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513
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514
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516
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517
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518
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519
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520
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592
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593
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594
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596
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597
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599
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600
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601
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602
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603
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604
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605
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606
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607
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608
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609
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610
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612
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675
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678
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679
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682
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683
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688
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702
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703
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707
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708
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710
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712
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713
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714
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715
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717
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718
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719
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720
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721
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722
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723
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724
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725
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726
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727
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728
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729
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730
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731
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732
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733
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734
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737
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738
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739
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740
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741
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742
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743
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744
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745
+ },
746
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747
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748
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749
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750
+ ],
751
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752
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753
+ "line": "tests/models/mistral3/test_modeling_mistral3.py::Mistral3IntegrationTest::test_mistral3_integration_batched_generate",
754
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755
+ },
756
+ {
757
+ "line": "tests/models/mistral3/test_modeling_mistral3.py::Mistral3IntegrationTest::test_mistral3_integration_batched_generate_multi_image",
758
+ "trace": "(line 675) AssertionError: \"Calm waters reflect\\nWooden path to distant shore\\nPeace in nature's hold\" != 'Calm waters reflect\\nWooden path to distant shore\\nSilence in the scene'"
759
+ }
760
+ ]
761
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762
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763
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764
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765
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766
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767
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768
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769
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770
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771
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772
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773
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774
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775
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782
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785
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789
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790
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792
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793
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794
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795
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796
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797
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798
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799
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800
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801
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802
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803
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804
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805
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806
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807
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809
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810
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811
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812
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813
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814
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815
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816
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817
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818
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819
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820
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821
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822
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823
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824
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825
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826
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827
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828
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829
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830
+ "line": "tests/models/modernbert/test_modeling_modernbert.py::ModernBertModelTest::test_flash_attn_2_inference_equivalence",
831
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832
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833
+ ],
834
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835
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836
+ "line": "tests/models/modernbert/test_modeling_modernbert.py::ModernBertModelTest::test_flash_attn_2_inference_equivalence",
837
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838
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839
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840
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841
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842
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843
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844
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845
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846
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847
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848
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849
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850
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851
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852
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853
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854
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855
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858
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859
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860
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861
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863
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864
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865
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866
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867
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868
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869
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870
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872
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873
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874
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875
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876
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877
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878
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879
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880
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881
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882
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883
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884
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885
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886
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887
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888
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889
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890
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891
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892
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893
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894
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895
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896
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897
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898
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899
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900
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901
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902
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903
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904
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905
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906
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907
