Upload 2025-12-17/runs/25629-20300023387/ci_results_run_models_gpu/model_results.json with huggingface_hub

2025-12-17/runs/25629-20300023387/ci_results_run_models_gpu/model_results.json

@@ -0,0 +1,1411 @@
+{
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+            "single": [
+                {
+                    "line": "tests/models/clip/test_modeling_clip.py::CLIPVisionModelTest::test_batching_equivalence",
+                    "trace": "(line 1110)  AssertionError: Batched and Single row outputs are not equal in CLIPVisionModel for key=last_hidden_state."
+                },
+                {
+                    "line": "tests/models/clip/test_modeling_clip.py::CLIPModelTest::test_batching_equivalence",
+                    "trace": "(line 1110)  AssertionError: Batched and Single row outputs are not equal in CLIPModel for key=logits_per_image."
+                },
+                {
+                    "line": "tests/models/clip/test_modeling_clip.py::CLIPForImageClassificationModelTest::test_batching_equivalence",
+                    "trace": "(line 1110)  AssertionError: Batched and Single row outputs are not equal in CLIPForImageClassification for key=hidden_states."
+                }
+            ],
+            "multi": [
+                {
+                    "line": "tests/models/clip/test_modeling_clip.py::CLIPVisionModelTest::test_batching_equivalence",
+                    "trace": "(line 1110)  AssertionError: Batched and Single row outputs are not equal in CLIPVisionModel for key=last_hidden_state."
+                },
+                {
+                    "line": "tests/models/clip/test_modeling_clip.py::CLIPModelTest::test_batching_equivalence",
+                    "trace": "(line 1110)  AssertionError: Batched and Single row outputs are not equal in CLIPModel for key=logits_per_image."
+                },
+                {
+                    "line": "tests/models/clip/test_modeling_clip.py::CLIPForImageClassificationModelTest::test_batching_equivalence",
+                    "trace": "(line 1110)  AssertionError: Batched and Single row outputs are not equal in CLIPForImageClassification for key=logits."
+                }
+            ]
+        },
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+                    "line": "tests/models/csm/test_modeling_csm.py::CsmForConditionalGenerationIntegrationTest::test_1b_model_integration_generate",
+                    "trace": "(line 381)  AssertionError: The values for attribute 'shape' do not match: torch.Size([1, 23, 32]) != torch.Size([1, 20, 32])."
+                },
+                {
+                    "line": "tests/models/csm/test_modeling_csm.py::CsmForConditionalGenerationIntegrationTest::test_1b_model_integration_generate_batched",
+                    "trace": "(line 599)  AssertionError: The values for attribute 'shape' do not match: torch.Size([2, 22, 32]) != torch.Size([2, 21, 32])."
+                },
+                {
+                    "line": "tests/models/csm/test_modeling_csm.py::CsmForConditionalGenerationIntegrationTest::test_1b_model_integration_generate_multiple_audio",
+                    "trace": "(line 501)  AssertionError: The values for attribute 'shape' do not match: torch.Size([1, 24, 32]) != torch.Size([1, 19, 32])."
+                }
+            ],
+            "multi": [
+                {
+                    "line": "tests/models/csm/test_modeling_csm.py::CsmForConditionalGenerationIntegrationTest::test_1b_model_integration_generate",
+                    "trace": "(line 381)  AssertionError: The values for attribute 'shape' do not match: torch.Size([1, 23, 32]) != torch.Size([1, 20, 32])."
+                },
+                {
+                    "line": "tests/models/csm/test_modeling_csm.py::CsmForConditionalGenerationIntegrationTest::test_1b_model_integration_generate_batched",
+                    "trace": "(line 599)  AssertionError: The values for attribute 'shape' do not match: torch.Size([2, 22, 32]) != torch.Size([2, 21, 32])."
+                },
+                {
+                    "line": "tests/models/csm/test_modeling_csm.py::CsmForConditionalGenerationIntegrationTest::test_1b_model_integration_generate_multiple_audio",
+                    "trace": "(line 501)  AssertionError: The values for attribute 'shape' do not match: torch.Size([1, 24, 32]) != torch.Size([1, 19, 32])."
