hf-transformers-bot commited on
Commit
6e0039c
·
verified ·
1 Parent(s): f7573d1

Upload 2026-05-13/runs/7515-25782470909/ci_results_run_models_gpu/model_results.json with huggingface_hub

Browse files
2026-05-13/runs/7515-25782470909/ci_results_run_models_gpu/model_results.json ADDED
@@ -0,0 +1,1828 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "models_auto": {
3
+ "failed": {
4
+ "PyTorch": {
5
+ "unclassified": 0,
6
+ "single": 0,
7
+ "multi": 0
8
+ },
9
+ "Tokenizers": {
10
+ "unclassified": 0,
11
+ "single": 1,
12
+ "multi": 1
13
+ },
14
+ "Pipelines": {
15
+ "unclassified": 0,
16
+ "single": 0,
17
+ "multi": 0
18
+ },
19
+ "Trainer": {
20
+ "unclassified": 0,
21
+ "single": 0,
22
+ "multi": 0
23
+ },
24
+ "ONNX": {
25
+ "unclassified": 0,
26
+ "single": 0,
27
+ "multi": 0
28
+ },
29
+ "Auto": {
30
+ "unclassified": 0,
31
+ "single": 0,
32
+ "multi": 0
33
+ },
34
+ "Quantization": {
35
+ "unclassified": 0,
36
+ "single": 0,
37
+ "multi": 0
38
+ },
39
+ "Unclassified": {
40
+ "unclassified": 0,
41
+ "single": 0,
42
+ "multi": 0
43
+ }
44
+ },
45
+ "errors": 0,
46
+ "success": 264,
47
+ "skipped": 14,
48
+ "time_spent": [
49
+ 89.96,
50
+ 93.42
51
+ ],
52
+ "error": false,
53
+ "failures": {
54
+ "single": [
55
+ {
56
+ "line": "tests/models/auto/test_tokenization_auto.py::AutoTokenizerTest::test_custom_tokenizer_from_hub",
57
+ "trace": "(line 687) AssertionError: False is not true"
58
+ }
59
+ ],
60
+ "multi": [
61
+ {
62
+ "line": "tests/models/auto/test_tokenization_auto.py::AutoTokenizerTest::test_custom_tokenizer_from_hub",
63
+ "trace": "(line 687) AssertionError: False is not true"
64
+ }
65
+ ]
66
+ },
67
+ "job_link": {
68
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346364",
69
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346325"
70
+ },
71
+ "captured_info": {}
72
+ },
73
+ "models_bert": {
74
+ "failed": {
75
+ "PyTorch": {
76
+ "unclassified": 0,
77
+ "single": 0,
78
+ "multi": 2
79
+ },
80
+ "Tokenizers": {
81
+ "unclassified": 0,
82
+ "single": 0,
83
+ "multi": 0
84
+ },
85
+ "Pipelines": {
86
+ "unclassified": 0,
87
+ "single": 0,
88
+ "multi": 0
89
+ },
90
+ "Trainer": {
91
+ "unclassified": 0,
92
+ "single": 0,
93
+ "multi": 0
94
+ },
95
+ "ONNX": {
96
+ "unclassified": 0,
97
+ "single": 0,
98
+ "multi": 0
99
+ },
100
+ "Auto": {
101
+ "unclassified": 0,
102
+ "single": 0,
103
+ "multi": 0
104
+ },
105
+ "Quantization": {
106
+ "unclassified": 0,
107
+ "single": 0,
108
+ "multi": 0
109
+ },
110
+ "Unclassified": {
111
+ "unclassified": 0,
112
+ "single": 0,
113
+ "multi": 0
114
+ }
115
+ },
116
+ "errors": 0,
117
+ "success": 417,
118
+ "skipped": 193,
119
+ "time_spent": [
120
+ 146.56,
121
+ 140.57
122
+ ],
123
+ "error": false,
124
+ "failures": {
125
+ "multi": [
126
+ {
127
+ "line": "tests/models/bert/test_modeling_bert.py::BertModelTest::test_flash_attn_2_inference_equivalence",
128
+ "trace": "(line 3398) AssertionError: Tensor-likes are not close!"
129
+ },
130
+ {
131
+ "line": "tests/models/bert/test_modeling_bert.py::BertModelTest::test_flash_attn_2_inference_equivalence_right_padding",
132
+ "trace": "(line 3400) AssertionError: Tensor-likes are not close!"
133
+ }
134
+ ]
135
+ },
136
+ "job_link": {
137
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346305",
138
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346368"
139
+ },
140
+ "captured_info": {
141
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346305#step:16:1",
142
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346368#step:16:1"
143
+ }
144
+ },
145
+ "models_clip": {
146
+ "failed": {
147
+ "PyTorch": {
148
+ "unclassified": 0,
149
+ "single": 0,
150
+ "multi": 0
151
+ },
152
+ "Tokenizers": {
153
+ "unclassified": 0,
154
+ "single": 0,
155
+ "multi": 0
156
+ },
157
+ "Pipelines": {
158
+ "unclassified": 0,
159
+ "single": 0,
160
+ "multi": 0
161
+ },
162
+ "Trainer": {
163
+ "unclassified": 0,
164
+ "single": 0,
165
+ "multi": 0
166
+ },
167
+ "ONNX": {
168
+ "unclassified": 0,
169
+ "single": 0,
170
+ "multi": 0
171
+ },
172
+ "Auto": {
173
+ "unclassified": 0,
174
+ "single": 0,
175
+ "multi": 0
176
+ },
177
+ "Quantization": {
178
+ "unclassified": 0,
179
+ "single": 0,
180
+ "multi": 0
181
+ },
182
+ "Unclassified": {
183
+ "unclassified": 0,
184
+ "single": 0,
185
+ "multi": 0
186
+ }
187
+ },
188
+ "errors": 0,
189
+ "success": 1030,
190
+ "skipped": 572,
191
+ "time_spent": [
192
+ 169.57,
193
+ 168.17
194
+ ],
195
+ "error": false,
196
+ "failures": {},
197
+ "job_link": {
198
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346309",
199
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346344"
200
+ },
201
+ "captured_info": {}
202
+ },
203
+ "models_csm": {
204
+ "failed": {
205
+ "PyTorch": {
206
+ "unclassified": 0,
207
+ "single": 0,
208
+ "multi": 0
209
+ },
210
+ "Tokenizers": {
211
+ "unclassified": 0,
212
+ "single": 0,
213
+ "multi": 0
214
+ },
215
+ "Pipelines": {
216
+ "unclassified": 0,
217
+ "single": 0,
218
+ "multi": 0
219
+ },
220
+ "Trainer": {
221
+ "unclassified": 0,
222
+ "single": 0,
223
+ "multi": 0
224
+ },
225
+ "ONNX": {
226
+ "unclassified": 0,
227
+ "single": 0,
228
+ "multi": 0
229
+ },
230
+ "Auto": {
231
+ "unclassified": 0,
232
+ "single": 0,
233
+ "multi": 0
234
+ },
235
+ "Quantization": {
236
+ "unclassified": 0,
237
+ "single": 0,
238
+ "multi": 0
239
+ },
240
+ "Unclassified": {
241
+ "unclassified": 0,
242
+ "single": 0,
243
+ "multi": 0
244
+ }
245
+ },
246
+ "errors": 0,
247
+ "success": 292,
248
+ "skipped": 212,
249
+ "time_spent": [
250
+ 170.31,
251
+ 171.89
252
+ ],
253
+ "error": false,
254
+ "failures": {},
255
+ "job_link": {
256
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346361",
257
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346317"
258
+ },
259
+ "captured_info": {}
260
+ },
261
+ "models_detr": {
262
+ "failed": {
263
+ "PyTorch": {
264
+ "unclassified": 0,
265
+ "single": 0,
266
+ "multi": 0
267
+ },
268
+ "Tokenizers": {
269
+ "unclassified": 0,
270
+ "single": 0,
271
+ "multi": 0
272
+ },
273
+ "Pipelines": {
274
+ "unclassified": 0,
275
+ "single": 0,
276
+ "multi": 0
277
+ },
278
+ "Trainer": {
279
+ "unclassified": 0,
280
+ "single": 0,
