Upload 2025-12-13/runs/25388-20185602908/ci_results_run_models_gpu/model_results.json with huggingface_hub

2025-12-13/runs/25388-20185602908/ci_results_run_models_gpu/model_results.json

@@ -0,0 +1,719 @@
+{
+    "models_llava_next": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 6,
+                "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": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 345,
+        "skipped": 135,
+        "time_spent": [
+            953.14,
+            944.38
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/llava_next/test_modeling_llava_next.py::LlavaNextForConditionalGenerationIntegrationTest::test_small_model_integration_test",
+                    "trace": "(line 134)  RuntimeError: expected mat1 and mat2 to have the same dtype, but got: c10::BFloat16 != c10::Half"
+                },
+                {
+                    "line": "tests/models/llava_next/test_modeling_llava_next.py::LlavaNextForConditionalGenerationIntegrationTest::test_small_model_integration_test_batch",
+                    "trace": "(line 134)  RuntimeError: expected mat1 and mat2 to have the same dtype, but got: c10::BFloat16 != c10::Half"
+                },
+                {
+                    "line": "tests/models/llava_next/test_modeling_llava_next.py::LlavaNextForConditionalGenerationIntegrationTest::test_small_model_integration_test_batch_different_resolutions",
+                    "trace": "(line 134)  RuntimeError: expected mat1 and mat2 to have the same dtype, but got: c10::BFloat16 != c10::Half"
+                },
+                {
+                    "line": "tests/models/llava_next/test_modeling_llava_next.py::LlavaNextForConditionalGenerationIntegrationTest::test_small_model_integration_test_batch_matches_single",
+                    "trace": "(line 134)  RuntimeError: expected mat1 and mat2 to have the same dtype, but got: c10::BFloat16 != c10::Half"
+                },
+                {
+                    "line": "tests/models/llava_next/test_modeling_llava_next.py::LlavaNextForConditionalGenerationIntegrationTest::test_small_model_integration_test_full_vision_state_selection",
+                    "trace": "(line 134)  RuntimeError: expected mat1 and mat2 to have the same dtype, but got: c10::BFloat16 != c10::Half"
+                },
+                {
+                    "line": "tests/models/llava_next/test_modeling_llava_next.py::LlavaNextForConditionalGenerationIntegrationTest::test_small_model_integration_test_unk_token",
+                    "trace": "(line 134)  RuntimeError: expected mat1 and mat2 to have the same dtype, but got: c10::BFloat16 != c10::Half"
+                }
+            ],
+            "single": [
+                {
+                    "line": "tests/models/llava_next/test_modeling_llava_next.py::LlavaNextForConditionalGenerationIntegrationTest::test_small_model_integration_test",
+                    "trace": "(line 134)  RuntimeError: expected mat1 and mat2 to have the same dtype, but got: c10::BFloat16 != c10::Half"
+                },
+                {
+                    "line": "tests/models/llava_next/test_modeling_llava_next.py::LlavaNextForConditionalGenerationIntegrationTest::test_small_model_integration_test_batch",
+                    "trace": "(line 134)  RuntimeError: expected mat1 and mat2 to have the same dtype, but got: c10::BFloat16 != c10::Half"
+                },
+                {
+                    "line": "tests/models/llava_next/test_modeling_llava_next.py::LlavaNextForConditionalGenerationIntegrationTest::test_small_model_integration_test_batch_different_resolutions",
+                    "trace": "(line 134)  RuntimeError: expected mat1 and mat2 to have the same dtype, but got: c10::BFloat16 != c10::Half"
+                },
+                {
+                    "line": "tests/models/llava_next/test_modeling_llava_next.py::LlavaNextForConditionalGenerationIntegrationTest::test_small_model_integration_test_batch_matches_single",
+                    "trace": "(line 134)  RuntimeError: expected mat1 and mat2 to have the same dtype, but got: c10::BFloat16 != c10::Half"
+                },
+                {
+                    "line": "tests/models/llava_next/test_modeling_llava_next.py::LlavaNextForConditionalGenerationIntegrationTest::test_small_model_integration_test_full_vision_state_selection",
+                    "trace": "(line 134)  RuntimeError: expected mat1 and mat2 to have the same dtype, but got: c10::BFloat16 != c10::Half"
+                },
+                {
+                    "line": "tests/models/llava_next/test_modeling_llava_next.py::LlavaNextForConditionalGenerationIntegrationTest::test_small_model_integration_test_unk_token",
+                    "trace": "(line 134)  RuntimeError: expected mat1 and mat2 to have the same dtype, but got: c10::BFloat16 != c10::Half"
