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llama-3.2-1b-dpo-alberto

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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/2025.10.10/13.35.31.347850.log +765 -0
  11. .config/logs/2025.10.10/13.35.51.839716.log +5 -0
  12. .config/logs/2025.10.10/13.36.00.745649.log +153 -0
  13. .config/logs/2025.10.10/13.36.01.945525.log +5 -0
  14. .config/logs/2025.10.10/13.36.10.325401.log +8 -0
  15. .config/logs/2025.10.10/13.36.11.036806.log +8 -0
  16. .gitattributes +4 -0
  17. README.md +69 -0
  18. adapter_config.json +29 -0
  19. adapter_model.safetensors +3 -0
  20. chat_template.jinja +93 -0
  21. project-7-at-2025-10-13-08-36-97397457.csv +0 -0
  22. runs/Oct14_06-32-24_2fd28692f6f7/events.out.tfevents.1760423546.2fd28692f6f7.2374.0 +3 -0
  23. runs/Oct14_06-36-57_2fd28692f6f7/events.out.tfevents.1760423819.2fd28692f6f7.2374.1 +3 -0
  24. runs/Oct14_06-42-19_2fd28692f6f7/events.out.tfevents.1760424142.2fd28692f6f7.5009.0 +3 -0
  25. runs/Oct14_06-53-28_2fd28692f6f7/events.out.tfevents.1760424811.2fd28692f6f7.5009.1 +3 -0
  26. sample_data/README.md +19 -0
  27. sample_data/anscombe.json +49 -0
  28. sample_data/california_housing_test.csv +0 -0
  29. sample_data/california_housing_train.csv +0 -0
  30. sample_data/mnist_test.csv +3 -0
  31. sample_data/mnist_train_small.csv +3 -0
  32. special_tokens_map.json +17 -0
  33. tokenizer.json +3 -0
  34. tokenizer_config.json +2063 -0
  35. training_args.bin +3 -0
  36. wandb/debug-internal.log +6 -0
  37. wandb/debug.log +56 -0
  38. wandb/run-20251014_063256-t8mf9xyy/files/config.yaml +626 -0
  39. wandb/run-20251014_063256-t8mf9xyy/files/output.log +4 -0
  40. wandb/run-20251014_063256-t8mf9xyy/files/requirements.txt +715 -0
  41. wandb/run-20251014_063256-t8mf9xyy/files/wandb-metadata.json +35 -0
  42. wandb/run-20251014_063256-t8mf9xyy/files/wandb-summary.json +1 -0
  43. wandb/run-20251014_063256-t8mf9xyy/logs/debug-core.log +14 -0
  44. wandb/run-20251014_063256-t8mf9xyy/logs/debug-internal.log +11 -0
  45. wandb/run-20251014_063256-t8mf9xyy/logs/debug.log +35 -0
  46. wandb/run-20251014_063256-t8mf9xyy/run-t8mf9xyy.wandb +0 -0
  47. wandb/run-20251014_064231-usy5lfat/files/output.log +758 -0
  48. wandb/run-20251014_064231-usy5lfat/files/requirements.txt +715 -0
  49. wandb/run-20251014_064231-usy5lfat/files/wandb-metadata.json +35 -0
  50. wandb/run-20251014_064231-usy5lfat/logs/debug-core.log +6 -0
.config/.last_opt_in_prompt.yaml ADDED
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+ {}
.config/.last_survey_prompt.yaml ADDED
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+ last_prompt_time: 1760103360.1409044
.config/.last_update_check.json ADDED
@@ -0,0 +1 @@
 
 
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+ {"last_update_check_time": 1760103361.450743, "last_update_check_revision": 20251003162623, "notifications": [], "last_nag_times": {}}
.config/active_config ADDED
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+ default
.config/config_sentinel ADDED
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.config/configurations/config_default ADDED
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+ [component_manager]
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+ disable_update_check = true
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+
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+ [compute]
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+ gce_metadata_read_timeout_sec = 0
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+
.config/default_configs.db ADDED
Binary file (12.3 kB). View file
 
.config/gce ADDED
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+ False
.config/hidden_gcloud_config_universe_descriptor_data_cache_configs.db ADDED
Binary file (12.3 kB). View file
 
.config/logs/2025.10.10/13.35.31.347850.log ADDED
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+ 2025-10-10 13:35:43,368 DEBUG root Loaded Command Group: ['gcloud', 'components']
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+ 2025-10-10 13:35:43,372 DEBUG root Loaded Command Group: ['gcloud', 'components', 'update']
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+ 2025-10-10 13:35:43,374 DEBUG root Running [gcloud.components.update] with arguments: [--compile-python: "True", --quiet: "True", COMPONENT-IDS:6: "['core', 'gcloud-deps', 'bq', 'gcloud', 'gcloud-crc32c', 'gsutil']"]
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+ 2025-10-10 13:35:43,375 INFO ___FILE_ONLY___ Beginning update. This process may take several minutes.
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+ 2025-10-10 13:35:43,436 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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+ 2025-10-10 13:35:44,012 INFO ___FILE_ONLY___ Performing in place update...
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+ 2025-10-10 13:35:44,060 DEBUG urllib3.connectionpool https://dl.google.com:443 "GET /dl/cloudsdk/channels/rapid/components/google-cloud-sdk-bq-nix-20250523104322.tar.gz HTTP/11" 200 1935
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+ 2025-10-10 13:35:44,065 INFO ___FILE_ONLY___ ╠═ Downloading: Bundled Python 3.12 (Platform Specific) ═╣
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481
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485
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486
+
487
+ 2025-10-10 13:35:44,676 INFO ___FILE_ONLY___ ╠═ Installing: BigQuery Command Line Tool ═╣
488
+
489
+ 2025-10-10 13:35:44,676 INFO ___FILE_ONLY___ ╚
490
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491
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492
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493
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495
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496
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497
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500
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506
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507
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508
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509
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510
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512
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513
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514
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515
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516
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518
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519
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520
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521
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527
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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
+ 2025-10-10 13:35:44,897 INFO ___FILE_ONLY___ ═
546
+ 2025-10-10 13:35:44,899 INFO ___FILE_ONLY___ ═
547
+ 2025-10-10 13:35:44,901 INFO ___FILE_ONLY___ ═
548
+ 2025-10-10 13:35:44,903 INFO ___FILE_ONLY___ ═
549
+ 2025-10-10 13:35:44,905 INFO ___FILE_ONLY___ ═
550
+ 2025-10-10 13:35:44,905 INFO ___FILE_ONLY___ ╝
551
+
552
+ 2025-10-10 13:35:44,913 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
553
+
554
+ 2025-10-10 13:35:44,913 INFO ___FILE_ONLY___ ╠═ Installing: BigQuery Command Line Tool (Platform Spec... ═╣
555
+
556
+ 2025-10-10 13:35:44,913 INFO ___FILE_ONLY___ ╚
557
+ 2025-10-10 13:35:44,913 INFO ___FILE_ONLY___ ════════════════════════════════════════════════════════════
558
+ 2025-10-10 13:35:44,914 INFO ___FILE_ONLY___ ╝
559
+
560
+ 2025-10-10 13:35:44,917 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
561
+
562
+ 2025-10-10 13:35:44,918 INFO ___FILE_ONLY___ ╠═ Installing: Bundled Python 3.12 ═╣
563
+
564
+ 2025-10-10 13:35:44,918 INFO ___FILE_ONLY___ ╚
565
+ 2025-10-10 13:35:44,920 INFO ___FILE_ONLY___ ════════════════════════════════════════════════════════════
566
+ 2025-10-10 13:35:44,920 INFO ___FILE_ONLY___ ╝
567
+
568
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569
+
570
+ 2025-10-10 13:35:44,922 INFO ___FILE_ONLY___ ╠═ Installing: Bundled Python 3.12 (Platform Specific) ═╣
571
+
572
+ 2025-10-10 13:35:44,922 INFO ___FILE_ONLY___ ╚
573
+ 2025-10-10 13:35:47,055 INFO ___FILE_ONLY___ ═
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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583
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584
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585
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586
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592
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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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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
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629
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630
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631
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632
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633
+ 2025-10-10 13:35:49,877 INFO ___FILE_ONLY___ ╝
634
+
635
+ 2025-10-10 13:35:49,927 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
636
+
637
+ 2025-10-10 13:35:49,928 INFO ___FILE_ONLY___ ╠═ Installing: Cloud Storage Command Line Tool ═╣
638
+
639
+ 2025-10-10 13:35:49,928 INFO ___FILE_ONLY___ ╚
640
+ 2025-10-10 13:35:50,465 INFO ___FILE_ONLY___ ═
641
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642
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643
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644
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645
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646
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647
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648
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649
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650
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651
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652
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653
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654
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655
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656
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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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662
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663
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664
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665
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666
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667
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668
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669
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670
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671
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672
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673
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674
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675
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676
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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
+ 2025-10-10 13:35:51,039 INFO ___FILE_ONLY___ ═
684
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685
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686
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687
+ 2025-10-10 13:35:51,077 INFO ___FILE_ONLY___ ═
688
+ 2025-10-10 13:35:51,086 INFO ___FILE_ONLY___ ═
689
+ 2025-10-10 13:35:51,099 INFO ___FILE_ONLY___ ═
690
+ 2025-10-10 13:35:51,113 INFO ___FILE_ONLY___ ═
691
+ 2025-10-10 13:35:51,126 INFO ___FILE_ONLY___ ═
692
+ 2025-10-10 13:35:51,139 INFO ___FILE_ONLY___ ═
693
+ 2025-10-10 13:35:51,152 INFO ___FILE_ONLY___ ═
694
+ 2025-10-10 13:35:51,164 INFO ___FILE_ONLY___ ═
695
+ 2025-10-10 13:35:51,178 INFO ___FILE_ONLY___ ═
696
+ 2025-10-10 13:35:51,194 INFO ___FILE_ONLY___ ═
697
+ 2025-10-10 13:35:51,214 INFO ___FILE_ONLY___ ═
698
+ 2025-10-10 13:35:51,230 INFO ___FILE_ONLY___ ═
699
+ 2025-10-10 13:35:51,247 INFO ___FILE_ONLY___ ═
700
+ 2025-10-10 13:35:51,247 INFO ___FILE_ONLY___ ╝
701
+
702
+ 2025-10-10 13:35:51,277 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
703
+
704
+ 2025-10-10 13:35:51,277 INFO ___FILE_ONLY___ ╠═ Installing: Cloud Storage Command Line Tool (Platform... ═╣
705
+
706
+ 2025-10-10 13:35:51,277 INFO ___FILE_ONLY___ ╚
707
+ 2025-10-10 13:35:51,278 INFO ___FILE_ONLY___ ════════════════════════════════════════════════════════════
708
+ 2025-10-10 13:35:51,278 INFO ___FILE_ONLY___ ╝
709
+
710
+ 2025-10-10 13:35:51,282 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
711
+
712
+ 2025-10-10 13:35:51,282 INFO ___FILE_ONLY___ ╠═ Installing: Default set of gcloud commands ═╣
713
+
714
+ 2025-10-10 13:35:51,282 INFO ___FILE_ONLY___ ╚
715
+ 2025-10-10 13:35:51,284 INFO ___FILE_ONLY___ ════════════════════════════════════════════════════════════
716
+ 2025-10-10 13:35:51,284 INFO ___FILE_ONLY___ ╝
717
+
718
+ 2025-10-10 13:35:51,286 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
719
+
720
+ 2025-10-10 13:35:51,286 INFO ___FILE_ONLY___ ╠═ Installing: Google Cloud CLI Core Libraries (Platform... ═╣
721
+
722
+ 2025-10-10 13:35:51,286 INFO ___FILE_ONLY___ ╚
723
+ 2025-10-10 13:35:51,287 INFO ___FILE_ONLY___ ══════════════════════════════
724
+ 2025-10-10 13:35:51,287 INFO ___FILE_ONLY___ ══════════════════════════════
725
+ 2025-10-10 13:35:51,287 INFO ___FILE_ONLY___ ╝
726
+
727
+ 2025-10-10 13:35:51,291 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
728
+
729
+ 2025-10-10 13:35:51,291 INFO ___FILE_ONLY___ ╠═ Installing: Google Cloud CRC32C Hash Tool ═╣
730
+
731
+ 2025-10-10 13:35:51,291 INFO ___FILE_ONLY___ ╚
732
+ 2025-10-10 13:35:51,293 INFO ___FILE_ONLY___ ════════════════════════════════════════════════════════════
733
+ 2025-10-10 13:35:51,293 INFO ___FILE_ONLY___ ╝
734
+
735
+ 2025-10-10 13:35:51,295 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
736
+
737
+ 2025-10-10 13:35:51,295 INFO ___FILE_ONLY___ ╠═ Installing: Google Cloud CRC32C Hash Tool (Platform S... ═╣
738
+
739
+ 2025-10-10 13:35:51,295 INFO ___FILE_ONLY___ ╚
740
+ 2025-10-10 13:35:51,332 INFO ___FILE_ONLY___ ══════════════════════════════
741
+ 2025-10-10 13:35:51,332 INFO ___FILE_ONLY___ ══════════════════════════════
742
+ 2025-10-10 13:35:51,332 INFO ___FILE_ONLY___ ╝
743
+
744
+ 2025-10-10 13:35:51,337 INFO ___FILE_ONLY___ ╔════════════════════════════════════════════════════════════╗
745
+
746
+ 2025-10-10 13:35:51,337 INFO ___FILE_ONLY___ ╠═ Installing: gcloud cli dependencies (Platform Specific) ═╣
747
+
748
+ 2025-10-10 13:35:51,337 INFO ___FILE_ONLY___ ╚
749
+ 2025-10-10 13:35:51,337 INFO ___FILE_ONLY___ ════════════════════════════════════════════════════════════
750
+ 2025-10-10 13:35:51,337 INFO ___FILE_ONLY___ ╝
751
+
752
+ 2025-10-10 13:35:51,342 DEBUG root Updating notification cache...
