Upload 2025-12-12/runs/25298-20164565766/ci_results_run_models_gpu/model_results.json with huggingface_hub
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2025-12-12/runs/25298-20164565766/ci_results_run_models_gpu/model_results.json
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| 1 |
+
{
|
| 2 |
+
"models_deepseek_v3": {
|
| 3 |
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"failed": {
|
| 4 |
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"PyTorch": {
|
| 5 |
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"unclassified": 0,
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| 6 |
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"single": 2,
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| 7 |
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"multi": 2
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| 8 |
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},
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| 9 |
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"Tokenizers": {
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"unclassified": 0,
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| 11 |
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"single": 0,
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| 12 |
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"multi": 0
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| 13 |
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},
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| 14 |
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"Pipelines": {
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| 15 |
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"unclassified": 0,
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| 16 |
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"single": 0,
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| 17 |
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"multi": 0
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| 18 |
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},
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| 19 |
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"Trainer": {
|
| 20 |
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"unclassified": 0,
|
| 21 |
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"single": 0,
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| 22 |
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"multi": 0
|
| 23 |
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},
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| 24 |
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"ONNX": {
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| 25 |
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"unclassified": 0,
|
| 26 |
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"single": 0,
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| 27 |
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"multi": 0
|
| 28 |
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},
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| 29 |
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"Auto": {
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| 30 |
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"unclassified": 0,
|
| 31 |
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"single": 0,
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| 32 |
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"multi": 0
|
| 33 |
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},
|
| 34 |
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"Quantization": {
|
| 35 |
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"unclassified": 0,
|
| 36 |
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"single": 0,
|
| 37 |
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"multi": 0
|
| 38 |
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},
|
| 39 |
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"Unclassified": {
|
| 40 |
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"unclassified": 0,
|
| 41 |
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"single": 0,
|
| 42 |
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"multi": 0
|
| 43 |
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}
|
| 44 |
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},
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| 45 |
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"errors": 0,
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| 46 |
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"success": 215,
|
| 47 |
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"skipped": 207,
|
| 48 |
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"time_spent": [
|
| 49 |
+
124.14,
|
| 50 |
+
126.02
|
| 51 |
+
],
|
| 52 |
+
"error": false,
|
| 53 |
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"failures": {
|
| 54 |
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"single": [
|
| 55 |
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{
|
| 56 |
+
"line": "tests/models/deepseek_v3/test_modeling_deepseek_v3.py::DeepseekV3ModelTest::test_eager_matches_sdpa_generate",
|
| 57 |
+
"trace": "(line 337) AssertionError:"
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"line": "tests/models/deepseek_v3/test_modeling_deepseek_v3.py::DeepseekV3IntegrationTest::test_compile_static_cache",
|
| 61 |
+
"trace": "(line 423) AssertionError: Lists differ: ['Simply put, the theory of relativity states tha[370 chars]rew'] != ['Simplyput,thetheoryofrelativitystatesthatugarĠp[432 chars]est']"
|
| 62 |
+
}
|
| 63 |
+
],
|
| 64 |
+
"multi": [
|
| 65 |
+
{
|
| 66 |
+
"line": "tests/models/deepseek_v3/test_modeling_deepseek_v3.py::DeepseekV3ModelTest::test_eager_matches_sdpa_generate",
|
| 67 |
+
"trace": "(line 337) AssertionError:"
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"line": "tests/models/deepseek_v3/test_modeling_deepseek_v3.py::DeepseekV3IntegrationTest::test_compile_static_cache",
|
| 71 |
+
"trace": "(line 423) AssertionError: Lists differ: ['Simply put, the theory of relativity states tha[370 chars]rew'] != ['Simplyput,thetheoryofrelativitystatesthatugarĠp[432 chars]est']"
|
| 72 |
+
}
|
| 73 |
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]
|
| 74 |
+
},
|
| 75 |
+
"job_link": {
|
| 76 |
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"single": "https://github.com/huggingface/transformers/actions/runs/20164565766/job/57885292658",
|
| 77 |
+
"multi": "https://github.com/huggingface/transformers/actions/runs/20164565766/job/57885292638"
|
| 78 |
+
},
|
| 79 |
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"captured_info": {
|
| 80 |
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"single": "https://github.com/huggingface/transformers/actions/runs/20164565766/job/57885292658#step:16:1",
|
| 81 |
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"multi": "https://github.com/huggingface/transformers/actions/runs/20164565766/job/57885292638#step:16:1"
|
| 82 |
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}
|
| 83 |
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},
|
| 84 |
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"models_dots1": {
|
| 85 |
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"failed": {
|
| 86 |
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"PyTorch": {
|
| 87 |
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"unclassified": 0,
|
| 88 |
