Upload 2025-12-12/runs/25375-20181774705/ci_results_run_models_gpu/model_results.json with huggingface_hub

2025-12-12/runs/25375-20181774705/ci_results_run_models_gpu/model_results.json

@@ -0,0 +1,1272 @@
+{
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+        },
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+                "single": 4,
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+            174.75
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+                    "trace": "(line 371)  AssertionError: 'my n[55 chars]higan. i am a senior majoring in computer scie[101 chars]er s' != 'my n[55 chars]higan in the college of arts and sciences. i a[101 chars]an m'"
+                },
+                {
+                    "line": "tests/models/blt/test_modeling_blt.py::BltIntegrationTest::test_model_bf16_static_cache",
+                    "trace": "(line 506)  AssertionError: 'my n[55 chars]higan. i am a senior majoring in computer scie[101 chars]er s' != 'my n[55 chars]higan in the college of arts and sciences. i a[101 chars]an m'"
+                },
+                {
+                    "line": "tests/models/blt/test_modeling_blt.py::BltIntegrationTest::test_model_logits",
+                    "trace": "(line 346)  AssertionError: Tensor-likes are not close!"
+                },
+                {
+                    "line": "tests/models/blt/test_modeling_blt.py::BltIntegrationTest::test_model_logits_bf16",
+                    "trace": "(line 457)  AssertionError: Tensor-likes are not close!"
+                }
+            ],
+            "multi": [
+                {
+                    "line": "tests/models/blt/test_modeling_blt.py::BltIntegrationTest::test_model_bf16",
+                    "trace": "(line 371)  AssertionError: 'my n[55 chars]higan. i am a senior majoring in computer scie[101 chars]er s' != 'my n[55 chars]higan in the college of arts and sciences. i a[101 chars]an m'"
+                },
+                {
+                    "line": "tests/models/blt/test_modeling_blt.py::BltIntegrationTest::test_model_bf16_static_cache",
+                    "trace": "(line 506)  AssertionError: 'my n[55 chars]higan. i am a senior majoring in computer scie[101 chars]er s' != 'my n[55 chars]higan in the college of arts and sciences. i a[101 chars]an m'"
+                },
+                {
+                    "line": "tests/models/blt/test_modeling_blt.py::BltIntegrationTest::test_model_logits",
+                    "trace": "(line 2542)  RuntimeError: Expected all tensors to be on the same device, but got index is on cuda:0, different from other tensors on cuda:1 (when checking argument in method wrapper_CUDA__index_select)"
+                },
+                {
+                    "line": "tests/models/blt/test_modeling_blt.py::BltIntegrationTest::test_model_logits_bf16",
+                    "trace": "(line 2542)  RuntimeError: Expected all tensors to be on the same device, but got index is on cuda:0, different from other tensors on cuda:1 (when checking argument in method wrapper_CUDA__index_select)"
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/20181774705/job/57944045271",
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+            "multi": "https://github.com/huggingface/transformers/actions/runs/20181774705/job/57944045324#step:16:1"
+        }
+    },
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+                "single": 1,
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+                "single": 0,
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+            "Unclassified": {
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+                "single": 0,
+                "multi": 0
+            }
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+        "success": 563,
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+        "time_spent": [
+            281.13,
+            265.96
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/data2vec/test_modeling_data2vec_vision.py::Data2VecVisionModelTest::test_batching_equivalence",
+                    "trace": "(line 1110)  AssertionError: Batched and Single row outputs are not equal in Data2VecVisionModel for key=last_hidden_state."
+                },
+                {
+                    "line": "tests/models/data2vec/test_modeling_data2vec_vision.py::Data2VecVisionModelTest::test_model_parallelism",
+                    "trace": "(line 1044)  RuntimeError: Expected all tensors to be on the same device, but got tensors is on cuda:0, different from other tensors on cuda:1 (when checking argument in method wrapper_CUDA_cat)"
+                }
+            ],
+            "single": [
+                {
+                    "line": "tests/models/data2vec/test_modeling_data2vec_vision.py::Data2VecVisionModelTest::test_batching_equivalence",
+                    "trace": "(line 1110)  AssertionError: Batched and Single row outputs are not equal in Data2VecVisionModel for key=last_hidden_state."