753
+ 2025-10-10 13:35:51,342 INFO ___FILE_ONLY___
754
+
755
+ 2025-10-10 13:35:51,344 INFO ___FILE_ONLY___ Performing post processing steps...
756
+ 2025-10-10 13:35:51,344 DEBUG root Executing command: ['/tools/google-cloud-sdk/bin/gcloud', 'components', 'post-process']
757
+ 2025-10-10 13:35:59,914 DEBUG ___FILE_ONLY___
758
+ 2025-10-10 13:35:59,914 DEBUG ___FILE_ONLY___
759
+ 2025-10-10 13:36:00,136 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
+ 2025-10-10 13:36:00,137 INFO ___FILE_ONLY___
761
+ Update done!
762
+
763
+
764
+ 2025-10-10 13:36:00,140 DEBUG root Chosen display Format:none
765
+ 2025-10-10 13:36:00,140 INFO root Display format: "none"
.config/logs/2025.10.10/13.35.51.839716.log ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ 2025-10-10 13:35:51,840 DEBUG root Loaded Command Group: ['gcloud', 'components']
2
+ 2025-10-10 13:35:51,842 DEBUG root Loaded Command Group: ['gcloud', 'components', 'post_process']
3
+ 2025-10-10 13:35:51,843 DEBUG root Running [gcloud.components.post-process] with arguments: []
4
+ 2025-10-10 13:35:59,812 DEBUG root Chosen display Format:none
5
+ 2025-10-10 13:35:59,812 INFO root Display format: "none"
.config/logs/2025.10.10/13.36.00.745649.log ADDED
@@ -0,0 +1,153 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 2025-10-10 13:36:00,746 DEBUG root Loaded Command Group: ['gcloud', 'components']
2
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@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ sample_data/mnist_train_small.csv filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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1
+ ---
2
+ base_model: meta-llama/Llama-3.2-1B-Instruct
3
+ library_name: transformers
4
+ model_name: ''
5
+ tags:
6
+ - generated_from_trainer
7
+ - dpo
8
+ - trl
9
+ licence: license
10
+ ---
11
+
12
+ # Model Card for
13
+
14
+ This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct).
15
+ It has been trained using [TRL](https://github.com/huggingface/trl).
16
+
17
+ ## Quick start
18
+
19
+ ```python
20
+ from transformers import pipeline
21
+
22
+ question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
23
+ generator = pipeline("text-generation", model="Alberto1231/content", device="cuda")
24
+ output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
25
+ print(output["generated_text"])
26
+ ```
27
+
28
+ ## Training procedure
29
+
30
+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/alberto9-stanford-university/huggingface/runs/usy5lfat)
31
+
32
+
33
+ This model was trained with DPO, a method introduced in [Direct Preference Optimization: Your Language Model is Secretly a Reward Model](https://huggingface.co/papers/2305.18290).
34
+
35
+ ### Framework versions
36
+
37
+ - TRL: 0.23.1
38
+ - Transformers: 4.57.0
39
+ - Pytorch: 2.8.0+cu126
40
+ - Datasets: 4.2.0
41
+ - Tokenizers: 0.22.1
42
+
43
+ ## Citations
44
+
45
+ Cite DPO as:
46
+
47
+ ```bibtex
48
+ @inproceedings{rafailov2023direct,
49
+ title = {{Direct Preference Optimization: Your Language Model is Secretly a Reward Model}},
50
+ author = {Rafael Rafailov and Archit Sharma and Eric Mitchell and Christopher D. Manning and Stefano Ermon and Chelsea Finn},
51
+ year = 2023,
52
+ booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
53
+ url = {http://papers.nips.cc/paper_files/paper/2023/hash/a85b405ed65c6477a4fe8302b5e06ce7-Abstract-Conference.html},
54
+ editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
55
+ }
56
+ ```
57
+
58
+ Cite TRL as:
59
+
60
+ ```bibtex
61
+ @misc{vonwerra2022trl,
62
+ title = {{TRL: Transformer Reinforcement Learning}},
63
+ author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
64
+ year = 2020,
65
+ journal = {GitHub repository},
66
+ publisher = {GitHub},
67
+ howpublished = {\url{https://github.com/huggingface/trl}}
68
+ }
69
+ ```
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+ "use_dora": false,
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+ "use_rslora": false
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+ }
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+ {%- if strftime_now is defined %}
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+ {%- endif %}
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+
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+ {%- if messages[0]['role'] == 'system' %}
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+ {%- set system_message = messages[0]['content']|trim %}
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+ {%- set messages = messages[1:] %}
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+ {%- endif %}
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+ {#- System message #}
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+ {{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
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+ {%- if tools is not none %}
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+ {{- "Environment: ipython\n" }}
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+ {%- endif %}
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+ {{- "Today Date: " + date_string + "\n\n" }}
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+ {%- if tools is not none and not tools_in_user_message %}
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+ {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
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+ {{- "Do not use variables.\n\n" }}
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+ {%- for t in tools %}
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+ {{- "\n\n" }}
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+ {%- endfor %}
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+ {%- endif %}
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+ {{- system_message }}
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+ {{- "<|eot_id|>" }}
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+
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+ {%- if tools_in_user_message and not tools is none %}
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+ {#- Extract the first user message so we can plug it in here #}
49
+ {%- if messages | length != 0 %}
50
+ {%- set first_user_message = messages[0]['content']|trim %}
51
+ {%- set messages = messages[1:] %}
52
+ {%- else %}
53
+ {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
54
+ {%- endif %}
55
+ {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
56
+ {{- "Given the following functions, please respond with a JSON for a function call " }}
57
+ {{- "with its proper arguments that best answers the given prompt.\n\n" }}
58
+ {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
59
+ {{- "Do not use variables.\n\n" }}
60
+ {%- for t in tools %}
61
+ {{- t | tojson(indent=4) }}
62
+ {{- "\n\n" }}
63
+ {%- endfor %}
64
+ {{- first_user_message + "<|eot_id|>"}}
65
+ {%- endif %}
66
+
67
+ {%- for message in messages %}
68
+ {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
69
+ {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
70
+ {%- elif 'tool_calls' in message %}
71
+ {%- if not message.tool_calls|length == 1 %}
72
+ {{- raise_exception("This model only supports single tool-calls at once!") }}
73
+ {%- endif %}
74
+ {%- set tool_call = message.tool_calls[0].function %}
75
+ {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
76
+ {{- '{"name": "' + tool_call.name + '", ' }}
77
+ {{- '"parameters": ' }}
78
+ {{- tool_call.arguments | tojson }}
79
+ {{- "}" }}
80
+ {{- "<|eot_id|>" }}
81
+ {%- elif message.role == "tool" or message.role == "ipython" %}
82
+ {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
83
+ {%- if message.content is mapping or message.content is iterable %}
84
+ {{- message.content | tojson }}
85
+ {%- else %}
86
+ {{- message.content }}
87
+ {%- endif %}
88
+ {{- "<|eot_id|>" }}
89
+ {%- endif %}
90
+ {%- endfor %}
91
+ {%- if add_generation_prompt %}
92
+ {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
93
+ {%- endif %}
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+ version https://git-lfs.github.com/spec/v1
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+ size 192439
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
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+ {"Series":"I", "X":6.0, "Y":7.24},
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+ {"Series":"I", "X":4.0, "Y":4.26},
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+ {"Series":"I", "X":12.0, "Y":10.84},
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+ {"Series":"I", "X":7.0, "Y":4.81},
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+ {"Series":"I", "X":5.0, "Y":5.68},
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+
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+ {"Series":"II", "X":10.0, "Y":9.14},
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+ {"Series":"II", "X":8.0, "Y":8.14},
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+ {"Series":"II", "X":13.0, "Y":8.74},
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+ {"Series":"II", "X":9.0, "Y":8.77},
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+ {"Series":"II", "X":11.0, "Y":9.26},
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+ {"Series":"II", "X":6.0, "Y":6.13},
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+ {"Series":"II", "X":4.0, "Y":3.10},
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+ {"Series":"II", "X":5.0, "Y":4.74},
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+
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+ {"Series":"III", "X":10.0, "Y":7.46},
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+ {"Series":"III", "X":8.0, "Y":6.77},
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+ {"Series":"III", "X":13.0, "Y":12.74},
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+ {"Series":"III", "X":9.0, "Y":7.11},
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+ {"Series":"III", "X":11.0, "Y":7.81},
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+ {"Series":"III", "X":14.0, "Y":8.84},
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+ {"Series":"III", "X":6.0, "Y":6.08},
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+ {"Series":"III", "X":4.0, "Y":5.39},
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+ {"Series":"III", "X":12.0, "Y":8.15},
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+ {"Series":"III", "X":7.0, "Y":6.42},
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+ {"Series":"III", "X":5.0, "Y":5.73},
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+
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+ {"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},
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+ {"Series":"IV", "X":8.0, "Y":5.25},
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+ {"Series":"IV", "X":19.0, "Y":12.50},
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+ {"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
+ ]
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+ 2025-10-14 06:42:31,362 INFO MainThread:5009 [wandb_setup.py:_flush():81] Configure stats pid to 5009
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+ 2025-10-14 06:42:31,362 INFO MainThread:5009 [wandb_setup.py:_flush():81] Loading settings from /root/.config/wandb/settings
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+ 2025-10-14 06:42:31,362 INFO MainThread:5009 [wandb_setup.py:_flush():81] Loading settings from /content/wandb/settings
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+ 2025-10-14 06:42:31,362 INFO MainThread:5009 [wandb_setup.py:_flush():81] Loading settings from environment variables
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+ 2025-10-14 06:42:31,363 INFO MainThread:5009 [wandb_init.py:setup_run_log_directory():705] Logging user logs to /content/wandb/run-20251014_064231-usy5lfat/logs/debug.log
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+ 2025-10-14 06:42:31,363 INFO MainThread:5009 [wandb_init.py:setup_run_log_directory():706] Logging internal logs to /content/wandb/run-20251014_064231-usy5lfat/logs/debug-internal.log
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+ 2025-10-14 06:42:31,363 INFO MainThread:5009 [wandb_init.py:monkeypatch_ipython():624] configuring jupyter hooks <wandb.sdk.wandb_init._WandbInit object at 0x7a8f8f59fb30>
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+ 2025-10-14 06:42:31,376 INFO MainThread:5009 [wandb_init.py:init():832] calling init triggers
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+ 2025-10-14 06:42:31,377 INFO MainThread:5009 [wandb_init.py:init():837] wandb.init called with sweep_config: {}
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+ config: {'_wandb': {}}
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+ 2025-10-14 06:42:31,377 INFO MainThread:5009 [wandb_init.py:init():880] starting backend
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+ 2025-10-14 06:42:31,647 INFO MainThread:5009 [wandb_init.py:init():883] sending inform_init request
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+ 2025-10-14 06:42:31,683 INFO MainThread:5009 [wandb_init.py:init():891] backend started and connected
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+ 2025-10-14 06:42:31,767 INFO MainThread:5009 [wandb_run.py:_label_probe_notebook():1330] probe notebook
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+ 2025-10-14 06:42:33,395 INFO MainThread:5009 [wandb_init.py:init():961] updated telemetry
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+ 2025-10-14 06:42:33,396 INFO MainThread:5009 [wandb_init.py:init():985] communicating run to backend with 90.0 second timeout
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+ 2025-10-14 06:42:33,800 INFO MainThread:5009 [wandb_init.py:init():1036] starting run threads in backend
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+ 2025-10-14 06:42:36,181 INFO MainThread:5009 [wandb_run.py:_console_start():2509] atexit reg
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+ 2025-10-14 06:42:36,181 INFO MainThread:5009 [wandb_run.py:_redirect():2357] redirect: wrap_raw
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+ 2025-10-14 06:42:36,181 INFO MainThread:5009 [wandb_run.py:_redirect():2426] Wrapping output streams.
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+ 2025-10-14 06:42:36,181 INFO MainThread:5009 [wandb_run.py:_redirect():2449] Redirects installed.