+                }
+            ]
+        },
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20185602908/job/57956164287",
+            "single": "https://github.com/huggingface/transformers/actions/runs/20185602908/job/57956164286"
+        },
+        "captured_info": {}
+    },
+    "models_llava_next_video": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 4,
+                "multi": 4
+            },
+            "Tokenizers": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Pipelines": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "ONNX": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Auto": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 357,
+        "skipped": 103,
+        "time_spent": [
+            206.19,
+            196.8
+        ],
+        "error": false,
+        "failures": {
+            "single": [
+                {
+                    "line": "tests/models/llava_next_video/test_modeling_llava_next_video.py::LlavaNextVideoForConditionalGenerationIntegrationTest::test_small_model_integration_test",
+                    "trace": "(line 134)  RuntimeError: expected mat1 and mat2 to have the same dtype, but got: c10::Half != c10::BFloat16"
+                },
+                {
+                    "line": "tests/models/llava_next_video/test_modeling_llava_next_video.py::LlavaNextVideoForConditionalGenerationIntegrationTest::test_small_model_integration_test_batch",
+                    "trace": "(line 134)  RuntimeError: expected mat1 and mat2 to have the same dtype, but got: c10::Half != c10::BFloat16"
+                },
+                {
+                    "line": "tests/models/llava_next_video/test_modeling_llava_next_video.py::LlavaNextVideoForConditionalGenerationIntegrationTest::test_small_model_integration_test_batch_different_vision_types",
+                    "trace": "(line 134)  RuntimeError: expected mat1 and mat2 to have the same dtype, but got: c10::Half != c10::BFloat16"
+                },
+                {
+                    "line": "tests/models/llava_next_video/test_modeling_llava_next_video.py::LlavaNextVideoForConditionalGenerationIntegrationTest::test_small_model_integration_test_batch_matches_single",
+                    "trace": "(line 134)  RuntimeError: expected mat1 and mat2 to have the same dtype, but got: c10::Half != c10::BFloat16"
+                }
+            ],
+            "multi": [
+                {
+                    "line": "tests/models/llava_next_video/test_modeling_llava_next_video.py::LlavaNextVideoForConditionalGenerationIntegrationTest::test_small_model_integration_test",
+                    "trace": "(line 134)  RuntimeError: expected mat1 and mat2 to have the same dtype, but got: c10::Half != c10::BFloat16"
+                },
+                {
+                    "line": "tests/models/llava_next_video/test_modeling_llava_next_video.py::LlavaNextVideoForConditionalGenerationIntegrationTest::test_small_model_integration_test_batch",
+                    "trace": "(line 134)  RuntimeError: expected mat1 and mat2 to have the same dtype, but got: c10::Half != c10::BFloat16"
+                },
+                {
+                    "line": "tests/models/llava_next_video/test_modeling_llava_next_video.py::LlavaNextVideoForConditionalGenerationIntegrationTest::test_small_model_integration_test_batch_different_vision_types",
+                    "trace": "(line 134)  RuntimeError: expected mat1 and mat2 to have the same dtype, but got: c10::Half != c10::BFloat16"
+                },
+                {
+                    "line": "tests/models/llava_next_video/test_modeling_llava_next_video.py::LlavaNextVideoForConditionalGenerationIntegrationTest::test_small_model_integration_test_batch_matches_single",
+                    "trace": "(line 134)  RuntimeError: expected mat1 and mat2 to have the same dtype, but got: c10::Half != c10::BFloat16"
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/20185602908/job/57956164275",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20185602908/job/57956164315"
+        },
+        "captured_info": {}
+    },
+    "models_llava_onevision": {
+        "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": 2,
+                "multi": 2
+            }
+        },
+        "errors": 0,
+        "success": 405,
+        "skipped": 111,
+        "time_spent": [
+            176.39,
+            175.56
+        ],
+        "error": false,
+        "failures": {
+            "multi": [
+                {
+                    "line": "tests/models/llava_onevision/test_processing_llava_onevision.py::LlavaOnevisionProcessorTest::test_apply_chat_template_video_0",
+                    "trace": "(line 707)  TypeError: Incorrect format used for video. Should be an url linking to an video or a local path."