+                }
+            ]
+        },
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20181774705/job/57944045272",
+            "single": "https://github.com/huggingface/transformers/actions/runs/20181774705/job/57944045285"
+        },
+        "captured_info": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20181774705/job/57944045272#step:16:1",
+            "single": "https://github.com/huggingface/transformers/actions/runs/20181774705/job/57944045285#step:16:1"
+        }
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+            "single": "https://github.com/huggingface/transformers/actions/runs/20181774705/job/57944045282"
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+            "PyTorch": {
+                "unclassified": 0,
+                "single": 2,
+                "multi": 1
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+            "Tokenizers": {
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+                "single": 0,
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+                "single": 0,
+                "multi": 0
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+            "Trainer": {
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+                "single": 0,
+                "multi": 0
+            },
+            "ONNX": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
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+            "Auto": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
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+        "success": 230,
+        "skipped": 209,
+        "time_spent": [
+            153.76,
+            152.03
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/electra/test_modeling_electra.py::ElectraModelTest::test_sdpa_padding_matches_padding_free_with_position_ids",
+                    "trace": "(line 2082)  AssertionError: Tensor-likes are not close!"
+                }
+            ],
+            "single": [
+                {
+                    "line": "tests/models/electra/test_modeling_electra.py::ElectraModelTest::test_eager_padding_matches_padding_free_with_position_ids",
+                    "trace": "(line 2082)  AssertionError: Tensor-likes are not close!"
+                },
+                {
+                    "line": "tests/models/electra/test_modeling_electra.py::ElectraModelTest::test_sdpa_padding_matches_padding_free_with_position_ids",
+                    "trace": "(line 2082)  AssertionError: Tensor-likes are not close!"
+                }
+            ]
+        },
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20181774705/job/57944045278",
+            "single": "https://github.com/huggingface/transformers/actions/runs/20181774705/job/57944045312"
+        },
+        "captured_info": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20181774705/job/57944045278#step:16:1",
+            "single": "https://github.com/huggingface/transformers/actions/runs/20181774705/job/57944045312#step:16:1"
+        }
+    },
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+                "single": 0,
+                "multi": 0
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+                "single": 0,
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+            148.48
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+            "single": "https://github.com/huggingface/transformers/actions/runs/20181774705/job/57944045303"
+        },
+        "captured_info": {}
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+                "unclassified": 0,
+                "single": 6,
+                "multi": 6
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+            "Tokenizers": {
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+            "Pipelines": {
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+                "single": 0,
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+            "ONNX": {
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+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
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+        "success": 332,
+        "skipped": 114,
+        "time_spent": [
+            973.96,
+            984.16
+        ],
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+        "failures": {
+            "single": [
+                {
+                    "line": "tests/models/glm46v/test_modeling_glm46v.py::Glm46VIntegrationTest::test_small_model_integration_test",
+                    "trace": "(line 2542)  RuntimeError: Expected tensor for argument #1 'indices' to have one of the following scalar types: Long, Int; but got CUDABFloat16Type instead (while checking arguments for embedding)"
+                },
+                {
+                    "line": "tests/models/glm46v/test_modeling_glm46v.py::Glm46VIntegrationTest::test_small_model_integration_test_batch",
+                    "trace": "(line 2542)  RuntimeError: Expected tensor for argument #1 'indices' to have one of the following scalar types: Long, Int; but got CUDABFloat16Type instead (while checking arguments for embedding)"
+                },
+                {
+                    "line": "tests/models/glm46v/test_modeling_glm46v.py::Glm46VIntegrationTest::test_small_model_integration_test_batch_different_resolutions",
+                    "trace": "(line 2542)  RuntimeError: Expected tensor for argument #1 'indices' to have one of the following scalar types: Long, Int; but got CUDABFloat16Type instead (while checking arguments for embedding)"
+                },