+                }
+            ]
+        },
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+            "Unclassified": {
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+            77.0
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/detr/test_modeling_detr.py::DetrModelIntegrationTestsTimmBackbone::test_inference_no_head",
+                    "trace": "(line 575)  AssertionError: Tensor-likes are not close!"
+                },
+                {
+                    "line": "tests/models/detr/test_modeling_detr.py::DetrModelIntegrationTestsTimmBackbone::test_inference_object_detection_head",
+                    "trace": "(line 609)  AssertionError: Tensor-likes are not close!"
+                },
+                {
+                    "line": "tests/models/detr/test_modeling_detr.py::DetrModelIntegrationTestsTimmBackbone::test_inference_panoptic_segmentation_head",
+                    "trace": "(line 667)  AssertionError: Tensor-likes are not close!"
+                },
+                {
+                    "line": "tests/models/detr/test_modeling_detr.py::DetrModelIntegrationTests::test_inference_no_head",
+                    "trace": "(line 642)  OSError: facebook/detr-resnet-50 does not appear to have a file named model.safetensors or model.safetensors.index.json and thus cannot be loaded with `safetensors`. Please do not set `use_safetensors=True`."
+                }
+            ],
+            "single": [
+                {
+                    "line": "tests/models/detr/test_modeling_detr.py::DetrModelIntegrationTestsTimmBackbone::test_inference_no_head",
+                    "trace": "(line 575)  AssertionError: Tensor-likes are not close!"
+                },
+                {
+                    "line": "tests/models/detr/test_modeling_detr.py::DetrModelIntegrationTestsTimmBackbone::test_inference_object_detection_head",
+                    "trace": "(line 609)  AssertionError: Tensor-likes are not close!"
+                },
+                {
+                    "line": "tests/models/detr/test_modeling_detr.py::DetrModelIntegrationTestsTimmBackbone::test_inference_panoptic_segmentation_head",
+                    "trace": "(line 667)  AssertionError: Tensor-likes are not close!"
+                },
+                {
+                    "line": "tests/models/detr/test_modeling_detr.py::DetrModelIntegrationTests::test_inference_no_head",
+                    "trace": "(line 642)  OSError: facebook/detr-resnet-50 does not appear to have a file named model.safetensors or model.safetensors.index.json and thus cannot be loaded with `safetensors`. Please do not set `use_safetensors=True`."
+                }
+            ]
+        },
+        "job_link": {
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+        "time_spent": [
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+            550.22
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+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/gemma3/test_modeling_gemma3.py::Gemma3IntegrationTest::test_model_1b_text_only",
+                    "trace": "(line 675)  AssertionError: Lists differ: ['Wri[28 chars]ning.---The data flows, a silent stream,Into t[57 chars]ce,'] != ['Wri[28 chars]ning.\\n\\n---\\n\\nThe data flows, a silent strea[71 chars],\\n']"
+                },
+                {
+                    "line": "tests/models/gemma3/test_modeling_gemma3.py::Gemma3IntegrationTest::test_model_4b_batch",
+                    "trace": "(line 675)  AssertionError: Lists differ: ['userYou are a helpful assistant.What is shown[325 chars]own\"] != ['user\\nYou are a helpful assistant.\\n\\n\\n\\n\\n\\[384 chars]own\"]"
+                },
+                {
+                    "line": "tests/models/gemma3/test_modeling_gemma3.py::Gemma3IntegrationTest::test_model_4b_batch_crops",
+                    "trace": "(line 675)  AssertionError: Lists differ: [\"userYou are a helpful assistant.Here is the o[573 chars]h a'] != [\"user\\nYou are a helpful assistant.\\n\\nHere is[669 chars]h a']"
+                },
+                {
+                    "line": "tests/models/gemma3/test_modeling_gemma3.py::Gemma3IntegrationTest::test_model_4b_bf16",
+                    "trace": "(line 675)  AssertionError: Lists differ: ['userYou are a helpful assistant.What is shown[151 chars]ike'] != ['user\\nYou are a helpful assistant.\\n\\n\\n\\n\\n\\[173 chars]ike']"
+                },
+                {
+                    "line": "tests/models/gemma3/test_modeling_gemma3.py::Gemma3IntegrationTest::test_model_4b_crops",
+                    "trace": "(line 675)  AssertionError: Lists differ: [\"userYou are a helpful assistant.Here is the o[229 chars]the\"] != [\"user\\nYou are a helpful assistant.\\n\\nHere is[263 chars]the\"]"
+                },
+                {
+                    "line": "tests/models/gemma3/test_modeling_gemma3.py::Gemma3IntegrationTest::test_model_4b_multiimage",