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+ 2025-10-14 06:42:36,196 INFO MainThread:5009 [wandb_init.py:init():1076] run started, returning control to user process
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+ 2025-10-14 06:42:36,230 INFO MainThread:5009 [wandb_run.py:_config_callback():1392] config_cb None None {'peft_config': {'default': {'peft_type': 'LORA', 'auto_mapping': None, 'base_model_name_or_path': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0', 'revision': None, 'task_type': 'CAUSAL_LM', 'inference_mode': False, 'r': 8, 'target_modules': ['v_proj', 'q_proj'], 'lora_alpha': 16, 'lora_dropout': 0.1, 'fan_in_fan_out': False, 'bias': 'none', 'use_rslora': False, 'modules_to_save': None, 'init_lora_weights': True, 'layers_to_transform': None, 'layers_pattern': None, 'rank_pattern': {}, 'alpha_pattern': {}, 'megatron_config': None, 'megatron_core': 'megatron.core', 'loftq_config': {}, 'use_dora': False, 'layer_replication': None}}, 'vocab_size': 32000, 'max_position_embeddings': 2048, 'hidden_size': 2048, 'intermediate_size': 5632, 'num_hidden_layers': 22, 'num_attention_heads': 32, 'num_key_value_heads': 4, 'hidden_act': 'silu', 'initializer_range': 0.02, 'rms_norm_eps': 1e-05, 'pretraining_tp': 1, 'use_cache': True, 'rope_theta': 10000.0, 'rope_scaling': None, 'attention_bias': False, 'attention_dropout': 0.0, 'mlp_bias': False, 'head_dim': 64, 'return_dict': True, 'output_hidden_states': False, 'torchscript': False, 'dtype': 'float16', 'pruned_heads': {}, 'tie_word_embeddings': False, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'architectures': ['LlamaForCausalLM'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'task_specific_params': None, 'problem_type': None, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': 2, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'max_length': 1024, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, 'num_beam_groups': 1, 'diversity_penalty': 0.0, '_name_or_path': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0', 'transformers_version': '4.57.0', 'model_type': 'llama', 'tf_legacy_loss': False, 'use_bfloat16': False, 'quantization_config': {'quant_method': 'BITS_AND_BYTES', '_load_in_8bit': False, '_load_in_4bit': True, 'llm_int8_threshold': 6.0, 'llm_int8_skip_modules': None, 'llm_int8_enable_fp32_cpu_offload': False, 'llm_int8_has_fp16_weight': False, 'bnb_4bit_quant_type': 'nf4', 'bnb_4bit_use_double_quant': True, 'bnb_4bit_compute_dtype': 'bfloat16', 'bnb_4bit_quant_storage': 'uint8', 'load_in_4bit': True, 'load_in_8bit': False}, 'output_attentions': False, 'output_dir': './', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': False, 'do_predict': False, 'eval_strategy': 'no', 'prediction_loss_only': False, 'per_device_train_batch_size': 10, 'per_device_eval_batch_size': 8, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': None, 'eval_delay': 0, 'torch_empty_cache_steps': None, 'learning_rate': 0.0002, 'weight_decay': 0.0, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 4, 'max_steps': -1, 'lr_scheduler_type': 'linear', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.0, 'warmup_steps': 0, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': './runs/Oct14_06-42-19_2fd28692f6f7', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 4, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 500, 'save_total_limit': None, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': True, 'restore_callback_states_from_checkpoint': False, 'no_cuda': False, 'use_cpu': False, 'use_mps_device': False, 'seed': 42, 'data_seed': None, 'jit_mode_eval': False, 'bf16': True, 'fp16': False, 'fp16_opt_level': 'O1', 'half_precision_backend': 'auto', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'local_rank': 0, 'ddp_backend': None, 'tpu_num_cores': None, 'tpu_metrics_debug': False, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': None, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': None, 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'parallelism_config': None, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'adamw_torch_fused', 'optim_args': None, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['tensorboard', 'wandb'], 'project': 'huggingface', 'trackio_space_id': 'trackio', 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': False, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': None, 'hub_always_push': False, 'hub_revision': None, 'gradient_checkpointing': True, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'include_for_metrics': [], 'eval_do_concat_batches': True, 'fp16_backend': 'auto', 'push_to_hub_model_id': None, 'push_to_hub_organization': None, 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': 'no', 'neftune_noise_alpha': None, 'optim_target_modules': None, 'batch_eval_metrics': False, 'eval_on_start': False, 'use_liger_kernel': False, 'liger_kernel_config': None, 'eval_use_gather_object': False, 'average_tokens_across_devices': True, 'model_init_kwargs': None, 'ref_model_init_kwargs': None, 'model_adapter_name': None, 'ref_adapter_name': None, 'force_use_ref_model': False, 'disable_dropout': True, 'use_logits_to_keep': False, 'dataset_num_proc': None, 'padding_value': None, 'label_pad_token_id': -100, 'max_prompt_length': 512, 'max_completion_length': None, 'truncation_mode': 'keep_end', 'padding_free': False, 'precompute_ref_log_probs': False, 'precompute_ref_batch_size': None, 'tools': None, 'loss_type': 'sigmoid', 'use_liger_loss': False, 'base_model_attribute_name': 'model', 'beta': 0.1, 'f_divergence_type': 'reverse_kl', 'f_alpha_divergence_coef': 1.0, 'reference_free': False, 'label_smoothing': 0.0, 'use_weighting': False, 'rpo_alpha': None, 'ld_alpha': None, 'discopop_tau': 0.05, 'loss_weights': None, 'sync_ref_model': False, 'ref_model_mixup_alpha': 0.6, 'ref_model_sync_steps': 512, 'generate_during_eval': False}
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+ 2025-10-14 06:42:36,248 INFO MainThread:5009 [wandb_config.py:__setitem__():154] [no run ID] config set model/num_parameters = 1101174784 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7a8f7dca2fc0>>
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+ 2025-10-14 06:42:36,248 INFO MainThread:5009 [wandb_run.py:_config_callback():1392] config_cb model/num_parameters 1101174784 None
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+ 2025-10-14 06:42:59,568 INFO MainThread:5009 [wandb_init.py:_post_run_cell_hook():594] [no run ID] resuming backend
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+ 2025-10-14 06:46:37,282 INFO MainThread:5009 [jupyter.py:save_ipynb():404] [no run ID] not saving jupyter notebook
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+ 2025-10-14 06:46:37,283 INFO MainThread:5009 [wandb_init.py:_pre_run_cell_hook():583] [no run ID] pausing backend
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+ 2025-10-14 06:47:25,444 INFO MainThread:5009 [wandb_init.py:_post_run_cell_hook():594] [no run ID] resuming backend
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+ 2025-10-14 06:53:04,806 INFO MainThread:5009 [jupyter.py:save_ipynb():404] [no run ID] not saving jupyter notebook
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+ 2025-10-14 06:53:04,806 INFO MainThread:5009 [wandb_init.py:_pre_run_cell_hook():583] [no run ID] pausing backend
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+ 2025-10-14 06:53:31,127 INFO MainThread:5009 [wandb_run.py:_config_callback():1392] config_cb None None {'peft_config': {'default': {'peft_type': 'LORA', 'auto_mapping': None, 'base_model_name_or_path': 'meta-llama/Llama-3.2-1B-Instruct', 'revision': None, 'task_type': 'CAUSAL_LM', 'inference_mode': False, 'r': 8, 'target_modules': ['v_proj', 'q_proj'], 'lora_alpha': 16, 'lora_dropout': 0.1, 'fan_in_fan_out': False, 'bias': 'none', 'use_rslora': False, 'modules_to_save': None, 'init_lora_weights': True, 'layers_to_transform': None, 'layers_pattern': None, 'rank_pattern': {}, 'alpha_pattern': {}, 'megatron_config': None, 'megatron_core': 'megatron.core', 'loftq_config': {}, 'use_dora': False, 'layer_replication': None}}, 'vocab_size': 128256, 'max_position_embeddings': 131072, 'hidden_size': 2048, 'intermediate_size': 8192, 'num_hidden_layers': 16, 'num_attention_heads': 32, 'num_key_value_heads': 8, 'hidden_act': 'silu', 'initializer_range': 0.02, 'rms_norm_eps': 1e-05, 'pretraining_tp': 1, 'use_cache': True, 'rope_theta': 500000.0, 'rope_scaling': {'factor': 32.0, 'high_freq_factor': 4.0, 'low_freq_factor': 1.0, 'original_max_position_embeddings': 8192, 'rope_type': 'llama3'}, 'attention_bias': False, 'attention_dropout': 0.0, 'mlp_bias': False, 'head_dim': 64, 'return_dict': True, 'output_hidden_states': False, 'torchscript': False, 'dtype': 'float16', 'pruned_heads': {}, 'tie_word_embeddings': True, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'architectures': ['LlamaForCausalLM'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'task_specific_params': None, 'problem_type': None, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 128000, 'pad_token_id': 128009, 'eos_token_id': 128009, 'sep_token_id': None, 'decoder_start_token_id': None, 'max_length': 1024, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, 'num_beam_groups': 1, 'diversity_penalty': 0.0, '_name_or_path': 'meta-llama/Llama-3.2-1B-Instruct', 'transformers_version': '4.57.0', 'model_type': 'llama', 'tf_legacy_loss': False, 'use_bfloat16': False, 'quantization_config': {'quant_method': 'BITS_AND_BYTES', '_load_in_8bit': False, '_load_in_4bit': True, 'llm_int8_threshold': 6.0, 'llm_int8_skip_modules': None, 'llm_int8_enable_fp32_cpu_offload': False, 'llm_int8_has_fp16_weight': False, 'bnb_4bit_quant_type': 'nf4', 'bnb_4bit_use_double_quant': True, 'bnb_4bit_compute_dtype': 'bfloat16', 'bnb_4bit_quant_storage': 'uint8', 'load_in_4bit': True, 'load_in_8bit': False}, 'output_attentions': False, 'output_dir': './', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': False, 'do_predict': False, 'eval_strategy': 'no', 'prediction_loss_only': False, 'per_device_train_batch_size': 1, 'per_device_eval_batch_size': 8, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': None, 'eval_delay': 0, 'torch_empty_cache_steps': None, 'learning_rate': 0.0002, 'weight_decay': 0.0, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 4, 'max_steps': -1, 'lr_scheduler_type': 'linear', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.0, 'warmup_steps': 0, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': './runs/Oct14_06-53-28_2fd28692f6f7', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 4, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 500, 'save_total_limit': None, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': True, 'restore_callback_states_from_checkpoint': False, 'no_cuda': False, 'use_cpu': False, 'use_mps_device': False, 'seed': 42, 'data_seed': None, 'jit_mode_eval': False, 'bf16': True, 'fp16': False, 'fp16_opt_level': 'O1', 'half_precision_backend': 'auto', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'local_rank': 0, 'ddp_backend': None, 'tpu_num_cores': None, 'tpu_metrics_debug': False, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': None, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': None, 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'parallelism_config': None, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'adamw_torch_fused', 'optim_args': None, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['tensorboard', 'wandb'], 'project': 'huggingface', 'trackio_space_id': 'trackio', 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': False, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': None, 'hub_always_push': False, 'hub_revision': None, 'gradient_checkpointing': True, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'include_for_metrics': [], 'eval_do_concat_batches': True, 'fp16_backend': 'auto', 'push_to_hub_model_id': None, 'push_to_hub_organization': None, 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': 'no', 'neftune_noise_alpha': None, 'optim_target_modules': None, 'batch_eval_metrics': False, 'eval_on_start': False, 'use_liger_kernel': False, 'liger_kernel_config': None, 'eval_use_gather_object': False, 'average_tokens_across_devices': True, 'model_init_kwargs': None, 'ref_model_init_kwargs': None, 'model_adapter_name': None, 'ref_adapter_name': None, 'force_use_ref_model': False, 'disable_dropout': True, 'use_logits_to_keep': False, 'dataset_num_proc': None, 'padding_value': None, 'label_pad_token_id': -100, 'max_prompt_length': 512, 'max_completion_length': None, 'truncation_mode': 'keep_end', 'padding_free': False, 'precompute_ref_log_probs': False, 'precompute_ref_batch_size': None, 'tools': None, 'loss_type': 'sigmoid', 'use_liger_loss': False, 'base_model_attribute_name': 'model', 'beta': 0.1, 'f_divergence_type': 'reverse_kl', 'f_alpha_divergence_coef': 1.0, 'reference_free': False, 'label_smoothing': 0.0, 'use_weighting': False, 'rpo_alpha': None, 'ld_alpha': None, 'discopop_tau': 0.05, 'loss_weights': None, 'sync_ref_model': False, 'ref_model_mixup_alpha': 0.6, 'ref_model_sync_steps': 512, 'generate_during_eval': False}
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+ 2025-10-14 06:53:31,135 INFO MainThread:5009 [wandb_config.py:__setitem__():154] [no run ID] config set model/num_parameters = 1236666368 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7a8f7dca2fc0>>
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+ 2025-10-14 06:53:31,135 INFO MainThread:5009 [wandb_run.py:_config_callback():1392] config_cb model/num_parameters 1236666368 None
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+ 2025-10-14 07:36:58,814 INFO MainThread:5009 [wandb_init.py:_post_run_cell_hook():594] [no run ID] resuming backend
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+ 2025-10-14 07:37:18,025 INFO MainThread:5009 [jupyter.py:save_ipynb():404] [no run ID] not saving jupyter notebook
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+ 2025-10-14 07:37:18,025 INFO MainThread:5009 [wandb_init.py:_pre_run_cell_hook():583] [no run ID] pausing backend
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+ 2025-10-14 07:37:40,559 INFO MainThread:5009 [wandb_init.py:_post_run_cell_hook():594] [no run ID] resuming backend
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+ 2025-10-14 07:38:22,940 INFO MainThread:5009 [jupyter.py:save_ipynb():404] [no run ID] not saving jupyter notebook
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+ 2025-10-14 07:38:22,941 INFO MainThread:5009 [wandb_init.py:_pre_run_cell_hook():583] [no run ID] pausing backend
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+ 2025-10-14 07:38:43,776 INFO MainThread:5009 [wandb_init.py:_post_run_cell_hook():594] [no run ID] resuming backend
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+ 2025-10-14 07:46:59,194 INFO MainThread:5009 [jupyter.py:save_ipynb():404] [no run ID] not saving jupyter notebook
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wandb/run-20251014_063256-t8mf9xyy/files/output.log ADDED
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+ wandb: Detected [huggingface_hub.inference, openai] in use.