281
+ "multi": 0
282
+ },
283
+ "ONNX": {
284
+ "unclassified": 0,
285
+ "single": 0,
286
+ "multi": 0
287
+ },
288
+ "Auto": {
289
+ "unclassified": 0,
290
+ "single": 0,
291
+ "multi": 0
292
+ },
293
+ "Quantization": {
294
+ "unclassified": 0,
295
+ "single": 0,
296
+ "multi": 0
297
+ },
298
+ "Unclassified": {
299
+ "unclassified": 0,
300
+ "single": 0,
301
+ "multi": 0
302
+ }
303
+ },
304
+ "errors": 0,
305
+ "success": 251,
306
+ "skipped": 211,
307
+ "time_spent": [
308
+ 94.22,
309
+ 93.91
310
+ ],
311
+ "error": false,
312
+ "failures": {},
313
+ "job_link": {
314
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346356",
315
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346349"
316
+ },
317
+ "captured_info": {}
318
+ },
319
+ "models_gemma3": {
320
+ "failed": {
321
+ "PyTorch": {
322
+ "unclassified": 0,
323
+ "single": 4,
324
+ "multi": 4
325
+ },
326
+ "Tokenizers": {
327
+ "unclassified": 0,
328
+ "single": 0,
329
+ "multi": 0
330
+ },
331
+ "Pipelines": {
332
+ "unclassified": 0,
333
+ "single": 0,
334
+ "multi": 0
335
+ },
336
+ "Trainer": {
337
+ "unclassified": 0,
338
+ "single": 0,
339
+ "multi": 0
340
+ },
341
+ "ONNX": {
342
+ "unclassified": 0,
343
+ "single": 0,
344
+ "multi": 0
345
+ },
346
+ "Auto": {
347
+ "unclassified": 0,
348
+ "single": 0,
349
+ "multi": 0
350
+ },
351
+ "Quantization": {
352
+ "unclassified": 0,
353
+ "single": 0,
354
+ "multi": 0
355
+ },
356
+ "Unclassified": {
357
+ "unclassified": 0,
358
+ "single": 0,
359
+ "multi": 0
360
+ }
361
+ },
362
+ "errors": 0,
363
+ "success": 724,
364
+ "skipped": 444,
365
+ "time_spent": [
366
+ 581.57,
367
+ 583.31
368
+ ],
369
+ "error": false,
370
+ "failures": {
371
+ "multi": [
372
+ {
373
+ "line": "tests/models/gemma3/test_modeling_gemma3.py::Gemma3IntegrationTest::test_dynamic_sliding_window_is_default",
374
+ "trace": "(line 874) AssertionError: 'DynamicSlidingWindowLayer' unexpectedly found in 'DynamicCache(layers=[DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer])'"
375
+ },
376
+ {
377
+ "line": "tests/models/gemma3/test_modeling_gemma3.py::Gemma3IntegrationTest::test_model_4b_crops",
378
+ "trace": "(line 590) AssertionError: Lists differ: [\"user\\nYou are a helpful assistant.\\n\\nHe[267 chars]ve.\"] != ['user\\nYou are a helpful assistant.\\n\\nHe[268 chars]the']"
379
+ },
380
+ {
381
+ "line": "tests/models/gemma3/test_modeling_gemma3.py::Gemma3IntegrationTest::test_model_4b_flash_attn",
382
+ "trace": "(line 762) AssertionError: Lists differ: ['use[75 chars]del\\nCertainly! \\n\\nThe image shows a brown an[92 chars]and'] != ['use[75 chars]del\\nThe image shows a brown and white cow sta[106 chars]day']"
383
+ },
384
+ {
385
+ "line": "tests/models/gemma3/test_modeling_gemma3.py::Gemma3IntegrationTest::test_model_4b_multiimage",
386
+ "trace": "(line 706) AssertionError: Lists differ: [\"use[115 chars]image:\\n\\n**Overall Scene:**\\n\\nIt looks like [26 chars]ith\"] != [\"use[115 chars]image!\\n\\nHere's a description of the scene:\\n[17 chars]rch\"]"
387
+ }
388
+ ],
389
+ "single": [
390
+ {
391
+ "line": "tests/models/gemma3/test_modeling_gemma3.py::Gemma3IntegrationTest::test_dynamic_sliding_window_is_default",
392
+ "trace": "(line 874) AssertionError: 'DynamicSlidingWindowLayer' unexpectedly found in 'DynamicCache(layers=[DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer, DynamicLayer, DynamicSlidingWindowLayer, DynamicSlidingWindowLayer])'"
393
+ },
394
+ {
395
+ "line": "tests/models/gemma3/test_modeling_gemma3.py::Gemma3IntegrationTest::test_model_4b_crops",
396
+ "trace": "(line 590) AssertionError: Lists differ: [\"user\\nYou are a helpful assistant.\\n\\nHe[267 chars]ve.\"] != ['user\\nYou are a helpful assistant.\\n\\nHe[268 chars]the']"
397
+ },
398
+ {
399
+ "line": "tests/models/gemma3/test_modeling_gemma3.py::Gemma3IntegrationTest::test_model_4b_flash_attn",
400
+ "trace": "(line 762) AssertionError: Lists differ: ['use[75 chars]del\\nCertainly! \\n\\nThe image shows a brown an[92 chars]and'] != ['use[75 chars]del\\nThe image shows a brown and white cow sta[106 chars]day']"
401
+ },
402
+ {
403
+ "line": "tests/models/gemma3/test_modeling_gemma3.py::Gemma3IntegrationTest::test_model_4b_multiimage",
404
+ "trace": "(line 706) AssertionError: Lists differ: [\"use[115 chars]image:\\n\\n**Overall Scene:**\\n\\nIt looks like [26 chars]ith\"] != [\"use[115 chars]image!\\n\\nHere's a description of the scene:\\n[17 chars]rch\"]"
405
+ }
406
+ ]
407
+ },
408
+ "job_link": {
409
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346334",
410
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346346"
411
+ },
412
+ "captured_info": {
413
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346334#step:16:1",
414
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346346#step:16:1"
415
+ }
416
+ },
417
+ "models_gemma3n": {
418
+ "failed": {
419
+ "PyTorch": {
420
+ "unclassified": 0,
421
+ "single": 9,
422
+ "multi": 11
423
+ },
424
+ "Tokenizers": {
425
+ "unclassified": 0,
426
+ "single": 0,
427
+ "multi": 0
428
+ },
429
+ "Pipelines": {
430
+ "unclassified": 0,
431
+ "single": 0,
432
+ "multi": 0
433
+ },
434
+ "Trainer": {
435
+ "unclassified": 0,
436
+ "single": 0,
437
+ "multi": 0
438
+ },
439
+ "ONNX": {
440
+ "unclassified": 0,
441
+ "single": 0,
442
+ "multi": 0
443
+ },
444
+ "Auto": {
445
+ "unclassified": 0,
446
+ "single": 0,
447
+ "multi": 0
448
+ },
449
+ "Quantization": {
450
+ "unclassified": 0,
451
+ "single": 0,
452
+ "multi": 0
453
+ },
454
+ "Unclassified": {
455
+ "unclassified": 0,
456
+ "single": 0,
457
+ "multi": 0
458
+ }
459
+ },
460
+ "errors": 0,
461
+ "success": 601,
462
+ "skipped": 729,
463
+ "time_spent": [
464
+ 543.54,
465
+ 547.45
466
+ ],
467
+ "error": false,
468
+ "failures": {
469
+ "single": [
470
+ {
471
+ "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nTextModelTest::test_flash_attn_2_equivalence",
472
+ "trace": "(line 596) AssertionError: Tensor-likes are not close!"
473
+ },
474
+ {
475
+ "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nTextModelTest::test_flash_attn_2_inference_equivalence",
476
+ "trace": "(line 3396) AssertionError: Tensor-likes are not close!"