+                    "trace": "(line 675)  AssertionError: Lists differ: [\"userYou are a helpful assistant.What do you s[117 chars]ity\"] != [\"user\\nYou are a helpful assistant.\\n\\n\\n\\n\\n\\[143 chars]ity\"]"
+                }
+            ],
+            "single": [
+                {
+                    "line": "tests/models/gemma3/test_modeling_gemma3.py::Gemma3IntegrationTest::test_model_1b_text_only",
+                    "trace": "(line 675)  AssertionError: Lists differ: ['Wri[28 chars]ning.---The data flows, a silent stream,Into t[57 chars]ce,'] != ['Wri[28 chars]ning.\\n\\n---\\n\\nThe data flows, a silent strea[71 chars],\\n']"
+                },
+                {
+                    "line": "tests/models/gemma3/test_modeling_gemma3.py::Gemma3IntegrationTest::test_model_4b_batch",
+                    "trace": "(line 675)  AssertionError: Lists differ: ['userYou are a helpful assistant.What is shown[325 chars]own\"] != ['user\\nYou are a helpful assistant.\\n\\n\\n\\n\\n\\[384 chars]own\"]"
+                },
+                {
+                    "line": "tests/models/gemma3/test_modeling_gemma3.py::Gemma3IntegrationTest::test_model_4b_batch_crops",
+                    "trace": "(line 675)  AssertionError: Lists differ: [\"userYou are a helpful assistant.Here is the o[573 chars]h a'] != [\"user\\nYou are a helpful assistant.\\n\\nHere is[669 chars]h a']"
+                },
+                {
+                    "line": "tests/models/gemma3/test_modeling_gemma3.py::Gemma3IntegrationTest::test_model_4b_bf16",
+                    "trace": "(line 675)  AssertionError: Lists differ: ['userYou are a helpful assistant.What is shown[151 chars]ike'] != ['user\\nYou are a helpful assistant.\\n\\n\\n\\n\\n\\[173 chars]ike']"
+                },
+                {
+                    "line": "tests/models/gemma3/test_modeling_gemma3.py::Gemma3IntegrationTest::test_model_4b_crops",
+                    "trace": "(line 675)  AssertionError: Lists differ: [\"userYou are a helpful assistant.Here is the o[229 chars]the\"] != [\"user\\nYou are a helpful assistant.\\n\\nHere is[263 chars]the\"]"
+                },
+                {
+                    "line": "tests/models/gemma3/test_modeling_gemma3.py::Gemma3IntegrationTest::test_model_4b_multiimage",
+                    "trace": "(line 675)  AssertionError: Lists differ: [\"userYou are a helpful assistant.What do you s[117 chars]ity\"] != [\"user\\nYou are a helpful assistant.\\n\\n\\n\\n\\n\\[143 chars]ity\"]"
+                }
+            ]
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+                "single": 6,
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+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_generation_beyond_sliding_window_with_generation_config",
+                    "trace": "(line 675)  AssertionError: Lists differ: [\" and I think it's a nice place to visit.[99 chars]re'\"] != [' and I am glad to be here. This is a nic[102 chars]are']"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_model_4b_batch",
+                    "trace": "(line 28)  RuntimeError: Input type (float) and bias type (c10::BFloat16) should be the same"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_model_4b_bf16",
+                    "trace": "(line 28)  RuntimeError: Input type (float) and bias type (c10::BFloat16) should be the same"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_model_4b_image",
+                    "trace": "(line 28)  RuntimeError: Input type (float) and bias type (c10::BFloat16) should be the same"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_model_4b_multiimage",
+                    "trace": "(line 28)  RuntimeError: Input type (float) and bias type (c10::BFloat16) should be the same"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_model_with_audio",
+                    "trace": "(line 675)  AssertionError: Lists differ: ['Chapter 1. Mrs. Rachel Lind is surprised.Mrs. Rachel Lind'] != ['Chapter 1. Mrs. Rachel Lind is surprised.\\n\\nMrs. Rachel Lind']"
+                }
+            ],
+            "multi": [
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_generation_beyond_sliding_window_with_generation_config",
+                    "trace": "(line 675)  AssertionError: Lists differ: [\" and I think it's a nice place to visit.[99 chars]re'\"] != [' and I am glad to be here. This is a nic[102 chars]are']"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_model_4b_batch",
+                    "trace": "(line 28)  RuntimeError: Input type (float) and bias type (c10::BFloat16) should be the same"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_model_4b_bf16",
+                    "trace": "(line 28)  RuntimeError: Input type (float) and bias type (c10::BFloat16) should be the same"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_model_4b_image",
+                    "trace": "(line 28)  RuntimeError: Input type (float) and bias type (c10::BFloat16) should be the same"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_model_4b_multiimage",
