_generation_beyond_sliding_window_0_sdpa",
+                    "trace": "(line 15)  TypeError: 'torchcodec.decoders.AudioDecoder' object is not subscriptable"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_generation_beyond_sliding_window_1_eager",
+                    "trace": "(line 15)  TypeError: 'torchcodec.decoders.AudioDecoder' object is not subscriptable"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_generation_beyond_sliding_window_2_flash_attention_2",
+                    "trace": "(line 15)  TypeError: 'torchcodec.decoders.AudioDecoder' object is not subscriptable"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_generation_beyond_sliding_window_with_generation_config",
+                    "trace": "(line 15)  TypeError: 'torchcodec.decoders.AudioDecoder' object is not subscriptable"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_model_4b_batch",
+                    "trace": "(line 15)  TypeError: 'torchcodec.decoders.AudioDecoder' object is not subscriptable"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_model_4b_bf16",
+                    "trace": "(line 15)  TypeError: 'torchcodec.decoders.AudioDecoder' object is not subscriptable"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_model_4b_image",
+                    "trace": "(line 15)  TypeError: 'torchcodec.decoders.AudioDecoder' object is not subscriptable"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_model_4b_multiimage",
+                    "trace": "(line 15)  TypeError: 'torchcodec.decoders.AudioDecoder' object is not subscriptable"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_model_with_audio",
+                    "trace": "(line 15)  TypeError: 'torchcodec.decoders.AudioDecoder' object is not subscriptable"
+                }
+            ],
+            "single": [
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nTextModelTest::test_flash_attn_2_equivalence",
+                    "trace": "(line 556)  AssertionError: Tensor-likes are not close!"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nTextModelTest::test_flash_attn_2_inference_equivalence",
+                    "trace": "(line 3113)  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 3120)  AssertionError: Tensor-likes are not close!"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_generation_beyond_sliding_window_0_sdpa",
+                    "trace": "(line 15)  TypeError: 'torchcodec.decoders.AudioDecoder' object is not subscriptable"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_generation_beyond_sliding_window_1_eager",
+                    "trace": "(line 15)  TypeError: 'torchcodec.decoders.AudioDecoder' object is not subscriptable"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_generation_beyond_sliding_window_2_flash_attention_2",
+                    "trace": "(line 15)  TypeError: 'torchcodec.decoders.AudioDecoder' object is not subscriptable"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_generation_beyond_sliding_window_with_generation_config",
+                    "trace": "(line 15)  TypeError: 'torchcodec.decoders.AudioDecoder' object is not subscriptable"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_model_4b_batch",
+                    "trace": "(line 15)  TypeError: 'torchcodec.decoders.AudioDecoder' object is not subscriptable"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_model_4b_bf16",
+                    "trace": "(line 15)  TypeError: 'torchcodec.decoders.AudioDecoder' object is not subscriptable"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_model_4b_image",
+                    "trace": "(line 15)  TypeError: 'torchcodec.decoders.AudioDecoder' object is not subscriptable"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_model_4b_multiimage",
+                    "trace": "(line 15)  TypeError: 'torchcodec.decoders.AudioDecoder' object is not subscriptable"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_model_with_audio",
+                    "trace": "(line 15)  TypeError: 'torchcodec.decoders.AudioDecoder' object is not subscriptable"
+                }
+            ]
+        },
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363419039",
+            "single": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363418940"
+        },
+        "captured_info": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363419039#step:16:1",
+            "single": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363418940#step:16:1"
+        }
+    },
+    "models_got_ocr2": {
+        "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": 127,
+        "skipped": 161,
+        "time_spent": [
+            117.23
+        ],
+        "error": false,
+        "failures": {},
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363418958"
+        },
+        "captured_info": {}
+    },
+    "models_gpt2": {
+        "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": 470,
+        "skipped": 215,
+        "time_spent": [
+            140.74,
+            144.86
+        ],
+        "error": false,
+        "failures": {
+            "single": [
+                {
+                    "line": "tests/models/gpt2/test_modeling_gpt2.py::GPT2ModelLanguageGenerationTest::test_contrastive_search_gpt2",
+                    "trace": "(line 286)  TypeError: 'DynamicCache' object is not subscriptable"
+                },
+                {
+                    "line": "tests/models/gpt2/test_modeling_gpt2.py::GPT2ModelLanguageGenerationTest::test_flash_attn_2_generate_padding_left",
+                    "trace": "(line 445)  AssertionError: Lists differ: ['<|e[141 chars]ta', \"Hello this is a very long sentence. I'm [46 chars]rry\"] != ['<|e[141 chars]ta', 'Hello this is a very long sentence very [91 chars]ong']"
+                }
+            ],
+            "multi": [
+                {