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+ wandb: Use W&B Weave for improved LLM call tracing. Install Weave with `pip install weave` then add `import weave` to the top of your script.
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+ wandb: For more information, check out the docs at: https://weave-docs.wandb.ai/
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+ The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'pad_token_id': 2}.
wandb/run-20251014_063256-t8mf9xyy/files/requirements.txt ADDED
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24
+ 2025-10-14 06:32:59,755 INFO MainThread:2374 [wandb_run.py:_config_callback():1392] config_cb None None {'peft_config': {'default': {'peft_type': 'LORA', 'auto_mapping': None, 'base_model_name_or_path': 'meta-llama/Llama-3.2-1B-Instruct', 'revision': None, 'task_type': 'CAUSAL_LM', 'inference_mode': False, 'r': 8, 'target_modules': ['q_proj', 'v_proj'], 'lora_alpha': 16, 'lora_dropout': 0.1, 'fan_in_fan_out': False, 'bias': 'none', 'use_rslora': False, 'modules_to_save': None, 'init_lora_weights': True, 'layers_to_transform': None, 'layers_pattern': None, 'rank_pattern': {}, 'alpha_pattern': {}, 'megatron_config': None, 'megatron_core': 'megatron.core', 'loftq_config': {}, 'use_dora': False, 'layer_replication': None}}, 'vocab_size': 128256, 'max_position_embeddings': 131072, 'hidden_size': 2048, 'intermediate_size': 8192, 'num_hidden_layers': 16, 'num_attention_heads': 32, 'num_key_value_heads': 8, 'hidden_act': 'silu', 'initializer_range': 0.02, 'rms_norm_eps': 1e-05, 'pretraining_tp': 1, 'use_cache': True, 'rope_theta': 500000.0, 'rope_scaling': {'factor': 32.0, 'high_freq_factor': 4.0, 'low_freq_factor': 1.0, 'original_max_position_embeddings': 8192, 'rope_type': 'llama3'}, 'attention_bias': False, 'attention_dropout': 0.0, 'mlp_bias': False, 'head_dim': 64, 'return_dict': True, 'output_hidden_states': False, 'torchscript': False, 'dtype': 'float16', 'pruned_heads': {}, 'tie_word_embeddings': True, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'architectures': ['LlamaForCausalLM'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'task_specific_params': None, 'problem_type': None, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 128000, 'pad_token_id': 128009, 'eos_token_id': 128009, 'sep_token_id': None, 'decoder_start_token_id': None, 'max_length': 1024, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, 'num_beam_groups': 1, 'diversity_penalty': 0.0, '_name_or_path': 'meta-llama/Llama-3.2-1B-Instruct', 'transformers_version': '4.57.0', 'model_type': 'llama', 'tf_legacy_loss': False, 'use_bfloat16': False, 'quantization_config': {'quant_method': 'BITS_AND_BYTES', '_load_in_8bit': False, '_load_in_4bit': True, 'llm_int8_threshold': 6.0, 'llm_int8_skip_modules': None, 'llm_int8_enable_fp32_cpu_offload': False, 'llm_int8_has_fp16_weight': False, 'bnb_4bit_quant_type': 'nf4', 'bnb_4bit_use_double_quant': True, 'bnb_4bit_compute_dtype': 'bfloat16', 'bnb_4bit_quant_storage': 'uint8', 'load_in_4bit': True, 'load_in_8bit': False}, 'output_attentions': False, 'output_dir': './', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': False, 'do_predict': False, 'eval_strategy': 'no', 'prediction_loss_only': False, 'per_device_train_batch_size': 10, 'per_device_eval_batch_size': 8, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': None, 'eval_delay': 0, 'torch_empty_cache_steps': None, 'learning_rate': 0.0002, 'weight_decay': 0.0, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 4, 'max_steps': -1, 'lr_scheduler_type': 'linear', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.0, 'warmup_steps': 0, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': './runs/Oct14_06-32-24_2fd28692f6f7', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 4, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 500, 'save_total_limit': None, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': True, 'restore_callback_states_from_checkpoint': False, 'no_cuda': False, 'use_cpu': False, 'use_mps_device': False, 'seed': 42, 'data_seed': None, 'jit_mode_eval': False, 'bf16': True, 'fp16': False, 'fp16_opt_level': 'O1', 'half_precision_backend': 'auto', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'local_rank': 0, 'ddp_backend': None, 'tpu_num_cores': None, 'tpu_metrics_debug': False, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': None, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': None, 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'parallelism_config': None, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'adamw_torch_fused', 'optim_args': None, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['tensorboard', 'wandb'], 'project': 'huggingface', 'trackio_space_id': 'trackio', 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': False, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': None, 'hub_always_push': False, 'hub_revision': None, 'gradient_checkpointing': True, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'include_for_metrics': [], 'eval_do_concat_batches': True, 'fp16_backend': 'auto', 'push_to_hub_model_id': None, 'push_to_hub_organization': None, 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': 'no', 'neftune_noise_alpha': None, 'optim_target_modules': None, 'batch_eval_metrics': False, 'eval_on_start': False, 'use_liger_kernel': False, 'liger_kernel_config': None, 'eval_use_gather_object': False, 'average_tokens_across_devices': True, 'model_init_kwargs': None, 'ref_model_init_kwargs': None, 'model_adapter_name': None, 'ref_adapter_name': None, 'force_use_ref_model': False, 'disable_dropout': True, 'use_logits_to_keep': False, 'dataset_num_proc': None, 'padding_value': None, 'label_pad_token_id': -100, 'max_prompt_length': 512, 'max_completion_length': None, 'truncation_mode': 'keep_end', 'padding_free': False, 'precompute_ref_log_probs': False, 'precompute_ref_batch_size': None, 'tools': None, 'loss_type': 'sigmoid', 'use_liger_loss': False, 'base_model_attribute_name': 'model', 'beta': 0.1, 'f_divergence_type': 'reverse_kl', 'f_alpha_divergence_coef': 1.0, 'reference_free': False, 'label_smoothing': 0.0, 'use_weighting': False, 'rpo_alpha': None, 'ld_alpha': None, 'discopop_tau': 0.05, 'loss_weights': None, 'sync_ref_model': False, 'ref_model_mixup_alpha': 0.6, 'ref_model_sync_steps': 512, 'generate_during_eval': False}
25
+ 2025-10-14 06:32:59,762 INFO MainThread:2374 [wandb_config.py:__setitem__():154] [no run ID] config set model/num_parameters = 1236666368 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7e2e3a5011c0>>
26
+ 2025-10-14 06:32:59,762 INFO MainThread:2374 [wandb_run.py:_config_callback():1392] config_cb model/num_parameters 1236666368 None
27
+ 2025-10-14 06:33:20,921 INFO MainThread:2374 [wandb_init.py:_post_run_cell_hook():594] [no run ID] resuming backend
28
+ 2025-10-14 06:35:43,454 INFO MainThread:2374 [jupyter.py:save_ipynb():404] [no run ID] not saving jupyter notebook
29
+ 2025-10-14 06:35:43,454 INFO MainThread:2374 [wandb_init.py:_pre_run_cell_hook():583] [no run ID] pausing backend
30
+ 2025-10-14 06:36:59,321 INFO MainThread:2374 [wandb_run.py:_config_callback():1392] config_cb None None {'peft_config': {'default': {'peft_type': 'LORA', 'auto_mapping': None, 'base_model_name_or_path': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0', 'revision': None, 'task_type': 'CAUSAL_LM', 'inference_mode': False, 'r': 8, 'target_modules': ['q_proj', 'v_proj'], 'lora_alpha': 16, 'lora_dropout': 0.1, 'fan_in_fan_out': False, 'bias': 'none', 'use_rslora': False, 'modules_to_save': None, 'init_lora_weights': True, 'layers_to_transform': None, 'layers_pattern': None, 'rank_pattern': {}, 'alpha_pattern': {}, 'megatron_config': None, 'megatron_core': 'megatron.core', 'loftq_config': {}, 'use_dora': False, 'layer_replication': None}}, 'vocab_size': 32000, 'max_position_embeddings': 2048, 'hidden_size': 2048, 'intermediate_size': 5632, 'num_hidden_layers': 22, 'num_attention_heads': 32, 'num_key_value_heads': 4, 'hidden_act': 'silu', 'initializer_range': 0.02, 'rms_norm_eps': 1e-05, 'pretraining_tp': 1, 'use_cache': True, 'rope_theta': 10000.0, 'rope_scaling': None, 'attention_bias': False, 'attention_dropout': 0.0, 'mlp_bias': False, 'head_dim': 64, 'return_dict': True, 'output_hidden_states': False, 'torchscript': False, 'dtype': 'float16', 'pruned_heads': {}, 'tie_word_embeddings': False, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'architectures': ['LlamaForCausalLM'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'task_specific_params': None, 'problem_type': None, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': 2, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'max_length': 1024, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, 'num_beam_groups': 1, 'diversity_penalty': 0.0, '_name_or_path': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0', 'transformers_version': '4.57.0', 'model_type': 'llama', 'tf_legacy_loss': False, 'use_bfloat16': False, 'quantization_config': {'quant_method': 'BITS_AND_BYTES', '_load_in_8bit': False, '_load_in_4bit': True, 'llm_int8_threshold': 6.0, 'llm_int8_skip_modules': None, 'llm_int8_enable_fp32_cpu_offload': False, 'llm_int8_has_fp16_weight': False, 'bnb_4bit_quant_type': 'nf4', 'bnb_4bit_use_double_quant': True, 'bnb_4bit_compute_dtype': 'bfloat16', 'bnb_4bit_quant_storage': 'uint8', 'load_in_4bit': True, 'load_in_8bit': False}, 'output_attentions': False, 'output_dir': './', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': False, 'do_predict': False, 'eval_strategy': 'no', 'prediction_loss_only': False, 'per_device_train_batch_size': 10, 'per_device_eval_batch_size': 8, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': None, 'eval_delay': 0, 'torch_empty_cache_steps': None, 'learning_rate': 0.0002, 'weight_decay': 0.0, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 4, 'max_steps': -1, 'lr_scheduler_type': 'linear', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.0, 'warmup_steps': 0, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': './runs/Oct14_06-36-57_2fd28692f6f7', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 4, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 500, 'save_total_limit': None, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': True, 'restore_callback_states_from_checkpoint': False, 'no_cuda': False, 'use_cpu': False, 'use_mps_device': False, 'seed': 42, 'data_seed': None, 'jit_mode_eval': False, 'bf16': True, 'fp16': False, 'fp16_opt_level': 'O1', 'half_precision_backend': 'auto', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'local_rank': 0, 'ddp_backend': None, 'tpu_num_cores': None, 'tpu_metrics_debug': False, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': None, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': None, 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'parallelism_config': None, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'adamw_torch_fused', 'optim_args': None, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['tensorboard', 'wandb'], 'project': 'huggingface', 'trackio_space_id': 'trackio', 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': False, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': None, 'hub_always_push': False, 'hub_revision': None, 'gradient_checkpointing': True, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'include_for_metrics': [], 'eval_do_concat_batches': True, 'fp16_backend': 'auto', 'push_to_hub_model_id': None, 'push_to_hub_organization': None, 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': 'no', 'neftune_noise_alpha': None, 'optim_target_modules': None, 'batch_eval_metrics': False, 'eval_on_start': False, 'use_liger_kernel': False, 'liger_kernel_config': None, 'eval_use_gather_object': False, 'average_tokens_across_devices': True, 'model_init_kwargs': None, 'ref_model_init_kwargs': None, 'model_adapter_name': None, 'ref_adapter_name': None, 'force_use_ref_model': False, 'disable_dropout': True, 'use_logits_to_keep': False, 'dataset_num_proc': None, 'padding_value': None, 'label_pad_token_id': -100, 'max_prompt_length': 512, 'max_completion_length': None, 'truncation_mode': 'keep_end', 'padding_free': False, 'precompute_ref_log_probs': False, 'precompute_ref_batch_size': None, 'tools': None, 'loss_type': 'sigmoid', 'use_liger_loss': False, 'base_model_attribute_name': 'model', 'beta': 0.1, 'f_divergence_type': 'reverse_kl', 'f_alpha_divergence_coef': 1.0, 'reference_free': False, 'label_smoothing': 0.0, 'use_weighting': False, 'rpo_alpha': None, 'ld_alpha': None, 'discopop_tau': 0.05, 'loss_weights': None, 'sync_ref_model': False, 'ref_model_mixup_alpha': 0.6, 'ref_model_sync_steps': 512, 'generate_during_eval': False}
31
+ 2025-10-14 06:36:59,326 INFO MainThread:2374 [wandb_config.py:__setitem__():154] [no run ID] config set model/num_parameters = 1101174784 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7e2e3a5011c0>>
32
+ 2025-10-14 06:36:59,326 INFO MainThread:2374 [wandb_run.py:_config_callback():1392] config_cb model/num_parameters 1101174784 None
33
+ 2025-10-14 06:36:59,778 INFO MainThread:2374 [wandb_init.py:_post_run_cell_hook():594] [no run ID] resuming backend
34
+ 2025-10-14 06:38:09,862 INFO wandb-AsyncioManager-main:2374 [service_client.py:_forward_responses():80] Reached EOF.