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"single": 0,
|
| 89 |
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"multi": 0
|
| 90 |
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},
|
| 91 |
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"Tokenizers": {
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| 92 |
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"unclassified": 0,
|
| 93 |
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"single": 0,
|
| 94 |
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"multi": 0
|
| 95 |
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},
|
| 96 |
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"Pipelines": {
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| 97 |
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"unclassified": 0,
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| 98 |
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"single": 0,
|
| 99 |
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"multi": 0
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| 100 |
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},
|
| 101 |
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"Trainer": {
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| 102 |
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"unclassified": 0,
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| 103 |
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"single": 0,
|
| 104 |
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"multi": 0
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| 105 |
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},
|
| 106 |
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"ONNX": {
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| 107 |
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"unclassified": 0,
|
| 108 |
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"single": 0,
|
| 109 |
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"multi": 0
|
| 110 |
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},
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| 111 |
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"Auto": {
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| 112 |
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"unclassified": 0,
|
| 113 |
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"single": 0,
|
| 114 |
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"multi": 0
|
| 115 |
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},
|
| 116 |
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"Quantization": {
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| 117 |
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"unclassified": 0,
|
| 118 |
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"single": 0,
|
| 119 |
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"multi": 0
|
| 120 |
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},
|
| 121 |
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"Unclassified": {
|
| 122 |
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"unclassified": 0,
|
| 123 |
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"single": 0,
|
| 124 |
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"multi": 0
|
| 125 |
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}
|
| 126 |
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},
|
| 127 |
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"errors": 0,
|
| 128 |
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"success": 239,
|
| 129 |
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"skipped": 209,
|
| 130 |
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"time_spent": [
|
| 131 |
+
156.63,
|
| 132 |
+
127.51
|
| 133 |
+
],
|
| 134 |
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"error": false,
|
| 135 |
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"failures": {},
|
| 136 |
+
"job_link": {
|
| 137 |
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"single": "https://github.com/huggingface/transformers/actions/runs/20164565766/job/57885292639",
|
| 138 |
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"multi": "https://github.com/huggingface/transformers/actions/runs/20164565766/job/57885292652"
|
| 139 |
+
},
|
| 140 |
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"captured_info": {
|
| 141 |
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"single": "https://github.com/huggingface/transformers/actions/runs/20164565766/job/57885292639#step:16:1",
|
| 142 |
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"multi": "https://github.com/huggingface/transformers/actions/runs/20164565766/job/57885292652#step:16:1"
|
| 143 |
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}
|
| 144 |
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},
|
| 145 |
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"models_glm4_moe": {
|
| 146 |
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"failed": {
|
| 147 |
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"PyTorch": {
|
| 148 |
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"unclassified": 0,
|
| 149 |
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"single": 1,
|
| 150 |
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"multi": 1
|
| 151 |
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},
|
| 152 |
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"Tokenizers": {
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| 153 |
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"unclassified": 0,
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| 154 |
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"single": 0,
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| 155 |
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"multi": 0
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| 156 |
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},
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| 157 |
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"Pipelines": {
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| 158 |
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"unclassified": 0,
|
| 159 |
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"single": 0,
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| 160 |
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"multi": 0
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| 161 |
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},
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| 162 |
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"Trainer": {
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| 163 |
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"unclassified": 0,
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| 164 |
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"single": 0,
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| 165 |
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"multi": 0
|
| 166 |
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},
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| 167 |
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"ONNX": {
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| 168 |
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"unclassified": 0,
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| 169 |
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"single": 0,
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| 170 |
