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  1. .config/.last_opt_in_prompt.yaml +1 -0
  2. .config/.last_survey_prompt.yaml +1 -0
  3. .config/.last_update_check.json +1 -0
  4. .config/active_config +1 -0
  5. .config/config_sentinel +0 -0
  6. .config/configurations/config_default +6 -0
  7. .config/default_configs.db +0 -0
  8. .config/gce +1 -0
  9. .config/hidden_gcloud_config_universe_descriptor_data_cache_configs.db +0 -0
  10. .config/logs/2025.07.16/13.46.49.213464.log +765 -0
  11. .config/logs/2025.07.16/13.47.19.800388.log +5 -0
  12. .config/logs/2025.07.16/13.47.31.634017.log +153 -0
  13. .config/logs/2025.07.16/13.47.36.852800.log +5 -0
  14. .config/logs/2025.07.16/13.47.48.882615.log +8 -0
  15. .config/logs/2025.07.16/13.47.49.863054.log +8 -0
  16. .gitattributes +2 -0
  17. LICENSE +91 -0
  18. README.md +276 -0
  19. config.json +59 -0
  20. configuration_deepseek.py +206 -0
  21. generation_config.json +9 -0
  22. model-00001-of-000004.safetensors +3 -0
  23. model-00002-of-000004.safetensors +3 -0
  24. model-00003-of-000004.safetensors +3 -0
  25. model-00004-of-000004.safetensors +3 -0
  26. model.safetensors.index.json +0 -0
  27. sample_data/README.md +19 -0
  28. sample_data/anscombe.json +49 -0
  29. sample_data/california_housing_test.csv +0 -0
  30. sample_data/california_housing_train.csv +0 -0
  31. sample_data/mnist_test.csv +3 -0
  32. sample_data/mnist_train_small.csv +3 -0
  33. tokenization_deepseek_fast.py +38 -0
  34. tokenizer.json +0 -0
  35. tokenizer_config.json +35 -0
.config/.last_opt_in_prompt.yaml ADDED
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+ 2025-07-16 13:47:05,778 INFO ___FILE_ONLY___ ╠═ Downloading: Bundled Python 3.12 (Platform Specific) ═╣
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+ 2025-07-16 13:47:06,753 DEBUG urllib3.connectionpool https://dl.google.com:443 "GET /dl/cloudsdk/channels/rapid/components/google-cloud-sdk-bundled-python3-unix-linux-x86_64-20250502143716.tar.gz HTTP/11" 200 93610468
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+ 2025-07-16 13:47:07,318 INFO ___FILE_ONLY___ ╠═ Downloading: Cloud Storage Command Line Tool ═╣
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+ 2025-07-16 13:47:08,261 DEBUG urllib3.connectionpool https://dl.google.com:443 "GET /dl/cloudsdk/channels/rapid/components/google-cloud-sdk-gsutil-20250627154417.tar.gz HTTP/11" 200 12962791
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+ 2025-07-16 13:47:08,344 INFO ___FILE_ONLY___ ╠═ Downloading: Cloud Storage Command Line Tool (Platfor... ═╣
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+ 2025-07-16 13:47:08,512 DEBUG urllib3.connectionpool https://dl.google.com:443 "GET /dl/cloudsdk/channels/rapid/components/google-cloud-sdk-gsutil-nix-20250523104322.tar.gz HTTP/11" 200 1950
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+
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+ 2025-07-16 13:47:08,518 INFO ___FILE_ONLY___ ╠═ Downloading: Google Cloud CLI Core Libraries (Platfor... ═╣
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394
+ 2025-07-16 13:47:09,452 DEBUG urllib3.connectionpool https://dl.google.com:443 "GET /dl/cloudsdk/channels/rapid/components/google-cloud-sdk-core-nix-20250523104322.tar.gz HTTP/11" 200 2325
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+
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+ 2025-07-16 13:47:09,458 INFO ___FILE_ONLY___ ╠═ Downloading: Google Cloud CRC32C Hash Tool (Platform ... ═╣
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+ 2025-07-16 13:47:10,388 DEBUG urllib3.connectionpool https://dl.google.com:443 "GET /dl/cloudsdk/channels/rapid/components/google-cloud-sdk-gcloud-crc32c-linux-x86_64-20250613150750.tar.gz HTTP/11" 200 1525557
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+ 2025-07-16 13:47:10,406 INFO ___FILE_ONLY___ ═
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+ 2025-07-16 13:47:10,406 INFO ___FILE_ONLY___ ═
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+ 2025-07-16 13:47:10,406 INFO ___FILE_ONLY___ ═
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+ 2025-07-16 13:47:10,407 INFO ___FILE_ONLY___ ═
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+ 2025-07-16 13:47:10,407 INFO ___FILE_ONLY___ ═
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+ 2025-07-16 13:47:10,407 INFO ___FILE_ONLY___ ═
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+ 2025-07-16 13:47:10,407 INFO ___FILE_ONLY___ ═
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+ 2025-07-16 13:47:10,407 INFO ___FILE_ONLY___ ═
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+ 2025-07-16 13:47:10,407 INFO ___FILE_ONLY___ ╝
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+
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+ 2025-07-16 13:47:10,410 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
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+ 2025-07-16 13:47:10,410 INFO ___FILE_ONLY___ ╠═ Downloading: gcloud cli dependencies (Platform Specific) ═╣
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+ 2025-07-16 13:47:10,410 INFO ___FILE_ONLY___ ╚
480
+ 2025-07-16 13:47:10,414 DEBUG urllib3.connectionpool Starting new HTTPS connection (1): dl.google.com:443
481
+ 2025-07-16 13:47:11,415 DEBUG urllib3.connectionpool https://dl.google.com:443 "GET /dl/cloudsdk/channels/rapid/components/google-cloud-sdk-gcloud-deps-linux-x86_64-20210416153011.tar.gz HTTP/11" 200 104
482
+ 2025-07-16 13:47:11,416 INFO ___FILE_ONLY___ ════════════════════════════════════════════════════════════
483
+ 2025-07-16 13:47:11,416 INFO ___FILE_ONLY___ ╝
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+
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+ 2025-07-16 13:47:11,419 INFO ___FILE_ONLY___ ╠═ Installing: BigQuery Command Line Tool ═╣
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508
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509
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510
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511
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513
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515
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517
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520
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522
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524
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525
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526
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528
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529
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530
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531
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532
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533
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534
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535
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536
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537
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538
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539
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540
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541
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542
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543
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544
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545
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546
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547
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548
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549
+ 2025-07-16 13:47:11,708 INFO ___FILE_ONLY___ ═
550
+ 2025-07-16 13:47:11,708 INFO ___FILE_ONLY___ ╝
551
+
552
+ 2025-07-16 13:47:11,719 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
553
+
554
+ 2025-07-16 13:47:11,719 INFO ___FILE_ONLY___ ╠═ Installing: BigQuery Command Line Tool (Platform Spec... ═╣
555
+
556
+ 2025-07-16 13:47:11,719 INFO ___FILE_ONLY___ ╚
557
+ 2025-07-16 13:47:11,720 INFO ___FILE_ONLY___ ════════════════════════════════════════════════════════════
558
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559
+
560
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561
+
562
+ 2025-07-16 13:47:11,728 INFO ___FILE_ONLY___ ╠═ Installing: Bundled Python 3.12 ═╣
563
+
564
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565
+ 2025-07-16 13:47:11,732 INFO ___FILE_ONLY___ ════════════════════════════════════════════════════════════
566
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567
+
568
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569
+
570
+ 2025-07-16 13:47:11,735 INFO ___FILE_ONLY___ ╠═ Installing: Bundled Python 3.12 (Platform Specific) ═╣
571
+
572
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573
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574
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575
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576
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577
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578
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579
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580
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582
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583
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588
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589
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590
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591
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592
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593
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594
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595
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596
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597
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598
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599
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600
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601
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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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611
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612
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613
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614
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615
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616
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617
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618
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619
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620
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621
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622
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623
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624
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625
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626
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627
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628
+ 2025-07-16 13:47:16,833 INFO ___FILE_ONLY___ ═
629
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630
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631
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632
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633
+ 2025-07-16 13:47:17,454 INFO ___FILE_ONLY___ ╝
634
+
635
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636
+
637
+ 2025-07-16 13:47:17,512 INFO ___FILE_ONLY___ ╠═ Installing: Cloud Storage Command Line Tool ═╣
638
+
639
+ 2025-07-16 13:47:17,512 INFO ___FILE_ONLY___ ╚
640
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641
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642
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644
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645
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648
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649
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650
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651
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657
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658
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659
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660
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661
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664
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665
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668
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669
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670
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677
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678
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679
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680
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681
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682
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683
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684
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685
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686
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687
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688
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689
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690
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691
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692
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693
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694
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695
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696
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697
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698
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699
+ 2025-07-16 13:47:19,062 INFO ___FILE_ONLY___ ═
700
+ 2025-07-16 13:47:19,062 INFO ___FILE_ONLY___ ╝
701
+
702
+ 2025-07-16 13:47:19,097 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
703
+
704
+ 2025-07-16 13:47:19,097 INFO ___FILE_ONLY___ ╠═ Installing: Cloud Storage Command Line Tool (Platform... ═╣
705
+
706
+ 2025-07-16 13:47:19,097 INFO ___FILE_ONLY___ ╚
707
+ 2025-07-16 13:47:19,098 INFO ___FILE_ONLY___ ════════════════════════════════════════════════════════════
708
+ 2025-07-16 13:47:19,098 INFO ___FILE_ONLY___ ╝
709
+
710
+ 2025-07-16 13:47:19,105 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
711
+
712
+ 2025-07-16 13:47:19,105 INFO ___FILE_ONLY___ ╠═ Installing: Default set of gcloud commands ═╣
713
+
714
+ 2025-07-16 13:47:19,105 INFO ___FILE_ONLY___ ╚
715
+ 2025-07-16 13:47:19,109 INFO ___FILE_ONLY___ ════════════════════════════════════════════════════════════
716
+ 2025-07-16 13:47:19,109 INFO ___FILE_ONLY___ ╝
717
+
718
+ 2025-07-16 13:47:19,112 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
719
+
720
+ 2025-07-16 13:47:19,112 INFO ___FILE_ONLY___ ╠═ Installing: Google Cloud CLI Core Libraries (Platform... ═╣
721
+
722
+ 2025-07-16 13:47:19,112 INFO ___FILE_ONLY___ ╚
723
+ 2025-07-16 13:47:19,113 INFO ___FILE_ONLY___ ══════════════════════════════
724
+ 2025-07-16 13:47:19,113 INFO ___FILE_ONLY___ ══════════════════════════════
725
+ 2025-07-16 13:47:19,113 INFO ___FILE_ONLY___ ╝
726
+
727
+ 2025-07-16 13:47:19,119 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
728
+
729
+ 2025-07-16 13:47:19,120 INFO ___FILE_ONLY___ ╠═ Installing: Google Cloud CRC32C Hash Tool ═╣
730
+
731
+ 2025-07-16 13:47:19,120 INFO ___FILE_ONLY___ ╚
732
+ 2025-07-16 13:47:19,124 INFO ___FILE_ONLY___ ════════════════════════════════════════════════════════════
733
+ 2025-07-16 13:47:19,124 INFO ___FILE_ONLY___ ╝
734
+
735
+ 2025-07-16 13:47:19,126 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
736
+
737
+ 2025-07-16 13:47:19,126 INFO ___FILE_ONLY___ ╠═ Installing: Google Cloud CRC32C Hash Tool (Platform S... ═╣
738
+
739
+ 2025-07-16 13:47:19,126 INFO ___FILE_ONLY___ ╚
740
+ 2025-07-16 13:47:19,170 INFO ___FILE_ONLY___ ══════════════════════════════
741
+ 2025-07-16 13:47:19,171 INFO ___FILE_ONLY___ ══════════════════════════════
742
+ 2025-07-16 13:47:19,171 INFO ___FILE_ONLY___ ╝
743
+
744
+ 2025-07-16 13:47:19,177 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
745
+
746
+ 2025-07-16 13:47:19,178 INFO ___FILE_ONLY___ ╠═ Installing: gcloud cli dependencies (Platform Specific) ═╣
747
+
748
+ 2025-07-16 13:47:19,178 INFO ___FILE_ONLY___ ╚
749
+ 2025-07-16 13:47:19,178 INFO ___FILE_ONLY___ ════════════════════════════════════════════════════════════
750
+ 2025-07-16 13:47:19,178 INFO ___FILE_ONLY___ ╝
751
+
752
+ 2025-07-16 13:47:19,185 DEBUG root Updating notification cache...