+                    "trace": "(line 28)  RuntimeError: Input type (float) and bias type (c10::BFloat16) should be the same"
+                },
+                {
+                    "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_model_with_audio",
+                    "trace": "(line 675)  AssertionError: Lists differ: ['Chapter 1. Mrs. Rachel Lind is surprised.Mrs. Rachel Lind'] != ['Chapter 1. Mrs. Rachel Lind is surprised.\\n\\nMrs. Rachel Lind']"
+                }
+            ]
+        },
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+            "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": 271,
+        "skipped": 319,
+        "time_spent": [
+            215.01,
+            213.59
+        ],
+        "error": false,
+        "failures": {
+            "single": [
+                {
+                    "line": "tests/models/got_ocr2/test_modeling_got_ocr2.py::GotOcr2IntegrationTest::test_small_model_integration_test_got_ocr_format",
+                    "trace": "(line 211)  AssertionError: 'R\\\\&D' != '\\\\title{\\nR'"
+                }
+            ],
+            "multi": [
+                {
+                    "line": "tests/models/got_ocr2/test_modeling_got_ocr2.py::GotOcr2IntegrationTest::test_small_model_integration_test_got_ocr_format",
+                    "trace": "(line 211)  AssertionError: 'R\\\\&D' != '\\\\title{\\nR'"
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/20300023387/job/58303633303",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20300023387/job/58303633176"
+        },
+        "captured_info": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/20300023387/job/58303633303#step:16:1",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20300023387/job/58303633176#step:16:1"
+        }
+    },
+    "models_llava": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 10,
+                "multi": 10
+            },
+            "Tokenizers": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Pipelines": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
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+                "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": {
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+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 347,
+        "skipped": 253,
+        "time_spent": [
+            308.92,
+            378.51
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_batched_generation",
+                    "trace": "(line 562)  AssertionError: Lists differ: [\"\\n\\nUSER: What's the difference of two imag[339 chars]ama'] != [\"\\n \\nUSER: What's the difference of two ima[362 chars]the']"
+                },
+                {
+                    "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_pixtral",
+                    "trace": "(line 543)  RuntimeError: Input type (torch.FloatTensor) and weight type (CPUBFloat16Type) should be the same or input should be a MKLDNN tensor and weight is a dense tensor"
+                },
+                {
+                    "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_pixtral_4bit",
+                    "trace": "(line 543)  RuntimeError: Input type (torch.cuda.HalfTensor) and weight type (CUDABFloat16Type) should be the same"
+                },
+                {
+                    "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_pixtral_batched",
+                    "trace": "(line 543)  RuntimeError: Input type (torch.cuda.HalfTensor) and weight type (CUDABFloat16Type) should be the same"
+                },
+                {
+                    "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_small_model_integration_test",
+                    "trace": "(line 134)  RuntimeError: expected mat1 and mat2 to have the same dtype, but got: c10::BFloat16 != float"
+                },
+                {
+                    "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_small_model_integration_test_batch",
+                    "trace": "(line 134)  RuntimeError: expected mat1 and mat2 to have the same dtype, but got: c10::BFloat16 != float"
+                },
+                {
+                    "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_small_model_integration_test_llama_batched",
+                    "trace": "(line 404)  AssertionError: Lists differ: ['USER: \\nWhat are the things I should be cautiou[269 chars] on'] != ['USER:  \\nWhat are the things I should be cautio[271 chars] on']"
+                },
+                {
+                    "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_small_model_integration_test_llama_batched_regression",
+                    "trace": "(line 507)  AssertionError: Lists differ: ['USER: \\nWhat are the things I should be cautiou[280 chars]ed.'] != ['USER:  \\nWhat are the things I should be cautio[283 chars]ed.']"