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"multi": 0
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| 171 |
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},
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| 172 |
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"Auto": {
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| 173 |
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"unclassified": 0,
|
| 174 |
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"single": 0,
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| 175 |
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"multi": 0
|
| 176 |
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},
|
| 177 |
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"Quantization": {
|
| 178 |
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"unclassified": 0,
|
| 179 |
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"single": 0,
|
| 180 |
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"multi": 0
|
| 181 |
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},
|
| 182 |
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"Unclassified": {
|
| 183 |
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"unclassified": 0,
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| 184 |
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"single": 0,
|
| 185 |
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"multi": 0
|
| 186 |
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}
|
| 187 |
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},
|
| 188 |
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"errors": 0,
|
| 189 |
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"success": 237,
|
| 190 |
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"skipped": 209,
|
| 191 |
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"time_spent": [
|
| 192 |
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349.93,
|
| 193 |
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356.33
|
| 194 |
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],
|
| 195 |
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"error": false,
|
| 196 |
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"failures": {
|
| 197 |
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"single": [
|
| 198 |
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{
|
| 199 |
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"line": "tests/models/glm4_moe/test_modeling_glm4_moe.py::Glm4MoeIntegrationTest::test_compile_static_cache",
|
| 200 |
+
"trace": "(line 519) torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 120.00 MiB. GPU 0 has a total capacity of 22.30 GiB of which 76.69 MiB is free. Process 17965 has 22.22 GiB memory in use. Of the allocated memory 21.56 GiB is allocated by PyTorch, and 311.35 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)"
|
| 201 |
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}
|
| 202 |
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],
|
| 203 |
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"multi": [
|
| 204 |
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{
|
| 205 |
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"line": "tests/models/glm4_moe/test_modeling_glm4_moe.py::Glm4MoeIntegrationTest::test_compile_static_cache",
|
| 206 |
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"trace": "(line 519) torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 16.00 MiB. GPU 0 has a total capacity of 22.30 GiB of which 8.69 MiB is free. Process 22701 has 22.29 GiB memory in use. Of the allocated memory 21.79 GiB is allocated by PyTorch, and 36.23 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)"
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}
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| 208 |
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]
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| 209 |
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},
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| 210 |
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"job_link": {
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"single": "https://github.com/huggingface/transformers/actions/runs/20164565766/job/57885292666",
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| 212 |
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"multi": "https://github.com/huggingface/transformers/actions/runs/20164565766/job/57885292669"
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| 213 |
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},
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| 214 |
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"captured_info": {
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| 215 |
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"single": "https://github.com/huggingface/transformers/actions/runs/20164565766/job/57885292666#step:16:1",
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"multi": "https://github.com/huggingface/transformers/actions/runs/20164565766/job/57885292669#step:16:1"
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| 217 |
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}
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| 218 |
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},
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| 221 |
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|
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2455.35,
|
| 267 |
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894.7
|
| 268 |
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],
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| 269 |
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|
| 270 |
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{
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| 273 |
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"line": "tests/models/glm4v_moe/test_modeling_glm4v_moe.py::Glm4vMoeModelTest::test_disk_offload_bin",
|
| 274 |
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"trace": "(line 712) RuntimeError: weight should have at least three dimensions"
|
| 275 |
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},
|
| 276 |
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{
|
| 277 |
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"line": "tests/models/glm4v_moe/test_modeling_glm4v_moe.py::Glm4vMoeModelTest::test_disk_offload_safetensors",
|
| 278 |
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"trace": "(line 712) RuntimeError: weight should have at least three dimensions"
|
| 279 |
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},
|
| 280 |
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{
|
| 281 |
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"line": "tests/models/glm4v_moe/test_modeling_glm4v_moe.py::Glm4vMoeModelTest::test_flex_attention_with_grads",
|
| 282 |
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"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]"
|
| 283 |
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},
|
| 284 |
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{
|
| 285 |
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"line": "tests/models/glm4v_moe/test_modeling_glm4v_moe.py::Glm4vMoeIntegrationTest::test_small_model_integration_test_batch",
|
| 286 |
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"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`."