+                },
+                {
+                    "line": "tests/models/llava_onevision/test_processing_llava_onevision.py::LlavaOnevisionProcessorTest::test_apply_chat_template_video_1",
+                    "trace": "(line 707)  TypeError: Incorrect format used for video. Should be an url linking to an video or a local path."
+                }
+            ],
+            "single": [
+                {
+                    "line": "tests/models/llava_onevision/test_processing_llava_onevision.py::LlavaOnevisionProcessorTest::test_apply_chat_template_video_0",
+                    "trace": "(line 707)  TypeError: Incorrect format used for video. Should be an url linking to an video or a local path."
+                },
+                {
+                    "line": "tests/models/llava_onevision/test_processing_llava_onevision.py::LlavaOnevisionProcessorTest::test_apply_chat_template_video_1",
+                    "trace": "(line 707)  TypeError: Incorrect format used for video. Should be an url linking to an video or a local path."
+                }
+            ]
+        },
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20185602908/job/57956164301",
+            "single": "https://github.com/huggingface/transformers/actions/runs/20185602908/job/57956164285"
+        },
+        "captured_info": {}
+    },
+    "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": [
+            234.53,
+            264.22
+        ],
+        "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 2334)  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 2334)  AttributeError: 'NoneType' object has no attribute 'shape'"
+                }
+            ]
+        },
+        "job_link": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20185602908/job/57956164306",
+            "single": "https://github.com/huggingface/transformers/actions/runs/20185602908/job/57956164274"
+        },
+        "captured_info": {
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20185602908/job/57956164306#step:16:1",
+            "single": "https://github.com/huggingface/transformers/actions/runs/20185602908/job/57956164274#step:16:1"
+        }
+    },
+    "models_qwen3_omni_moe": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 4,
+                "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": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 227,
+        "skipped": 191,
+        "time_spent": [
+            1338.66,
+            379.8
+        ],
+        "error": false,
+        "failures": {
+            "single": [
+                {
+                    "line": "tests/models/qwen3_omni_moe/test_modeling_qwen3_omni_moe.py::Qwen3OmniModelIntegrationTest::test_small_model_integration_test",
+                    "trace": "(line 725)  AttributeError: Qwen3OmniMoeTalkerForConditionalGeneration has no attribute `lm_head`"
+                },
+                {
+                    "line": "tests/models/qwen3_omni_moe/test_modeling_qwen3_omni_moe.py::Qwen3OmniModelIntegrationTest::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/qwen3_omni_moe/test_modeling_qwen3_omni_moe.py::Qwen3OmniModelIntegrationTest::test_small_model_integration_test_multiturn",
+                    "trace": "(line 725)  AttributeError: Qwen3OmniMoeTalkerForConditionalGeneration has no attribute `lm_head`"
+                },
+                {
+                    "line": "tests/models/qwen3_omni_moe/test_modeling_qwen3_omni_moe.py::Qwen3OmniModelIntegrationTest::test_small_model_integration_test_w_audio",
+                    "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`."
+                }
+            ],
+            "multi": [
+                {
+                    "line": "tests/models/qwen3_omni_moe/test_modeling_qwen3_omni_moe.py::Qwen3OmniMoeThinkerForConditionalGenerationModelTest::test_model_parallelism",
+                    "trace": "(line 708)  RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:1 and cuda:0!"
+                },
+                {
+                    "line": "tests/models/qwen3_omni_moe/test_modeling_qwen3_omni_moe.py::Qwen3OmniMoeThinkerForConditionalGenerationModelTest::test_multi_gpu_data_parallel_forward",
+                    "trace": "(line 769)  StopIteration: Caught StopIteration in replica 1 on device 1."