+                },
+                {
+                    "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_small_model_integration_test_llama_single",
+                    "trace": "(line 353)  AssertionError: 'USER: \\nWhat are the things I should be cautiou[748 chars]ies.' != 'USER:  \\nWhat are the things I should be cautio[749 chars]ies.'"
+                },
+                {
+                    "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_tokenizer_integration",
+                    "trace": "(line 579)  AssertionError: Lists differ: ['<|im_start|>', '▁system', '\\n', '▁Answer', '▁the', '▁ques[176 chars]'\\n'] != ['<|im_start|>', 'system', '\\n', 'Answer', '▁the', '▁questi[175 chars]'\\n']"
+                }
+            ],
+            "single": [
+                {
+                    "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_batched_generation",
+                    "trace": "(line 562)  AssertionError: Lists differ: [\"\\n\\nUSER: What's the difference of two imag[339 chars]ama'] != [\"\\n \\nUSER: What's the difference of two ima[362 chars]the']"
+                },
+                {
+                    "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_pixtral",
+                    "trace": "(line 543)  RuntimeError: Input type (torch.FloatTensor) and weight type (CPUBFloat16Type) should be the same or input should be a MKLDNN tensor and weight is a dense tensor"
+                },
+                {
+                    "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_pixtral_4bit",
+                    "trace": "(line 543)  RuntimeError: Input type (torch.cuda.HalfTensor) and weight type (CUDABFloat16Type) should be the same"
+                },
+                {
+                    "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_pixtral_batched",
+                    "trace": "(line 543)  RuntimeError: Input type (torch.cuda.HalfTensor) and weight type (CUDABFloat16Type) should be the same"
+                },
+                {
+                    "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_small_model_integration_test",
+                    "trace": "(line 134)  RuntimeError: expected mat1 and mat2 to have the same dtype, but got: c10::BFloat16 != float"
+                },
+                {
+                    "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_small_model_integration_test_batch",
+                    "trace": "(line 134)  RuntimeError: expected mat1 and mat2 to have the same dtype, but got: c10::BFloat16 != float"
+                },
+                {
+                    "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_small_model_integration_test_llama_batched",
+                    "trace": "(line 404)  AssertionError: Lists differ: ['USER: \\nWhat are the things I should be cautiou[269 chars] on'] != ['USER:  \\nWhat are the things I should be cautio[271 chars] on']"
+                },
+                {
+                    "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_small_model_integration_test_llama_batched_regression",
+                    "trace": "(line 507)  AssertionError: Lists differ: ['USER: \\nWhat are the things I should be cautiou[280 chars]ed.'] != ['USER:  \\nWhat are the things I should be cautio[283 chars]ed.']"
+                },
+                {
+                    "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_small_model_integration_test_llama_single",
+                    "trace": "(line 353)  AssertionError: 'USER: \\nWhat are the things I should be cautiou[748 chars]ies.' != 'USER:  \\nWhat are the things I should be cautio[749 chars]ies.'"