+                {
+                    "line": "tests/models/glm46v/test_modeling_glm46v.py::Glm46VIntegrationTest::test_small_model_integration_test_batch_wo_image",
+                    "trace": "(line 2542)  RuntimeError: Expected tensor for argument #1 'indices' to have one of the following scalar types: Long, Int; but got CUDABFloat16Type instead (while checking arguments for embedding)"
+                },
+                {
+                    "line": "tests/models/glm46v/test_modeling_glm46v.py::Glm46VIntegrationTest::test_small_model_integration_test_expand",
+                    "trace": "(line 2542)  RuntimeError: Expected tensor for argument #1 'indices' to have one of the following scalar types: Long, Int; but got CUDABFloat16Type instead (while checking arguments for embedding)"
+                },
+                {
+                    "line": "tests/models/glm46v/test_modeling_glm46v.py::Glm46VIntegrationTest::test_small_model_integration_test_with_video",
+                    "trace": "(line 2542)  RuntimeError: Expected tensor for argument #1 'indices' to have one of the following scalar types: Long, Int; but got torch.cuda.HalfTensor instead (while checking arguments for embedding)"
+                }
+            ],
+            "multi": [
+                {
+                    "line": "tests/models/glm46v/test_modeling_glm46v.py::Glm46VIntegrationTest::test_small_model_integration_test",
+                    "trace": "(line 2542)  RuntimeError: Expected tensor for argument #1 'indices' to have one of the following scalar types: Long, Int; but got CUDABFloat16Type instead (while checking arguments for embedding)"
+                },
+                {
+                    "line": "tests/models/glm46v/test_modeling_glm46v.py::Glm46VIntegrationTest::test_small_model_integration_test_batch",
+                    "trace": "(line 2542)  RuntimeError: Expected tensor for argument #1 'indices' to have one of the following scalar types: Long, Int; but got CUDABFloat16Type instead (while checking arguments for embedding)"
+                },
+                {
+                    "line": "tests/models/glm46v/test_modeling_glm46v.py::Glm46VIntegrationTest::test_small_model_integration_test_batch_different_resolutions",
+                    "trace": "(line 2542)  RuntimeError: Expected tensor for argument #1 'indices' to have one of the following scalar types: Long, Int; but got CUDABFloat16Type instead (while checking arguments for embedding)"
+                },
+                {
+                    "line": "tests/models/glm46v/test_modeling_glm46v.py::Glm46VIntegrationTest::test_small_model_integration_test_batch_wo_image",
+                    "trace": "(line 2542)  RuntimeError: Expected tensor for argument #1 'indices' to have one of the following scalar types: Long, Int; but got CUDABFloat16Type instead (while checking arguments for embedding)"
+                },
+                {
+                    "line": "tests/models/glm46v/test_modeling_glm46v.py::Glm46VIntegrationTest::test_small_model_integration_test_expand",
+                    "trace": "(line 2542)  RuntimeError: Expected tensor for argument #1 'indices' to have one of the following scalar types: Long, Int; but got CUDABFloat16Type instead (while checking arguments for embedding)"
+                },
+                {
+                    "line": "tests/models/glm46v/test_modeling_glm46v.py::Glm46VIntegrationTest::test_small_model_integration_test_with_video",
+                    "trace": "(line 2542)  RuntimeError: Expected tensor for argument #1 'indices' to have one of the following scalar types: Long, Int; but got torch.cuda.HalfTensor instead (while checking arguments for embedding)"
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/20181774705/job/57944045306",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20181774705/job/57944045311"
+        },
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+                "single": 6,
+                "multi": 6
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+                {
+                    "line": "tests/models/glm4v/test_modeling_glm4v.py::Glm4vIntegrationTest::test_small_model_integration_test",
+                    "trace": "(line 432)  AssertionError: \"\\nWh[20 chars]is?\\nGot it, let's look at the image. The anim[72 chars]ally\" != \"\\nWh[20 chars]is?\\n<think>Got it, let's look at the image. T[79 chars]ally\""
+                },
+                {
+                    "line": "tests/models/glm4v/test_modeling_glm4v.py::Glm4vIntegrationTest::test_small_model_integration_test_batch",
+                    "trace": "(line 457)  AssertionError: Lists differ: [\"\\nW[21 chars]is?\\nGot it, let's look at the image. The anim[196 chars]t's\"] != [\"\\nW[21 chars]is?\\n<think>Got it, let's look at the image. T[226 chars]t's\"]"
+                },
+                {
+                    "line": "tests/models/glm4v/test_modeling_glm4v.py::Glm4vIntegrationTest::test_small_model_integration_test_batch_different_resolutions",
+                    "trace": "(line 591)  AssertionError: Lists differ: [\"\\nW[21 chars]is?\\nGot it, let's look at the image. The anim[198 chars]but\"] != [\"\\nW[21 chars]is?\\n<think>Got it, let's look at the image. T[228 chars]but\"]"
+                },
+                {
+                    "line": "tests/models/glm4v/test_modeling_glm4v.py::Glm4vIntegrationTest::test_small_model_integration_test_batch_wo_image",