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908
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909
+ "line": "tests/models/qwen2/test_modeling_qwen2.py::Qwen2IntegrationTest::test_3b_generation",
910
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911
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912
+ ],
913
+ "single": [
914
+ {
915
+ "line": "tests/models/qwen2/test_modeling_qwen2.py::Qwen2IntegrationTest::test_3b_generation",
916
+ "trace": "(line 83) torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.16 GiB. GPU 0 has a total capacity of 22.18 GiB of which 238.50 MiB is free. Process 18163 has 21.95 GiB memory in use. Of the allocated memory 21.55 GiB is allocated by PyTorch, and 21.23 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)"
917
+ }
918
+ ]
919
+ },
920
+ "job_link": {
921
+ "multi": "https://github.com/huggingface/transformers/actions/runs/17231951358/job/48888344909",
922
+ "single": "https://github.com/huggingface/transformers/actions/runs/17231951358/job/48888344771"
923
+ }
924
+ },
925
+ "models_qwen2_5_omni": {
926
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927
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928
+ "unclassified": 0,
929
+ "single": 3,
930
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931
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932
+ "TensorFlow": {
933
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934
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935
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936
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937
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938
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939
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940
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941
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942
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943
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944
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945
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947
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948
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950
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952
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953
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954
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955
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956
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957
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958
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960
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961
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962
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963
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965
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967
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968
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970
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971
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972
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973
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974
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975
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976
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977
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978
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979
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980
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981
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982
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983
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984
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985
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986
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987
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988
+ "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniThinkerForConditionalGenerationModelTest::test_flash_attn_2_inference_equivalence",
989
+ "trace": "(line 1052) RuntimeError: split_with_sizes expects split_sizes to sum exactly to 16 (input tensor's size at dimension -1), but got split_sizes=[1, 1, 2, 1, 1, 2]"
990
+ },
991
+ {
992
+ "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniThinkerForConditionalGenerationModelTest::test_flash_attn_2_inference_equivalence_right_padding",
993
+ "trace": "(line 1052) RuntimeError: split_with_sizes expects split_sizes to sum exactly to 16 (input tensor's size at dimension -1), but got split_sizes=[1, 1, 2, 1, 1, 2]"
994
+ },
995
+ {
996
+ "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test_batch_flashatt2",
997
+ "trace": "(line 675) AssertionError: Lists differ: [\"sys[139 chars] dog is a Labrador Retriever.\", \"system\\nYou a[155 chars]er.\"] != [\"sys[139 chars] dog appears to be a Labrador Retriever.\", \"sy[177 chars]er.\"]"
998
+ },
999
+ {
1000
+ "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test_multiturn",
1001
+ "trace": "(line 868) torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 20.00 MiB. GPU 1 has a total capacity of 22.18 GiB of which 16.50 MiB is free. Process 22400 has 22.16 GiB memory in use. Of the allocated memory 21.72 GiB is allocated by PyTorch, and 28.05 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)"
1002
+ },
1003
+ {
1004
+ "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test_w_audio",
1005
+ "trace": "(line 199) torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 20.00 MiB. GPU 1 has a total capacity of 22.18 GiB of which 18.50 MiB is free. Process 22400 has 22.16 GiB memory in use. Of the allocated memory 21.73 GiB is allocated by PyTorch, and 16.33 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)"
1006
+ }
1007
+ ],
1008
+ "single": [
1009
+ {
1010
+ "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniThinkerForConditionalGenerationModelTest::test_flash_attn_2_inference_equivalence",
1011
+ "trace": "(line 1052) RuntimeError: split_with_sizes expects split_sizes to sum exactly to 16 (input tensor's size at dimension -1), but got split_sizes=[1, 1, 2, 1, 1, 2]"
1012
+ },
1013
+ {
1014
+ "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniThinkerForConditionalGenerationModelTest::test_flash_attn_2_inference_equivalence_right_padding",
1015
+ "trace": "(line 1052) RuntimeError: split_with_sizes expects split_sizes to sum exactly to 16 (input tensor's size at dimension -1), but got split_sizes=[1, 1, 2, 1, 1, 2]"
1016
+ },
1017
+ {
1018
+ "line": "tests/models/qwen2_5_omni/test_modeling_qwen2_5_omni.py::Qwen2_5OmniModelIntegrationTest::test_small_model_integration_test_batch_flashatt2",
1019
+ "trace": "(line 675) AssertionError: Lists differ: [\"sys[139 chars] dog is a Labrador Retriever.\", \"system\\nYou a[155 chars]er.\"] != [\"sys[139 chars] dog appears to be a Labrador Retriever.\", \"sy[177 chars]er.\"]"
1020
+ }
1021
+ ]
1022
+ },
1023
+ "job_link": {
1024
+ "multi": "https://github.com/huggingface/transformers/actions/runs/17231951358/job/48888344876",
1025
+ "single": "https://github.com/huggingface/transformers/actions/runs/17231951358/job/48888344779"
1026
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1027
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1028
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1029
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1030
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1031
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1032
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1033
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1034
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1035
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1036
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1037
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1038
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1039
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1040
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1041
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1042
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1043
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1044
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1045
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1046
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1047
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1048
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1049
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1050
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1051
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1052
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1054
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1055
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1056
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1058
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1059
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1060
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1061
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1062
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1063
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1064
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1065
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1066
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1067
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1068
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1069
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1070
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1071
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1072
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1073
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1074
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1075
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1076
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1077
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1079
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1080
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1081
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1082
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1084
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1085
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1086
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1087
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1088
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1089
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1090
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1091
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1092
+ "trace": "(line 1052) RuntimeError: split_with_sizes expects split_sizes to sum exactly to 16 (input tensor's size at dimension -1), but got split_sizes=[2, 1, 1, 2, 1, 1]"
1093
+ },
1094
+ {
1095
+ "line": "tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py::Qwen2_5_VLModelTest::test_flash_attn_2_inference_equivalence_right_padding",
1096
+ "trace": "(line 1052) RuntimeError: split_with_sizes expects split_sizes to sum exactly to 16 (input tensor's size at dimension -1), but got split_sizes=[2, 1, 1, 2, 1, 1]"
1097
+ },
1098
+ {
1099
+ "line": "tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py::Qwen2_5_VLIntegrationTest::test_small_model_integration_test_batch_flashatt2",
1100
+ "trace": "(line 675) AssertionError: Lists differ: ['sys[176 chars] and energetic nature, which is evident in', '[218 chars] in'] != ['sys[176 chars] and intelligent nature, making them popular p[232 chars]ets']"
1101
+ },
1102
+ {
1103
+ "line": "tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py::Qwen2_5_VLIntegrationTest::test_small_model_integration_test_batch_wo_image_flashatt2",
1104
+ "trace": "(line 675) AssertionError: Lists differ: ['sys[176 chars] and energetic nature, which is evident in', '[69 chars]aks'] != ['sys[176 chars] and intelligent nature, making them popular p[224 chars]ics']"