+                    "line": "tests/models/gpt2/test_modeling_gpt2.py::GPT2ModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 129)  TypeError: 'DynamicCache' object is not iterable"
+                },
+                {
+                    "line": "tests/models/gpt2/test_modeling_gpt2.py::GPT2ModelLanguageGenerationTest::test_contrastive_search_gpt2",
+                    "trace": "(line 286)  TypeError: 'DynamicCache' object is not subscriptable"
+                },
+                {
+                    "line": "tests/models/gpt2/test_modeling_gpt2.py::GPT2ModelLanguageGenerationTest::test_flash_attn_2_generate_padding_left",
+                    "trace": "(line 445)  AssertionError: Lists differ: ['<|e[141 chars]ta', \"Hello this is a very long sentence. I'm [46 chars]rry\"] != ['<|e[141 chars]ta', 'Hello this is a very long sentence very [91 chars]ong']"
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363418953",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363419012"
+        },
+        "captured_info": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363418953#step:16:1",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363419012#step:16:1"
+        }
+    },
+    "models_gpt_oss": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 77,
+                "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": 94,
+        "skipped": 149,
+        "time_spent": [
+            1346.25
+        ],
+        "error": false,
+        "failures": {
+            "single": [
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssModelTest::test_flash_attention_2_padding_matches_padding_free_with_position_ids_and_fa_kwargs",
+                    "trace": "(line 2060)  AssertionError: Tensor-likes are not close!"
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssModelTest::test_flash_attn_2_inference_equivalence",
+                    "trace": "(line 3113)  AssertionError: Tensor-likes are not close!"
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssModelTest::test_flash_attn_2_inference_equivalence_right_padding",
+                    "trace": "(line 3113)  AssertionError: Tensor-likes are not close!"
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_matches_original_120b",
+                    "trace": "(line 140)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.30 GiB of which 2.02 GiB is free. Process 25599 has 20.28 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.18 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_matches_original_20b",
+                    "trace": "(line 140)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.30 GiB of which 1.65 GiB is free. Process 25599 has 20.64 GiB memory in use. Of the allocated memory 17.38 GiB is allocated by PyTorch, and 2.89 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_00",
+                    "trace": "(line 140)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.30 GiB of which 1.65 GiB is free. Process 25599 has 20.64 GiB memory in use. Of the allocated memory 17.38 GiB is allocated by PyTorch, and 2.89 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_01",
+                    "trace": "(line 140)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.30 GiB of which 1.65 GiB is free. Process 25599 has 20.64 GiB memory in use. Of the allocated memory 17.38 GiB is allocated by PyTorch, and 2.89 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_02",
+                    "trace": "(line 187)  ImportError: `kernels` is either not installed or uses an incompatible version. Please install the latest version with `pip install -U kernels`."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_03",
+                    "trace": "(line 187)  ImportError: `kernels` is either not installed or uses an incompatible version. Please install the latest version with `pip install -U kernels`."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_04",
+                    "trace": "(line 140)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.30 GiB of which 1.65 GiB is free. Process 25599 has 20.64 GiB memory in use. Of the allocated memory 17.38 GiB is allocated by PyTorch, and 2.89 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_05",
+                    "trace": "(line 140)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.30 GiB of which 1.65 GiB is free. Process 25599 has 20.64 GiB memory in use. Of the allocated memory 17.38 GiB is allocated by PyTorch, and 2.89 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_06",
+                    "trace": "(line 187)  ImportError: `kernels` is either not installed or uses an incompatible version. Please install the latest version with `pip install -U kernels`."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_07",
+                    "trace": "(line 187)  ImportError: `kernels` is either not installed or uses an incompatible version. Please install the latest version with `pip install -U kernels`."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_08",
+                    "trace": "(line 140)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.30 GiB of which 1.65 GiB is free. Process 25599 has 20.64 GiB memory in use. Of the allocated memory 17.38 GiB is allocated by PyTorch, and 2.89 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_09",
+                    "trace": "(line 140)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.30 GiB of which 1.65 GiB is free. Process 25599 has 20.64 GiB memory in use. Of the allocated memory 17.38 GiB is allocated by PyTorch, and 2.89 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_10",
+                    "trace": "(line 187)  ImportError: `kernels` is either not installed or uses an incompatible version. Please install the latest version with `pip install -U kernels`."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_11",