+                    "trace": "(line 561)  AssertionError: Lists differ: [\"\\nW[21 chars]is?\\nGot it, let's look at the image. The anim[207 chars]ion'] != [\"\\nW[21 chars]is?\\n<think>Got it, let's look at the image. T[237 chars]ion']"
+                },
+                {
+                    "line": "tests/models/glm4v/test_modeling_glm4v.py::Glm4vIntegrationTest::test_small_model_integration_test_expand",
+                    "trace": "(line 531)  AssertionError: Lists differ: [\"\\nW[21 chars]is?\\nGot it, let's look at the image. The anim[223 chars]lly\"] != [\"\\nW[21 chars]is?\\n<think>Got it, let's look at the image. T[237 chars]lly\"]"
+                },
+                {
+                    "line": "tests/models/glm4v/test_modeling_glm4v.py::Glm4vIntegrationTest::test_small_model_integration_test_with_video",
+                    "trace": "(line 495)  AssertionError: Lists differ: [\"\\n0[22 chars]eo.\\nGot it, let's analyze the video. First, t[76 chars]irt\"] != [\"\\n0[22 chars]eo.\\n<think>Got it, let's analyze the video. F[83 chars]irt\"]"
+                }
+            ],
+            "multi": [
+                {
+                    "line": "tests/models/glm4v/test_modeling_glm4v.py::Glm4vIntegrationTest::test_small_model_integration_test",
+                    "trace": "(line 432)  AssertionError: \"\\nWh[20 chars]is?\\nGot it, let's look at the image. The anim[72 chars]ally\" != \"\\nWh[20 chars]is?\\n<think>Got it, let's look at the image. T[79 chars]ally\""
+                },
+                {
+                    "line": "tests/models/glm4v/test_modeling_glm4v.py::Glm4vIntegrationTest::test_small_model_integration_test_batch",
+                    "trace": "(line 457)  AssertionError: Lists differ: [\"\\nW[21 chars]is?\\nGot it, let's look at the image. The anim[196 chars]t's\"] != [\"\\nW[21 chars]is?\\n<think>Got it, let's look at the image. T[226 chars]t's\"]"
+                },
+                {
+                    "line": "tests/models/glm4v/test_modeling_glm4v.py::Glm4vIntegrationTest::test_small_model_integration_test_batch_different_resolutions",
+                    "trace": "(line 591)  AssertionError: Lists differ: [\"\\nW[21 chars]is?\\nGot it, let's look at the image. The anim[198 chars]but\"] != [\"\\nW[21 chars]is?\\n<think>Got it, let's look at the image. T[228 chars]but\"]"
+                },
+                {
+                    "line": "tests/models/glm4v/test_modeling_glm4v.py::Glm4vIntegrationTest::test_small_model_integration_test_batch_wo_image",
+                    "trace": "(line 561)  AssertionError: Lists differ: [\"\\nW[21 chars]is?\\nGot it, let's look at the image. The anim[207 chars]ion'] != [\"\\nW[21 chars]is?\\n<think>Got it, let's look at the image. T[237 chars]ion']"
+                },
+                {
+                    "line": "tests/models/glm4v/test_modeling_glm4v.py::Glm4vIntegrationTest::test_small_model_integration_test_expand",
+                    "trace": "(line 531)  AssertionError: Lists differ: [\"\\nW[21 chars]is?\\nGot it, let's look at the image. The anim[223 chars]lly\"] != [\"\\nW[21 chars]is?\\n<think>Got it, let's look at the image. T[237 chars]lly\"]"
+                },
+                {
+                    "line": "tests/models/glm4v/test_modeling_glm4v.py::Glm4vIntegrationTest::test_small_model_integration_test_with_video",
+                    "trace": "(line 495)  AssertionError: Lists differ: [\"\\n0[22 chars]eo.\\nGot it, let's analyze the video. First, t[76 chars]irt\"] != [\"\\n0[22 chars]eo.\\n<think>Got it, let's analyze the video. F[83 chars]irt\"]"
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/20181774705/job/57944045291",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20181774705/job/57944045239"
+        },
+        "captured_info": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/20181774705/job/57944045291#step:16:1",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20181774705/job/57944045239#step:16:1"
+        }
+    },
+    "models_glm4v_moe": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 5,
+                "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": 220,
+        "skipped": 82,
+        "time_spent": [
+            2366.41,
+            714.39
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/glm4v_moe/test_modeling_glm4v_moe.py::Glm4vMoeModelTest::test_disk_offload_bin",
+                    "trace": "(line 712)  RuntimeError: weight should have at least three dimensions"
+                },
+                {
+                    "line": "tests/models/glm4v_moe/test_modeling_glm4v_moe.py::Glm4vMoeModelTest::test_disk_offload_safetensors",
+                    "trace": "(line 712)  RuntimeError: weight should have at least three dimensions"
+                },
+                {
+                    "line": "tests/models/glm4v_moe/test_modeling_glm4v_moe.py::Glm4vMoeModelTest::test_flex_attention_with_grads",
+                    "trace": "(line 1030)  RuntimeError: split_with_sizes expects split_sizes to sum exactly to 8 (input tensor's size at dimension -1), but got split_sizes=[4, 4, 4, 4]"
+                },
+                {
+                    "line": "tests/models/glm4v_moe/test_modeling_glm4v_moe.py::Glm4vMoeIntegrationTest::test_small_model_integration_test_batch",
+                    "trace": "(line 542)  ValueError: The current `device_map` had weights offloaded to the disk, which needed to be re-saved. This is either because the weights are not in `safetensors` format, or because the model uses an internal weight format different than the one saved (i.e. most MoE models). Please provide an `offload_folder` for them in `from_pretrained`."