753
+ 2025-07-16 13:47:19,186 INFO ___FILE_ONLY___
754
+
755
+ 2025-07-16 13:47:19,188 INFO ___FILE_ONLY___ Performing post processing steps...
756
+ 2025-07-16 13:47:19,189 DEBUG root Executing command: ['/tools/google-cloud-sdk/bin/gcloud', 'components', 'post-process']
757
+ 2025-07-16 13:47:30,643 DEBUG ___FILE_ONLY___
758
+ 2025-07-16 13:47:30,644 DEBUG ___FILE_ONLY___
759
+ 2025-07-16 13:47:30,712 INFO root descriptor_list: [{'universeDomain': 'googleapis.com', 'universeShortName': '', 'authenticationDomain': 'auth.cloud.google.com', 'projectPrefix': '', 'cloudWebDomain': 'cloud.google.com', 'documentationDomain': 'cloud.google.com', 'version': '1.0.0', 'state': 'primary', 'artifactRegistryDomain': 'pkg.dev'}]
760
+ 2025-07-16 13:47:30,713 INFO ___FILE_ONLY___
761
+ Update done!
762
+
763
+
764
+ 2025-07-16 13:47:30,716 DEBUG root Chosen display Format:none
765
+ 2025-07-16 13:47:30,716 INFO root Display format: "none"
.config/logs/2025.07.16/13.47.19.800388.log ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ 2025-07-16 13:47:19,801 DEBUG root Loaded Command Group: ['gcloud', 'components']
2
+ 2025-07-16 13:47:19,804 DEBUG root Loaded Command Group: ['gcloud', 'components', 'post_process']
3
+ 2025-07-16 13:47:19,806 DEBUG root Running [gcloud.components.post-process] with arguments: []
4
+ 2025-07-16 13:47:30,407 DEBUG root Chosen display Format:none
5
+ 2025-07-16 13:47:30,407 INFO root Display format: "none"
.config/logs/2025.07.16/13.47.31.634017.log ADDED
@@ -0,0 +1,153 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 2025-07-16 13:47:31,635 DEBUG root Loaded Command Group: ['gcloud', 'components']
2
+ 2025-07-16 13:47:31,638 DEBUG root Loaded Command Group: ['gcloud', 'components', 'update']
3
+ 2025-07-16 13:47:31,641 DEBUG root Running [gcloud.components.update] with arguments: [--quiet: "True", COMPONENT-IDS:8: "['gcloud', 'core', 'bq', 'gsutil', 'compute', 'preview', 'alpha', 'beta']"]
4
+ 2025-07-16 13:47:31,642 INFO ___FILE_ONLY___ Beginning update. This process may take several minutes.
5
+
6
+ 2025-07-16 13:47:31,654 DEBUG urllib3.connectionpool Starting new HTTPS connection (1): dl.google.com:443
7
+ 2025-07-16 13:47:31,822 DEBUG urllib3.connectionpool https://dl.google.com:443 "GET /dl/cloudsdk/channels/rapid/components-2.json HTTP/11" 200 239798
8
+ 2025-07-16 13:47:31,842 WARNING root Component [compute] no longer exists.
9
+ 2025-07-16 13:47:31,844 INFO ___FILE_ONLY___
10
+
11
+ 2025-07-16 13:47:31,845 INFO ___FILE_ONLY___
12
+ Your current Google Cloud CLI version is: 530.0.0
13
+
14
+ 2025-07-16 13:47:31,845 INFO ___FILE_ONLY___ Installing components from version: 530.0.0
15
+
16
+ 2025-07-16 13:47:31,845 INFO ___FILE_ONLY___
17
+
18
+ 2025-07-16 13:47:31,846 DEBUG root Chosen display Format:table[box,title="These components will be removed."](details.display_name:label=Name:align=left,version.version_string:label=Version:align=right,data.size.size(zero="",min=1048576):label=Size:align=right)
19
+ 2025-07-16 13:47:31,846 DEBUG root Chosen display Format:table[box,title="These components will be updated."](details.display_name:label=Name:align=left,version.version_string:label=Version:align=right,data.size.size(zero="",min=1048576):label=Size:align=right)
20
+ 2025-07-16 13:47:31,847 DEBUG root Chosen display Format:table[box,title="These components will be installed."](details.display_name:label=Name:align=left,version.version_string:label=Version:align=right,data.size.size(zero="",min=1048576):label=Size:align=right)
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+ 2025-07-16 13:47:31,864 INFO ___FILE_ONLY___ ┌────────────────────────────────────────────────┐
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+ 2025-07-16 13:47:31,864 INFO ___FILE_ONLY___
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+
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+ 2025-07-16 13:47:31,864 INFO ___FILE_ONLY___ │ These components will be installed. │
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+ 2025-07-16 13:47:31,864 INFO ___FILE_ONLY___
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+
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+ 2025-07-16 13:47:31,864 INFO ___FILE_ONLY___ ├─────────────────────────┬────────────┬─────────┤
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+ 2025-07-16 13:47:31,864 INFO ___FILE_ONLY___
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+ 2025-07-16 13:47:31,864 INFO ___FILE_ONLY___ │ Name │ Version │ Size │
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+ 2025-07-16 13:47:31,864 INFO ___FILE_ONLY___
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+ 2025-07-16 13:47:31,864 INFO ___FILE_ONLY___ ├─────────────────────────┼────────────┼─────────┤
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+ 2025-07-16 13:47:31,865 INFO ___FILE_ONLY___
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+
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+ 2025-07-16 13:47:31,865 INFO ___FILE_ONLY___ │
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+ 2025-07-16 13:47:31,865 INFO ___FILE_ONLY___ gcloud Alpha Commands
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+ 2025-07-16 13:47:31,865 INFO ___FILE_ONLY___
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+ 2025-07-16 13:47:31,865 INFO ___FILE_ONLY___ │
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+ 2025-07-16 13:47:31,865 INFO ___FILE_ONLY___ 2025.07.11
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+ 2025-07-16 13:47:31,865 INFO ___FILE_ONLY___
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+ 2025-07-16 13:47:31,865 INFO ___FILE_ONLY___ │
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+ 2025-07-16 13:47:31,865 INFO ___FILE_ONLY___ < 1 MiB
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+ 2025-07-16 13:47:31,865 INFO ___FILE_ONLY___
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+ 2025-07-16 13:47:31,865 INFO ___FILE_ONLY___ │
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+ 2025-07-16 13:47:31,866 INFO ___FILE_ONLY___
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+
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+ 2025-07-16 13:47:31,866 INFO ___FILE_ONLY___ │
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+ 2025-07-16 13:47:31,866 INFO ___FILE_ONLY___ gcloud Beta Commands
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+ 2025-07-16 13:47:31,866 INFO ___FILE_ONLY___
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+ 2025-07-16 13:47:31,866 INFO ___FILE_ONLY___ │
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+ 2025-07-16 13:47:31,866 INFO ___FILE_ONLY___ 2025.07.11
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+ 2025-07-16 13:47:31,866 INFO ___FILE_ONLY___
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+ 2025-07-16 13:47:31,866 INFO ___FILE_ONLY___ │
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+ 2025-07-16 13:47:31,866 INFO ___FILE_ONLY___ < 1 MiB
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+ 2025-07-16 13:47:31,866 INFO ___FILE_ONLY___
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+ 2025-07-16 13:47:31,867 INFO ___FILE_ONLY___ │
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+ 2025-07-16 13:47:31,867 INFO ___FILE_ONLY___
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+
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+ 2025-07-16 13:47:31,867 INFO ___FILE_ONLY___ │
61
+ 2025-07-16 13:47:31,867 INFO ___FILE_ONLY___ gcloud Preview Commands
62
+ 2025-07-16 13:47:31,867 INFO ___FILE_ONLY___
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+ 2025-07-16 13:47:31,867 INFO ___FILE_ONLY___ │
64
+ 2025-07-16 13:47:31,867 INFO ___FILE_ONLY___
65
+ 2025-07-16 13:47:31,867 INFO ___FILE_ONLY___
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+ 2025-07-16 13:47:31,867 INFO ___FILE_ONLY___ │
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+ 2025-07-16 13:47:31,867 INFO ___FILE_ONLY___ < 1 MiB
68
+ 2025-07-16 13:47:31,867 INFO ___FILE_ONLY___
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+ 2025-07-16 13:47:31,867 INFO ___FILE_ONLY___ │
70
+ 2025-07-16 13:47:31,867 INFO ___FILE_ONLY___
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+
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+ 2025-07-16 13:47:31,868 INFO ___FILE_ONLY___ └─────────────────────────┴────────────┴─────────┘
73
+ 2025-07-16 13:47:31,868 INFO ___FILE_ONLY___
74
+
75
+ 2025-07-16 13:47:31,868 INFO ___FILE_ONLY___
76
+
77
+ 2025-07-16 13:47:31,872 DEBUG urllib3.connectionpool Starting new HTTPS connection (1): dl.google.com:443
78
+ 2025-07-16 13:47:32,804 DEBUG urllib3.connectionpool https://dl.google.com:443 "GET /dl/cloudsdk/channels/rapid/RELEASE_NOTES HTTP/11" 200 1449519
79
+ 2025-07-16 13:47:33,291 INFO ___FILE_ONLY___ For the latest full release notes, please visit:
80
+ https://cloud.google.com/sdk/release_notes
81
+
82
+
83
+ 2025-07-16 13:47:33,292 INFO ___FILE_ONLY___ Performing in place update...