1105
+ }
1106
+ ],
1107
+ "single": [
1108
+ {
1109
+ "line": "tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py::Qwen2_5_VLModelTest::test_flash_attn_2_inference_equivalence",
1110
+ "trace": "(line 1052) RuntimeError: split_with_sizes expects split_sizes to sum exactly to 16 (input tensor's size at dimension -1), but got split_sizes=[2, 1, 1, 2, 1, 1]"
1111
+ },
1112
+ {
1113
+ "line": "tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py::Qwen2_5_VLModelTest::test_flash_attn_2_inference_equivalence_right_padding",
1114
+ "trace": "(line 1052) RuntimeError: split_with_sizes expects split_sizes to sum exactly to 16 (input tensor's size at dimension -1), but got split_sizes=[2, 1, 1, 2, 1, 1]"
1115
+ },
1116
+ {
1117
+ "line": "tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py::Qwen2_5_VLIntegrationTest::test_small_model_integration_test_batch_flashatt2",
1118
+ "trace": "(line 675) AssertionError: Lists differ: ['sys[176 chars] and energetic nature, which is evident in', '[218 chars] in'] != ['sys[176 chars] and intelligent nature, making them popular p[232 chars]ets']"
1119
+ },
1120
+ {
1121
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1122
+ "trace": "(line 675) AssertionError: Lists differ: ['sys[176 chars] and energetic nature, which is evident in', '[69 chars]aks'] != ['sys[176 chars] and intelligent nature, making them popular p[224 chars]ics']"
1123
+ }
1124
+ ]
1125
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1126
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1127
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1128
+ "single": "https://github.com/huggingface/transformers/actions/runs/17231951358/job/48888344798"
1129
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1130
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1131
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1132
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1133
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1134
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1135
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1136
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1137
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1138
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1139
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1140
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1141
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1142
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1143
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1144
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1145
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1146
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1147
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1148
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1149
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1150
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1151
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1152
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1153
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1154
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1155
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1156
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1157
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1158
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1159
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1160
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1161
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1162
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1163
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1164
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1165
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1166
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1167
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1168
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1169
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1170
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1171
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1172
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1173
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1174
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1175
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1176
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1177
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1178
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1179
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1180
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1181
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1182
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1183
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1184
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1186
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1187
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1188
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1189
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1190
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1191
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1192
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1193
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1194
+ "trace": "(line 165) RuntimeError: cu_seqlens_q must have shape (batch_size + 1)"
1195
+ },
1196
+ {
1197
+ "line": "tests/models/qwen2_audio/test_modeling_qwen2_audio.py::Qwen2AudioForConditionalGenerationIntegrationTest::test_small_model_integration_test_batch",
1198
+ "trace": "(line 675) AssertionError: Lists differ: [\"sys[164 chars]ant\\nI can hear the sound of glass shattering.[155 chars]n.\"'] != [\"sys[164 chars]ant\\ncough and throat clearing.\", \"system\\nYou[210 chars]l.'\"]"
1199
+ },
1200
+ {
1201
+ "line": "tests/models/qwen2_audio/test_modeling_qwen2_audio.py::Qwen2AudioForConditionalGenerationIntegrationTest::test_small_model_integration_test_multiturn",
1202
+ "trace": "(line 675) AssertionError: Lists differ: [\"sys[146 chars]t this one?\\nassistant\\nThis is the sound of liquid dripping.\"] != [\"sys[146 chars]t this one?\\nassistant\\nThroat clearing.\"]"
1203
+ },
1204
+ {
1205
+ "line": "tests/models/qwen2_audio/test_modeling_qwen2_audio.py::Qwen2AudioForConditionalGenerationIntegrationTest::test_small_model_integration_test_single",
1206
+ "trace": "(line 687) AssertionError: False is not true"
1207
+ },
1208
+ {
1209
+ "line": "tests/models/qwen2_audio/test_processing_qwen2_audio.py::Qwen2AudioProcessorTest::test_model_input_names",
1210
+ "trace": "(line 120) ValueError: Found 0 <|AUDIO|> token in provided text but received 1 audio"
1211
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1212
+ ]
1213
+ },
1214
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1215
+ "multi": "https://github.com/huggingface/transformers/actions/runs/17231951358/job/48888344857"
1216
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1217
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1218
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1219
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1220
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1221
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1222
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1223
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1224
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1225
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1226
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1227
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1228
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1229
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1230
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1231
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1232
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1233
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1234
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1235
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1236
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1237
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1238
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1239
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1240
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1241
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1242
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1243
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1244
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1245
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1246
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1247
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1248
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1249
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1250
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1251
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1252
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1253
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1254
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1255
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1256
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1257
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1258
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1259
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1260
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1261
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1262
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1263
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1264
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1265
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1266
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1267
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1268
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1269
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1270
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1271
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1272
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1273
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1274
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1275
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1276
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1277
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1278
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1279
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1280
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1281
+ "line": "tests/models/smolvlm/test_modeling_smolvlm.py::SmolVLMForConditionalGenerationIntegrationTest::test_integration_test_video",
1282
+ "trace": "(line 675) AssertionError: 'User[310 chars]ideo depicts a large language model architectu[58 chars]ture' != 'User[310 chars]ideo showcases a large language model, specifi[56 chars] and'"
1283
+ }
1284
+ ],
1285
+ "single": [
1286
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1287
+ "line": "tests/models/smolvlm/test_modeling_smolvlm.py::SmolVLMForConditionalGenerationIntegrationTest::test_integration_test_video",
1288
+ "trace": "(line 675) AssertionError: 'User[310 chars]ideo depicts a large language model architectu[58 chars]ture' != 'User[310 chars]ideo showcases a large language model, specifi[56 chars] and'"
1289
+ }
1290
+ ]
1291
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1292
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1293
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1294
+ "single": "https://github.com/huggingface/transformers/actions/runs/17231951358/job/48888344843"
1295
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1296
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1297
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1298
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1299