+                },
+                {
+                    "line": "tests/models/glm4v_moe/test_modeling_glm4v_moe.py::Glm4vMoeIntegrationTest::test_small_model_integration_test_with_video",
+                    "trace": "(line 542)  ValueError: The current `device_map` had weights offloaded to the disk, which needed to be re-saved. This is either because the weights are not in `safetensors` format, or because the model uses an internal weight format different than the one saved (i.e. most MoE models). Please provide an `offload_folder` for them in `from_pretrained`."
+                }
+            ],
+            "single": [
+                {
+                    "line": "tests/models/glm4v_moe/test_modeling_glm4v_moe.py::Glm4vMoeModelTest::test_disk_offload_bin",
+                    "trace": "(line 712)  RuntimeError: weight should have at least three dimensions"
+                },
+                {
+                    "line": "tests/models/glm4v_moe/test_modeling_glm4v_moe.py::Glm4vMoeModelTest::test_disk_offload_safetensors",
+                    "trace": "(line 712)  RuntimeError: weight should have at least three dimensions"
+                },
+                {
+                    "line": "tests/models/glm4v_moe/test_modeling_glm4v_moe.py::Glm4vMoeModelTest::test_flex_attention_with_grads",
+                    "trace": "(line 1030)  RuntimeError: split_with_sizes expects split_sizes to sum exactly to 8 (input tensor's size at dimension -1), but got split_sizes=[4, 4, 4, 4]"
+                },
+                {
+                    "line": "tests/models/glm4v_moe/test_modeling_glm4v_moe.py::Glm4vMoeIntegrationTest::test_small_model_integration_test_batch",
+                    "trace": "(line 542)  ValueError: The current `device_map` had weights offloaded to the disk, which needed to be re-saved. This is either because the weights are not in `safetensors` format, or because the model uses an internal weight format different than the one saved (i.e. most MoE models). Please provide an `offload_folder` for them in `from_pretrained`."
+                },
+                {
+                    "line": "tests/models/glm4v_moe/test_modeling_glm4v_moe.py::Glm4vMoeIntegrationTest::test_small_model_integration_test_with_video",
+                    "trace": "(line 542)  ValueError: The current `device_map` had weights offloaded to the disk, which needed to be re-saved. This is either because the weights are not in `safetensors` format, or because the model uses an internal weight format different than the one saved (i.e. most MoE models). Please provide an `offload_folder` for them in `from_pretrained`."
+                }
+            ]
+        },
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20181774705/job/57944045242",
+            "single": "https://github.com/huggingface/transformers/actions/runs/20181774705/job/57944045265"
+        },
+        "captured_info": {}
+    },
+    "models_gpt2": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Tokenizers": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Pipelines": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "ONNX": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Auto": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 359,
+        "skipped": 229,
+        "time_spent": [
+            165.75,
+            166.35
+        ],
+        "error": false,
+        "failures": {},
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/20181774705/job/57944045275",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20181774705/job/57944045233"
+        },
+        "captured_info": {}
+    },
+    "models_mllama": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 5,
+                "multi": 6
+            },
+            "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": 1,
+                "multi": 1
+            }
+        },
+        "errors": 0,
+        "success": 512,
+        "skipped": 263,
+        "time_spent": [
+            325.86,
+            332.14
+        ],
+        "error": false,
+        "failures": {
+            "single": [
+                {
+                    "line": "tests/models/mllama/test_image_processing_mllama.py::MllamaImageProcessingTest::test_can_compile_fast_image_processor",
+                    "trace": "(line 175)  AssertionError: The values for attribute 'device' do not match: cpu != cuda:0."