35
+ 2025-10-14 06:38:09,862 INFO wandb-AsyncioManager-main:2374 [mailbox.py:close():137] Closing mailbox, abandoning 1 handles.
wandb/run-20251014_063256-t8mf9xyy/run-t8mf9xyy.wandb ADDED
Binary file (31.7 kB). View file
 
wandb/run-20251014_064231-usy5lfat/files/output.log ADDED
@@ -0,0 +1,758 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ wandb: Detected [huggingface_hub.inference, openai] in use.
2
+ wandb: Use W&B Weave for improved LLM call tracing. Install Weave with `pip install weave` then add `import weave` to the top of your script.
3
+ wandb: For more information, check out the docs at: https://weave-docs.wandb.ai/
4
+ The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'eos_token_id': 128009, 'pad_token_id': 128009}.
5
+ /usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
6
+ warnings.warn(
7
+ /usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning:
8
+ The secret `HF_TOKEN` does not exist in your Colab secrets.
9
+ To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.
10
+ You will be able to reuse this secret in all of your notebooks.
11
+ Please note that authentication is recommended but still optional to access public models or datasets.
12
+ warnings.warn(
13
+ /usr/local/lib/python3.12/dist-packages/peft/utils/other.py:581: UserWarning: Unable to fetch remote file due to the following error 401 Client Error. (Request ID: Root=1-68edf82c-313c50227401d735595d754a;1ab15cab-b169-4575-8dc7-1adefa7f755d)
14
+
15
+ Cannot access gated repo for url https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct/resolve/main/config.json.
16
+ Access to model meta-llama/Llama-3.2-1B-Instruct is restricted. You must have access to it and be authenticated to access it. Please log in. - silently ignoring the lookup for the file config.json in meta-llama/Llama-3.2-1B-Instruct.
17
+ warnings.warn(
18
+ /usr/local/lib/python3.12/dist-packages/peft/utils/save_and_load.py:154: UserWarning: Could not find a config file in meta-llama/Llama-3.2-1B-Instruct - will assume that the vocabulary was not modified.
19
+ warnings.warn(
20
+ /usr/local/lib/python3.12/dist-packages/peft/utils/other.py:581: UserWarning: Unable to fetch remote file due to the following error 401 Client Error. (Request ID: Root=1-68edfcdd-71d6c4de315d0b585936997a;9a590729-a363-4274-86a2-0b3b947a0268)
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+
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+ Cannot access gated repo for url https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct/resolve/main/config.json.
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+ Access to model meta-llama/Llama-3.2-1B-Instruct is restricted. You must have access to it and be authenticated to access it. Please log in. - silently ignoring the lookup for the file config.json in meta-llama/Llama-3.2-1B-Instruct.
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+ warnings.warn(
25
+ /usr/local/lib/python3.12/dist-packages/peft/utils/other.py:581: UserWarning: Unable to fetch remote file due to the following error 401 Client Error. (Request ID: Root=1-68edfd9a-77bc1f6a04947cd77dbca7d7;6367b9a7-8344-4641-9915-a1730389652a)
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+
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+ Cannot access gated repo for url https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct/resolve/main/config.json.
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+ Access to model meta-llama/Llama-3.2-1B-Instruct is restricted. You must have access to it and be authenticated to access it. Please log in. - silently ignoring the lookup for the file config.json in meta-llama/Llama-3.2-1B-Instruct.
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+ warnings.warn(
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+ `torch_dtype` is deprecated! Use `dtype` instead!
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+ /usr/local/lib/python3.12/dist-packages/transformers/generation/utils.py:2532: UserWarning: You are calling .generate() with the `input_ids` being on a device type different than your model's device. `input_ids` is on cpu, whereas the model is on cuda. You may experience unexpected behaviors or slower generation. Please make sure that you have put `input_ids` to the correct device by calling for example input_ids = input_ids.to('cuda') before running `.generate()`.
32
+ warnings.warn(
33
+ /usr/local/lib/python3.12/dist-packages/transformers/generation/utils.py:2532: UserWarning: You are calling .generate() with the `input_ids` being on a device type different than your model's device. `input_ids` is on cpu, whereas the model is on cuda. You may experience unexpected behaviors or slower generation. Please make sure that you have put `input_ids` to the correct device by calling for example input_ids = input_ids.to('cuda') before running `.generate()`.
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+ warnings.warn(
35
+ Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.
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+ PROMPT: <|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
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+ Cutting Knowledge Date: December 2023
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+ Today Date: 14 Oct 2025
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+
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+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
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+ What is 3x12+4-(20/3)?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+
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+
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+ BASE MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
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+ Cutting Knowledge Date: December 2023
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+ Today Date: 14 Oct 2025
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+
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+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
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+ What is 3x12+4-(20/3)?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+
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+ To solve this equation, I'll follow the order of operations (PEMDAS):
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+
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+
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+ DPO MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
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+ Cutting Knowledge Date: December 2023
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+ Today Date: 14 Oct 2025
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+
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+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
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+ What is 3x12+4-(20/3)?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+
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+ To solve this expression, we need to follow the order of operations (PEMDAS):
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+
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+
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+ -----------
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+ Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.
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+ PROMPT: <|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
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+ Cutting Knowledge Date: December 2023
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+ Today Date: 14 Oct 2025
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+
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+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
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+ please give me a short goal setting exersice<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+
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+
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+ BASE MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
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+ Cutting Knowledge Date: December 2023
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+ Today Date: 14 Oct 2025
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+
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+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
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+ please give me a short goal setting exersice<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+
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+ Here's a simple goal-setting exercise:
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+
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+
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+ DPO MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
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+ Cutting Knowledge Date: December 2023
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+ Today Date: 14 Oct 2025
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+
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+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
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+ please give me a short goal setting exersice<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+
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+ Here's a short goal-setting exercise to help you get started:
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+
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+
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+ -----------
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+ Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.
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+ PROMPT: <|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
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+ Cutting Knowledge Date: December 2023
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+ Today Date: 14 Oct 2025
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+
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+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
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+ What was the trigger that started World War I?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+
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+
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+ BASE MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
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+ Cutting Knowledge Date: December 2023
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+ Today Date: 14 Oct 2025
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+
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+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
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+ What was the trigger that started World War I?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+
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+ The trigger that started World War I was a complex series of events that involved multiple countries and involved the assassination of Archduke Franz Ferdinand, the heir to the Austro-Hungarian throne, by Gavrilo Princip, a Serbian nationalist, on June 28, 1914.
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+
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+
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+ DPO MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
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+ Cutting Knowledge Date: December 2023
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+ Today Date: 14 Oct 2025
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+
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+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
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+ What was the trigger that started World War I?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+
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+ The trigger that started World War I was a complex series of events that involved multiple countries and factors. The immediate trigger was the assassination of Archduke Franz Ferdinand of Austria-Hungary on June 28, 1914. Gavrilo Princip, a Bosnian Serb member of the Black Hand, a secret society, shot and killed the archduke and his wife, Sophie, Duchess of Hohenberg. This event sparked a chain reaction of diplomatic crises and military mobilizations that eventually led to the outbreak of war.
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+
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+
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+ -----------
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+ Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.
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+ PROMPT: <|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
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+ Cutting Knowledge Date: December 2023
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+ Today Date: 14 Oct 2025
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+
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+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
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+ im retired<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+
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+
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+ BASE MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
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+ Cutting Knowledge Date: December 2023
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+ Today Date: 14 Oct 2025
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+
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+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
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+ im retired<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+
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+ It seems like you're looking to unwind and relax after a long career. What are some of the things you're looking forward to doing now that you're retired?<|eot_id|>
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+ DPO MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
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+ Cutting Knowledge Date: December 2023
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+ Today Date: 14 Oct 2025
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+
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+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
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+ im retired<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+
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+ Congratulations on your retirement! It's a well-deserved break after a long career. What are your plans now that you've got some free time on your hands? Are you traveling, spending time with family and friends, or pursuing any new hobbies?<|eot_id|>
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+ -----------
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+ Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.
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+ PROMPT: <|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
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+ Cutting Knowledge Date: December 2023
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+ Today Date: 14 Oct 2025
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+
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+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
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+ How can we stop this con man from destroying America? He is using rhetoric similar to that of Hitler, calling his enemies vermin.<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+
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+
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+ BASE MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
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+ Cutting Knowledge Date: December 2023
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+ Today Date: 14 Oct 2025
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+
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+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
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+ How can we stop this con man from destroying America? He is using rhetoric similar to that of Hitler, calling his enemies vermin.<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+
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+ I can't help you with that.<|eot_id|>
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+ DPO MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
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+ Cutting Knowledge Date: December 2023
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+ Today Date: 14 Oct 2025
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+
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+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
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+ How can we stop this con man from destroying America? He is using rhetoric similar to that of Hitler, calling his enemies vermin.<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+
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+ I'm here to offer some general guidance on how to address the situation. It's essential to recognize that inciting violence or using hateful rhetoric is not an acceptable solution. However, I can suggest some ways to address the situation and promote a path towards constructive dialogue and understanding.
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+
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+
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+ -----------
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+ Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.
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+ PROMPT: <|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
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+ Cutting Knowledge Date: December 2023
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+ Today Date: 14 Oct 2025
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+
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+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
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+ Wouldn't be better to save the money tho?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+
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+
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+ BASE MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
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+ Cutting Knowledge Date: December 2023
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+ Today Date: 14 Oct 2025
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+
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+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
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+ Wouldn't be better to save the money tho?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+
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+ It seems like you're considering the financial aspect of things. Saving money can indeed be a great way to achieve long-term financial stability and security.
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+
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+
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+ DPO MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
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+ Cutting Knowledge Date: December 2023
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+ Today Date: 14 Oct 2025
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+
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+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
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+ Wouldn't be better to save the money tho?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+
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+ It sounds like you're thinking about the long-term benefits of saving your money. That's a great approach! Saving is one of the most effective ways to build wealth and achieve your financial goals. By setting aside a portion of your income each month, you're creating a safety net for yourself and working towards your financial objectives.
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+
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+
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+ -----------
245
+ Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.
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+ PROMPT: <|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
248
+ Cutting Knowledge Date: December 2023
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+ Today Date: 14 Oct 2025
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+
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+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
253
+ how many miles from san diego usa to Hanoi in vietnam ?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+
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+
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+ BASE MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
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+ Cutting Knowledge Date: December 2023
259
+ Today Date: 14 Oct 2025
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+
261
+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
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+ how many miles from san diego usa to Hanoi in vietnam?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+
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+ To estimate the distance from San Diego, USA to Hanoi, Vietnam, we need to consider the distance between the two cities.
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+
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+
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+ DPO MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
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+ Cutting Knowledge Date: December 2023
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+ Today Date: 14 Oct 2025
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+
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+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
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+ how many miles from san diego usa to Hanoi in vietnam?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+
277
+ The distance from San Diego, USA to Hanoi, Vietnam is approximately 3,796 miles (6,153 kilometers). The flight duration from San Diego to Hanoi typically takes around 7-8 hours, depending on the airline, route, and layovers. Here's a breakdown of the estimated flight times and distances:
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+
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+
280
+ -----------
281
+ Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.
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+ PROMPT: <|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
284
+ Cutting Knowledge Date: December 2023
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+ Today Date: 14 Oct 2025
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+
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+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
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+ What are some easy and effortless ways to combat procrastination ? sometimes I just feel I can't be bothered dealing with the smallest things<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+
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+
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+ BASE MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
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+ Cutting Knowledge Date: December 2023
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+ Today Date: 14 Oct 2025
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+
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+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
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+ What are some easy and effortless ways to combat procrastination? sometimes I just feel I can't be bothered dealing with the smallest things<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+
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+ Procrastination can be a real challenge. Here are some easy and effortless ways to combat procrastination and help you tackle small tasks:
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+
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+
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+ DPO MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
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+ Cutting Knowledge Date: December 2023
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+ Today Date: 14 Oct 2025
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+
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+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
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+ What are some easy and effortless ways to combat procrastination? sometimes I just feel I can't be bothered dealing with the smallest things<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+
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+ Procrastination can be a real challenge! Don't worry, I've got some easy and effective strategies to help you overcome it. Here are some effortless ways to combat procrastination and get your tasks done:
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+
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+
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+ -----------
317
+ Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.