477
+ },
478
+ {
479
+ "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nTextModelTest::test_flash_attn_2_inference_equivalence_right_padding",
480
+ "trace": "(line 3396) AssertionError: Tensor-likes are not close!"
481
+ },
482
+ {
483
+ "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nTextModelTest::test_generate_compile_model_forward_fullgraph",
484
+ "trace": "(line 745) torch._dynamo.exc.Unsupported: Attempted to inline function marked as skipped"
485
+ },
486
+ {
487
+ "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nVision2TextModelTest::test_generate_compile_model_forward_fullgraph",
488
+ "trace": "(line 745) torch._dynamo.exc.Unsupported: Attempted to inline function marked as skipped"
489
+ },
490
+ {
491
+ "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_generation_beyond_sliding_window",
492
+ "trace": "(line 1196) AssertionError: Lists differ: [\" and the food is delicious. I'm so glad I came her[83 chars]re'\"] != [\" and the people are so friendly. I'm so glad I cam[83 chars]re'\"]"
493
+ },
494
+ {
495
+ "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_generation_beyond_sliding_window_with_generation_config",
496
+ "trace": "(line 1228) AssertionError: Lists differ: [\" and I'm very happy to be here. This is a nice pla[87 chars]re'\"] != [\" and I'm glad I came here. This is a nice place. T[88 chars]re'\"]"
497
+ },
498
+ {
499
+ "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_model_4b_bf16",
500
+ "trace": "(line 998) AssertionError: Lists differ: ['use[149 chars]to a turquoise ocean. The cow is facing the vi[31 chars]ned'] != ['use[149 chars]to a clear blue ocean. The cow is facing the v[25 chars]tly']"
501
+ },
502
+ {
503
+ "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_model_4b_image",
504
+ "trace": "(line 1110) AssertionError: Lists differ: ['use[149 chars]to a turquoise ocean. The cow is facing the vi[31 chars]ned'] != ['use[149 chars]to a clear blue ocean. The cow is facing the v[25 chars]tly']"
505
+ }
506
+ ],
507
+ "multi": [
508
+ {
509
+ "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nTextModelTest::test_flash_attn_2_equivalence",
510
+ "trace": "(line 596) AssertionError: Tensor-likes are not close!"
511
+ },
512
+ {
513
+ "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nTextModelTest::test_flash_attn_2_inference_equivalence",
514
+ "trace": "(line 3396) AssertionError: Tensor-likes are not close!"
515
+ },
516
+ {
517
+ "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nTextModelTest::test_flash_attn_2_inference_equivalence_right_padding",
518
+ "trace": "(line 3396) AssertionError: Tensor-likes are not close!"
519
+ },
520
+ {
521
+ "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nTextModelTest::test_generate_compile_model_forward_fullgraph",
522
+ "trace": "(line 745) torch._dynamo.exc.Unsupported: Attempted to inline function marked as skipped"
523
+ },
524
+ {
525
+ "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nVision2TextModelTest::test_generate_compile_model_forward_fullgraph",
526
+ "trace": "(line 745) torch._dynamo.exc.Unsupported: Attempted to inline function marked as skipped"
527
+ },
528
+ {
529
+ "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nVision2TextModelTest::test_model_parallelism",
530
+ "trace": "(line 1962) AttributeError: 'Gemma3nModel' object has no attribute 'hf_device_map'"
531
+ },
532
+ {
533
+ "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nVision2TextModelTest::test_multi_gpu_data_parallel_forward",
534
+ "trace": "(line 769) StopIteration: Caught StopIteration in replica 1 on device 1."
535
+ },
536
+ {
537
+ "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_generation_beyond_sliding_window",
538
+ "trace": "(line 1196) AssertionError: Lists differ: [\" and the food is delicious. I'm so glad I came her[83 chars]re'\"] != [\" and the people are so friendly. I'm so glad I cam[83 chars]re'\"]"
539
+ },
540
+ {
541
+ "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_generation_beyond_sliding_window_with_generation_config",
542
+ "trace": "(line 1228) AssertionError: Lists differ: [\" and I'm very happy to be here. This is a nice pla[87 chars]re'\"] != [\" and I'm glad I came here. This is a nice place. T[88 chars]re'\"]"
543
+ },
544
+ {
545
+ "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_model_4b_bf16",
546
+ "trace": "(line 998) AssertionError: Lists differ: ['use[149 chars]to a turquoise ocean. The cow is facing the vi[31 chars]ned'] != ['use[149 chars]to a clear blue ocean. The cow is facing the v[25 chars]tly']"
547
+ },
548
+ {
549
+ "line": "tests/models/gemma3n/test_modeling_gemma3n.py::Gemma3nIntegrationTest::test_model_4b_image",
550
+ "trace": "(line 1110) AssertionError: Lists differ: ['use[149 chars]to a turquoise ocean. The cow is facing the vi[31 chars]ned'] != ['use[149 chars]to a clear blue ocean. The cow is facing the v[25 chars]tly']"
551
+ }
552
+ ]
553
+ },
554
+ "job_link": {
555
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346413",
556
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346329"
557
+ },
558
+ "captured_info": {
559
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346413#step:16:1",
560
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346329#step:16:1"
561
+ }
562
+ },
563
+ "models_got_ocr2": {
564
+ "failed": {
565
+ "PyTorch": {
566
+ "unclassified": 0,
567
+ "single": 1,
568
+ "multi": 1
569
+ },
570
+ "Tokenizers": {
571
+ "unclassified": 0,
572
+ "single": 0,
573
+ "multi": 0
574
+ },
575
+ "Pipelines": {
576
+ "unclassified": 0,
577
+ "single": 0,
578
+ "multi": 0
579
+ },
580
+ "Trainer": {
581
+ "unclassified": 0,
582
+ "single": 0,
583
+ "multi": 0
584
+ },
585
+ "ONNX": {
586
+ "unclassified": 0,
587
+ "single": 0,
588
+ "multi": 0
589
+ },
590
+ "Auto": {
591
+ "unclassified": 0,
592
+ "single": 0,
593
+ "multi": 0
594
+ },
595
+ "Quantization": {
596
+ "unclassified": 0,
597
+ "single": 0,
598
+ "multi": 0
599
+ },
600
+ "Unclassified": {
601
+ "unclassified": 0,
602
+ "single": 0,
603
+ "multi": 0
604
+ }
605
+ },
606
+ "errors": 0,
607
+ "success": 327,
608
+ "skipped": 319,
609
+ "time_spent": [
610
+ 190.6,
611
+ 184.08
612
+ ],
613
+ "error": false,
614
+ "failures": {
615
+ "multi": [
616
+ {
617
+ "line": "tests/models/got_ocr2/test_modeling_got_ocr2.py::GotOcr2IntegrationTest::test_small_model_integration_test_got_ocr_format",
618
+ "trace": "(line 210) AssertionError: 'R\\\\&D' != '\\\\title{\\nR'"
619
+ }
620
+ ],
621
+ "single": [
622
+ {
623
+ "line": "tests/models/got_ocr2/test_modeling_got_ocr2.py::GotOcr2IntegrationTest::test_small_model_integration_test_got_ocr_format",
624
+ "trace": "(line 210) AssertionError: 'R\\\\&D' != '\\\\title{\\nR'"
625
+ }
626
+ ]
627
+ },
628
+ "job_link": {
629
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346328",
630
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346389"
631
+ },
632
+ "captured_info": {
633
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346328#step:16:1",