+                },
+                {
+                    "line": "tests/models/mllama/test_modeling_mllama.py::MllamaForConditionalGenerationIntegrationTest::test_11b_model_integration_batched_generate",
+                    "trace": "(line 650)  AssertionError: 'If I[43 chars]d be: \"I\\'m not a fan of long exposure, but I\\[21 chars]\".\\\\' != 'If I[43 chars]d be:.\\\\nA dock in the lake.\\\\nA mountain in t[27 chars]ure.'"
+                },
+                {
+                    "line": "tests/models/mllama/test_modeling_mllama.py::MllamaForConditionalGenerationIntegrationTest::test_11b_model_integration_forward",
+                    "trace": "(line 687)  AssertionError: False is not true : Actual logits: tensor([ 6.3438,  4.1562,  2.9219, -0.3398,  1.7812], dtype=torch.bfloat16)"
+                },
+                {
+                    "line": "tests/models/mllama/test_modeling_mllama.py::MllamaForConditionalGenerationIntegrationTest::test_11b_model_integration_generate",
+                    "trace": "(line 514)  AssertionError: 'If I[43 chars]d be: \"I\\'m not a fan of long exposure, but I\\[21 chars]\".\\\\' != 'If I[43 chars]d be:.\\\\nA dock in the lake.\\\\nA mountain in t[27 chars]ure.'"
+                },
+                {
+                    "line": "tests/models/mllama/test_modeling_mllama.py::MllamaForConditionalGenerationIntegrationTest::test_11b_model_integration_generate_text_only",
+                    "trace": "(line 560)  AssertionError: 'If I[58 chars]is a messy tapestry\\n Threads of joy and sorrow\\nWeft of human' != 'If I[58 chars]is a messy stream\\nRipples of joy and pain\\nFlowing, ever'"
+                },
+                {
+                    "line": "tests/models/mllama/test_modeling_mllama.py::MllamaForConditionalGenerationIntegrationTest::test_11b_model_integration_multi_image_generate",
+                    "trace": "(line 732)  AssertionError: 'The image shows a red octagonal stop sign w[59 chars]to a' != 'This image shows a long wooden dock extendi[67 chars]ling'"
+                }
+            ],
+            "multi": [
+                {
+                    "line": "tests/models/mllama/test_image_processing_mllama.py::MllamaImageProcessingTest::test_can_compile_fast_image_processor",
+                    "trace": "(line 175)  AssertionError: The values for attribute 'device' do not match: cpu != cuda:0."
+                },
+                {
+                    "line": "tests/models/mllama/test_modeling_mllama.py::MllamaForConditionalGenerationModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 769)  StopIteration: Caught StopIteration in replica 1 on device 1."
+                },
+                {
+                    "line": "tests/models/mllama/test_modeling_mllama.py::MllamaForConditionalGenerationIntegrationTest::test_11b_model_integration_batched_generate",
+                    "trace": "(line 650)  AssertionError: 'If I[43 chars]d be: \"I\\'m not a fan of long exposure, but I\\[21 chars]\".\\\\' != 'If I[43 chars]d be:.\\\\nA dock in the lake.\\\\nA mountain in t[27 chars]ure.'"
+                },
+                {
+                    "line": "tests/models/mllama/test_modeling_mllama.py::MllamaForConditionalGenerationIntegrationTest::test_11b_model_integration_forward",
+                    "trace": "(line 687)  AssertionError: False is not true : Actual logits: tensor([ 6.3438,  4.1562,  2.9219, -0.3398,  1.7812], dtype=torch.bfloat16)"
+                },
+                {
+                    "line": "tests/models/mllama/test_modeling_mllama.py::MllamaForConditionalGenerationIntegrationTest::test_11b_model_integration_generate",
+                    "trace": "(line 514)  AssertionError: 'If I[43 chars]d be: \"I\\'m not a fan of long exposure, but I\\[21 chars]\".\\\\' != 'If I[43 chars]d be:.\\\\nA dock in the lake.\\\\nA mountain in t[27 chars]ure.'"