+                },
+                {
+                    "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_tokenizer_integration",
+                    "trace": "(line 579)  AssertionError: Lists differ: ['<|im_start|>', '▁system', '\\n', '▁Answer', '▁the', '▁ques[176 chars]'\\n'] != ['<|im_start|>', 'system', '\\n', 'Answer', '▁the', '▁questi[175 chars]'\\n']"
+                }
+            ]
+        },
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20300023387/job/58303633202",
+            "single": "https://github.com/huggingface/transformers/actions/runs/20300023387/job/58303633358"
+        },
+        "captured_info": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20300023387/job/58303633202#step:16:1",
+            "single": "https://github.com/huggingface/transformers/actions/runs/20300023387/job/58303633358#step:16:1"
+        }
+    },
+    "models_qwen2_5_omni": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 3,
+                "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": 292,
+        "skipped": 237,
+        "time_spent": [
+            236.14,
+            257.35
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniThinkerForConditionalGenerationModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 769)  StopIteration: Caught StopIteration in replica 1 on device 1."
+                },
+                {
+                    "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test",
+                    "trace": "(line 692)  AssertionError: \"syst[108 chars]d is a glass shattering. The dog in the pictur[22 chars]ver.\" != \"syst[108 chars]d is glass shattering, and the dog is a Labrador Retriever.\""
+                },
+                {
+                    "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test_batch",
+                    "trace": "(line 734)  AssertionError: Lists differ: [\"sys[109 chars]d is a glass shattering. The dog in the pictur[211 chars]er.\"] != [\"sys[109 chars]d is glass shattering, and the dog is a Labrad[185 chars]er.\"]"
+                },
+                {
+                    "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test_w_audio",
+                    "trace": "(line 2391)  AttributeError: 'NoneType' object has no attribute 'shape'"
+                }
+            ],
+            "single": [
+                {
+                    "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test",
+                    "trace": "(line 692)  AssertionError: \"syst[108 chars]d is a glass shattering. The dog in the pictur[22 chars]ver.\" != \"syst[108 chars]d is glass shattering, and the dog is a Labrador Retriever.\""
+                },
+                {
+                    "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test_batch",
+                    "trace": "(line 734)  AssertionError: Lists differ: [\"sys[109 chars]d is a glass shattering. The dog in the pictur[211 chars]er.\"] != [\"sys[109 chars]d is glass shattering, and the dog is a Labrad[185 chars]er.\"]"
+                },
+                {
+                    "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test_w_audio",
+                    "trace": "(line 2391)  AttributeError: 'NoneType' object has no attribute 'shape'"
+                }
+            ]
+        },
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20300023387/job/58303633204",
+            "single": "https://github.com/huggingface/transformers/actions/runs/20300023387/job/58303633293"
+        },
+        "captured_info": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20300023387/job/58303633204#step:16:1",
+            "single": "https://github.com/huggingface/transformers/actions/runs/20300023387/job/58303633293#step:16:1"
+        }
+    },
+    "models_qwen2_5_vl": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 2,
+                "multi": 2
+            },
+            "Tokenizers": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Pipelines": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "ONNX": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Auto": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 313,
+        "skipped": 117,
+        "time_spent": [
+            288.96,
+            282.57
+        ],
+        "error": false,
+        "failures": {
+            "single": [
+                {
+                    "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 587)  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_with_video",
+                    "trace": "(line 711)  AssertionError: Lists differ: ['sys[124 chars]h a player standing on the baseline, preparing[61 chars]ts,'] != ['sys[124 chars]h a person standing on one side, preparing to [68 chars]ing']"
+                }
+            ],
+            "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 587)  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_with_video",
+                    "trace": "(line 711)  AssertionError: Lists differ: ['sys[124 chars]h a player standing on the baseline, preparing[61 chars]ts,'] != ['sys[124 chars]h a person standing on one side, preparing to [68 chars]ing']"
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/20300023387/job/58303633316",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20300023387/job/58303633237"
+        },
+        "captured_info": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/20300023387/job/58303633316#step:16:1",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20300023387/job/58303633237#step:16:1"
+        }
+    },
+    "models_qwen2_audio": {
+        "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": 258,
+        "skipped": 277,
+        "time_spent": [
+            189.2,
+            194.85
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/qwen2_audio/test_modeling_qwen2_audio.py::Qwen2AudioForConditionalGenerationModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 769)  StopIteration: Caught StopIteration in replica 1 on device 1."