+                },
+                {
+                    "line": "tests/models/qwen3_omni_moe/test_modeling_qwen3_omni_moe.py::Qwen3OmniModelIntegrationTest::test_small_model_integration_test",
+                    "trace": "(line 725)  AttributeError: Qwen3OmniMoeTalkerForConditionalGeneration has no attribute `lm_head`"
+                },
+                {
+                    "line": "tests/models/qwen3_omni_moe/test_modeling_qwen3_omni_moe.py::Qwen3OmniModelIntegrationTest::test_small_model_integration_test_batch",
+                    "trace": "(line 725)  AttributeError: Qwen3OmniMoeTalkerForConditionalGeneration has no attribute `lm_head`"
+                },
+                {
+                    "line": "tests/models/qwen3_omni_moe/test_modeling_qwen3_omni_moe.py::Qwen3OmniModelIntegrationTest::test_small_model_integration_test_multiturn",
+                    "trace": "(line 725)  AttributeError: Qwen3OmniMoeTalkerForConditionalGeneration has no attribute `lm_head`"
+                },
+                {
+                    "line": "tests/models/qwen3_omni_moe/test_modeling_qwen3_omni_moe.py::Qwen3OmniModelIntegrationTest::test_small_model_integration_test_w_audio",
+                    "trace": "(line 725)  AttributeError: Qwen3OmniMoeTalkerForConditionalGeneration has no attribute `lm_head`"
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/20185602908/job/57956164277",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20185602908/job/57956164300"
+        },
+        "captured_info": {}
+    },
+    "models_video_llava": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 4,
+                "multi": 4
+            },
+            "Tokenizers": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Pipelines": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "ONNX": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Auto": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            }
+        },
+        "errors": 0,
+        "success": 275,
+        "skipped": 77,
+        "time_spent": [
+            183.86,
+            185.63
+        ],
+        "error": false,
+        "failures": {
+            "single": [
+                {
+                    "line": "tests/models/video_llava/test_modeling_video_llava.py::VideoLlavaForConditionalGenerationIntegrationTest::test_small_model_integration_test",
+                    "trace": "(line 134)  RuntimeError: expected mat1 and mat2 to have the same dtype, but got: c10::Half != c10::BFloat16"
+                },
+                {
+                    "line": "tests/models/video_llava/test_modeling_video_llava.py::VideoLlavaForConditionalGenerationIntegrationTest::test_small_model_integration_test_llama",
+                    "trace": "(line 134)  RuntimeError: expected mat1 and mat2 to have the same dtype, but got: c10::Half != c10::BFloat16"
+                },
+                {
+                    "line": "tests/models/video_llava/test_modeling_video_llava.py::VideoLlavaForConditionalGenerationIntegrationTest::test_small_model_integration_test_llama_batched",
+                    "trace": "(line 134)  RuntimeError: expected mat1 and mat2 to have the same dtype, but got: c10::Half != c10::BFloat16"
+                },
+                {
+                    "line": "tests/models/video_llava/test_modeling_video_llava.py::VideoLlavaForConditionalGenerationIntegrationTest::test_small_model_integration_test_mixed_inputs",
+                    "trace": "(line 134)  RuntimeError: expected mat1 and mat2 to have the same dtype, but got: c10::Half != c10::BFloat16"
+                }
+            ],
+            "multi": [
+                {
+                    "line": "tests/models/video_llava/test_modeling_video_llava.py::VideoLlavaForConditionalGenerationIntegrationTest::test_small_model_integration_test",
+                    "trace": "(line 134)  RuntimeError: expected mat1 and mat2 to have the same dtype, but got: c10::Half != c10::BFloat16"
+                },
+                {
+                    "line": "tests/models/video_llava/test_modeling_video_llava.py::VideoLlavaForConditionalGenerationIntegrationTest::test_small_model_integration_test_llama",
+                    "trace": "(line 134)  RuntimeError: expected mat1 and mat2 to have the same dtype, but got: c10::Half != c10::BFloat16"
+                },
+                {
+                    "line": "tests/models/video_llava/test_modeling_video_llava.py::VideoLlavaForConditionalGenerationIntegrationTest::test_small_model_integration_test_llama_batched",
+                    "trace": "(line 134)  RuntimeError: expected mat1 and mat2 to have the same dtype, but got: c10::Half != c10::BFloat16"
+                },
+                {
+                    "line": "tests/models/video_llava/test_modeling_video_llava.py::VideoLlavaForConditionalGenerationIntegrationTest::test_small_model_integration_test_mixed_inputs",
+                    "trace": "(line 134)  RuntimeError: expected mat1 and mat2 to have the same dtype, but got: c10::Half != c10::BFloat16"