+                },
+                {
+                    "line": "tests/models/mllama/test_modeling_mllama.py::MllamaForConditionalGenerationIntegrationTest::test_11b_model_integration_generate_text_only",
+                    "trace": "(line 560)  AssertionError: 'If I[58 chars]is a messy tapestry\\n Threads of joy and sorrow\\nWeft of human' != 'If I[58 chars]is a messy stream\\nRipples of joy and pain\\nFlowing, ever'"
+                },
+                {
+                    "line": "tests/models/mllama/test_modeling_mllama.py::MllamaForConditionalGenerationIntegrationTest::test_11b_model_integration_multi_image_generate",
+                    "trace": "(line 732)  AssertionError: 'The image shows a red octagonal stop sign w[59 chars]to a' != 'This image shows a long wooden dock extendi[67 chars]ling'"
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/20181774705/job/57944045274",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20181774705/job/57944045232"
+        },
+        "captured_info": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/20181774705/job/57944045274#step:16:1",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20181774705/job/57944045232#step:16:1"
+        }
+    },
+    "models_opt": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 5,
+                "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": 240,
+        "skipped": 196,
+        "time_spent": [
+            132.55,
+            117.67
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/opt/test_modeling_opt.py::OPTModelTest::test_eager_padding_matches_padding_free_with_position_ids",
+                    "trace": "(line 2082)  AssertionError: Tensor-likes are not close!"
+                },
+                {
+                    "line": "tests/models/opt/test_modeling_opt.py::OPTModelTest::test_sdpa_padding_matches_padding_free_with_position_ids",
+                    "trace": "(line 2082)  AssertionError: Tensor-likes are not close!"
+                },
+                {
+                    "line": "tests/models/opt/test_modeling_opt.py::OPTModelIntegrationTests::test_inference_no_head",
+                    "trace": "(line 352)  AssertionError: tensor([[-0.2883, -1.9219, -0.3079],"
+                },
+                {
+                    "line": "tests/models/opt/test_modeling_opt.py::OPTEmbeddingsTest::test_logits",
+                    "trace": "(line 418)  RuntimeError: Half did not match Float"
+                },
+                {
+                    "line": "tests/models/opt/test_modeling_opt.py::OPTGenerationTest::test_contrastive_search_opt",
+                    "trace": "(line 567)  AssertionError: Lists differ: ['A c[430 chars]tue: It was a long story. You can read it in m[423 chars]rk.'] != ['A c[430 chars]tue: They didn’t let me speak my mind.\\nHuman:[450 chars]tue']"
+                }
+            ],
+            "single": [
+                {
+                    "line": "tests/models/opt/test_modeling_opt.py::OPTModelTest::test_eager_padding_matches_padding_free_with_position_ids",
+                    "trace": "(line 2082)  AssertionError: Tensor-likes are not close!"
+                },
+                {
+                    "line": "tests/models/opt/test_modeling_opt.py::OPTModelTest::test_sdpa_padding_matches_padding_free_with_position_ids",
+                    "trace": "(line 2082)  AssertionError: Tensor-likes are not close!"
+                },
+                {
+                    "line": "tests/models/opt/test_modeling_opt.py::OPTModelIntegrationTests::test_inference_no_head",
+                    "trace": "(line 352)  AssertionError: tensor([[-0.2883, -1.9219, -0.3079],"
+                },
+                {
+                    "line": "tests/models/opt/test_modeling_opt.py::OPTEmbeddingsTest::test_logits",
+                    "trace": "(line 418)  RuntimeError: Half did not match Float"
+                },
+                {
+                    "line": "tests/models/opt/test_modeling_opt.py::OPTGenerationTest::test_contrastive_search_opt",
+                    "trace": "(line 567)  AssertionError: Lists differ: ['A c[430 chars]tue: It was a long story. You can read it in m[423 chars]rk.'] != ['A c[430 chars]tue: They didn’t let me speak my mind.\\nHuman:[450 chars]tue']"
+                }
+            ]
+        },
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20181774705/job/57944045249",
+            "single": "https://github.com/huggingface/transformers/actions/runs/20181774705/job/57944045286"
+        },
+        "captured_info": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20181774705/job/57944045249#step:16:1",
+            "single": "https://github.com/huggingface/transformers/actions/runs/20181774705/job/57944045286#step:16:1"
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