84
+
85
+
86
+ 2025-07-16 13:47:33,294 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
87
+
88
+ 2025-07-16 13:47:33,295 INFO ___FILE_ONLY___ ╠═ Downloading: gcloud Alpha Commands ═╣
89
+
90
+ 2025-07-16 13:47:33,295 INFO ___FILE_ONLY___ ╚
91
+ 2025-07-16 13:47:33,299 DEBUG urllib3.connectionpool Starting new HTTPS connection (1): dl.google.com:443
92
+ 2025-07-16 13:47:34,242 DEBUG urllib3.connectionpool https://dl.google.com:443 "GET /dl/cloudsdk/channels/rapid/components/google-cloud-sdk-alpha-20250711193911.tar.gz HTTP/11" 200 800
93
+ 2025-07-16 13:47:34,243 INFO ___FILE_ONLY___ ════════════════════════════════════════════════════════════
94
+ 2025-07-16 13:47:34,243 INFO ___FILE_ONLY___ ╝
95
+
96
+ 2025-07-16 13:47:34,246 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
97
+
98
+ 2025-07-16 13:47:34,246 INFO ___FILE_ONLY___ ╠═ Downloading: gcloud Beta Commands ═╣
99
+
100
+ 2025-07-16 13:47:34,246 INFO ___FILE_ONLY___ ╚
101
+ 2025-07-16 13:47:34,250 DEBUG urllib3.connectionpool Starting new HTTPS connection (1): dl.google.com:443
102
+ 2025-07-16 13:47:35,223 DEBUG urllib3.connectionpool https://dl.google.com:443 "GET /dl/cloudsdk/channels/rapid/components/google-cloud-sdk-beta-20250711193911.tar.gz HTTP/11" 200 797
103
+ 2025-07-16 13:47:35,224 INFO ___FILE_ONLY___ ════════════════════════════════════════════════════════════
104
+ 2025-07-16 13:47:35,224 INFO ___FILE_ONLY___ ╝
105
+
106
+ 2025-07-16 13:47:35,227 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
107
+
108
+ 2025-07-16 13:47:35,227 INFO ___FILE_ONLY___ ╠═ Downloading: gcloud Preview Commands ═╣
109
+
110
+ 2025-07-16 13:47:35,227 INFO ___FILE_ONLY___ ╚
111
+ 2025-07-16 13:47:35,231 DEBUG urllib3.connectionpool Starting new HTTPS connection (1): dl.google.com:443
112
+ 2025-07-16 13:47:36,193 DEBUG urllib3.connectionpool https://dl.google.com:443 "GET /dl/cloudsdk/channels/rapid/components/google-cloud-sdk-preview-20241115154308.tar.gz HTTP/11" 200 823
113
+ 2025-07-16 13:47:36,194 INFO ___FILE_ONLY___ ════════════════════════════════════════════════════════════
114
+ 2025-07-16 13:47:36,194 INFO ___FILE_ONLY___ ╝
115
+
116
+ 2025-07-16 13:47:36,197 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
117
+
118
+ 2025-07-16 13:47:36,197 INFO ___FILE_ONLY___ ╠═ Installing: gcloud Alpha Commands ═╣
119
+
120
+ 2025-07-16 13:47:36,197 INFO ___FILE_ONLY___ ╚
121
+ 2025-07-16 13:47:36,199 INFO ___FILE_ONLY___ ════════════════════════════════════════════════════════════
122
+ 2025-07-16 13:47:36,199 INFO ___FILE_ONLY___ ╝
123
+
124
+ 2025-07-16 13:47:36,207 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
125
+
126
+ 2025-07-16 13:47:36,207 INFO ___FILE_ONLY___ ╠═ Installing: gcloud Beta Commands ═╣
127
+
128
+ 2025-07-16 13:47:36,207 INFO ___FILE_ONLY___ ╚
129
+ 2025-07-16 13:47:36,209 INFO ___FILE_ONLY___ ════════════════════════════════════════════════════════════
130
+ 2025-07-16 13:47:36,209 INFO ___FILE_ONLY___ ╝
131
+
132
+ 2025-07-16 13:47:36,214 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
133
+
134
+ 2025-07-16 13:47:36,215 INFO ___FILE_ONLY___ ╠═ Installing: gcloud Preview Commands ═╣
135
+
136
+ 2025-07-16 13:47:36,215 INFO ___FILE_ONLY___ ╚
137
+ 2025-07-16 13:47:36,216 INFO ___FILE_ONLY___ ════════════════════════════════════════════════════════════
138
+ 2025-07-16 13:47:36,216 INFO ___FILE_ONLY___ ╝
139
+
140
+ 2025-07-16 13:47:36,222 DEBUG root Updating notification cache...
141
+ 2025-07-16 13:47:36,223 INFO ___FILE_ONLY___
142
+
143
+ 2025-07-16 13:47:36,225 INFO ___FILE_ONLY___ Performing post processing steps...
144
+ 2025-07-16 13:47:36,226 DEBUG root Executing command: ['/tools/google-cloud-sdk/bin/gcloud', 'components', 'post-process']
145
+ 2025-07-16 13:47:47,823 DEBUG ___FILE_ONLY___
146
+ 2025-07-16 13:47:47,823 DEBUG ___FILE_ONLY___
147
+ 2025-07-16 13:47:47,995 INFO root descriptor_list: [{'universeDomain': 'googleapis.com', 'universeShortName': '', 'authenticationDomain': 'auth.cloud.google.com', 'projectPrefix': '', 'cloudWebDomain': 'cloud.google.com', 'documentationDomain': 'cloud.google.com', 'version': '1.0.0', 'state': 'primary', 'artifactRegistryDomain': 'pkg.dev'}]
148
+ 2025-07-16 13:47:47,996 INFO ___FILE_ONLY___
149
+ Update done!
150
+
151
+
152
+ 2025-07-16 13:47:47,999 DEBUG root Chosen display Format:none
153
+ 2025-07-16 13:47:48,000 INFO root Display format: "none"
.config/logs/2025.07.16/13.47.36.852800.log ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ 2025-07-16 13:47:36,853 DEBUG root Loaded Command Group: ['gcloud', 'components']
2
+ 2025-07-16 13:47:36,855 DEBUG root Loaded Command Group: ['gcloud', 'components', 'post_process']
3
+ 2025-07-16 13:47:36,857 DEBUG root Running [gcloud.components.post-process] with arguments: []
4
+ 2025-07-16 13:47:47,593 DEBUG root Chosen display Format:none
5
+ 2025-07-16 13:47:47,594 INFO root Display format: "none"
.config/logs/2025.07.16/13.47.48.882615.log ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ 2025-07-16 13:47:48,885 DEBUG root Loaded Command Group: ['gcloud', 'config']
2
+ 2025-07-16 13:47:48,953 DEBUG root Loaded Command Group: ['gcloud', 'config', 'set']
3
+ 2025-07-16 13:47:48,956 DEBUG root Running [gcloud.config.set] with arguments: [SECTION/PROPERTY: "component_manager/disable_update_check", VALUE: "true"]
4
+ 2025-07-16 13:47:48,957 INFO ___FILE_ONLY___ Updated property [component_manager/disable_update_check].
5
+
6
+ 2025-07-16 13:47:48,958 DEBUG root Chosen display Format:default
7
+ 2025-07-16 13:47:48,959 INFO root Display format: "default"
8
+ 2025-07-16 13:47:48,960 DEBUG root SDK update checks are disabled.
.config/logs/2025.07.16/13.47.49.863054.log ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ 2025-07-16 13:47:49,866 DEBUG root Loaded Command Group: ['gcloud', 'config']
2
+ 2025-07-16 13:47:49,925 DEBUG root Loaded Command Group: ['gcloud', 'config', 'set']
3
+ 2025-07-16 13:47:49,927 DEBUG root Running [gcloud.config.set] with arguments: [SECTION/PROPERTY: "compute/gce_metadata_read_timeout_sec", VALUE: "0"]
4
+ 2025-07-16 13:47:49,929 INFO ___FILE_ONLY___ Updated property [compute/gce_metadata_read_timeout_sec].