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1300
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1301
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1302
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1303
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1304
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1305
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1306
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1307
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1308
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1309
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1310
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1311
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1312
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1313
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1314
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1315
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1316
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1317
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1318
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1319
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1320
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1321
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1322
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1323
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1324
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1325
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1326
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1327
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1328
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1329
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1330
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1331
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1332
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1334
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1335
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1336
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1337
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1338
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1339
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1340
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1341
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1342
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1343
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1344
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1345
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1348
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1349
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1350
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1351
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1352
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1354
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1355
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1356
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1357
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1358
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1359
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1360
+ "multi": "https://github.com/huggingface/transformers/actions/runs/17231951358/job/48888344861"
1361
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1362
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1363
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1364
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1365
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1366
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1367
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1368
+ "multi": 1
1369
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1370
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1371
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1372
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1373
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1374
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1375
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1376
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1377
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1378
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1379
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1380
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1381
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1382
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1383
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1384
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1385
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1386
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1387
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1388
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1389
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1390
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1391
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1392
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1393
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1394
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1395
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1396
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1397
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1398
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1399
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1400
+ "Auto": {
1401
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1402
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1403
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1404
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1405
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1406
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1407
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1408
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1409
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1410
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1411
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1412
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1413
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1414
+ }
1415
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1416
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1417
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1418
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1419
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1420
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1421
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1422
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1423
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1424
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1425
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1426
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1427
+ "trace": "(line 598) AssertionError: Tensor-likes are not close!"
1428
+ }
1429
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1430
+ "single": [
1431
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1432
+ "line": "tests/models/table_transformer/test_modeling_table_transformer.py::TableTransformerModelIntegrationTests::test_table_detection",
1433
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1434
+ }
1435
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1436
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1437
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1438
+ "multi": "https://github.com/huggingface/transformers/actions/runs/17231951358/job/48888344891",
1439
+ "single": "https://github.com/huggingface/transformers/actions/runs/17231951358/job/48888344896"
1440
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1441
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1442
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1443
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1444
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1445
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1446
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1447
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1448
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1449
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1450
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1451
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1452
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1453
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1454
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1455
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1456
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1457
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1458
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1459
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1461
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1462
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1463
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1464
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1466
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1467
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1468
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1469
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1470
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1471
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1472
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1473
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1474
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1475
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1477
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1478
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1479
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1480
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1481
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1482
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1483
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1484
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1485
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1486
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1487
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1488
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1489
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1490
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1491
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1492
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1493
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1494
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1495
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1496
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1497
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1498
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1499
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1500
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1501
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1502
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1503
+ {
1504
+ "line": "tests/models/wav2vec2/test_modeling_wav2vec2.py::Wav2Vec2ModelIntegrationTest::test_inference_mms_1b_all",
1505
+ "trace": "(line 829) RuntimeError: The frame has 0 channels, expected 1. If you are hitting this, it may be because you are using a buggy FFmpeg version. FFmpeg4 is known to fail here in some valid scenarios. Try to upgrade FFmpeg?"
1506
+ }
1507
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1508
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1509
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1510
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1511
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1512
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1513
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