634
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346389#step:16:1"
635
+ }
636
+ },
637
+ "models_gpt2": {
638
+ "failed": {
639
+ "PyTorch": {
640
+ "unclassified": 0,
641
+ "single": 0,
642
+ "multi": 0
643
+ },
644
+ "Tokenizers": {
645
+ "unclassified": 0,
646
+ "single": 0,
647
+ "multi": 0
648
+ },
649
+ "Pipelines": {
650
+ "unclassified": 0,
651
+ "single": 0,
652
+ "multi": 0
653
+ },
654
+ "Trainer": {
655
+ "unclassified": 0,
656
+ "single": 0,
657
+ "multi": 0
658
+ },
659
+ "ONNX": {
660
+ "unclassified": 0,
661
+ "single": 0,
662
+ "multi": 0
663
+ },
664
+ "Auto": {
665
+ "unclassified": 0,
666
+ "single": 0,
667
+ "multi": 0
668
+ },
669
+ "Quantization": {
670
+ "unclassified": 0,
671
+ "single": 0,
672
+ "multi": 0
673
+ },
674
+ "Unclassified": {
675
+ "unclassified": 0,
676
+ "single": 0,
677
+ "multi": 0
678
+ }
679
+ },
680
+ "errors": 0,
681
+ "success": 441,
682
+ "skipped": 217,
683
+ "time_spent": [
684
+ 149.15,
685
+ 151.88
686
+ ],
687
+ "error": false,
688
+ "failures": {},
689
+ "job_link": {
690
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346402",
691
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346345"
692
+ },
693
+ "captured_info": {}
694
+ },
695
+ "models_internvl": {
696
+ "failed": {
697
+ "PyTorch": {
698
+ "unclassified": 0,
699
+ "single": 0,
700
+ "multi": 1
701
+ },
702
+ "Tokenizers": {
703
+ "unclassified": 0,
704
+ "single": 0,
705
+ "multi": 0
706
+ },
707
+ "Pipelines": {
708
+ "unclassified": 0,
709
+ "single": 0,
710
+ "multi": 0
711
+ },
712
+ "Trainer": {
713
+ "unclassified": 0,
714
+ "single": 0,
715
+ "multi": 0
716
+ },
717
+ "ONNX": {
718
+ "unclassified": 0,
719
+ "single": 0,
720
+ "multi": 0
721
+ },
722
+ "Auto": {
723
+ "unclassified": 0,
724
+ "single": 0,
725
+ "multi": 0
726
+ },
727
+ "Quantization": {
728
+ "unclassified": 0,
729
+ "single": 0,
730
+ "multi": 0
731
+ },
732
+ "Unclassified": {
733
+ "unclassified": 0,
734
+ "single": 0,
735
+ "multi": 0
736
+ }
737
+ },
738
+ "errors": 0,
739
+ "success": 446,
740
+ "skipped": 213,
741
+ "time_spent": [
742
+ 238.0,
743
+ 239.22
744
+ ],
745
+ "error": false,
746
+ "failures": {
747
+ "multi": [
748
+ {
749
+ "line": "tests/models/internvl/test_modeling_internvl.py::InternVLModelTest::test_multi_gpu_data_parallel_forward",
750
+ "trace": "(line 769) StopIteration: Caught StopIteration in replica 1 on device 1."
751
+ }
752
+ ]
753
+ },
754
+ "job_link": {
755
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346324",
756
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346403"
757
+ },
758
+ "captured_info": {}
759
+ },
760
+ "models_llama": {
761
+ "failed": {
762
+ "PyTorch": {
763
+ "unclassified": 0,
764
+ "single": 0,
765
+ "multi": 0
766
+ },
767
+ "Tokenizers": {
768
+ "unclassified": 0,
769
+ "single": 0,
770
+ "multi": 0
771
+ },
772
+ "Pipelines": {
773
+ "unclassified": 0,
774
+ "single": 0,
775
+ "multi": 0
776
+ },
777
+ "Trainer": {
778
+ "unclassified": 0,
779
+ "single": 0,
780
+ "multi": 0
781
+ },
782
+ "ONNX": {
783
+ "unclassified": 0,
784
+ "single": 0,
785
+ "multi": 0
786
+ },
787
+ "Auto": {
788
+ "unclassified": 0,
789
+ "single": 0,
790
+ "multi": 0
791
+ },
792
+ "Quantization": {
793
+ "unclassified": 0,
794
+ "single": 0,
795
+ "multi": 0
796
+ },
797
+ "Unclassified": {
798
+ "unclassified": 0,
799
+ "single": 0,
800
+ "multi": 0
801
+ }
802
+ },
803
+ "errors": 0,
804
+ "success": 459,
805
+ "skipped": 183,
806
+ "time_spent": [
807
+ 284.11,
808
+ 286.63
809
+ ],
810
+ "error": false,
811
+ "failures": {},
812
+ "job_link": {
813
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346380",
814
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346400"
815
+ },
816
+ "captured_info": {
817
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346380#step:16:1",
818
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346400#step:16:1"
819
+ }
820
+ },
821
+ "models_llava": {
822
+ "failed": {
823
+ "PyTorch": {
824
+ "unclassified": 0,
825
+ "single": 4,
826
+ "multi": 4
827
+ },
828
+ "Tokenizers": {
829
+ "unclassified": 0,
830
+ "single": 0,
831
+ "multi": 0
832
+ },
833
+ "Pipelines": {
834
+ "unclassified": 0,
835
+ "single": 0,
836
+ "multi": 0
837
+ },
838
+ "Trainer": {
839
+ "unclassified": 0,
840
+ "single": 0,
841
+ "multi": 0
842
+ },
843
+ "ONNX": {
844
+ "unclassified": 0,
845
+ "single": 0,
846
+ "multi": 0
847
+ },
848
+ "Auto": {
849
+ "unclassified": 0,
850
+ "single": 0,
851
+ "multi": 0
852
+ },
853
+ "Quantization": {
854
+ "unclassified": 0,
855
+ "single": 0,
856
+ "multi": 0
857
+ },
858
+ "Unclassified": {
859
+ "unclassified": 0,
860
+ "single": 0,
861
+ "multi": 0
862
+ }
863
+ },
864
+ "errors": 0,
865
+ "success": 431,
866
+ "skipped": 231,
867
+ "time_spent": [
868
+ 264.57,
869
+ 273.86
870
+ ],
871
+ "error": false,
872
+ "failures": {
873
+ "multi": [
874
+ {
875
+ "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_batched_generation",
876
+ "trace": "(line 566) AssertionError: Lists differ: [\"\\n [134 chars] one image and a\", '\\nUSER: Describe the image[210 chars]ama'] != [\"\\n [134 chars] one and a yellow\", '\\nUSER: Describe the imag[211 chars]ama']"
877
+ },
878
+ {
879
+ "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_pixtral",
880
+ "trace": "(line 971) torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 40.00 MiB. GPU 0 has a total capacity of 22.30 GiB of which 10.69 MiB is free. Process 171643 has 22.29 GiB memory in use. Of the allocated memory 21.77 GiB is allocated by PyTorch, and 14.88 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)"
881
+ },
882
+ {
883
+ "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_pixtral_4bit",
884
+ "trace": "(line 5018) torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 7.77 GiB. GPU 0 has a total capacity of 22.30 GiB of which 704.00 KiB is free. Process 171643 has 22.29 GiB memory in use. Of the allocated memory 21.78 GiB is allocated by PyTorch, and 14.86 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)"
885
+ },
886
+ {
887
+ "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_pixtral_batched",
888
+ "trace": "(line 724) AssertionError: Lists differ: ['Wha[97 chars]mage?A narrow dirt path is surrounded by grass[74 chars]ue.'] != ['Wha[97 chars]mage?The image depicts a narrow, winding dirt [175 chars]ere']"
889
+ }
890
+ ],
891
+ "single": [
892
+ {
893
+ "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_batched_generation",
894
+ "trace": "(line 566) AssertionError: Lists differ: [\"\\n [134 chars] one image and a\", '\\nUSER: Describe the image[210 chars]ama'] != [\"\\n [134 chars] one and a yellow\", '\\nUSER: Describe the imag[211 chars]ama']"
895
+ },
896
+ {
897
+ "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_pixtral",
898
+ "trace": "(line 971) torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 140.00 MiB. GPU 0 has a total capacity of 22.30 GiB of which 86.69 MiB is free. Process 159667 has 22.21 GiB memory in use. Of the allocated memory 21.81 GiB is allocated by PyTorch, and 13.01 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)"