+                    "trace": "(line 187)  ImportError: `kernels` is either not installed or uses an incompatible version. Please install the latest version with `pip install -U kernels`."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_12",
+                    "trace": "(line 140)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.30 GiB of which 1.65 GiB is free. Process 25599 has 20.64 GiB memory in use. Of the allocated memory 17.38 GiB is allocated by PyTorch, and 2.89 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_13",
+                    "trace": "(line 140)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.30 GiB of which 1.65 GiB is free. Process 25599 has 20.64 GiB memory in use. Of the allocated memory 17.38 GiB is allocated by PyTorch, and 2.89 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_14",
+                    "trace": "(line 187)  ImportError: `kernels` is either not installed or uses an incompatible version. Please install the latest version with `pip install -U kernels`."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_15",
+                    "trace": "(line 187)  ImportError: `kernels` is either not installed or uses an incompatible version. Please install the latest version with `pip install -U kernels`."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_16",
+                    "trace": "(line 140)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.30 GiB of which 2.02 GiB is free. Process 25599 has 20.28 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.18 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_17",
+                    "trace": "(line 140)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.30 GiB of which 2.02 GiB is free. Process 25599 has 20.28 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.18 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_18",
+                    "trace": "(line 187)  ImportError: `kernels` is either not installed or uses an incompatible version. Please install the latest version with `pip install -U kernels`."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_19",
+                    "trace": "(line 187)  ImportError: `kernels` is either not installed or uses an incompatible version. Please install the latest version with `pip install -U kernels`."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_20",
+                    "trace": "(line 140)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.30 GiB of which 2.02 GiB is free. Process 25599 has 20.28 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.18 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_21",
+                    "trace": "(line 140)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.30 GiB of which 2.02 GiB is free. Process 25599 has 20.28 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.18 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_22",
+                    "trace": "(line 187)  ImportError: `kernels` is either not installed or uses an incompatible version. Please install the latest version with `pip install -U kernels`."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_23",
+                    "trace": "(line 187)  ImportError: `kernels` is either not installed or uses an incompatible version. Please install the latest version with `pip install -U kernels`."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_24",
+                    "trace": "(line 140)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.30 GiB of which 2.02 GiB is free. Process 25599 has 20.28 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.18 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_25",
+                    "trace": "(line 140)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.30 GiB of which 2.02 GiB is free. Process 25599 has 20.28 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.18 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_26",
+                    "trace": "(line 187)  ImportError: `kernels` is either not installed or uses an incompatible version. Please install the latest version with `pip install -U kernels`."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_27",
+                    "trace": "(line 187)  ImportError: `kernels` is either not installed or uses an incompatible version. Please install the latest version with `pip install -U kernels`."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_28",
+                    "trace": "(line 140)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.30 GiB of which 2.02 GiB is free. Process 25599 has 20.28 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.18 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_29",
+                    "trace": "(line 140)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.30 GiB of which 2.02 GiB is free. Process 25599 has 20.28 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.18 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_30",
+                    "trace": "(line 187)  ImportError: `kernels` is either not installed or uses an incompatible version. Please install the latest version with `pip install -U kernels`."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_31",