5
+
6
+ 2025-07-16 13:47:49,930 DEBUG root Chosen display Format:default
7
+ 2025-07-16 13:47:49,930 INFO root Display format: "default"
8
+ 2025-07-16 13:47:49,931 DEBUG root SDK update checks are disabled.
.gitattributes CHANGED
@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ sample_data/mnist_test.csv filter=lfs diff=lfs merge=lfs -text
37
+ sample_data/mnist_train_small.csv filter=lfs diff=lfs merge=lfs -text
LICENSE ADDED
@@ -0,0 +1,91 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ DEEPSEEK LICENSE AGREEMENT
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+
3
+ Version 1.0, 23 October 2023
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+
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+ Copyright (c) 2023 DeepSeek
6
+
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+ Section I: PREAMBLE
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+
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+ Large generative models are being widely adopted and used, and have the potential to transform the way individuals conceive and benefit from AI or ML technologies.
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+ Notwithstanding the current and potential benefits that these artifacts can bring to society at large, there are also concerns about potential misuses of them, either due to their technical limitations or ethical considerations.
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+
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+ In short, this license strives for both the open and responsible downstream use of the accompanying model. When it comes to the open character, we took inspiration from open source permissive licenses regarding the grant of IP rights. Referring to the downstream responsible use, we added use-based restrictions not permitting the use of the model in very specific scenarios, in order for the licensor to be able to enforce the license in case potential misuses of the Model may occur. At the same time, we strive to promote open and responsible research on generative models for content generation.
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+
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+ Even though downstream derivative versions of the model could be released under different licensing terms, the latter will always have to include - at minimum - the same use-based restrictions as the ones in the original license (this license). We believe in the intersection between open and responsible AI development; thus, this agreement aims to strike a balance between both in order to enable responsible open-science in the field of AI.
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+ This License governs the use of the model (and its derivatives) and is informed by the model card associated with the model.
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+ NOW THEREFORE, You and DeepSeek agree as follows:
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+ 1. Definitions
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+ "License" means the terms and conditions for use, reproduction, and Distribution as defined in this document.
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+ "Data" means a collection of information and/or content extracted from the dataset used with the Model, including to train, pretrain, or otherwise evaluate the Model. The Data is not licensed under this License.
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+ "Output" means the results of operating a Model as embodied in informational content resulting therefrom.
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+ "Model" means any accompanying machine-learning based assemblies (including checkpoints), consisting of learnt weights, parameters (including optimizer states), corresponding to the model architecture as embodied in the Complementary Material, that have been trained or tuned, in whole or in part on the Data, using the Complementary Material.
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+ "Derivatives of the Model" means all modifications to the Model, works based on the Model, or any other model which is created or initialized by transfer of patterns of the weights, parameters, activations or output of the Model, to the other model, in order to cause the other model to perform similarly to the Model, including - but not limited to - distillation methods entailing the use of intermediate data representations or methods based on the generation of synthetic data by the Model for training the other model.
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+ "Complementary Material" means the accompanying source code and scripts used to define, run, load, benchmark or evaluate the Model, and used to prepare data for training or evaluation, if any. This includes any accompanying documentation, tutorials, examples, etc, if any.
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+ "Distribution" means any transmission, reproduction, publication or other sharing of the Model or Derivatives of the Model to a third party, including providing the Model as a hosted service made available by electronic or other remote means - e.g. API-based or web access.
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+ "DeepSeek" (or "we") means Beijing DeepSeek Artificial Intelligence Fundamental Technology Research Co., Ltd., Hangzhou DeepSeek Artificial Intelligence Fundamental Technology Research Co., Ltd. and/or any of their affiliates.
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+ "You" (or "Your") means an individual or Legal Entity exercising permissions granted by this License and/or making use of the Model for whichever purpose and in any field of use, including usage of the Model in an end-use application - e.g. chatbot, translator, etc.
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+ "Third Parties" means individuals or legal entities that are not under common control with DeepSeek or You.
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+
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+ Section II: INTELLECTUAL PROPERTY RIGHTS
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+ Both copyright and patent grants apply to the Model, Derivatives of the Model and Complementary Material. The Model and Derivatives of the Model are subject to additional terms as described in Section III.
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+ 2. Grant of Copyright License. Subject to the terms and conditions of this License, DeepSeek hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare, publicly display, publicly perform, sublicense, and distribute the Complementary Material, the Model, and Derivatives of the Model.
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+ 3. Grant of Patent License. Subject to the terms and conditions of this License and where and as applicable, DeepSeek hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable (except as stated in this paragraph) patent license to make, have made, use, offer to sell, sell, import, and otherwise transfer the Model and the Complementary Material, where such license applies only to those patent claims licensable by DeepSeek that are necessarily infringed by its contribution(s). If You institute patent litigation against any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Model and/or Complementary Material constitutes direct or contributory patent infringement, then any patent licenses granted to You under this License for the Model and/or works shall terminate as of the date such litigation is asserted or filed.
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+
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+ Section III: CONDITIONS OF USAGE, DISTRIBUTION AND REDISTRIBUTION
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+
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+ 4. Distribution and Redistribution. You may host for Third Party remote access purposes (e.g. software-as-a-service), reproduce and distribute copies of the Model or Derivatives of the Model thereof in any medium, with or without modifications, provided that You meet the following conditions:
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+ a. Use-based restrictions as referenced in paragraph 5 MUST be included as an enforceable provision by You in any type of legal agreement (e.g. a license) governing the use and/or distribution of the Model or Derivatives of the Model, and You shall give notice to subsequent users You Distribute to, that the Model or Derivatives of the Model are subject to paragraph 5. This provision does not apply to the use of Complementary Material.
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+ b. You must give any Third Party recipients of the Model or Derivatives of the Model a copy of this License;
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+ c. You must cause any modified files to carry prominent notices stating that You changed the files;
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+ d. You must retain all copyright, patent, trademark, and attribution notices excluding those notices that do not pertain to any part of the Model, Derivatives of the Model.
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+ e. You may add Your own copyright statement to Your modifications and may provide additional or different license terms and conditions - respecting paragraph 4.a. – for use, reproduction, or Distribution of Your modifications, or for any such Derivatives of the Model as a whole, provided Your use, reproduction, and Distribution of the Model otherwise complies with the conditions stated in this License.
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+
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+ 5. Use-based restrictions. The restrictions set forth in Attachment A are considered Use-based restrictions. Therefore You cannot use the Model and the Derivatives of the Model for the specified restricted uses. You may use the Model subject to this License, including only for lawful purposes and in accordance with the License. Use may include creating any content with, finetuning, updating, running, training, evaluating and/or reparametrizing the Model. You shall require all of Your users who use the Model or a Derivative of the Model to comply with the terms of this paragraph (paragraph 5).
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+
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+ 6. The Output You Generate. Except as set forth herein, DeepSeek claims no rights in the Output You generate using the Model. You are accountable for the Output you generate and its subsequent uses. No use of the output can contravene any provision as stated in the License.
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+
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+ Section IV: OTHER PROVISIONS
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+
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+ 7. Updates and Runtime Restrictions. To the maximum extent permitted by law, DeepSeek reserves the right to restrict (remotely or otherwise) usage of the Model in violation of this License.
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+
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+ 8. Trademarks and related. Nothing in this License permits You to make use of DeepSeek’ trademarks, trade names, logos or to otherwise suggest endorsement or misrepresent the relationship between the parties; and any rights not expressly granted herein are reserved by DeepSeek.
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+
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+ 9. Personal information, IP rights and related. This Model may contain personal information and works with IP rights. You commit to complying with applicable laws and regulations in the handling of personal information and the use of such works. Please note that DeepSeek's license granted to you to use the Model does not imply that you have obtained a legitimate basis for processing the related information or works. As an independent personal information processor and IP rights user, you need to ensure full compliance with relevant legal and regulatory requirements when handling personal information and works with IP rights that may be contained in the Model, and are willing to assume solely any risks and consequences that may arise from that.
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+
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+ 10. Disclaimer of Warranty. Unless required by applicable law or agreed to in writing, DeepSeek provides the Model and the Complementary Material on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. You are solely responsible for determining the appropriateness of using or redistributing the Model, Derivatives of the Model, and the Complementary Material and assume any risks associated with Your exercise of permissions under this License.
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+ 11. Limitation of Liability. In no event and under no legal theory, whether in tort (including negligence), contract, or otherwise, unless required by applicable law (such as deliberate and grossly negligent acts) or agreed to in writing, shall DeepSeek be liable to You for damages, including any direct, indirect, special, incidental, or consequential damages of any character arising as a result of this License or out of the use or inability to use the Model and the Complementary Material (including but not limited to damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses), even if DeepSeek has been advised of the possibility of such damages.
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+ 12. Accepting Warranty or Additional Liability. While redistributing the Model, Derivatives of the Model and the Complementary Material thereof, You may choose to offer, and charge a fee for, acceptance of support, warranty, indemnity, or other liability obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of DeepSeek, and only if You agree to indemnify, defend, and hold DeepSeek harmless for any liability incurred by, or claims asserted against, DeepSeek by reason of your accepting any such warranty or additional liability.
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+ 13. If any provision of this License is held to be invalid, illegal or unenforceable, the remaining provisions shall be unaffected thereby and remain valid as if such provision had not been set forth herein.
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+ 14. Governing Law and Jurisdiction. This agreement will be governed and construed under PRC laws without regard to choice of law principles, and the UN Convention on Contracts for the International Sale of Goods does not apply to this agreement. The courts located in the domicile of Hangzhou DeepSeek Artificial Intelligence Fundamental Technology Research Co., Ltd. shall have exclusive jurisdiction of any dispute arising out of this agreement.