|
| 287 |
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},
|
| 288 |
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{
|
| 289 |
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"line": "tests/models/glm4v_moe/test_modeling_glm4v_moe.py::Glm4vMoeIntegrationTest::test_small_model_integration_test_with_video",
|
| 290 |
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"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`."
|
| 291 |
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}
|
| 292 |
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],
|
| 293 |
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"single": [
|
| 294 |
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{
|
| 295 |
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"line": "tests/models/glm4v_moe/test_modeling_glm4v_moe.py::Glm4vMoeModelTest::test_disk_offload_bin",
|
| 296 |
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"trace": "(line 712) RuntimeError: weight should have at least three dimensions"
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
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"line": "tests/models/glm4v_moe/test_modeling_glm4v_moe.py::Glm4vMoeModelTest::test_disk_offload_safetensors",
|
| 300 |
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"trace": "(line 712) RuntimeError: weight should have at least three dimensions"
|
| 301 |
+
},
|
| 302 |
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{
|
| 303 |
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"line": "tests/models/glm4v_moe/test_modeling_glm4v_moe.py::Glm4vMoeModelTest::test_flex_attention_with_grads",
|
| 304 |
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"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]"
|
| 305 |
+
},
|
| 306 |
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{
|
| 307 |
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"line": "tests/models/glm4v_moe/test_modeling_glm4v_moe.py::Glm4vMoeIntegrationTest::test_small_model_integration_test_batch",
|
| 308 |
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"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`."
|
| 309 |
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},
|
| 310 |
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{
|
| 311 |
+
"line": "tests/models/glm4v_moe/test_modeling_glm4v_moe.py::Glm4vMoeIntegrationTest::test_small_model_integration_test_with_video",
|
| 312 |
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"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`."
|
| 313 |
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}
|
| 314 |
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]
|
| 315 |
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},
|
| 316 |
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"job_link": {
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"multi": "https://github.com/huggingface/transformers/actions/runs/20164565766/job/57885292628",
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"single": "https://github.com/huggingface/transformers/actions/runs/20164565766/job/57885292637"
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},
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}
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|
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|
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|
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103.37,
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107.24
|
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],
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{
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"line": "tests/models/mixtral/test_modeling_mixtral.py::MixtralIntegrationTest::test_small_model_logits",
|
| 377 |
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"trace": "(line 141) AssertionError: Tensor-likes are not close!"
|
| 378 |
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},
|
| 379 |
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{
|
| 380 |
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"line": "tests/models/mixtral/test_modeling_mixtral.py::MixtralIntegrationTest::test_small_model_logits_batched",
|
| 381 |
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"trace": "(line 186) AssertionError: Tensor-likes are not close!"
|
| 382 |
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}
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| 383 |
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],
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"multi": [
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{
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"line": "tests/models/mixtral/test_modeling_mixtral.py::MixtralIntegrationTest::test_small_model_logits",
|
| 387 |
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"trace": "(line 141) AssertionError: Tensor-likes are not close!"
|
| 388 |
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},
|
| 389 |
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{
|
| 390 |
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"line": "tests/models/mixtral/test_modeling_mixtral.py::MixtralIntegrationTest::test_small_model_logits_batched",
|
| 391 |
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"trace": "(line 186) AssertionError: Tensor-likes are not close!"
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| 392 |
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}
|
| 393 |
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]
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},
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"multi": "https://github.com/huggingface/transformers/actions/runs/20164565766/job/57885292665"
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},
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"captured_info": {
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"single": "https://github.com/huggingface/transformers/actions/runs/20164565766/job/57885292645#step:16:1",
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"multi": "https://github.com/huggingface/transformers/actions/runs/20164565766/job/57885292665#step:16:1"
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}
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}
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}
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