899
+ },
900
+ {
901
+ "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_pixtral_4bit",
902
+ "trace": "(line 5018) torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 7.77 GiB. GPU 0 has a total capacity of 22.30 GiB of which 76.69 MiB is free. Process 159667 has 22.22 GiB memory in use. Of the allocated memory 21.82 GiB is allocated by PyTorch, and 12.99 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)"
903
+ },
904
+ {
905
+ "line": "tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_pixtral_batched",
906
+ "trace": "(line 724) AssertionError: Lists differ: ['Wha[97 chars]mage?A narrow dirt path is surrounded by grass[74 chars]ue.'] != ['Wha[97 chars]mage?The image depicts a narrow, winding dirt [175 chars]ere']"
907
+ }
908
+ ]
909
+ },
910
+ "job_link": {
911
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346326",
912
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346417"
913
+ },
914
+ "captured_info": {
915
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346326#step:16:1",
916
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346417#step:16:1"
917
+ }
918
+ },
919
+ "models_mistral3": {
920
+ "failed": {
921
+ "PyTorch": {
922
+ "unclassified": 0,
923
+ "single": 2,
924
+ "multi": 2
925
+ },
926
+ "Tokenizers": {
927
+ "unclassified": 0,
928
+ "single": 0,
929
+ "multi": 0
930
+ },
931
+ "Pipelines": {
932
+ "unclassified": 0,
933
+ "single": 0,
934
+ "multi": 0
935
+ },
936
+ "Trainer": {
937
+ "unclassified": 0,
938
+ "single": 0,
939
+ "multi": 0
940
+ },
941
+ "ONNX": {
942
+ "unclassified": 0,
943
+ "single": 0,
944
+ "multi": 0
945
+ },
946
+ "Auto": {
947
+ "unclassified": 0,
948
+ "single": 0,
949
+ "multi": 0
950
+ },
951
+ "Quantization": {
952
+ "unclassified": 0,
953
+ "single": 0,
954
+ "multi": 0
955
+ },
956
+ "Unclassified": {
957
+ "unclassified": 0,
958
+ "single": 0,
959
+ "multi": 0
960
+ }
961
+ },
962
+ "errors": 0,
963
+ "success": 357,
964
+ "skipped": 245,
965
+ "time_spent": [
966
+ 1183.95,
967
+ 1161.95
968
+ ],
969
+ "error": false,
970
+ "failures": {
971
+ "single": [
972
+ {
973
+ "line": "tests/models/mistral3/test_modeling_mistral3.py::Mistral3IntegrationTest::test_mistral3_integration_batched_generate",
974
+ "trace": "(line 362) AssertionError: ' to write a short story based on this ima[70 chars]e pl' != 'Calm waters reflect\\nWooden path to dista[26 chars]oods'"
975
+ },
976
+ {
977
+ "line": "tests/models/mistral3/test_modeling_mistral3.py::Mistral3IntegrationTest::test_mistral3_integration_batched_generate_multi_image",
978
+ "trace": "(line 438) AssertionError: ' to write a short story based on this im[81 chars]ched' != \"Calm waters reflect\\nWooden path to dist[29 chars]hold\""
979
+ }
980
+ ],
981
+ "multi": [
982
+ {
983
+ "line": "tests/models/mistral3/test_modeling_mistral3.py::Mistral3IntegrationTest::test_mistral3_integration_batched_generate",
984
+ "trace": "(line 362) AssertionError: ' to write a short story based on this ima[70 chars]e pl' != 'Calm waters reflect\\nWooden path to dista[26 chars]oods'"
985
+ },
986
+ {
987
+ "line": "tests/models/mistral3/test_modeling_mistral3.py::Mistral3IntegrationTest::test_mistral3_integration_batched_generate_multi_image",
988
+ "trace": "(line 438) AssertionError: ' to write a short story based on this im[81 chars]ched' != \"Calm waters reflect\\nWooden path to dist[29 chars]hold\""
989
+ }
990
+ ]
991
+ },
992
+ "job_link": {
993
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346294",
994
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346395"
995
+ },
996
+ "captured_info": {
997
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346294#step:16:1",
998
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346395#step:16:1"
999
+ }
1000
+ },
1001
+ "models_modernbert": {
1002
+ "failed": {
1003
+ "PyTorch": {
1004
+ "unclassified": 0,
1005
+ "single": 1,
1006
+ "multi": 1
1007
+ },
1008
+ "Tokenizers": {
1009
+ "unclassified": 0,
1010
+ "single": 0,
1011
+ "multi": 0
1012
+ },
1013
+ "Pipelines": {
1014
+ "unclassified": 0,
1015
+ "single": 0,
1016
+ "multi": 0
1017
+ },
1018
+ "Trainer": {
1019
+ "unclassified": 0,
1020
+ "single": 0,
1021
+ "multi": 0
1022
+ },
1023
+ "ONNX": {
1024
+ "unclassified": 0,
1025
+ "single": 0,
1026
+ "multi": 0
1027
+ },
1028
+ "Auto": {
1029
+ "unclassified": 0,
1030
+ "single": 0,
1031
+ "multi": 0
1032
+ },
1033
+ "Quantization": {
1034
+ "unclassified": 0,
1035
+ "single": 0,
1036
+ "multi": 0
1037
+ },
1038
+ "Unclassified": {
1039
+ "unclassified": 0,
1040
+ "single": 0,
1041
+ "multi": 0
1042
+ }
1043
+ },
1044
+ "errors": 0,
1045
+ "success": 240,
1046
+ "skipped": 160,
1047
+ "time_spent": [
1048
+ 105.45,
1049
+ 104.11
1050
+ ],
1051
+ "error": false,
1052
+ "failures": {
1053
+ "multi": [
1054
+ {
1055
+ "line": "tests/models/modernbert/test_modeling_modernbert.py::ModernBertModelIntegrationTest::test_inference_masked_lm_flash_attention_2",
1056
+ "trace": "(line 441) AssertionError: Tensor-likes are not close!"
1057
+ }
1058
+ ],
1059
+ "single": [
1060
+ {
1061
+ "line": "tests/models/modernbert/test_modeling_modernbert.py::ModernBertModelIntegrationTest::test_inference_masked_lm_flash_attention_2",
1062
+ "trace": "(line 441) AssertionError: Tensor-likes are not close!"
1063
+ }
1064
+ ]
1065
+ },
1066
+ "job_link": {
1067
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346397",
1068
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346280"
1069
+ },
1070
+ "captured_info": {
1071
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346397#step:16:1",
1072
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346280#step:16:1"
1073
+ }
1074
+ },
1075
+ "models_pi0": {
1076
+ "failed": {
1077
+ "PyTorch": {
1078
+ "unclassified": 0,
1079
+ "single": 1,
1080
+ "multi": 1
1081
+ },
1082
+ "Tokenizers": {
1083
+ "unclassified": 0,
1084
+ "single": 0,
1085
+ "multi": 0
1086
+ },
1087
+ "Pipelines": {
1088
+ "unclassified": 0,
1089
+ "single": 0,
1090
+ "multi": 0
1091
+ },
1092
+ "Trainer": {
1093
+ "unclassified": 0,
1094
+ "single": 0,
1095
+ "multi": 0
1096
+ },
1097
+ "ONNX": {
1098
+ "unclassified": 0,
1099
+ "single": 0,
1100
+ "multi": 0
1101
+ },
1102
+ "Auto": {
1103
+ "unclassified": 0,
1104
+ "single": 0,
1105
+ "multi": 0
1106
+ },
1107
+ "Quantization": {
1108
+ "unclassified": 0,
1109
+ "single": 0,
1110
+ "multi": 0
1111
+ },
1112
+ "Unclassified": {
1113
+ "unclassified": 0,
1114
+ "single": 0,
1115
+ "multi": 0
1116
+ }
1117
+ },
1118
+ "errors": 0,
1119
+ "success": 208,
1120
+ "skipped": 202,
1121
+ "time_spent": [
1122
+ 153.21,
1123
+ 131.99
1124
+ ],
1125
+ "error": false,
1126
+ "failures": {
1127
+ "multi": [
1128
+ {
1129
+ "line": "tests/models/pi0/test_modeling_pi0.py::PI0ModelIntegrationTest::test_train_pi0_base_libero",
1130
+ "trace": "(line 769) torch.OutOfMemoryError: Caught OutOfMemoryError in replica 0 on device 0."