+                    "trace": "(line 187)  ImportError: `kernels` is either not installed or uses an incompatible version. Please install the latest version with `pip install -U kernels`."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_00",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpsav6ja5__worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_01",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpj6fxm70x_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_02",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpm5kjcu4u_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_03",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpixih8_5h_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_04",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpnw80uj89_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_05",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmp61vglyj4_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_06",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpz6fhm9bn_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_07",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpbf0dguia_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_08",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpf43v3jww_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_09",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmp0tzpxu1u_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_10",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpx1njiivm_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_11",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmprd79_bj4_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_12",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpv62b1ryi_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_13",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmp2f5h7iyb_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_14",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpx1ix9sil_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_15",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmplxj_gn1p_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_16",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpksd5i4tj_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_17",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpea68osmr_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_18",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmp_i9byff9_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_19",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpuqncjsp3_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_20",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpf5fppngs_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_21",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpbncf2120_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_22",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpyev478yq_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_23",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmp69b_4l69_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_24",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpg5_fd9fx_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_25",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpjemb0s_o_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_26",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpx6hx3dtl_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_27",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpsq9t944u_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_28",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpb3wf5e98_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_29",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmp5jtqtn7v_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_30",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpxosrpgf4_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_model_outputs_distributed_31",
+                    "trace": "(line 526)  subprocess.CalledProcessError: Command '['torchrun', '--nproc_per_node=1', '/tmp/tmpt89_m4fp_worker.py']' returned non-zero exit status 1."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_training_step_01",
+                    "trace": "(line 140)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.30 GiB of which 1.65 GiB is free. Process 25599 has 20.64 GiB memory in use. Of the allocated memory 17.38 GiB is allocated by PyTorch, and 2.89 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_training_step_03",
+                    "trace": "(line 187)  ImportError: `kernels` is either not installed or uses an incompatible version. Please install the latest version with `pip install -U kernels`."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_training_step_05",
+                    "trace": "(line 140)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.98 GiB. GPU 0 has a total capacity of 22.30 GiB of which 1.65 GiB is free. Process 25599 has 20.64 GiB memory in use. Of the allocated memory 17.38 GiB is allocated by PyTorch, and 2.89 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_training_step_07",
+                    "trace": "(line 187)  ImportError: `kernels` is either not installed or uses an incompatible version. Please install the latest version with `pip install -U kernels`."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_training_step_17",
+                    "trace": "(line 140)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.30 GiB of which 2.02 GiB is free. Process 25599 has 20.28 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.18 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_training_step_19",
+                    "trace": "(line 187)  ImportError: `kernels` is either not installed or uses an incompatible version. Please install the latest version with `pip install -U kernels`."
+                },
+                {
+                    "line": "tests/models/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_training_step_21",
+                    "trace": "(line 140)  torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 4.00 GiB. GPU 0 has a total capacity of 22.30 GiB of which 2.02 GiB is free. Process 25599 has 20.28 GiB memory in use. Of the allocated memory 17.72 GiB is allocated by PyTorch, and 2.18 GiB 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/gpt_oss/test_modeling_gpt_oss.py::GptOssIntegrationTest::test_training_step_23",
+                    "trace": "(line 187)  ImportError: `kernels` is either not installed or uses an incompatible version. Please install the latest version with `pip install -U kernels`."