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+
73
+ END OF TERMS AND CONDITIONS
74
+
75
+ Attachment A
76
+
77
+ Use Restrictions
78
+
79
+ You agree not to use the Model or Derivatives of the Model:
80
+
81
+ - In any way that violates any applicable national or international law or regulation or infringes upon the lawful rights and interests of any third party;
82
+ - For military use in any way;
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+ - For the purpose of exploiting, harming or attempting to exploit or harm minors in any way;
84
+ - To generate or disseminate verifiably false information and/or content with the purpose of harming others;
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+ - To generate or disseminate inappropriate content subject to applicable regulatory requirements;
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+ - To generate or disseminate personal identifiable information without due authorization or for unreasonable use;
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+ - To defame, disparage or otherwise harass others;
88
+ - For fully automated decision making that adversely impacts an individual’s legal rights or otherwise creates or modifies a binding, enforceable obligation;
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+ - For any use intended to or which has the effect of discriminating against or harming individuals or groups based on online or offline social behavior or known or predicted personal or personality characteristics;
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+ - To exploit any of the vulnerabilities of a specific group of persons based on their age, social, physical or mental characteristics, in order to materially distort the behavior of a person pertaining to that group in a manner that causes or is likely to cause that person or another person physical or psychological harm;
91
+ - For any use intended to or which has the effect of discriminating against individuals or groups based on legally protected characteristics or categories.
README.md ADDED
@@ -0,0 +1,276 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: other
3
+ license_name: deepseek
4
+ license_link: https://github.com/deepseek-ai/DeepSeek-V2/blob/main/LICENSE-MODEL
5
+ ---
6
+
7
+ <!-- markdownlint-disable first-line-h1 -->
8
+ <!-- markdownlint-disable html -->
9
+ <!-- markdownlint-disable no-duplicate-header -->
10
+
11
+ <div align="center">
12
+ <img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek-V2" />
13
+ </div>
14
+ <hr>
15
+ <div align="center" style="line-height: 1;">
16
+ <a href="https://www.deepseek.com/" target="_blank" style="margin: 2px;">
17
+ <img alt="Homepage" src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/badge.svg?raw=true" style="display: inline-block; vertical-align: middle;"/>
18
+ </a>
19
+ <a href="https://chat.deepseek.com/" target="_blank" style="margin: 2px;">
20
+ <img alt="Chat" src="https://img.shields.io/badge/🤖%20Chat-DeepSeek%20V2-536af5?color=536af5&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
21
+ </a>
22
+ <a href="https://huggingface.co/deepseek-ai" target="_blank" style="margin: 2px;">
23
+ <img alt="Hugging Face" src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-DeepSeek%20AI-ffc107?color=ffc107&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
24
+ </a>
25
+ </div>
26
+
27
+ <div align="center" style="line-height: 1;">
28
+ <a href="https://discord.gg/Tc7c45Zzu5" target="_blank" style="margin: 2px;">
29
+ <img alt="Discord" src="https://img.shields.io/badge/Discord-DeepSeek%20AI-7289da?logo=discord&logoColor=white&color=7289da" style="display: inline-block; vertical-align: middle;"/>
30
+ </a>
31
+ <a href="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/qr.jpeg?raw=true" target="_blank" style="margin: 2px;">
32
+ <img alt="Wechat" src="https://img.shields.io/badge/WeChat-DeepSeek%20AI-brightgreen?logo=wechat&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
33
+ </a>
34
+ <a href="https://twitter.com/deepseek_ai" target="_blank" style="margin: 2px;">
35
+ <img alt="Twitter Follow" src="https://img.shields.io/badge/Twitter-deepseek_ai-white?logo=x&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
36
+ </a>
37
+ </div>
38
+
39
+ <div align="center" style="line-height: 1;">
40
+ <a href="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/LICENSE-CODE" style="margin: 2px;">
41
+ <img alt="Code License" src="https://img.shields.io/badge/Code_License-MIT-f5de53?&color=f5de53" style="display: inline-block; vertical-align: middle;"/>
42
+ </a>
43
+ <a href="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/LICENSE-MODEL" style="margin: 2px;">
44
+ <img alt="Model License" src="https://img.shields.io/badge/Model_License-Model_Agreement-f5de53?&color=f5de53" style="display: inline-block; vertical-align: middle;"/>
45
+ </a>
46
+ </div>
47
+
48
+ <p align="center">
49
+ <a href="#2-model-downloads">Model Download</a> |
50
+ <a href="#3-evaluation-results">Evaluation Results</a> |
51
+ <a href="#4-model-architecture">Model Architecture</a> |
52
+ <a href="#6-api-platform">API Platform</a> |
53
+ <a href="#8-license">License</a> |
54
+ <a href="#9-citation">Citation</a>
55
+ </p>
56
+
57
+ <p align="center">
58
+ <a href="https://arxiv.org/abs/2405.04434"><b>Paper Link</b>👁️</a>
59
+ </p>
60
+
61
+ # DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
62
+
63
+ ## 1. Introduction
64
+
65
+ Last week, the release and buzz around DeepSeek-V2 have ignited widespread interest in MLA (Multi-head Latent Attention)! Many in the community suggested open-sourcing a smaller MoE model for in-depth research. And now DeepSeek-V2-Lite comes out:
66
+
67
+ - 16B total params, 2.4B active params, scratch training with 5.7T tokens
68
+ - Outperforms 7B dense and 16B MoE on many English & Chinese benchmarks
69
+ - Deployable on single 40G GPU, fine-tunable on 8x80G GPUs
70
+
71
+ DeepSeek-V2, a strong Mixture-of-Experts (MoE) language model characterized by economical training and efficient inference. DeepSeek-V2 adopts innovative architectures including Multi-head Latent Attention (MLA) and DeepSeekMoE. MLA guarantees efficient inference through significantly compressing the Key-Value (KV) cache into a latent vector, while DeepSeekMoE enables training strong models at an economical cost through sparse computation.
72
+
73
+ ## 2. News
74
+
75
+ - 2024.05.16: We released the DeepSeek-V2-Lite.
76
+ - 2024.05.06: We released the DeepSeek-V2.
77
+
78
+ ## 3. Model Downloads
79
+
80
+ With DeepSeek-V2, we are open-sourcing base and chat models across two sizes:
81
+
82
+ <div align="center">
83
+
84
+ | **Model** | **#Total Params** | **#Activated Params** | **Context Length** | **Download** |
85
+ | :------------: | :------------: | :------------: | :------------: | :------------: |
86
+ | DeepSeek-V2-Lite | 16B | 2.4B | 32k | [🤗 HuggingFace](https://huggingface.co/deepseek-ai/DeepSeek-V2-Lite) |
87
+ | DeepSeek-V2-Lite-Chat (SFT) | 16B | 2.4B | 32k | [🤗 HuggingFace](https://huggingface.co/deepseek-ai/DeepSeek-V2-Lite-Chat) |
88
+ | DeepSeek-V2 | 236B | 21B | 128k | [🤗 HuggingFace](https://huggingface.co/deepseek-ai/DeepSeek-V2) |
89
+ | DeepSeek-V2-Chat (RL) | 236B | 21B | 128k | [���� HuggingFace](https://huggingface.co/deepseek-ai/DeepSeek-V2-Chat) |
90
+
91
+ </div>
92
+
93
+ Due to the constraints of HuggingFace, the open-source code currently experiences slower performance than our internal codebase when running on GPUs with Huggingface. To facilitate the efficient execution of our model, we offer a dedicated vllm solution that optimizes performance for running our model effectively.
94
+
95
+ ## 4. Evaluation Results
96
+ ### Base Model
97
+ #### Standard Benchmark
98
+ <div align="center">
99
+
100
+ | **Benchmark** | **Domain** | **DeepSeek 7B (Dense)** | **DeepSeekMoE 16B** | **DeepSeek-V2-Lite (MoE-16B)** |
101
+ |:-------------:|:----------:|:--------------:|:-----------------:|:--------------------------:|
102
+ | **Architecture** | - | MHA+Dense | MHA+MoE | MLA+MoE |
103
+ | **MMLU** | English | 48.2 | 45.0 | 58.3 |
104
+ | **BBH** | English | 39.5 | 38.9 | 44.1 |
105
+ | **C-Eval** | Chinese | 45.0 | 40.6 | 60.3 |
106
+ | **CMMLU** | Chinese | 47.2 | 42.5 | 64.3 |
107
+ | **HumanEval** | Code | 26.2 | 26.8 | 29.9 |
108
+ | **MBPP** | Code | 39.0 | 39.2 | 43.2 |
109
+ | **GSM8K** | Math | 17.4 | 18.8 | 41.1 |
110
+ | **Math** | Math | 3.3 | 4.3 | 17.1 |
111
+
112
+ </div>
113
+ For more evaluation details, such as few-shot settings and prompts, please check our paper.
114
+
115
+
116
+ ### Chat Model
117
+ #### Standard Benchmark
118
+
119
+ <div align="center">
120
+
121
+ | Benchmark | Domain | DeepSeek 7B Chat (SFT) | DeepSeekMoE 16B Chat (SFT) | DeepSeek-V2-Lite 16B Chat (SFT) |
122
+ |:-----------:|:----------------:|:------------------:|:---------------:|:---------------------:|
123
+ | **MMLU** | English | 49.7 | 47.2 | 55.7 |
124
+ | **BBH** | English | 43.1 | 42.2 | 48.1 |
125
+ | **C-Eval** | Chinese | 44.7 | 40.0 | 60.1 |
126
+ | **CMMLU** | Chinese | 51.2 | 49.3 | 62.5 |
127
+ | **HumanEval** | Code | 45.1 | 45.7 | 57.3 |
128
+ | **MBPP** | Code | 39.0 | 46.2 | 45.8 |
129
+ | **GSM8K** | Math | 62.6 | 62.2 | 72.0 |
130
+ | **Math** | Math | 14.7 | 15.2 | 27.9 |
131
+
132
+ </div>
133
+
134
+
135
+ ## 5. Model Architecture
136
+ DeepSeek-V2 adopts innovative architectures to guarantee economical training and efficient inference：
137
+ - For attention, we design MLA (Multi-head Latent Attention), which utilizes low-rank key-value union compression to eliminate the bottleneck of inference-time key-value cache, thus supporting efficient inference.