1131
+ }
1132
+ ],
1133
+ "single": [
1134
+ {
1135
+ "line": "tests/models/pi0/test_modeling_pi0.py::PI0ModelIntegrationTest::test_train_pi0_base_libero",
1136
+ "trace": "(line 193) torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 18.00 MiB. GPU 0 has a total capacity of 22.30 GiB of which 8.69 MiB is free. Process 129986 has 22.29 GiB memory in use. Of the allocated memory 21.50 GiB is allocated by PyTorch, and 478.92 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)"
1137
+ }
1138
+ ]
1139
+ },
1140
+ "job_link": {
1141
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346396",
1142
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346314"
1143
+ },
1144
+ "captured_info": {}
1145
+ },
1146
+ "models_qwen2": {
1147
+ "failed": {
1148
+ "PyTorch": {
1149
+ "unclassified": 0,
1150
+ "single": 1,
1151
+ "multi": 1
1152
+ },
1153
+ "Tokenizers": {
1154
+ "unclassified": 0,
1155
+ "single": 0,
1156
+ "multi": 0
1157
+ },
1158
+ "Pipelines": {
1159
+ "unclassified": 0,
1160
+ "single": 0,
1161
+ "multi": 0
1162
+ },
1163
+ "Trainer": {
1164
+ "unclassified": 0,
1165
+ "single": 0,
1166
+ "multi": 0
1167
+ },
1168
+ "ONNX": {
1169
+ "unclassified": 0,
1170
+ "single": 0,
1171
+ "multi": 0
1172
+ },
1173
+ "Auto": {
1174
+ "unclassified": 0,
1175
+ "single": 0,
1176
+ "multi": 0
1177
+ },
1178
+ "Quantization": {
1179
+ "unclassified": 0,
1180
+ "single": 0,
1181
+ "multi": 0
1182
+ },
1183
+ "Unclassified": {
1184
+ "unclassified": 0,
1185
+ "single": 0,
1186
+ "multi": 0
1187
+ }
1188
+ },
1189
+ "errors": 0,
1190
+ "success": 451,
1191
+ "skipped": 181,
1192
+ "time_spent": [
1193
+ 243.42,
1194
+ 248.35
1195
+ ],
1196
+ "error": false,
1197
+ "failures": {
1198
+ "multi": [
1199
+ {
1200
+ "line": "tests/models/qwen2/test_modeling_qwen2.py::Qwen2IntegrationTest::test_export_static_cache",
1201
+ "trace": "(line 287) AssertionError: Lists differ: ['My [35 chars], organic, gluten free, vegan, and free from preservatives. I'] != ['My [35 chars], organic, gluten free, vegan, and vegetarian. I love to use']"
1202
+ }
1203
+ ],
1204
+ "single": [
1205
+ {
1206
+ "line": "tests/models/qwen2/test_modeling_qwen2.py::Qwen2IntegrationTest::test_export_static_cache",
1207
+ "trace": "(line 287) AssertionError: Lists differ: ['My [35 chars], organic, gluten free, vegan, and free from preservatives. I'] != ['My [35 chars], organic, gluten free, vegan, and vegetarian. I love to use']"
1208
+ }
1209
+ ]
1210
+ },
1211
+ "job_link": {
1212
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346406",
1213
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346296"
1214
+ },
1215
+ "captured_info": {
1216
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346406#step:16:1",
1217
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346296#step:16:1"
1218
+ }
1219
+ },
1220
+ "models_qwen2_5_omni": {
1221
+ "failed": {
1222
+ "PyTorch": {
1223
+ "unclassified": 0,
1224
+ "single": 2,
1225
+ "multi": 3
1226
+ },
1227
+ "Tokenizers": {
1228
+ "unclassified": 0,
1229
+ "single": 0,
1230
+ "multi": 0
1231
+ },
1232
+ "Pipelines": {
1233
+ "unclassified": 0,
1234
+ "single": 0,
1235
+ "multi": 0
1236
+ },
1237
+ "Trainer": {
1238
+ "unclassified": 0,
1239
+ "single": 0,
1240
+ "multi": 0
1241
+ },
1242
+ "ONNX": {
1243
+ "unclassified": 0,
1244
+ "single": 0,
1245
+ "multi": 0
1246
+ },
1247
+ "Auto": {
1248
+ "unclassified": 0,
1249
+ "single": 0,
1250
+ "multi": 0
1251
+ },
1252
+ "Quantization": {
1253
+ "unclassified": 0,
1254
+ "single": 0,
1255
+ "multi": 0
1256
+ },
1257
+ "Unclassified": {
1258
+ "unclassified": 0,
1259
+ "single": 0,
1260
+ "multi": 0
1261
+ }
1262
+ },
1263
+ "errors": 0,
1264
+ "success": 360,
1265
+ "skipped": 235,
1266
+ "time_spent": [
1267
+ 187.94,
1268
+ 301.32
1269
+ ],
1270
+ "error": false,
1271
+ "failures": {
1272
+ "multi": [
1273
+ {
1274
+ "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniThinkerForConditionalGenerationModelTest::test_multi_gpu_data_parallel_forward",
1275
+ "trace": "(line 769) StopIteration: Caught StopIteration in replica 1 on device 1."
1276
+ },
1277
+ {
1278
+ "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test",
1279
+ "trace": "(line 692) AssertionError: \"syst[108 chars]d is glass shattering, and the dog is a Labrador Retriever.\" != \"syst[108 chars]d is a glass shattering. The dog in the pictur[22 chars]ver.\""
1280
+ },
1281
+ {
1282
+ "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test_batch",
1283
+ "trace": "(line 734) AssertionError: Lists differ: [\"sys[109 chars]d is glass shattering, and the dog is a Labrad[185 chars]er.\"] != [\"sys[109 chars]d is a glass shattering. The dog in the pictur[211 chars]er.\"]"
1284
+ }
1285
+ ],
1286
+ "single": [
1287
+ {
1288
+ "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test",
1289
+ "trace": "(line 692) AssertionError: \"syst[108 chars]d is glass shattering, and the dog is a Labrador Retriever.\" != \"syst[108 chars]d is a glass shattering. The dog in the pictur[22 chars]ver.\""
1290
+ },
1291
+ {
1292
+ "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test_batch",
1293
+ "trace": "(line 734) AssertionError: Lists differ: [\"sys[109 chars]d is glass shattering, and the dog is a Labrad[185 chars]er.\"] != [\"sys[109 chars]d is a glass shattering. The dog in the pictur[211 chars]er.\"]"
1294
+ }
1295
+ ]
1296
+ },
1297
+ "job_link": {
1298
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346408",
1299
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346284"
1300
+ },
1301
+ "captured_info": {
1302
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346408#step:16:1",
1303
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346284#step:16:1"
1304
+ }
1305
+ },
1306
+ "models_qwen2_5_vl": {
1307