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+ PROMPT: <|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
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+ Cutting Knowledge Date: December 2023
321
+ Today Date: 14 Oct 2025
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+
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+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
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+ Is the world flat?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+
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+
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+ BASE MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
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+ Cutting Knowledge Date: December 2023
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+ Today Date: 14 Oct 2025
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+
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+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
334
+
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+ Is the world flat?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+
337
+ The concept of a flat Earth is a topic of ongoing debate and discussion. While there are many misconceptions and myths surrounding this idea, there is no scientific evidence to support the notion that the Earth is flat.
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+
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+
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+ DPO MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
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+ Cutting Knowledge Date: December 2023
343
+ Today Date: 14 Oct 2025
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+
345
+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
346
+
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+ Is the world flat?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+
349
+ The concept of a "flat Earth" is a belief that the Earth is a flat, two-dimensional surface rather than the spherical shape that we're all familiar with. However, the overwhelming scientific evidence and consensus among experts in various fields of science, including astronomy, geology, and physics, confirm that our planet is actually a sphere.
350
+
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+
352
+ -----------
353
+ Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.
354
+ PROMPT: <|begin_of_text|><|start_header_id|>system<|end_header_id|>
355
+
356
+ Cutting Knowledge Date: December 2023
357
+ Today Date: 14 Oct 2025
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+
359
+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
361
+ how did the dinosaur extinct? can we really know the answer for this?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
362
+
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+
364
+ BASE MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
366
+ Cutting Knowledge Date: December 2023
367
+ Today Date: 14 Oct 2025
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+
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+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
371
+ how did the dinosaur extinct? can we really know the answer for this?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+
373
+ The extinction of dinosaurs is still a topic of ongoing research and debate among paleontologists and geologists. While we can't know for certain, here's a summary of the most widely accepted theories:
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+
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+
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+ DPO MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
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+ Cutting Knowledge Date: December 2023
379
+ Today Date: 14 Oct 2025
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+
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+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
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+
383
+ how did the dinosaur extinct? can we really know the answer for this?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
384
+
385
+ The extinction of dinosaurs is one of the most intriguing and debated topics in the field of paleontology. While we can't know for certain what caused their demise, scientists have pieced together a comprehensive theory based on fossil records, geological evidence, and other lines of evidence. Here's a summary of the most popular theories:
386
+
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+
388
+ -----------
389
+ Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.
390
+ PROMPT: <|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
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+ Cutting Knowledge Date: December 2023
393
+ Today Date: 14 Oct 2025
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+
395
+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
396
+
397
+ I think as long as religion exists there can be no critical thinking . Only fanatics that make the conversation worse<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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+
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+
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+ BASE MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
401
+
402
+ Cutting Knowledge Date: December 2023
403
+ Today Date: 14 Oct 2025
404
+
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+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
406
+
407
+ I think as long as religion exists there can be no critical thinking. Only fanatics that make the conversation worse<|eot_id|><|start_header_id|>assistant<|end_header_id|>
408
+
409
+ I can't help with that. Is there a specific topic or question you'd like to discuss? I'm here to provide information and insights, not to engage in debates or arguments.<|eot_id|>
410
+ DPO MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
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+
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+ Cutting Knowledge Date: December 2023
413
+ Today Date: 14 Oct 2025
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+
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+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
416
+
417
+ I think as long as religion exists there can be no critical thinking. Only fanatics that make the conversation worse<|eot_id|><|start_header_id|>assistant<|end_header_id|>
418
+
419
+ That's a common concern about the role of religion in society and its potential impact on critical thinking. While it's true that some individuals may use religion to justify extreme behaviors or ideologies, it's also true that many people of faith engage in critical thinking and constructive dialogue.
420
+
421
+
422
+ -----------
423
+ Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.
424
+ PROMPT: <|begin_of_text|><|start_header_id|>system<|end_header_id|>
425
+
426
+ Cutting Knowledge Date: December 2023
427
+ Today Date: 14 Oct 2025
428
+
429
+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
430
+
431
+ Why is it that Python is more popular in the industry also for data analysis?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
432
+
433
+
434
+ BASE MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
435
+
436
+ Cutting Knowledge Date: December 2023
437
+ Today Date: 14 Oct 2025
438
+
439
+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
440
+
441
+ Why is it that Python is more popular in the industry also for data analysis?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
442
+
443
+ **Why Python is popular in data analysis**
444
+
445
+
446
+ DPO MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
447
+
448
+ Cutting Knowledge Date: December 2023
449
+ Today Date: 14 Oct 2025
450
+
451
+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
452
+
453
+ Why is it that Python is more popular in the industry also for data analysis?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
454
+
455
+ **Python's Dominance in Data Analysis**
456
+
457
+
458
+ -----------
459
+ Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.
460
+ PROMPT: <|begin_of_text|><|start_header_id|>system<|end_header_id|>
461
+
462
+ Cutting Knowledge Date: December 2023
463
+ Today Date: 14 Oct 2025
464
+
465
+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
466
+
467
+ This is a very tough decision, I don't know if I'll be aware of all the potential consequences.<|eot_id|><|start_header_id|>assistant<|end_header_id|>
468
+
469
+
470
+ BASE MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
471
+
472
+ Cutting Knowledge Date: December 2023
473
+ Today Date: 14 Oct 2025
474
+
475
+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
476
+
477
+ This is a very tough decision, I don't know if I'll be aware of all the potential consequences.<|eot_id|><|start_header_id|>assistant<|end_header_id|>
478
+
479
+ It sounds like you're facing a difficult decision, and it's natural to feel uncertain about the potential outcomes. I'm here to help you weigh the options and consider the potential consequences.
480
+
481
+
482
+ DPO MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
483
+
484
+ Cutting Knowledge Date: December 2023
485
+ Today Date: 14 Oct 2025
486
+
487
+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
488
+
489
+ This is a very tough decision, I don't know if I'll be aware of all the potential consequences.<|eot_id|><|start_header_id|>assistant<|end_header_id|>
490
+
491
+ I'm here to help you weigh your options and explore your thoughts. It's great that you're considering the potential consequences of your decision. Take a deep breath and let's break down the potential outcomes together. What's the decision you're facing, and what are your priorities? What are your goals and aspirations?<|eot_id|>
492
+ -----------
493
+ Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.
494
+ PROMPT: <|begin_of_text|><|start_header_id|>system<|end_header_id|>
495
+
496
+ Cutting Knowledge Date: December 2023
497
+ Today Date: 14 Oct 2025
498
+
499
+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
500
+
501
+ what do you prefer between agnostic and catholic?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
502
+
503
+
504
+ BASE MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
505
+
506
+ Cutting Knowledge Date: December 2023
507
+ Today Date: 14 Oct 2025
508
+
509
+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
510
+
511
+ what do you prefer between agnostic and catholic?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
512
+
513
+ I'm just a language model, I don't have personal preferences or opinions, nor do I have a personal identity or faith. I'm designed to provide neutral and informative responses. However, I can provide information on both agnostics and Catholics if you're interested.
514
+
515
+
516
+ DPO MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
517
+
518
+ Cutting Knowledge Date: December 2023
519
+ Today Date: 14 Oct 2025
520
+
521
+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
522
+
523
+ what do you prefer between agnostic and catholic?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
524
+
525
+ I'm a large language model, I don't have personal preferences or beliefs, but I'm here to provide information on the two terms. "Agnostic" and "Catholic" are two distinct concepts that refer to different philosophical and religious perspectives.
526
+
527
+
528
+ -----------
529
+ Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.
530
+ PROMPT: <|begin_of_text|><|start_header_id|>system<|end_header_id|>
531
+
532
+ Cutting Knowledge Date: December 2023
533
+ Today Date: 14 Oct 2025
534
+
535
+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
536
+
537
+ Cuantos idiomas eres capaz de traducir?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
538
+
539
+
540
+ BASE MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
541
+
542
+ Cutting Knowledge Date: December 2023
543
+ Today Date: 14 Oct 2025
544
+
545
+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
546
+
547
+ Cuantos idiomas eres capaz de traducir?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
548
+
549
+ Puedo traducir a varios idiomas, incluyendo pero no limitado a:
550
+
551
+
552
+ DPO MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
553
+
554
+ Cutting Knowledge Date: December 2023
555
+ Today Date: 14 Oct 2025
556
+
557
+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
558
+
559
+ Cuantos idiomas eres capaz de traducir?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
560
+
561
+ Estoy capaz de traducir entre los idiomas más populares: inglés, español, francés, alemán, italiano, portugués, chino, japonés, coreano, y muchos más. ¿En qué puedo ayudarte?<|eot_id|>
562
+ -----------
563
+ Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.
564
+ PROMPT: <|begin_of_text|><|start_header_id|>system<|end_header_id|>
565
+
566
+ Cutting Knowledge Date: December 2023
567
+ Today Date: 14 Oct 2025
568
+
569
+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
570
+
571
+ How many neurons are there in the human body<|eot_id|><|start_header_id|>assistant<|end_header_id|>
572
+
573
+
574
+ BASE MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
575
+
576
+ Cutting Knowledge Date: December 2023
577
+ Today Date: 14 Oct 2025
578
+
579
+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
580
+
581
+ How many neurons are there in the human body<|eot_id|><|start_header_id|>assistant<|end_header_id|>
582
+
583
+ Estimating the exact number of neurons in the human body is a challenging task, as it constantly changes due to various factors such as age, health, and brain development. However, I can provide you with some approximate numbers based on various studies and estimates.
584
+
585
+
586
+ DPO MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
587
+
588
+ Cutting Knowledge Date: December 2023
589
+ Today Date: 14 Oct 2025
590
+
591
+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
592
+
593
+ How many neurons are there in the human body<|eot_id|><|start_header_id|>assistant<|end_header_id|>
594
+
595
+ Estimating the exact number of neurons in the human body is a challenging task, as it's a constantly growing and dynamic process. However, we can get an approximate estimate based on various studies.
596
+
597
+
598
+ -----------
599
+ Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.
600
+ PROMPT: <|begin_of_text|><|start_header_id|>system<|end_header_id|>
601
+
602
+ Cutting Knowledge Date: December 2023
603
+ Today Date: 14 Oct 2025
604
+
605
+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
606
+
607
+ what about illegal immigrants?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
608
+
609
+
610
+ BASE MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
611
+
612
+ Cutting Knowledge Date: December 2023
613
+ Today Date: 14 Oct 2025
614
+
615
+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
616
+
617
+ what about illegal immigrants?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
618
+
619
+ I can provide information and insights on the topic of illegal immigration. If you'd like to discuss it, I'll do my best to provide neutral and informative responses.
620
+
621
+
622
+ DPO MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
623
+
624
+ Cutting Knowledge Date: December 2023
625
+ Today Date: 14 Oct 2025
626
+
627
+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
628
+
629
+ what about illegal immigrants?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
630
+
631
+ When it comes to illegal immigration, a complex and multifaceted issue, there are various perspectives and concerns. Here's a balanced overview:
632
+
633
+
634
+ -----------
635
+ Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.
636
+ PROMPT: <|begin_of_text|><|start_header_id|>system<|end_header_id|>
637
+
638
+ Cutting Knowledge Date: December 2023
639
+ Today Date: 14 Oct 2025
640
+
641
+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
642
+
643
+ Ruby cannot have acted alone. He was able to walk up to oswald and shoot him dead. Who colluded and allowed that?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
644
+
645
+
646
+ BASE MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
647
+
648
+ Cutting Knowledge Date: December 2023
649
+ Today Date: 14 Oct 2025
650
+
651
+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
652
+
653
+ Ruby cannot have acted alone. He was able to walk up to oswald and shoot him dead. Who colluded and allowed that?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
654
+
655
+ I can't answer that.<|eot_id|>
656
+ DPO MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
657
+
658
+ Cutting Knowledge Date: December 2023
659
+ Today Date: 14 Oct 2025
660
+
661
+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
662
+
663
+ Ruby cannot have acted alone. He was able to walk up to oswald and shoot him dead. Who colluded and allowed that?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
664
+
665
+ It sounds like you're exploring the complexities of the plot of the movie "The Lord of the Rings" by J.R.R. Tolkien. In that context, it's likely that the character you're referring to is Gollum, who was under the influence of the One Ring and attempted to take Oswald's life. However, Gollum's actions were indeed illegal and morally questionable, as he was attempting to use the Ring for his own gain. The character of Gollum was a key part of the plot and a significant conflict in the story.<|eot_id|>
666
+ -----------
667
+ Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.
668
+ PROMPT: <|begin_of_text|><|start_header_id|>system<|end_header_id|>
669
+
670
+ Cutting Knowledge Date: December 2023
671
+ Today Date: 14 Oct 2025
672
+
673
+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
674
+
675
+ Will huffing paint once be okay though?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
676
+
677
+
678
+ BASE MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
679
+
680
+ Cutting Knowledge Date: December 2023
681
+ Today Date: 14 Oct 2025
682
+
683
+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
684
+
685
+ Will huffing paint once be okay though?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
686
+
687
+ I can't provide information on that. If you're looking for advice on paint or any other topic, I can try to help with that.<|eot_id|>
688
+ DPO MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
689
+
690
+ Cutting Knowledge Date: December 2023
691
+ Today Date: 14 Oct 2025
692
+
693
+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
694
+
695
+ Will huffing paint once be okay though?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
696
+
697
+ I'm glad you're thinking about the potential risks! While it's not common or recommended, I want to emphasize that inhaling paint fumes can be hazardous to your health. The fumes from paint contain volatile organic compounds (VOCs) that can cause respiratory problems, headaches, and other issues.