138
+ - For Feed-Forward Networks (FFNs), we adopt DeepSeekMoE architecture, a high-performance MoE architecture that enables training stronger models at lower costs.
139
+
140
+ <p align="center">
141
+ <img width="90%" src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/architecture.png?raw=true" />
142
+ </p>
143
+
144
+ DeepSeek-V2-Lite has 27 layers and a hidden dimension of 2048. It also employs MLA and has 16 attention heads, where each head has a dimension of 128. Its KV compression dimension is 512, but slightly different from DeepSeek-V2, it does not compress the queries. For the decoupled queries and key, it has a per-head dimension of 64. DeepSeek-V2-Lite also employs DeepSeekMoE, and all FFNs except for the first layer are replaced with MoE layers. Each MoE layer consists of 2 shared experts and 64 routed experts, where the intermediate hidden dimension of each expert is 1408. Among the routed experts, 6 experts will be activated for each token. Under this configuration, DeepSeek-V2-Lite comprises 15.7B total parameters, of which 2.4B are activated for each token.
145
+
146
+
147
+ ## 6. Training Details
148
+ DeepSeek-V2-Lite is also trained from scratch on the same pre-training corpus of DeepSeek-V2, which is not polluted by any SFT data. It uses the AdamW optimizer with hyper-parameters set to $\beta_1=0.9$, $\beta_2=0.95$, and $\mathrm{weight_decay}=0.1$. The learning rate is scheduled using a warmup-and-step-decay strategy. Initially, the learning rate linearly increases from 0 to the maximum value during the first 2K steps. Subsequently, the learning rate is multiplied by 0.316 after training about 80% of tokens, and again by 0.316 after training about 90% of tokens. The maximum learning rate is set to $4.2 \times 10^{-4}$, and the gradient clipping norm is set to 1.0. We do not employ the batch size scheduling strategy for it, and it is trained with a constant batch size of 4608 sequences. During pre-training, we set the maximum sequence length to 4K, and train DeepSeek-V2-Lite on 5.7T tokens. We leverage pipeline parallelism to deploy different layers of it on different devices, but for each layer, all experts will be deployed on the same device. Therefore, we only employ a small expert-level balance loss with $\alpha_{1}=0.001$, and do not employ device-level balance loss and communication balance loss for it. After pre-training, we also perform long-context extension, SFT for DeepSeek-V2-Lite and get a chat model called DeepSeek-V2-Lite Chat.
149
+
150
+ ## 7. How to run locally
151
+
152
+ **To utilize DeepSeek-V2-Lite in BF16 format for inference, 40GB*1 GPU is required.**
153
+ ### Inference with Huggingface's Transformers
154
+ You can directly employ [Huggingface's Transformers](https://github.com/huggingface/transformers) for model inference.
155
+
156
+ #### Text Completion
157
+ ```python
158
+ import torch
159
+ from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig
160
+
161
+ model_name = "deepseek-ai/DeepSeek-V2-Lite"
162
+ tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
163
+ model = AutoModelForCausalLM.from_pretrained(model_name, trust_remote_code=True, torch_dtype=torch.bfloat16).cuda()
164
+ model.generation_config = GenerationConfig.from_pretrained(model_name)
165
+ model.generation_config.pad_token_id = model.generation_config.eos_token_id
166
+
167
+ text = "An attention function can be described as mapping a query and a set of key-value pairs to an output, where the query, keys, values, and output are all vectors. The output is"
168
+ inputs = tokenizer(text, return_tensors="pt")
169
+ outputs = model.generate(**inputs.to(model.device), max_new_tokens=100)
170
+
171
+ result = tokenizer.decode(outputs[0], skip_special_tokens=True)
172
+ print(result)
173
+ ```
174
+
175
+ #### Chat Completion
176
+ ```python
177
+ import torch
178
+ from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig
179
+
180
+ model_name = "deepseek-ai/DeepSeek-V2-Lite-Chat"
181
+ tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
182
+ model = AutoModelForCausalLM.from_pretrained(model_name, trust_remote_code=True, torch_dtype=torch.bfloat16).cuda()
183
+ model.generation_config = GenerationConfig.from_pretrained(model_name)
184
+ model.generation_config.pad_token_id = model.generation_config.eos_token_id
185
+
186
+ messages = [
187
+ {"role": "user", "content": "Write a piece of quicksort code in C++"}
188
+ ]
189
+ input_tensor = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt")
190
+ outputs = model.generate(input_tensor.to(model.device), max_new_tokens=100)
191
+
192
+ result = tokenizer.decode(outputs[0][input_tensor.shape[1]:], skip_special_tokens=True)
193
+ print(result)
194
+ ```
195
+
196
+ The complete chat template can be found within `tokenizer_config.json` located in the huggingface model repository.
197
+
198
+ An example of chat template is as belows:
199
+
200
+ ```bash
201
+ <｜begin▁of▁sentence｜>User: {user_message_1}
202
+
203
+ Assistant: {assistant_message_1}<｜end▁of▁sentence｜>User: {user_message_2}
204
+
205
+ Assistant:
206
+ ```
207
+
208
+ You can also add an optional system message:
209
+
210
+ ```bash
211
+ <｜begin▁of▁sentence｜>{system_message}
212
+
213
+ User: {user_message_1}
214
+
215
+ Assistant: {assistant_message_1}<｜end▁of▁sentence｜>User: {user_message_2}
216
+
217
+ Assistant:
218
+ ```
219
+
220
+ ### Inference with vLLM (recommended)
221
+ To utilize [vLLM](https://github.com/vllm-project/vllm) for model inference, please merge this Pull Request into your vLLM codebase: https://github.com/vllm-project/vllm/pull/4650.
222
+
223
+ ```python
224
+ from transformers import AutoTokenizer
225
+ from vllm import LLM, SamplingParams
226
+
227
+ max_model_len, tp_size = 8192, 1
228
+ model_name = "deepseek-ai/DeepSeek-V2-Lite-Chat"
229
+ tokenizer = AutoTokenizer.from_pretrained(model_name)
230
+ llm = LLM(model=model_name, tensor_parallel_size=tp_size, max_model_len=max_model_len, trust_remote_code=True, enforce_eager=True)
231
+ sampling_params = SamplingParams(temperature=0.3, max_tokens=256, stop_token_ids=[tokenizer.eos_token_id])
232
+
233
+ messages_list = [
234
+ [{"role": "user", "content": "Who are you?"}],
235
+ [{"role": "user", "content": "Translate the following content into Chinese directly: DeepSeek-V2 adopts innovative architectures to guarantee economical training and efficient inference."}],
236
+ [{"role": "user", "content": "Write a piece of quicksort code in C++."}],
237
+ ]
238
+
239
+ prompt_token_ids = [tokenizer.apply_chat_template(messages, add_generation_prompt=True) for messages in messages_list]
240
+
241
+ outputs = llm.generate(prompt_token_ids=prompt_token_ids, sampling_params=sampling_params)
242
+
243
+ generated_text = [output.outputs[0].text for output in outputs]
244
+ print(generated_text)
245
+ ```
246
+
247
+ ### LangChain Support
248
+ Since our API is compatible with OpenAI, you can easily use it in [langchain](https://www.langchain.com/).
249
+ Here is an example:
250
+
251
+ ```
252
+ from langchain_openai import ChatOpenAI
253
+ llm = ChatOpenAI(
254
+ model='deepseek-chat',
255
+ openai_api_key=<your-deepseek-api-key>,
256
+ openai_api_base='https://api.deepseek.com/v1',
257
+ temperature=0.85,
258
+ max_tokens=8000)
259
+ ```
260
+ ## 8. License
261
+ This code repository is licensed under [the MIT License](LICENSE-CODE). The use of DeepSeek-V2 Base/Chat models is subject to [the Model License](LICENSE-MODEL). DeepSeek-V2 series (including Base and Chat) supports commercial use.
262
+
263
+ ## 9. Citation
264
+ ```
265
+ @misc{deepseekv2,
266
+ title={DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model},
267
+ author={DeepSeek-AI},
268
+ year={2024},
269
+ eprint={2405.04434},
270
+ archivePrefix={arXiv},
271
+ primaryClass={cs.CL}
272
+ }
273
+ ```
274
+
275
+ ## 10. Contact
276
+ If you have any questions, please raise an issue or contact us at [service@deepseek.com](service@deepseek.com).
config.json ADDED
@@ -0,0 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "DeepseekV2ForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "auto_map": {
8
+ "AutoConfig": "configuration_deepseek.DeepseekV2Config",
9
+ "AutoModel": "modeling_deepseek.DeepseekV2Model",
10
+ "AutoModelForCausalLM": "modeling_deepseek.DeepseekV2ForCausalLM"
11
+ },
12
+ "aux_loss_alpha": 0.001,
13
+ "bos_token_id": 100000,
14
+ "eos_token_id": 100001,
15
+ "first_k_dense_replace": 1,
16
+ "hidden_act": "silu",
17
+ "hidden_size": 2048,
18
+ "initializer_range": 0.02,
19
+ "intermediate_size": 10944,
20
+ "kv_lora_rank": 512,
21
+ "max_position_embeddings": 163840,
22
+ "model_type": "deepseek_v2",
23
+ "moe_intermediate_size": 1408,
24
+ "moe_layer_freq": 1,
25
+ "n_group": 1,
26
+ "n_routed_experts": 64,
27
+ "n_shared_experts": 2,
28
+ "norm_topk_prob": false,
29
+ "num_attention_heads": 16,
30
+ "num_experts_per_tok": 6,
31
+ "num_hidden_layers": 27,
32
+ "num_key_value_heads": 16,
33
+ "pretraining_tp": 1,
34
+ "q_lora_rank": null,
35
+ "qk_nope_head_dim": 128,
36
+ "qk_rope_head_dim": 64,
37
+ "rms_norm_eps": 1e-06,
38
+ "rope_scaling": {
39
+ "beta_fast": 32,
40
+ "beta_slow": 1,
41
+ "factor": 40,
42
+ "mscale": 0.707,
43
+ "mscale_all_dim": 0.707,
44
+ "original_max_position_embeddings": 4096,
45
+ "type": "yarn"
46
+ },
47
+ "rope_theta": 10000,
48
+ "routed_scaling_factor": 1.0,
49
+ "scoring_func": "softmax",
50
+ "seq_aux": true,
51
+ "tie_word_embeddings": false,
52
+ "topk_group": 1,
53
+ "topk_method": "greedy",
54
+ "torch_dtype": "bfloat16",
55
+ "transformers_version": "4.33.1",
56
+ "use_cache": true,
57
+ "v_head_dim": 128,
58
+ "vocab_size": 102400
59
+ }
configuration_deepseek.py ADDED
@@ -0,0 +1,206 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ from transformers.configuration_utils import PretrainedConfig
2
+ from transformers.utils import logging
3
+
4
+ logger = logging.get_logger(__name__)
5
+
6
+ DEEPSEEK_PRETRAINED_CONFIG_ARCHIVE_MAP = {}
7
+ class DeepseekV2Config(PretrainedConfig):
8
+ r"""
9
+ This is the configuration class to store the configuration of a [`DeepseekV2Model`]. It is used to instantiate an DeepSeek
10
+ model according to the specified arguments, defining the model architecture. Instantiating a configuration with the
11
+ defaults will yield a similar configuration to that of the DeepSeek-V2.