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363418998"
+        },
+        "captured_info": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363418998#step:16:1"
+        }
+    },
+    "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": 366,
+        "skipped": 217,
+        "time_spent": [
+            219.94,
+            218.51
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/internvl/test_modeling_internvl.py::InternVLModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 129)  TypeError: 'DynamicCache' object is not iterable"
+                }
+            ]
+        },
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363419020",
+            "single": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363418962"
+        },
+        "captured_info": {}
+    },
+    "models_llama": {
+        "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": 502,
+        "skipped": 211,
+        "time_spent": [
+            262.3,
+            257.84
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/llama/test_modeling_llama.py::LlamaModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 129)  TypeError: 'DynamicCache' object is not iterable"
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363419059",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363419003"
+        },
+        "captured_info": {}
+    },
+    "models_llava": {
+        "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": 364,
+        "skipped": 127,
+        "time_spent": [
+            548.74,
+            524.26
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 129)  TypeError: 'DynamicCache' object is not iterable"
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363418979",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363419022"
+        },
+        "captured_info": {}
+    },
+    "models_mistral3": {
+        "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": 280,
+        "skipped": 247,
+        "time_spent": [
+            610.06,
+            594.91
+        ],
+        "error": false,
+        "failures": {
+            "single": [
+                {
+                    "line": "tests/models/mistral3/test_modeling_mistral3.py::Mistral3IntegrationTest::test_mistral3_integration_batched_generate",
+                    "trace": "(line 362)  AssertionError: 'Calm waters reflect\\nWooden path to distant shore\\nSilence in the woods' != \"Wooden path to calm,\\nReflections whisper secrets,\\nNature's peace unfolds.\""
+                },
+                {
+                    "line": "tests/models/mistral3/test_modeling_mistral3.py::Mistral3IntegrationTest::test_mistral3_integration_batched_generate_multi_image",
+                    "trace": "(line 438)  AssertionError: \"Calm waters reflect\\nWooden path to distant shore\\nPeace in nature's hold\" != 'Calm waters reflect\\nWooden path to distant shore\\nSilence in the scene'"
+                }
+            ],
+            "multi": [
+                {
+                    "line": "tests/models/mistral3/test_modeling_mistral3.py::Mistral3ModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 129)  TypeError: 'DynamicCache' object is not iterable"
+                },
+                {
+                    "line": "tests/models/mistral3/test_modeling_mistral3.py::Mistral3IntegrationTest::test_mistral3_integration_batched_generate",
+                    "trace": "(line 362)  AssertionError: 'Calm waters reflect\\nWooden path to distant shore\\nSilence in the woods' != \"Wooden path to calm,\\nReflections whisper secrets,\\nNature's peace unfolds.\""
+                },
+                {
+                    "line": "tests/models/mistral3/test_modeling_mistral3.py::Mistral3IntegrationTest::test_mistral3_integration_batched_generate_multi_image",
+                    "trace": "(line 438)  AssertionError: \"Calm waters reflect\\nWooden path to distant shore\\nPeace in nature's hold\" != 'Calm waters reflect\\nWooden path to distant shore\\nSilence in the scene'"
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363418944",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363419029"
+        },
+        "captured_info": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363418944#step:16:1",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363419029#step:16:1"
+        }
+    },
+    "models_modernbert": {
+        "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": 89,
+        "skipped": 92,
+        "time_spent": [
+            124.89
+        ],
+        "error": false,
+        "failures": {},
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363418946"
+        },
+        "captured_info": {}
+    },
+    "models_qwen2": {
+        "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": 238,
+        "skipped": 98,
+        "time_spent": [
+            180.53
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/qwen2/test_modeling_qwen2.py::Qwen2ModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 129)  TypeError: 'DynamicCache' object is not iterable"
+                }
+            ]
+        },
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363419879"
+        },
+        "captured_info": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363419879#step:16:1"
+        }
+    },
+    "models_qwen2_5_omni": {
+        "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": 156,
+        "skipped": 52,
+        "time_spent": [
+            178.38
+        ],
+        "error": false,