+ "failed": {
1308
+ "PyTorch": {
1309
+ "unclassified": 0,
1310
+ "single": 1,
1311
+ "multi": 1
1312
+ },
1313
+ "Tokenizers": {
1314
+ "unclassified": 0,
1315
+ "single": 0,
1316
+ "multi": 0
1317
+ },
1318
+ "Pipelines": {
1319
+ "unclassified": 0,
1320
+ "single": 0,
1321
+ "multi": 0
1322
+ },
1323
+ "Trainer": {
1324
+ "unclassified": 0,
1325
+ "single": 0,
1326
+ "multi": 0
1327
+ },
1328
+ "ONNX": {
1329
+ "unclassified": 0,
1330
+ "single": 0,
1331
+ "multi": 0
1332
+ },
1333
+ "Auto": {
1334
+ "unclassified": 0,
1335
+ "single": 0,
1336
+ "multi": 0
1337
+ },
1338
+ "Quantization": {
1339
+ "unclassified": 0,
1340
+ "single": 0,
1341
+ "multi": 0
1342
+ },
1343
+ "Unclassified": {
1344
+ "unclassified": 0,
1345
+ "single": 0,
1346
+ "multi": 0
1347
+ }
1348
+ },
1349
+ "errors": 0,
1350
+ "success": 393,
1351
+ "skipped": 125,
1352
+ "time_spent": [
1353
+ 229.63,
1354
+ 225.82
1355
+ ],
1356
+ "error": false,
1357
+ "failures": {
1358
+ "multi": [
1359
+ {
1360
+ "line": "tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py::Qwen2_5_VLIntegrationTest::test_small_model_integration_test_batch_wo_image_flashatt2",
1361
+ "trace": "(line 731) AssertionError: Lists differ: ['sys[216 chars]in', 'system\\nYou are a helpful assistant.\\nus[166 chars]and'] != ['sys[216 chars]in', \"system\\nYou are a helpful assistant.\\nus[162 chars]ing\"]"
1362
+ }
1363
+ ],
1364
+ "single": [
1365
+ {
1366
+ "line": "tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py::Qwen2_5_VLIntegrationTest::test_small_model_integration_test_batch_wo_image_flashatt2",
1367
+ "trace": "(line 731) AssertionError: Lists differ: ['sys[216 chars]in', 'system\\nYou are a helpful assistant.\\nus[166 chars]and'] != ['sys[216 chars]in', \"system\\nYou are a helpful assistant.\\nus[162 chars]ing\"]"
1368
+ }
1369
+ ]
1370
+ },
1371
+ "job_link": {
1372
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346415",
1373
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346270"
1374
+ },
1375
+ "captured_info": {
1376
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346415#step:16:1",
1377
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346270#step:16:1"
1378
+ }
1379
+ },
1380
+ "models_qwen2_audio": {
1381
+ "failed": {
1382
+ "PyTorch": {
1383
+ "unclassified": 0,
1384
+ "single": 0,
1385
+ "multi": 3
1386
+ },
1387
+ "Tokenizers": {
1388
+ "unclassified": 0,
1389
+ "single": 0,
1390
+ "multi": 0
1391
+ },
1392
+ "Pipelines": {
1393
+ "unclassified": 0,
1394
+ "single": 0,
1395
+ "multi": 0
1396
+ },
1397
+ "Trainer": {
1398
+ "unclassified": 0,
1399
+ "single": 0,
1400
+ "multi": 0
1401
+ },
1402
+ "ONNX": {
1403
+ "unclassified": 0,
1404
+ "single": 0,
1405
+ "multi": 0
1406
+ },
1407
+ "Auto": {
1408
+ "unclassified": 0,
1409
+ "single": 0,
1410
+ "multi": 0
1411
+ },
1412
+ "Quantization": {
1413
+ "unclassified": 0,
1414
+ "single": 0,
1415
+ "multi": 0
1416
+ },
1417
+ "Unclassified": {
1418
+ "unclassified": 0,
1419
+ "single": 0,
1420
+ "multi": 0
1421
+ }
1422
+ },
1423
+ "errors": 0,
1424
+ "success": 326,
1425
+ "skipped": 271,
1426
+ "time_spent": [
1427
+ 154.09,
1428
+ 158.05
1429
+ ],
1430
+ "error": false,
1431
+ "failures": {
1432
+ "multi": [
1433
+ {
1434
+ "line": "tests/models/qwen2_audio/test_modeling_qwen2_audio.py::Qwen2AudioForConditionalGenerationModelTest::test_model_parallel_beam_search",
1435
+ "trace": "(line 748) RuntimeError: indices should be either on cpu or on the same device as the indexed tensor (cuda:1)"
1436
+ },
1437
+ {
1438
+ "line": "tests/models/qwen2_audio/test_modeling_qwen2_audio.py::Qwen2AudioForConditionalGenerationModelTest::test_model_parallelism",
1439
+ "trace": "(line 748) RuntimeError: indices should be either on cpu or on the same device as the indexed tensor (cuda:1)"
1440
+ },
1441
+ {
1442
+ "line": "tests/models/qwen2_audio/test_modeling_qwen2_audio.py::Qwen2AudioForConditionalGenerationModelTest::test_multi_gpu_data_parallel_forward",
1443
+ "trace": "(line 769) StopIteration: Caught StopIteration in replica 1 on device 1."
1444
+ }
1445
+ ]
1446
+ },
1447
+ "job_link": {
1448
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346463",
1449
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346285"
1450
+ },
1451
+ "captured_info": {}
1452
+ },
1453
+ "models_smolvlm": {
1454
+ "failed": {
1455
+ "PyTorch": {
1456
+ "unclassified": 0,
1457
+ "single": 0,
1458
+ "multi": 2
1459
+ },
1460
+ "Tokenizers": {
1461
+ "unclassified": 0,
1462
+ "single": 0,
1463
+ "multi": 0
1464
+ },
1465
+ "Pipelines": {
1466
+ "unclassified": 0,
1467
+ "single": 0,
1468
+ "multi": 0
1469
+ },
1470
+ "Trainer": {
1471
+ "unclassified": 0,
1472
+ "single": 0,
1473
+ "multi": 0
1474
+ },
1475
+ "ONNX": {
1476
+ "unclassified": 0,
1477
+ "single": 0,
1478
+ "multi": 0
1479
+ },
1480
+ "Auto": {
1481
+ "unclassified": 0,
1482
+ "single": 0,
1483
+ "multi": 0
1484
+ },
1485
+ "Quantization": {
1486
+ "unclassified": 0,
1487
+ "single": 0,
1488
+ "multi": 0
1489
+ },
1490
+ "Unclassified": {
1491
+ "unclassified": 0,
1492
+ "single": 0,
1493
+ "multi": 0
1494
+ }
1495
+ },
1496
+ "errors": 0,
1497
+ "success": 667,
1498
+ "skipped": 309,
1499
+ "time_spent": [
1500
+ 127.39,
1501
+ 131.8
1502
+ ],
1503
+ "error": false,
1504
+ "failures": {
1505
+ "multi": [
1506
+ {
1507
+ "line": "tests/models/smolvlm/test_modeling_smolvlm.py::SmolVLMModelTest::test_multi_gpu_data_parallel_forward",
1508
+ "trace": "(line 769) StopIteration: Caught StopIteration in replica 1 on device 1."
1509
+ },
1510
+ {
1511
+ "line": "tests/models/smolvlm/test_modeling_smolvlm.py::SmolVLMForConditionalGenerationModelTest::test_multi_gpu_data_parallel_forward",
1512
+ "trace": "(line 769) StopIteration: Caught StopIteration in replica 1 on device 1."