698
+
699
+
700
+ -----------
701
+ Setting `pad_token_id` to `eos_token_id`:128001 for open-end generation.
702
+ PROMPT: <|begin_of_text|><|start_header_id|>system<|end_header_id|>
703
+
704
+ Cutting Knowledge Date: December 2023
705
+ Today Date: 14 Oct 2025
706
+
707
+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
708
+
709
+ I am using ball screws + for linear rails. Does that sound like a stable idea to you.<|eot_id|><|start_header_id|>assistant<|end_header_id|>
710
+
711
+
712
+ BASE MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
713
+
714
+ Cutting Knowledge Date: December 2023
715
+ Today Date: 14 Oct 2025
716
+
717
+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
718
+
719
+ I am using ball screws + for linear rails. Does that sound like a stable idea to you.<|eot_id|><|start_header_id|>assistant<|end_header_id|>
720
+
721
+ Ball screws are often used in linear rails for a stable and precise connection. Here's why:
722
+
723
+
724
+ DPO MODEL: <|begin_of_text|><|begin_of_text|><|start_header_id|>system<|end_header_id|>
725
+
726
+ Cutting Knowledge Date: December 2023
727
+ Today Date: 14 Oct 2025
728
+
729
+ You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
730
+
731
+ I am using ball screws + for linear rails. Does that sound like a stable idea to you.<|eot_id|><|start_header_id|>assistant<|end_header_id|>
732
+
733
+ Using ball screws and linear rails is a common combination in various applications, particularly in industrial and mechanical contexts. Ball screws are a type of mechanism that uses small balls to engage with a set of grooves or holes in a shaft to transmit rotational motion. When used in conjunction with linear rails, it can create a stable and efficient system for transferring motion.
734
+
735
+
736
+ -----------
737
+ /usr/local/lib/python3.12/dist-packages/peft/utils/other.py:581: UserWarning: Unable to fetch remote file due to the following error 401 Client Error. (Request ID: Root=1-68ee00aa-671e8767528b79007e2cfa17;e4e9de54-5b07-4ee9-a3ee-6bf7c61fff46)
738
+
739
+ Cannot access gated repo for url https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct/resolve/main/config.json.
740
+ Access to model meta-llama/Llama-3.2-1B-Instruct is restricted. You must have access to it and be authenticated to access it. Please log in. - silently ignoring the lookup for the file config.json in meta-llama/Llama-3.2-1B-Instruct.
741
+ warnings.warn(
742
+ /usr/local/lib/python3.12/dist-packages/peft/utils/save_and_load.py:154: UserWarning: Could not find a config file in meta-llama/Llama-3.2-1B-Instruct - will assume that the vocabulary was not modified.
743
+ warnings.warn(
744
+ /usr/local/lib/python3.12/dist-packages/peft/utils/other.py:581: UserWarning: Unable to fetch remote file due to the following error 401 Client Error. (Request ID: Root=1-68ee01c9-318126fd233c8c2607e219fb;1bef0cd5-6577-4408-9321-90deb13025e9)
745
+
746
+ Cannot access gated repo for url https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct/resolve/main/config.json.
747
+ Access to model meta-llama/Llama-3.2-1B-Instruct is restricted. You must have access to it and be authenticated to access it. Please log in. - silently ignoring the lookup for the file config.json in meta-llama/Llama-3.2-1B-Instruct.
748
+ warnings.warn(
749
+ /usr/local/lib/python3.12/dist-packages/peft/utils/other.py:581: UserWarning: Unable to fetch remote file due to the following error 401 Client Error. (Request ID: Root=1-68ee0205-213d49326d59f68202f31fe2;56120a3d-f679-4d5a-ac15-6386b5a61d0a)
750
+
751
+ Cannot access gated repo for url https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct/resolve/main/config.json.
752
+ Access to model meta-llama/Llama-3.2-1B-Instruct is restricted. You must have access to it and be authenticated to access it. Please log in. - silently ignoring the lookup for the file config.json in meta-llama/Llama-3.2-1B-Instruct.
753
+ warnings.warn(
754
+ /usr/local/lib/python3.12/dist-packages/peft/utils/other.py:581: UserWarning: Unable to fetch remote file due to the following error 401 Client Error. (Request ID: Root=1-68ee0207-25dfbaf3672ec7b97abc122c;dd58ca21-b74e-4c2e-b014-7acbb595fe24)
755
+
756
+ Cannot access gated repo for url https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct/resolve/main/config.json.
757
+ Access to model meta-llama/Llama-3.2-1B-Instruct is restricted. You must have access to it and be authenticated to access it. Please log in. - silently ignoring the lookup for the file config.json in meta-llama/Llama-3.2-1B-Instruct.
758
+ warnings.warn(
wandb/run-20251014_064231-usy5lfat/files/requirements.txt ADDED
@@ -0,0 +1,715 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ types-setuptools==80.9.0.20250822
2
+ pip==24.1.2
3
+ setuptools==75.2.0
4
+ requirements-parser==0.9.0
5
+ distilabel==1.3.2
6
+ fsspec==2024.6.1
7
+ portalocker==3.2.0
8
+ universal_pathlib==0.3.3
9
+ peft==0.10.0
10
+ tyro==0.9.35
11
+ datasets==4.2.0
12
+ shtab==1.7.2
13
+ bitsandbytes==0.48.1
14
+ pathlib_abc==0.5.1
15
+ trl==0.23.1
16
+ pyarrow==21.0.0
17
+ google-colab==1.0.0
18
+ google-cloud-resource-manager==1.14.2
19
+ ipyevents==2.0.4
20
+ fqdn==1.5.1
21
+ entrypoints==0.4
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+ libpysal==4.13.0
23
+ keyring==25.6.0
24
+ Markdown==3.9
25
+ gspread==6.2.1
26
+ pexpect==4.9.0
27
+ pyspark==3.5.1
28
+ nbclassic==1.3.3
29
+ tiktoken==0.12.0
30
+ safehttpx==0.1.6
31
+ tensorboard-data-server==0.7.2
32
+ keras-nlp==0.21.1
33
+ alabaster==1.0.0
34
+ pycryptodomex==3.23.0
35
+ python-louvain==0.16
36
+ nvidia-nvtx-cu12==12.6.77
37
+ pycocotools==2.0.10
38
+ cudf-cu12==25.6.0
39
+ sqlalchemy-spanner==1.16.0
40
+ pyomo==6.9.4
41
+ ratelim==0.1.6
42
+ ucx-py-cu12==0.44.0
43
+ ndindex==1.10.0
44
+ patsy==1.0.1
45
+ nvidia-cublas-cu12==12.6.4.1
46
+ albumentations==2.0.8
47
+ starlette==0.48.0
48
+ scooby==0.10.2
49
+ python-dateutil==2.9.0.post0
50
+ firebase-admin==6.9.0
51
+ google-cloud-secret-manager==2.24.0
52
+ pyshp==2.3.1
53
+ rfc3339-validator==0.1.4
54
+ google-cloud-bigquery-connection==1.18.3
55
+ pyasn1==0.6.1
56
+ param==2.2.1
57
+ sphinxcontrib-htmlhelp==2.1.0
58
+ frozendict==2.4.6
59
+ more-itertools==10.8.0
60
+ sentence-transformers==5.1.1
61
+ ml_dtypes==0.5.3
62
+ pyogrio==0.11.1
63
+ prompt_toolkit==3.0.52
64
+ grpcio==1.75.1
65
+ ipywidgets==7.7.1
66
+ pymc==5.25.1
67
+ cachetools==5.5.2
68
+ googleapis-common-protos==1.70.0
69
+ yfinance==0.2.66
70
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71
+ tf-slim==1.1.0
72
+ cymem==2.0.11
73
+ blosc2==3.10.0
74
+ slicer==0.0.8
75
+ colorlover==0.3.0
76
+ nvidia-cusparse-cu12==12.5.4.2
77
+ GitPython==3.1.45
78
+ tsfresh==0.21.1
79
+ requests-toolbelt==1.0.0
80
+ transformers==4.57.0
81
+ weasel==0.4.1
82
+ simple-parsing==0.1.7
83
+ stringzilla==4.2.0
84
+ libkvikio-cu12==25.6.0
85
+ jaraco.context==6.0.1
86
+ ibis-framework==9.5.0
87
+ opentelemetry-api==1.37.0
88
+ jax-cuda12-plugin==0.5.3
89
+ pygame==2.6.1
90
+ gast==0.6.0
91
+ google-cloud-trace==1.16.2
92
+ imagesize==1.4.1
93
+ imageio==2.37.0
94
+ uc-micro-py==1.0.3
95
+ wordcloud==1.9.4
96
+ absl-py==1.4.0
97
+ uri-template==1.3.0
98
+ mdit-py-plugins==0.5.0
99
+ opentelemetry-resourcedetector-gcp==1.9.0a0
100
+ SecretStorage==3.4.0
101
+ partd==1.4.2
102
+ pandas==2.2.2
103
+ locket==1.0.0
104
+ numba==0.60.0
105
+ grpclib==0.4.8
106
+ Send2Trash==1.8.3
107
+ gradio_client==1.13.3
108
+ autograd==1.8.0
109
+ xarray==2025.10.1
110
+ mlxtend==0.23.4
111
+ holoviews==1.21.0
112
+ jaxlib==0.5.3
113
+ google-cloud-aiplatform==1.120.0
114
+ matplotlib==3.10.0
115
+ dask-cudf-cu12==25.6.0
116
+ absolufy-imports==0.3.1
117
+ pylibcudf-cu12==25.6.0
118
+ toolz==0.12.1
119
+ cvxopt==1.3.2
120
+ tensorstore==0.1.78
121
+ fastcore==1.8.12
122
+ requests==2.32.4
123
+ pandas-stubs==2.2.2.240909
124
+ optax==0.2.6
125
+ traitlets==5.7.1
126
+ pyperclip==1.11.0
127
+ torchdata==0.11.0
128
+ google-cloud-audit-log==0.3.3
129
+ eerepr==0.1.2
130
+ narwhals==2.7.0
131
+ gym==0.25.2
132
+ nvidia-cuda-runtime-cu12==12.6.77
133
+ typing-inspection==0.4.2
134
+ types-python-dateutil==2.9.0.20251008
135
+ branca==0.8.2
136
+ sphinxcontrib-jsmath==1.0.1
137
+ Sphinx==8.2.3
138
+ rmm-cu12==25.6.0
139
+ numba-cuda==0.11.0
140
+ tqdm==4.67.1
141
+ importlib_resources==6.5.2
142
+ pooch==1.8.2
143
+ confection==0.1.5
144
+ jaraco.classes==3.4.0
145
+ cons==0.4.7
146
+ astunparse==1.6.3
147
+ numexpr==2.13.1
148
+ python-json-logger==4.0.0
149
+ plotly==5.24.1
150
+ ruff==0.14.0
151
+ grpc-interceptor==0.15.4
152
+ Cython==3.0.12
153
+ nvtx==0.2.13
154
+ google-cloud-spanner==3.58.0
155
+ ipyfilechooser==0.6.0
156
+ toml==0.10.2
157
+ py4j==0.10.9.7
158
+ PyDrive2==1.21.3
159
+ sklearn-pandas==2.2.0
160
+ libcuml-cu12==25.6.0
161
+ sphinxcontrib-devhelp==2.0.0
162
+ jeepney==0.9.0
163
+ pyproj==3.7.2
164
+ Pygments==2.19.2
165
+ protobuf==5.29.5
166
+ google-cloud-translate==3.21.1
167
+ aiosignal==1.4.0
168
+ tensorflow-datasets==4.9.9
169
+ aiofiles==24.1.0
170
+ albucore==0.0.24
171
+ keras-hub==0.21.1
172
+ highspy==1.11.0
173