+        "failures": {},
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363418956"
+        },
+        "captured_info": {}
+    },
+    "models_qwen2_5_vl": {
+        "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": 166,
+        "skipped": 48,
+        "time_spent": [
+            204.57
+        ],
+        "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_different_resolutions",
+                    "trace": "(line 612)  AssertionError: 'syst[73 chars]ant\\n addCriterion\\nThe dog in the picture app[95 chars]h is' != 'syst[73 chars]ant\\nThe dog in the picture appears to be a La[94 chars]t in'"
+                },
+                {
+                    "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 683)  AssertionError: Lists differ: ['sys[216 chars]in', 'system\\nYou are a helpful assistant.\\nus[29 chars]aks'] != ['sys[216 chars]in', \"system\\nYou are a helpful assistant.\\nus[162 chars]ing\"]"
+                }
+            ]
+        },
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363418927"
+        },
+        "captured_info": {}
+    },
+    "models_qwen2_audio": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 1,
+                "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": 262,
+        "skipped": 147,
+        "time_spent": [
+            123.48,
+            125.3
+        ],
+        "error": false,
+        "failures": {
+            "single": [
+                {
+                    "line": "tests/models/qwen2_audio/test_modeling_qwen2_audio.py::Qwen2AudioForConditionalGenerationModelTest::test_eager_matches_fa2_generate",
+                    "trace": "(line 165)  RuntimeError: cu_seqlens_q must have shape (batch_size + 1)"
+                }
+            ],
+            "multi": [
+                {
+                    "line": "tests/models/qwen2_audio/test_modeling_qwen2_audio.py::Qwen2AudioForConditionalGenerationModelTest::test_eager_matches_fa2_generate",
+                    "trace": "(line 165)  RuntimeError: cu_seqlens_q must have shape (batch_size + 1)"
+                },
+                {
+                    "line": "tests/models/qwen2_audio/test_modeling_qwen2_audio.py::Qwen2AudioForConditionalGenerationModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 129)  TypeError: 'DynamicCache' object is not iterable"
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363418952",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363418900"
+        },
+        "captured_info": {}
+    },
+    "models_smolvlm": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 1,
+                "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": 259,
+        "skipped": 102,
+        "time_spent": [
+            95.27
+        ],
+        "error": false,
+        "failures": {
+            "single": [
+                {
+                    "line": "tests/models/smolvlm/test_modeling_smolvlm.py::SmolVLMForConditionalGenerationIntegrationTest::test_integration_test_video",
+                    "trace": "(line 589)  AssertionError: 'User[310 chars]ideo depicts a large language model architectu[58 chars]ture' != 'User[310 chars]ideo showcases a large language model, specifi[56 chars] and'"
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363418926"
+        },
+        "captured_info": {}
+    },
+    "models_t5": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 1,
+                "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": 576,
+        "skipped": 493,
+        "time_spent": [
+            191.45,
+            196.39
+        ],
+        "error": false,
+        "failures": {
+            "single": [
+                {
+                    "line": "tests/models/t5/test_modeling_t5.py::T5ModelIntegrationTests::test_contrastive_search_t5",
+                    "trace": "(line 286)  TypeError: 'EncoderDecoderCache' object is not subscriptable"
+                }
+            ],
+            "multi": [
+                {
+                    "line": "tests/models/t5/test_modeling_t5.py::T5ModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 129)  TypeError: 'EncoderDecoderCache' object is not iterable"
+                },
+                {
+                    "line": "tests/models/t5/test_modeling_t5.py::T5ModelIntegrationTests::test_contrastive_search_t5",
+                    "trace": "(line 286)  TypeError: 'EncoderDecoderCache' object is not subscriptable"
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363419000",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363418941"
+        },
+        "captured_info": {}
+    },
+    "models_table_transformer": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 2,
+                "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": 52,
+        "skipped": 121,
+        "time_spent": [
+            48.67
+        ],
+        "error": false,
+        "failures": {
+            "single": [
+                {
+                    "line": "tests/models/table_transformer/test_modeling_table_transformer.py::TableTransformerModelTest::test_torch_export",
+                    "trace": "(line 745)  torch._dynamo.exc.Unsupported: Attempted to call function marked as skipped"
+                },
+                {
+                    "line": "tests/models/table_transformer/test_modeling_table_transformer.py::TableTransformerModelIntegrationTests::test_table_detection",
+                    "trace": "(line 571)  AssertionError: Tensor-likes are not close!"