1513
+ }
1514
+ ]
1515
+ },
1516
+ "job_link": {
1517
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346286",
1518
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346420"
1519
+ },
1520
+ "captured_info": {}
1521
+ },
1522
+ "models_t5": {
1523
+ "failed": {
1524
+ "PyTorch": {
1525
+ "unclassified": 0,
1526
+ "single": 0,
1527
+ "multi": 0
1528
+ },
1529
+ "Tokenizers": {
1530
+ "unclassified": 0,
1531
+ "single": 0,
1532
+ "multi": 0
1533
+ },
1534
+ "Pipelines": {
1535
+ "unclassified": 0,
1536
+ "single": 0,
1537
+ "multi": 0
1538
+ },
1539
+ "Trainer": {
1540
+ "unclassified": 0,
1541
+ "single": 0,
1542
+ "multi": 0
1543
+ },
1544
+ "ONNX": {
1545
+ "unclassified": 0,
1546
+ "single": 0,
1547
+ "multi": 0
1548
+ },
1549
+ "Auto": {
1550
+ "unclassified": 0,
1551
+ "single": 0,
1552
+ "multi": 0
1553
+ },
1554
+ "Quantization": {
1555
+ "unclassified": 0,
1556
+ "single": 0,
1557
+ "multi": 0
1558
+ },
1559
+ "Unclassified": {
1560
+ "unclassified": 0,
1561
+ "single": 0,
1562
+ "multi": 0
1563
+ }
1564
+ },
1565
+ "errors": 0,
1566
+ "success": 521,
1567
+ "skipped": 507,
1568
+ "time_spent": [
1569
+ 167.98,
1570
+ 167.38
1571
+ ],
1572
+ "error": false,
1573
+ "failures": {},
1574
+ "job_link": {
1575
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346282",
1576
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346399"
1577
+ },
1578
+ "captured_info": {}
1579
+ },
1580
+ "models_table_transformer": {
1581
+ "failed": {
1582
+ "PyTorch": {
1583
+ "unclassified": 0,
1584
+ "single": 1,
1585
+ "multi": 1
1586
+ },
1587
+ "Tokenizers": {
1588
+ "unclassified": 0,
1589
+ "single": 0,
1590
+ "multi": 0
1591
+ },
1592
+ "Pipelines": {
1593
+ "unclassified": 0,
1594
+ "single": 0,
1595
+ "multi": 0
1596
+ },
1597
+ "Trainer": {
1598
+ "unclassified": 0,
1599
+ "single": 0,
1600
+ "multi": 0
1601
+ },
1602
+ "ONNX": {
1603
+ "unclassified": 0,
1604
+ "single": 0,
1605
+ "multi": 0
1606
+ },
1607
+ "Auto": {
1608
+ "unclassified": 0,
1609
+ "single": 0,
1610
+ "multi": 0
1611
+ },
1612
+ "Quantization": {
1613
+ "unclassified": 0,
1614
+ "single": 0,
1615
+ "multi": 0
1616
+ },
1617
+ "Unclassified": {
1618
+ "unclassified": 0,
1619
+ "single": 0,
1620
+ "multi": 0
1621
+ }
1622
+ },
1623
+ "errors": 0,
1624
+ "success": 156,
1625
+ "skipped": 238,
1626
+ "time_spent": [
1627
+ 53.86,
1628
+ 50.82
1629
+ ],
1630
+ "error": false,
1631
+ "failures": {
1632
+ "multi": [
1633
+ {
1634
+ "line": "tests/models/table_transformer/test_modeling_table_transformer.py::TableTransformerModelIntegrationTests::test_table_detection",
1635
+ "trace": "(line 554) AssertionError: Tensor-likes are not close!"
1636
+ }
1637
+ ],
1638
+ "single": [
1639
+ {
1640
+ "line": "tests/models/table_transformer/test_modeling_table_transformer.py::TableTransformerModelIntegrationTests::test_table_detection",
1641
+ "trace": "(line 554) AssertionError: Tensor-likes are not close!"
1642
+ }
1643
+ ]
1644
+ },
1645
+ "job_link": {
1646
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346405",
1647
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346302"
1648
+ },
1649
+ "captured_info": {
1650
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346405#step:16:1",
1651
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346302#step:16:1"
1652
+ }
1653
+ },
1654
+ "models_vit": {
1655
+ "failed": {
1656
+ "PyTorch": {
1657
+ "unclassified": 0,
1658
+ "single": 0,
1659
+ "multi": 0
1660
+ },
1661
+ "Tokenizers": {
1662
+ "unclassified": 0,
1663
+ "single": 0,
1664
+ "multi": 0
1665
+ },
1666
+ "Pipelines": {
1667
+ "unclassified": 0,
1668
+ "single": 0,
1669
+ "multi": 0
1670
+ },
1671
+ "Trainer": {
1672
+ "unclassified": 0,
1673
+ "single": 0,
1674
+ "multi": 0
1675
+ },
1676
+ "ONNX": {
1677
+ "unclassified": 0,
1678
+ "single": 0,
1679
+ "multi": 0
1680
+ },
1681
+ "Auto": {
1682
+ "unclassified": 0,
1683
+ "single": 0,
1684
+ "multi": 0
1685
+ },
1686
+ "Quantization": {
1687
+ "unclassified": 0,
1688
+ "single": 0,
1689
+ "multi": 0
1690
+ },
1691
+ "Unclassified": {
1692
+ "unclassified": 0,
1693
+ "single": 0,
1694
+ "multi": 0
1695
+ }
1696
+ },
1697
+ "errors": 0,
1698
+ "success": 263,
1699
+ "skipped": 171,
1700
+ "time_spent": [
1701
+ 61.25,
1702
+ 64.24
1703
+ ],
1704
+ "error": false,
1705
+ "failures": {},
1706
+ "job_link": {
1707
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346311",
1708
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346414"
1709
+ },
1710
+ "captured_info": {}
1711
+ },
1712
+ "models_wav2vec2": {
1713
+ "failed": {
1714
+ "PyTorch": {
1715
+ "unclassified": 0,
1716
+ "single": 0,
1717
+ "multi": 0
1718
+ },
1719
+ "Tokenizers": {
1720
+ "unclassified": 0,
1721
+ "single": 0,
1722
+ "multi": 0
1723
+ },
1724
+ "Pipelines": {
1725
+ "unclassified": 0,
1726
+ "single": 0,
1727
+ "multi": 0
1728
+ },
1729
+ "Trainer": {
1730
+ "unclassified": 0,
1731
+ "single": 0,
1732
+ "multi": 0
1733
+ },
1734
+ "ONNX": {
1735
+ "unclassified": 0,
1736
+ "single": 0,
1737
+ "multi": 0
1738
+ },
1739
+ "Auto": {
1740
+ "unclassified": 0,
1741
+ "single": 0,
1742
+ "multi": 0
1743
+ },
1744
+ "Quantization": {
1745
+ "unclassified": 0,
1746
+ "single": 0,
1747
+ "multi": 0
1748
+ },
1749
+ "Unclassified": {
1750
+ "unclassified": 0,
1751
+ "single": 0,
1752
+ "multi": 0
1753
+ }
1754
+ },
1755
+ "errors": 0,
1756
+ "success": 0,
1757
+ "skipped": 0,
1758
+ "time_spent": [
1759
+ 5.56,
1760
+ 5.53
1761
+ ],
1762
+ "error": false,
1763
+ "failures": {},
1764
+ "job_link": {
1765
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346421",
1766
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346287"
1767
+ },
1768
+ "captured_info": {}
1769
+ },
1770
+ "models_whisper": {
1771
+ "failed": {
1772
+ "PyTorch": {
1773
+ "unclassified": 0,
1774
+ "single": 0,
1775
+ "multi": 0
1776
+ },
1777
+ "Tokenizers": {
1778
+ "unclassified": 0,
1779
+ "single": 0,
1780
+ "multi": 0
1781
+ },
1782
+ "Pipelines": {
1783
+ "unclassified": 0,
1784
+ "single": 0,
1785
+ "multi": 0
1786
+ },
1787
+ "Trainer": {
1788
+ "unclassified": 0,
1789
+ "single": 0,
1790
+ "multi": 0
1791
+ },
1792
+ "ONNX": {
1793
+ "unclassified": 0,
1794
+ "single": 0,
1795
+ "multi": 0
1796
+ },
1797
+ "Auto": {
1798
+ "unclassified": 0,
1799
+ "single": 0,
1800
+ "multi": 0
1801
+ },
1802
+ "Quantization": {
1803
+ "unclassified": 0,
1804
+ "single": 0,
1805
+ "multi": 0
1806
+ },
1807
+ "Unclassified": {
1808
+ "unclassified": 0,
1809
+ "single": 0,
1810
+ "multi": 0
1811
+ }
1812
+ },
1813
+ "errors": 0,
1814
+ "success": 0,
1815
+ "skipped": 0,
1816
+ "time_spent": [
1817
+ 5.68,
1818
+ 5.6
1819
+ ],
1820
+ "error": false,
1821
+ "failures": {},
1822
+ "job_link": {
1823
+ "single": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346336",
1824
+ "multi": "https://github.com/huggingface/transformers/actions/runs/25782470909/job/75728346418"
1825
+ },
1826
+ "captured_info": {}
1827
+ }
1828
+ }