12
+
13
+ Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the
14
+ documentation from [`PretrainedConfig`] for more information.
15
+
16
+
17
+ Args:
18
+ vocab_size (`int`, *optional*, defaults to 102400):
19
+ Vocabulary size of the Deep model. Defines the number of different tokens that can be represented by the
20
+ `inputs_ids` passed when calling [`DeepseekV2Model`]
21
+ hidden_size (`int`, *optional*, defaults to 4096):
22
+ Dimension of the hidden representations.
23
+ intermediate_size (`int`, *optional*, defaults to 11008):
24
+ Dimension of the MLP representations.
25
+ moe_intermediate_size (`int`, *optional*, defaults to 1407):
26
+ Dimension of the MoE representations.
27
+ num_hidden_layers (`int`, *optional*, defaults to 32):
28
+ Number of hidden layers in the Transformer decoder.
29
+ num_attention_heads (`int`, *optional*, defaults to 32):
30
+ Number of attention heads for each attention layer in the Transformer decoder.
31
+ n_shared_experts (`int`, *optional*, defaults to None):
32
+ Number of shared experts, None means dense model.
33
+ n_routed_experts (`int`, *optional*, defaults to None):
34
+ Number of routed experts, None means dense model.
35
+ routed_scaling_factor (`float`, *optional*, defaults to 1.0):
36
+ Scaling factor or routed experts.
37
+ topk_method (`str`, *optional*, defaults to `gready`):
38
+ Topk method used in routed gate.
39
+ n_group (`int`, *optional*, defaults to None):
40
+ Number of groups for routed experts.
41
+ topk_group (`int`, *optional*, defaults to None):
42
+ Number of selected groups for each token(for each token, ensuring the selected experts is only within `topk_group` groups).
43
+ num_experts_per_tok (`int`, *optional*, defaults to None):
44
+ Number of selected experts, None means dense model.
45
+ moe_layer_freq (`int`, *optional*, defaults to 1):
46
+ The frequency of the MoE layer: one expert layer for every `moe_layer_freq - 1` dense layers.
47
+ first_k_dense_replace (`int`, *optional*, defaults to 0):
48
+ Number of dense layers in shallow layers(embed->dense->dense->...->dense->moe->moe...->lm_head).
49
+ \--k dense layers--/
50
+ norm_topk_prob (`bool`, *optional*, defaults to False):
51
+ Whether to normalize the weights of the routed experts.
52
+ scoring_func (`str`, *optional*, defaults to 'softmax'):
53
+ Method of computing expert weights.
54
+ aux_loss_alpha (`float`, *optional*, defaults to 0.001):
55
+ Auxiliary loss weight coefficient.
56
+ seq_aux = (`bool`, *optional*, defaults to True):
57
+ Whether to compute the auxiliary loss for each individual sample.
58
+ num_key_value_heads (`int`, *optional*):
59
+ This is the number of key_value heads that should be used to implement Grouped Query Attention. If
60
+ `num_key_value_heads=num_attention_heads`, the model will use Multi Head Attention (MHA), if
61
+ `num_key_value_heads=1 the model will use Multi Query Attention (MQA) otherwise GQA is used. When
62
+ converting a multi-head checkpoint to a GQA checkpoint, each group key and value head should be constructed
63
+ by meanpooling all the original heads within that group. For more details checkout [this
64
+ paper](https://arxiv.org/pdf/2305.13245.pdf). If it is not specified, will default to
65
+ `num_attention_heads`.
66
+ hidden_act (`str` or `function`, *optional*, defaults to `"silu"`):
67
+ The non-linear activation function (function or string) in the decoder.
68
+ max_position_embeddings (`int`, *optional*, defaults to 2048):
69
+ The maximum sequence length that this model might ever be used with.
70
+ initializer_range (`float`, *optional*, defaults to 0.02):
71
+ The standard deviation of the truncated_normal_initializer for initializing all weight matrices.
72
+ rms_norm_eps (`float`, *optional*, defaults to 1e-06):
73
+ The epsilon used by the rms normalization layers.
74
+ use_cache (`bool`, *optional*, defaults to `True`):
75
+ Whether or not the model should return the last key/values attentions (not used by all models). Only
76
+ relevant if `config.is_decoder=True`.
77
+ pad_token_id (`int`, *optional*):
78
+ Padding token id.
79
+ bos_token_id (`int`, *optional*, defaults to 1):
80
+ Beginning of stream token id.
81
+ eos_token_id (`int`, *optional*, defaults to 2):
82
+ End of stream token id.
83
+ pretraining_tp (`int`, *optional*, defaults to 1):
84
+ Experimental feature. Tensor parallelism rank used during pretraining. Please refer to [this
85
+ document](https://huggingface.co/docs/transformers/parallelism) to understand more about it. This value is
86
+ necessary to ensure exact reproducibility of the pretraining results. Please refer to [this
87
+ issue](https://github.com/pytorch/pytorch/issues/76232).
88
+ tie_word_embeddings (`bool`, *optional*, defaults to `False`):
89
+ Whether to tie weight embeddings
90
+ rope_theta (`float`, *optional*, defaults to 10000.0):
91
+ The base period of the RoPE embeddings.
92
+ rope_scaling (`Dict`, *optional*):
93
+ Dictionary containing the scaling configuration for the RoPE embeddings. Currently supports two scaling
94
+ strategies: linear and dynamic. Their scaling factor must be a float greater than 1. The expected format is
95
+ `{"type": strategy name, "factor": scaling factor}`. When using this flag, don't update
96
+ `max_position_embeddings` to the expected new maximum.
97
+ attention_bias (`bool`, defaults to `False`, *optional*, defaults to `False`):
98
+ Whether to use a bias in the query, key, value and output projection layers during self-attention.
99
+ attention_dropout (`float`, *optional*, defaults to 0.0):
100
+ The dropout ratio for the attention probabilities.
101
+
102
+ ```python
103
+ >>> from transformers import DeepseekV2Model, DeepseekV2Config
104
+
105
+ >>> # Initializing a Deepseek-V2 style configuration
106
+ >>> configuration = DeepseekV2Config()
107
+
108
+ >>> # Accessing the model configuration
109
+ >>> configuration = model.config
110
+ ```"""
111
+
112
+ model_type = "deepseek_v2"
113
+ keys_to_ignore_at_inference = ["past_key_values"]
114
+
115
+ def __init__(
116
+ self,
117
+ vocab_size=102400,
118
+ hidden_size=4096,
119
+ intermediate_size=11008,
120
+ moe_intermediate_size = 1407,
121
+ num_hidden_layers=30,
122
+ num_attention_heads=32,
123
+ num_key_value_heads=32,
124
+ n_shared_experts = None,
125
+ n_routed_experts = None,
126
+ ep_size = 1,
127
+ routed_scaling_factor = 1.0,
128
+ kv_lora_rank = 512,
129
+ q_lora_rank = 1536,
130
+ qk_rope_head_dim = 64,
131
+ v_head_dim = 128,
132
+ qk_nope_head_dim = 128,
133
+ topk_method = 'gready',
134
+ n_group = None,
135
+ topk_group = None,
136
+ num_experts_per_tok = None,
137
+ moe_layer_freq = 1,
138
+ first_k_dense_replace = 0,
139
+ norm_topk_prob = False,
140
+ scoring_func = 'softmax',
141
+ aux_loss_alpha = 0.001,
142
+ seq_aux = True,
143
+ hidden_act="silu",
144
+ max_position_embeddings=2048,
145
+ initializer_range=0.02,
146
+ rms_norm_eps=1e-6,
147
+ use_cache=True,
148
+ pad_token_id=None,
149
+ bos_token_id=100000,
150
+ eos_token_id=100001,
151
+ pretraining_tp=1,
152
+ tie_word_embeddings=False,
153
+ rope_theta=10000.0,
154
+ rope_scaling=None,
155
+ attention_bias=False,
156
+ attention_dropout=0.0,
157
+ **kwargs,
158
+ ):
159
+ self.vocab_size = vocab_size
160
+ self.max_position_embeddings = max_position_embeddings
161
+ self.hidden_size = hidden_size
162
+ self.intermediate_size = intermediate_size
163
+ self.moe_intermediate_size = moe_intermediate_size
164
+ self.num_hidden_layers = num_hidden_layers
165
+ self.num_attention_heads = num_attention_heads
166
+ self.n_shared_experts = n_shared_experts
167
+ self.n_routed_experts = n_routed_experts
168
+ self.ep_size = ep_size
169
+ self.routed_scaling_factor = routed_scaling_factor
170
+ self.kv_lora_rank = kv_lora_rank
171
+ self.q_lora_rank = q_lora_rank
172
+ self.qk_rope_head_dim = qk_rope_head_dim
173
+ self.v_head_dim = v_head_dim
174
+ self.qk_nope_head_dim = qk_nope_head_dim
175
+ self.topk_method = topk_method
176
+ self.n_group = n_group
177
+ self.topk_group = topk_group
178
+ self.num_experts_per_tok = num_experts_per_tok
179
+ self.moe_layer_freq = moe_layer_freq
180
+ self.first_k_dense_replace = first_k_dense_replace
181
+ self.norm_topk_prob = norm_topk_prob
182
+ self.scoring_func = scoring_func
183
+ self.aux_loss_alpha = aux_loss_alpha
184
+ self.seq_aux = seq_aux
185
+ # for backward compatibility
186
+ if num_key_value_heads is None:
187
+ num_key_value_heads = num_attention_heads
188
+
189
+ self.num_key_value_heads = num_key_value_heads
190
+ self.hidden_act = hidden_act
191
+ self.initializer_range = initializer_range
192
+ self.rms_norm_eps = rms_norm_eps
193
+ self.pretraining_tp = pretraining_tp
194
+ self.use_cache = use_cache
195
+ self.rope_theta = rope_theta
196
+ self.rope_scaling = rope_scaling
197
+ self.attention_bias = attention_bias
198
+ self.attention_dropout = attention_dropout
199
+
200
+ super().__init__(
201
+ pad_token_id=pad_token_id,
202
+ bos_token_id=bos_token_id,
203
+ eos_token_id=eos_token_id,
204
+ tie_word_embeddings=tie_word_embeddings,
205
+ **kwargs,
206
+ )
generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 100000,
4
+ "eos_token_id": 100001,
5
+ "do_sample": true,
6
+ "temperature": 0.3,
7
+ "top_p": 0.95,
8
+ "transformers_version": "4.39.3"
9
+ }
model-00001-of-000004.safetensors ADDED
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+ size 8594887408
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model-00004-of-000004.safetensors ADDED
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model.safetensors.index.json ADDED
The diff for this file is too large to render. See raw diff
 
sample_data/README.md ADDED
@@ -0,0 +1,19 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ This directory includes a few sample datasets to get you started.