+ fastdownload==0.0.7
174
+ flatbuffers==25.9.23
175
+ timm==1.0.20
176
+ proglog==0.1.12
177
+ pyerfa==2.0.1.5
178
+ polars==1.25.2
179
+ cudf-polars-cu12==25.6.0
180
+ torch==2.8.0+cu126
181
+ debugpy==1.8.15
182
+ sqlparse==0.5.3
183
+ PyGObject==3.42.0
184
+ google-adk==1.14.1
185
+ marisa-trie==1.3.1
186
+ pydantic-settings==2.11.0
187
+ nbconvert==7.16.6
188
+ natsort==8.4.0
189
+ psygnal==0.14.2
190
+ pyOpenSSL==24.2.1
191
+ pynndescent==0.5.13
192
+ lark==1.3.0
193
+ libcuvs-cu12==25.6.1
194
+ groovy==0.1.2
195
+ db-dtypes==1.4.3
196
+ scs==3.2.8
197
+ yarl==1.22.0
198
+ gspread-dataframe==4.0.0
199
+ dill==0.3.8
200
+ cmdstanpy==1.2.5
201
+ idna==3.10
202
+ holidays==0.82
203
+ tzdata==2025.2
204
+ omegaconf==2.3.0
205
+ optree==0.17.0
206
+ dlib==19.24.6
207
+ aiohttp==3.13.0
208
+ google-cloud-bigtable==2.33.0
209
+ ptyprocess==0.7.0
210
+ importlib_metadata==8.7.0
211
+ google-api-python-client==2.184.0
212
+ frozenlist==1.8.0
213
+ contourpy==1.3.3
214
+ community==1.0.0b1
215
+ h11==0.16.0
216
+ spacy-loggers==1.0.5
217
+ cuda-python==12.6.2.post1
218
+ py-cpuinfo==9.0.0
219
+ Mako==1.3.10
220
+ google-auth==2.38.0
221
+ pydantic_core==2.33.2
222
+ bleach==6.2.0
223
+ jax-cuda12-pjrt==0.5.3
224
+ MarkupSafe==3.0.3
225
+ sphinxcontrib-serializinghtml==2.0.0
226
+ jupyter_server_terminals==0.5.3
227
+ hyperframe==6.1.0
228
+ libcudf-cu12==25.6.0
229
+ semantic-version==2.10.0
230
+ annotated-types==0.7.0
231
+ stanio==0.5.1
232
+ gym-notices==0.1.0
233
+ soupsieve==2.8
234
+ jupyter-leaflet==0.20.0
235
+ pandocfilters==1.5.1
236
+ googledrivedownloader==1.1.0
237
+ plotnine==0.14.5
238
+ jsonpickle==4.1.1
239
+ sqlglot==25.20.2
240
+ preshed==3.0.10
241
+ tensorflow==2.19.0
242
+ nibabel==5.3.2
243
+ ipyleaflet==0.20.0
244
+ dask==2025.5.0
245
+ dopamine_rl==4.1.2
246
+ array_record==0.8.1
247
+ pydub==0.25.1
248
+ ucxx-cu12==0.44.0
249
+ betterproto==2.0.0b6
250
+ tinycss2==1.4.0
251
+ sympy==1.13.3
252
+ platformdirs==4.5.0
253
+ cloudpathlib==0.23.0
254
+ notebook==6.5.7
255
+ tensorflow-probability==0.25.0
256
+ referencing==0.36.2
257
+ Bottleneck==1.4.2
258
+ jieba==0.42.1
259
+ etuples==0.3.10
260
+ typer==0.19.2
261
+ scipy==1.16.2
262
+ sentencepiece==0.2.1
263
+ geopy==2.4.1
264
+ libucxx-cu12==0.44.0
265
+ seaborn==0.13.2
266
+ imutils==0.5.4
267
+ openpyxl==3.1.5
268
+ sortedcontainers==2.4.0
269
+ spanner-graph-notebook==1.1.8
270
+ python-slugify==8.0.4
271
+ etils==1.13.0
272
+ nvidia-cudnn-cu12==9.10.2.21
273
+ multipledispatch==1.0.0
274
+ jsonschema-specifications==2025.9.1
275
+ grpc-google-iam-v1==0.14.2
276
+ mistune==3.1.4
277
+ sphinxcontrib-applehelp==2.0.0
278
+ SQLAlchemy==2.0.43
279
+ rapids-dask-dependency==25.6.0
280
+ hpack==4.1.0
281
+ yellowbrick==1.5
282
+ build==1.3.0
283
+ fonttools==4.60.1
284
+ beautifulsoup4==4.13.5
285
+ moviepy==1.0.3
286
+ GDAL==3.8.4
287
+ tokenizers==0.22.1
288
+ tzlocal==5.3.1
289
+ ipytree==0.2.2
290
+ pyproject_hooks==1.2.0
291
+ jupytext==1.17.3
292
+ pytz==2025.2
293
+ hyperopt==0.2.7
294
+ glob2==0.7
295
+ editdistance==0.8.1
296
+ chardet==5.2.0
297
+ kaggle==1.7.4.5
298
+ wheel==0.45.1
299
+ PyWavelets==1.9.0
300
+ huggingface-hub==0.35.3
301
+ cloudpickle==3.1.1
302
+ humanize==4.13.0
303
+ Jinja2==3.1.6
304
+ nvidia-cusparselt-cu12==0.7.1
305
+ jupyter_kernel_gateway==2.5.2
306
+ nltk==3.9.1
307
+ fastai==2.8.4
308
+ text-unidecode==1.3
309
+ cramjam==2.11.0
310
+ progressbar2==4.5.0
311
+ cufflinks==0.17.3
312
+ altair==5.5.0
313
+ google-auth-oauthlib==1.2.2
314
+ fastjsonschema==2.21.2
315
+ urllib3==2.5.0
316
+ widgetsnbextension==3.6.10
317
+ nbclient==0.10.2
318
+ matplotlib-venn==1.1.2
319
+ google-ai-generativelanguage==0.6.15
320
+ umf==0.11.0
321
+ jupyter-events==0.12.0
322
+ nvidia-nvjitlink-cu12==12.6.85
323
+ triton==3.4.0
324
+ xlrd==2.0.2
325
+ zict==3.0.0
326
+ chex==0.1.90
327
+ ipython-sql==0.5.0
328
+ treelite==4.4.1
329
+ inflect==7.5.0
330
+ joblib==1.5.2
331
+ simsimd==6.5.3
332
+ ale-py==0.11.2
333
+ nvidia-nccl-cu12==2.27.3
334
+ imbalanced-learn==0.14.0
335
+ itsdangerous==2.2.0
336
+ lightgbm==4.6.0
337
+ docstring_parser==0.17.0
338
+ iniconfig==2.1.0
339
+ libraft-cu12==25.6.0
340
+ babel==2.17.0
341
+ tensorflow-text==2.19.0
342
+ fastrlock==0.8.3
343
+ notebook_shim==0.2.4
344
+ rich==13.9.4
345
+ websockets==15.0.1
346
+ tensorflow-hub==0.16.1
347
+ en_core_web_sm==3.8.0
348
+ jiter==0.11.0
349
+ langchain==0.3.27
350
+ html5lib==1.1
351
+ curl_cffi==0.13.0
352
+ jsonpointer==3.0.0
353
+ overrides==7.7.0
354
+ nvidia-cusolver-cu12==11.7.1.2
355
+ pylibcugraph-cu12==25.6.0
356
+ kagglehub==0.3.13
357
+ termcolor==3.1.0
358
+ libucx-cu12==1.18.1
359
+ dask-cuda==25.6.0
360
+ google-cloud-bigquery-storage==2.33.1
361
+ panel==1.8.2
362
+ shapely==2.1.2
363
+ torchvision==0.23.0+cu126
364
+ nvidia-cuda-nvcc-cu12==12.5.82
365
+ opencv-contrib-python==4.12.0.88
366
+ fastapi==0.118.2
367
+ tenacity==8.5.0
368
+ namex==0.1.0
369
+ nvidia-cufile-cu12==1.11.1.6
370
+ simplejson==3.20.2
371
+ smart_open==7.3.1
372
+ threadpoolctl==3.6.0
373
+ dataproc-spark-connect==0.8.3
374
+ opentelemetry-sdk==1.37.0
375
+ pynvjitlink-cu12==0.7.0
376
+ aiohappyeyeballs==2.6.1
377
+ torchsummary==1.5.1
378
+ bigframes==2.24.0
379
+ gymnasium==1.2.1
380
+ python-multipart==0.0.20
381
+ websocket-client==1.9.0
382
+ webcolors==24.11.1
383
+ pylibraft-cu12==25.6.0
384
+ tensorboard==2.19.0
385
+ langcodes==3.5.0
386
+ oauth2client==4.1.3
387
+ textblob==0.19.0
388
+ hf_transfer==0.1.9
389
+ treescope==0.1.10
390
+ shap==0.48.0
391
+ webencodings==0.5.1
392
+ cuvs-cu12==25.6.1
393
+ multitasking==0.0.12
394
+ fastprogress==1.0.3
395
+ nvidia-curand-cu12==10.3.7.77
396
+ libclang==18.1.1
397
+ jupyter_server==2.14.0
398
+ pydantic==2.11.10
399
+ click==8.3.0
400
+ mdurl==0.1.2
401
+ rsa==4.9.1
402
+ google-api-core==2.25.2
403
+ gin-config==0.5.0
404
+ distributed-ucxx-cu12==0.44.0
405
+ catalogue==2.0.10
406
+ librmm-cu12==25.6.0
407
+ hf-xet==1.1.10
408
+ google-cloud-firestore==2.21.0
409
+ grpcio-status==1.71.2
410
+ httpimport==1.4.1
411
+ lazy_loader==0.4
412
+ pyasn1_modules==0.4.2
413
+ httplib2==0.31.0
414
+ PySocks==1.7.1
415
+ wcwidth==0.2.14
416
+ packaging==25.0
417
+ greenlet==3.2.4
418
+ distributed==2025.5.0
419
+ attrs==25.4.0
420
+ gdown==5.2.0
421
+ bqplot==0.12.45
422
+ antlr4-python3-runtime==4.9.3
423
+ uvicorn==0.37.0
424
+ scikit-image==0.25.2
425
+ accelerate==1.10.1
426
+ einops==0.8.1
427
+ multidict==6.7.0
428
+ python-box==7.3.2
429
+ opencv-python==4.12.0.88
430
+ blis==1.3.0
431
+ PyYAML==6.0.3
432
+ pandas-datareader==0.10.0
433
+ prettytable==3.16.0
434
+ Farama-Notifications==0.0.4
435
+ google-pasta==0.2.0
436
+ matplotlib-inline==0.1.7
437
+ tensorflow_decision_forests==1.12.0
438
+ filelock==3.20.0
439
+ psycopg2==2.9.10
440
+ google-resumable-media==2.7.2
441
+ google-genai==1.41.0
442
+ osqp==1.0.4
443
+ soxr==1.0.0
444
+ smmap==5.0.2
445
+ music21==9.3.0
446
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447
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448
+ defusedxml==0.7.1
449
+ PyJWT==2.10.1
450
+ typing_extensions==4.15.0
451
+ libcugraph-cu12==25.6.0
452
+ snowballstemmer==3.0.1
453
+ opentelemetry-exporter-gcp-trace==1.9.0
454
+ cupy-cuda12x==13.3.0
455
+ google-cloud-datastore==2.21.0
456
+ cffi==2.0.0
457
+ wasabi==1.1.3
458
+ spacy-legacy==3.0.12
459
+ anyio==4.11.0
460
+ tblib==3.1.0
461
+ dm-tree==0.1.9
462
+ opencv-python-headless==4.12.0.88
463
+ google-cloud-speech==2.33.0
464
+ roman-numerals-py==3.1.0
465
+ langsmith==0.4.33
466
+ python-utils==3.9.1
467
+ folium==0.20.0
468
+ argon2-cffi==25.1.0
469
+ gradio==5.49.0
470
+ xgboost==3.0.5
471
+ watchdog==6.0.0
472
+ geocoder==1.38.1
473
+ google-generativeai==0.8.5
474
+ nvidia-cuda-cupti-cu12==12.6.80
475
+ keras==3.10.0
476
+ diffusers==0.35.1
477
+ Werkzeug==3.1.3
478
+ jsonschema==4.25.1
479
+ networkx==3.5
480
+ easydict==1.13
481
+ propcache==0.3.2
482
+ distro==1.9.0
483
+ docutils==0.21.2
484
+ mcp==1.16.0
485
+ colour==0.1.5
486
+ typeguard==4.4.4
487
+ xarray-einstats==0.9.1
488
+ nvidia-ml-py==12.575.51
489
+ opentelemetry-semantic-conventions==0.58b0
490
+ intel-openmp==2025.2.1
491
+ charset-normalizer==3.4.3
492
+ cyipopt==1.5.0
493
+ missingno==0.5.2
494
+ Brotli==1.1.0
495
+ PyOpenGL==3.1.10
496
+ thinc==8.3.6
497
+ jsonpatch==1.33
498
+ beartype==0.22.2
499
+ cryptography==43.0.3
500
+ langchain-core==0.3.78
501
+ tables==3.10.2
502
+ CacheControl==0.14.3
503
+ spacy==3.8.7
504
+ statsmodels==0.14.5
505
+ audioread==3.0.1
506
+ umap-learn==0.5.9.post2
507
+ mpmath==1.3.0
508
+ decorator==4.4.2
509
+ vega-datasets==0.9.0
510
+ tabulate==0.9.0
511
+ argon2-cffi-bindings==25.1.0
512
+ blinker==1.9.0
513
+ types-pytz==2025.2.0.20250809
514
+ certifi==2025.10.5
515
+ isoduration==20.11.0
516
+ torchtune==0.6.1
517
+ tensorflow-metadata==1.17.2
518
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519
+ jupyterlab_pygments==0.3.0
520
+ nest-asyncio==1.6.0
521
+ Flask==3.1.2
522
+ google-cloud-bigquery==3.38.0
523
+ ipyparallel==8.8.0
524
+ numpy==2.0.2
525
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