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363418951"
+        },
+        "captured_info": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363418951#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": 219,
+        "skipped": 169,
+        "time_spent": [
+            54.32,
+            53.36
+        ],
+        "error": false,
+        "failures": {},
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363418934",
+            "single": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363418954"
+        },
+        "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": 696,
+        "skipped": 370,
+        "time_spent": [
+            306.56,
+            286.22
+        ],
+        "error": false,
+        "failures": {},
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363418909",
+            "single": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363418939"
+        },
+        "captured_info": {}
+    },
+    "models_whisper": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 3,
+                "multi": 5
+            },
+            "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": 1015,
+        "skipped": 391,
+        "time_spent": [
+            734.01,
+            702.84
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 129)  TypeError: 'EncoderDecoderCache' object is not iterable"
+                },
+                {
+                    "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_small_longform_timestamps_generation",
+                    "trace": "(line 1993)  AssertionError: Lists differ: [{'te[649 chars] 45.38)}, {'text': ' can discover in it but li[620 chars]16)}] != [{'te[649 chars] 45.36)}, {'text': ' can discover in it but li[620 chars]16)}]"
+                },
+                {
+                    "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_whisper_longform_multi_batch_hard",
+                    "trace": "(line 2898)  AssertionError: Lists differ: [\" Fo[272 chars]ting of classics, Sicilian, nade door variatio[8147 chars]le!'] != [\" Fo[272 chars]ting a classic Sicilian, nade door variation o[8150 chars]le!']"
+                },
+                {
+                    "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_whisper_shortform_single_batch_prev_cond",
+                    "trace": "(line 2667)  AssertionError: Lists differ: [\" Fo[268 chars]ating, so soft, it would make JD power and her[196 chars]ke.\"] != [\" Fo[268 chars]ating so soft, it would make JD power and her [195 chars]ke.\"]"
+                },
+                {
+                    "line": "tests/models/whisper/test_modeling_whisper.py::WhisperStandaloneDecoderModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 129)  TypeError: 'DynamicCache' object is not iterable"
+                }
+            ],
+            "single": [
+                {
+                    "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_small_longform_timestamps_generation",
+                    "trace": "(line 1993)  AssertionError: Lists differ: [{'te[649 chars] 45.38)}, {'text': ' can discover in it but li[620 chars]16)}] != [{'te[649 chars] 45.36)}, {'text': ' can discover in it but li[620 chars]16)}]"
+                },
+                {
+                    "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_whisper_longform_multi_batch_hard",
+                    "trace": "(line 2898)  AssertionError: Lists differ: [\" Fo[272 chars]ting of classics, Sicilian, nade door variatio[8147 chars]le!'] != [\" Fo[272 chars]ting a classic Sicilian, nade door variation o[8150 chars]le!']"
+                },
+                {
+                    "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_whisper_shortform_single_batch_prev_cond",
+                    "trace": "(line 2667)  AssertionError: Lists differ: [\" Fo[268 chars]ating, so soft, it would make JD power and her[196 chars]ke.\"] != [\" Fo[268 chars]ating so soft, it would make JD power and her [195 chars]ke.\"]"
+                }
+            ]
+        },
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363418919",
+            "single": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363418973"
+        },
+        "captured_info": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363418919#step:16:1",
+            "single": "https://github.com/huggingface/transformers/actions/runs/18379840398/job/52363418973#step:16:1"
+        }
+    }
+}