2
+
3
+ * `california_housing_data*.csv` is California housing data from the 1990 US
4
+ Census; more information is available at:
5
+ https://docs.google.com/document/d/e/2PACX-1vRhYtsvc5eOR2FWNCwaBiKL6suIOrxJig8LcSBbmCbyYsayia_DvPOOBlXZ4CAlQ5nlDD8kTaIDRwrN/pub
6
+
7
+ * `mnist_*.csv` is a small sample of the
8
+ [MNIST database](https://en.wikipedia.org/wiki/MNIST_database), which is
9
+ described at: http://yann.lecun.com/exdb/mnist/
10
+
11
+ * `anscombe.json` contains a copy of
12
+ [Anscombe's quartet](https://en.wikipedia.org/wiki/Anscombe%27s_quartet); it
13
+ was originally described in
14
+
15
+ Anscombe, F. J. (1973). 'Graphs in Statistical Analysis'. American
16
+ Statistician. 27 (1): 17-21. JSTOR 2682899.
17
+
18
+ and our copy was prepared by the
19
+ [vega_datasets library](https://github.com/altair-viz/vega_datasets/blob/4f67bdaad10f45e3549984e17e1b3088c731503d/vega_datasets/_data/anscombe.json).
sample_data/anscombe.json ADDED
@@ -0,0 +1,49 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {"Series":"I", "X":10.0, "Y":8.04},
3
+ {"Series":"I", "X":8.0, "Y":6.95},
4
+ {"Series":"I", "X":13.0, "Y":7.58},
5
+ {"Series":"I", "X":9.0, "Y":8.81},
6
+ {"Series":"I", "X":11.0, "Y":8.33},
7
+ {"Series":"I", "X":14.0, "Y":9.96},
8
+ {"Series":"I", "X":6.0, "Y":7.24},
9
+ {"Series":"I", "X":4.0, "Y":4.26},
10
+ {"Series":"I", "X":12.0, "Y":10.84},
11
+ {"Series":"I", "X":7.0, "Y":4.81},
12
+ {"Series":"I", "X":5.0, "Y":5.68},
13
+
14
+ {"Series":"II", "X":10.0, "Y":9.14},
15
+ {"Series":"II", "X":8.0, "Y":8.14},
16
+ {"Series":"II", "X":13.0, "Y":8.74},
17
+ {"Series":"II", "X":9.0, "Y":8.77},
18
+ {"Series":"II", "X":11.0, "Y":9.26},
19
+ {"Series":"II", "X":14.0, "Y":8.10},
20
+ {"Series":"II", "X":6.0, "Y":6.13},
21
+ {"Series":"II", "X":4.0, "Y":3.10},
22
+ {"Series":"II", "X":12.0, "Y":9.13},
23
+ {"Series":"II", "X":7.0, "Y":7.26},
24
+ {"Series":"II", "X":5.0, "Y":4.74},
25
+
26
+ {"Series":"III", "X":10.0, "Y":7.46},
27
+ {"Series":"III", "X":8.0, "Y":6.77},
28
+ {"Series":"III", "X":13.0, "Y":12.74},
29
+ {"Series":"III", "X":9.0, "Y":7.11},
30
+ {"Series":"III", "X":11.0, "Y":7.81},
31
+ {"Series":"III", "X":14.0, "Y":8.84},
32
+ {"Series":"III", "X":6.0, "Y":6.08},
33
+ {"Series":"III", "X":4.0, "Y":5.39},
34
+ {"Series":"III", "X":12.0, "Y":8.15},
35
+ {"Series":"III", "X":7.0, "Y":6.42},
36
+ {"Series":"III", "X":5.0, "Y":5.73},
37
+
38
+ {"Series":"IV", "X":8.0, "Y":6.58},
39
+ {"Series":"IV", "X":8.0, "Y":5.76},
40
+ {"Series":"IV", "X":8.0, "Y":7.71},
41
+ {"Series":"IV", "X":8.0, "Y":8.84},
42
+ {"Series":"IV", "X":8.0, "Y":8.47},
43
+ {"Series":"IV", "X":8.0, "Y":7.04},
44
+ {"Series":"IV", "X":8.0, "Y":5.25},
45
+ {"Series":"IV", "X":19.0, "Y":12.50},
46
+ {"Series":"IV", "X":8.0, "Y":5.56},
47
+ {"Series":"IV", "X":8.0, "Y":7.91},
48
+ {"Series":"IV", "X":8.0, "Y":6.89}
49
+ ]
sample_data/california_housing_test.csv ADDED
The diff for this file is too large to render. See raw diff
 
sample_data/california_housing_train.csv ADDED
The diff for this file is too large to render. See raw diff
 
sample_data/mnist_test.csv ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:51c292478d94ec3a01461bdfa82eb0885d262eb09e615679b2d69dedb6ad09e7
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+ size 18289443
sample_data/mnist_train_small.csv ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:1ef64781aa03180f4f5ce504314f058f5d0227277df86060473d973cf43b033e
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+ size 36523880
tokenization_deepseek_fast.py ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ from typing import List, Optional, Union
2
+
3
+
4
+ from transformers.models.llama import LlamaTokenizerFast
5
+
6
+
7
+ class DeepseekTokenizerFast(LlamaTokenizerFast):
8
+
9
+ def convert_ids_to_tokens(
10
+ self, ids: Union[int, List[int]], skip_special_tokens: bool = False
11
+ ) -> Union[str, List[str]]:
12
+ """
13
+ Converts a single index or a sequence of indices in a token or a sequence of tokens, using the vocabulary and
14
+ added tokens.
15
+
16
+ Args:
17
+ ids (`int` or `List[int]`):
18
+ The token id (or token ids) to convert to tokens.
19
+ skip_special_tokens (`bool`, *optional*, defaults to `False`):
20
+ Whether or not to remove special tokens in the decoding.
21
+
22
+ Returns:
23
+ `str` or `List[str]`: The decoded token(s).
24
+ """
25
+ if isinstance(ids, int):
26
+ return self._convert_id_to_token(ids)
27
+ tokens = []
28
+ for index in ids:
29
+ index = int(index)
30
+ if skip_special_tokens and index in self.all_special_ids:
31
+ continue
32
+ token = self._tokenizer.id_to_token(index)
33
+ tokens.append(token if token is not None else "")
34
+ return tokens
35
+
36
+ def _convert_id_to_token(self, index: int) -> Optional[str]:
37
+ token = self._tokenizer.id_to_token(int(index))
38
+ return token if token is not None else ""
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "bos_token": {
5
+ "__type": "AddedToken",
6
+ "content": "<｜begin▁of▁sentence｜>",
7
+ "lstrip": false,
8
+ "normalized": true,
9
+ "rstrip": false,
10
+ "single_word": false
11
+ },
12
+ "clean_up_tokenization_spaces": false,
13
+ "eos_token": {
14
+ "__type": "AddedToken",
15
+ "content": "<｜end▁of▁sentence｜>",
16
+ "lstrip": false,
17
+ "normalized": true,
18
+ "rstrip": false,
19
+ "single_word": false
20
+ },
21
+ "legacy": true,
22
+ "model_max_length": 16384,
23
+ "pad_token": {
24
+ "__type": "AddedToken",
25
+ "content": "<｜end▁of▁sentence｜>",
26
+ "lstrip": false,
27
+ "normalized": true,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ },
31
+ "sp_model_kwargs": {},
32
+ "unk_token": null,
33
+ "tokenizer_class": "LlamaTokenizerFast",
34
+ "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{{ bos_token }}{% for message in messages %}{% if message['role'] == 'user' %}{{ 'User: ' + message['content'] + '\n\n' }}{% elif message['role'] == 'assistant' %}{{ 'Assistant: ' + message['content'] + eos_token }}{% elif message['role'] == 'system' %}{{ message['content'] + '\n\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ 'Assistant:' }}{% endif %}"
35
+ }