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/20185602908/job/57956164296",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20185602908/job/57956164307"
+        },
+        "captured_info": {}
+    },
+    "models_zamba": {
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+            "PyTorch": {
+                "unclassified": 0,
+                "single": 2,
+                "multi": 2
+            },
+            "Tokenizers": {
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+                "single": 0,
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+            },
+            "Pipelines": {
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+                "single": 0,
+                "multi": 0
+            },
+            "Trainer": {
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+                "single": 0,
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+            },
+            "ONNX": {
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+                "single": 0,
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+            },
+            "Auto": {
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+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
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+                "single": 0,
+                "multi": 0
+            },
+            "Unclassified": {
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+        "success": 147,
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+            70.21,
+            71.47
+        ],
+        "error": false,
+        "failures": {
+            "single": [
+                {
+                    "line": "tests/models/zamba/test_modeling_zamba.py::ZambaModelIntegrationTest::test_simple_batched_generate_with_padding",
+                    "trace": "(line 536)  AssertionError: '<s> [21 chars] on this lovely evening? I hope you are doing well. I am doing' != '<s> [21 chars] on this lovely evening? I hope you are all doing well. I am'"
+                },
+                {
+                    "line": "tests/models/zamba/test_modeling_zamba.py::ZambaModelIntegrationTest::test_simple_generate",
+                    "trace": "(line 505)  AssertionError: '<s> [21 chars] on this lovely evening? I hope you are doing well. I am doing' != '<s> [21 chars] on this lovely evening? I hope you are all doing well. I am'"
+                }
+            ],
+            "multi": [
+                {
+                    "line": "tests/models/zamba/test_modeling_zamba.py::ZambaModelIntegrationTest::test_simple_batched_generate_with_padding",
+                    "trace": "(line 536)  AssertionError: '<s> [21 chars] on this lovely evening? I hope you are doing well. I am doing' != '<s> [21 chars] on this lovely evening? I hope you are all doing well. I am'"
+                },
+                {
+                    "line": "tests/models/zamba/test_modeling_zamba.py::ZambaModelIntegrationTest::test_simple_generate",
+                    "trace": "(line 505)  AssertionError: '<s> [21 chars] on this lovely evening? I hope you are doing well. I am doing' != '<s> [21 chars] on this lovely evening? I hope you are all doing well. I am'"
+                }
+            ]
+        },
+        "job_link": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/20185602908/job/57956164288",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20185602908/job/57956164308"
+        },
+        "captured_info": {
+            "single": "https://github.com/huggingface/transformers/actions/runs/20185602908/job/57956164288#step:16:1",
+            "multi": "https://github.com/huggingface/transformers/actions/runs/20185602908/job/57956164308#step:16:1"
+        }
+    },
+    "models_zamba2": {
+        "failed": {
+            "PyTorch": {
+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Tokenizers": {
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+                "single": 0,
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+            },
+            "Pipelines": {
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+                "single": 0,
+                "multi": 0
+            },
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+                "single": 0,
+                "multi": 0
+            },
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+                "unclassified": 0,
+                "single": 0,
+                "multi": 0
+            },
+            "Quantization": {
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+                "single": 0,
+                "multi": 0
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+                "single": 0,
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+        "errors": 8,
+        "success": 216,
+        "skipped": 220,
+        "time_spent": [
+            107.23,
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+            "single": "https://github.com/huggingface/transformers/actions/runs/20185602908/job/57956164293"
+        },
+        "captured_info": {}
+    }
+}