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/20300023387/job/58303633283",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20300023387/job/58303633188"
+        },
+        "captured_info": {}
+    },
+    "models_smolvlm": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 1,
+                "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": 527,
+        "skipped": 319,
+        "time_spent": [
+            150.57,
+            153.01
+        ],
+        "error": false,
+        "failures": {
+            "single": [
+                {
+                    "line": "tests/models/smolvlm/test_modeling_smolvlm.py::SmolVLMForConditionalGenerationIntegrationTest::test_integration_test_video",
+                    "trace": "(line 594)  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'"
+                }
+            ],
+            "multi": [
+                {
+                    "line": "tests/models/smolvlm/test_modeling_smolvlm.py::SmolVLMModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 769)  StopIteration: Caught StopIteration in replica 1 on device 1."
+                },
+                {
+                    "line": "tests/models/smolvlm/test_modeling_smolvlm.py::SmolVLMForConditionalGenerationModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 769)  StopIteration: Caught StopIteration in replica 1 on device 1."
+                },
+                {
+                    "line": "tests/models/smolvlm/test_modeling_smolvlm.py::SmolVLMForConditionalGenerationIntegrationTest::test_integration_test_video",
+                    "trace": "(line 594)  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/20300023387/job/58303633308",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20300023387/job/58303633403"
+        },
+        "captured_info": {
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+            "multi": "https://github.com/huggingface/transformers/actions/runs/20300023387/job/58303633345",
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+                    "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_distil_token_timestamp_generation",
+                    "trace": "(line 366)  RuntimeError: Input type (float) and bias type (c10::Half) should be the same"
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+                {
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+                    "trace": "(line 366)  RuntimeError: Input type (float) and bias type (c10::Half) should be the same"
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+                    "trace": "(line 366)  RuntimeError: Input type (float) and bias type (c10::Half) should be the same"
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+                {
+                    "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_large_timestamp_generation",
+                    "trace": "(line 366)  RuntimeError: Input type (float) and bias type (c10::Half) should be the same"
+                },
+                {
+                    "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_small_longform_timestamps_generation",
+                    "trace": "(line 1893)  KeyError: 0"
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+                {
+                    "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_tiny_longform_timestamps_generation",
+                    "trace": "(line 1709)  KeyError: 0"
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+                {
+                    "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_tiny_timestamp_generation",
+                    "trace": "(line 4064)  IndexError: list index out of range"
+                },
+                {
+                    "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_whisper_longform_multi_batch_hard",
+                    "trace": "(line 2798)  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_longform_single_batch",
+                    "trace": "(line 297)  TypeError: '>=' not supported between instances of 'list' and 'int'"
+                },
+                {
+                    "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_whisper_shortform_single_batch_prev_cond",
+                    "trace": "(line 2567)  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.\"]"
+                }
+            ],
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+                    "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_distil_token_timestamp_generation",
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+                },
+                {
+                    "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_large_batched_generation",
+                    "trace": "(line 366)  RuntimeError: Input type (float) and bias type (c10::Half) should be the same"
+                },
+                {
+                    "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_large_generation",
+                    "trace": "(line 366)  RuntimeError: Input type (float) and bias type (c10::Half) should be the same"
+                },
+                {
+                    "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_large_generation_multilingual",
+                    "trace": "(line 366)  RuntimeError: Input type (float) and bias type (c10::Half) should be the same"
+                },
+                {
+                    "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_large_timestamp_generation",
+                    "trace": "(line 366)  RuntimeError: Input type (float) and bias type (c10::Half) should be the same"
+                },
+                {
+                    "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_small_longform_timestamps_generation",
+                    "trace": "(line 1893)  KeyError: 0"
+                },
+                {
+                    "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_tiny_longform_timestamps_generation",
+                    "trace": "(line 1709)  KeyError: 0"
+                },
+                {
+                    "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_tiny_timestamp_generation",
+                    "trace": "(line 4064)  IndexError: list index out of range"
+                },
+                {
+                    "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_whisper_longform_multi_batch_hard",
+                    "trace": "(line 2798)  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_longform_single_batch",
+                    "trace": "(line 297)  TypeError: '>=' not supported between instances of 'list' and 'int'"
+                },
+                {
+                    "line": "tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_whisper_shortform_single_batch_prev_cond",
+                    "trace": "(line 2567)  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.\"]"
+                }
+            ]
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+}