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notebook: add groupby examples

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  1. groupby_based_on_type.ipynb +776 -0
groupby_based_on_type.ipynb ADDED
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+ " <td>Not enough info</td>\n",
442
+ " <td>smeby/Qwen-Qwen1.5-7B-1724632776</td>\n",
443
+ " <td>49744</td>\n",
444
+ " </tr>\n",
445
+ " <tr>\n",
446
+ " <th>5</th>\n",
447
+ " <td>Large enterprise</td>\n",
448
+ " <td>finetune</td>\n",
449
+ " <td>Small- &amp; medium-sized enterprise</td>\n",
450
+ " <td>NousResearch/Hermes-3-Llama-3.1-8B</td>\n",
451
+ " <td>42774</td>\n",
452
+ " </tr>\n",
453
+ " <tr>\n",
454
+ " <th>6</th>\n",
455
+ " <td>Large enterprise</td>\n",
456
+ " <td>finetune</td>\n",
457
+ " <td>University / public research institute</td>\n",
458
+ " <td>princeton-nlp/gemma-2-9b-it-SimPO</td>\n",
459
+ " <td>19520</td>\n",
460
+ " </tr>\n",
461
+ " <tr>\n",
462
+ " <th>7</th>\n",
463
+ " <td>Large enterprise</td>\n",
464
+ " <td>quantize</td>\n",
465
+ " <td>Individual</td>\n",
466
+ " <td>TheBloke/Llama-2-7B-Chat-GPTQ</td>\n",
467
+ " <td>110199</td>\n",
468
+ " </tr>\n",
469
+ " <tr>\n",
470
+ " <th>8</th>\n",
471
+ " <td>Large enterprise</td>\n",
472
+ " <td>quantize</td>\n",
473
+ " <td>Large enterprise</td>\n",
474
+ " <td>Qwen/Qwen2-0.5B-Instruct</td>\n",
475
+ " <td>270072</td>\n",
476
+ " </tr>\n",
477
+ " <tr>\n",
478
+ " <th>9</th>\n",
479
+ " <td>Large enterprise</td>\n",
480
+ " <td>quantize</td>\n",
481
+ " <td>Non-profit / grassroots entity</td>\n",
482
+ " <td>mlc-ai/Llama-2-7b-chat-hf-q4f32_1-MLC</td>\n",
483
+ " <td>28221</td>\n",
484
+ " </tr>\n",
485
+ " <tr>\n",
486
+ " <th>10</th>\n",
487
+ " <td>Large enterprise</td>\n",
488
+ " <td>quantize</td>\n",
489
+ " <td>Not enough info</td>\n",
490
+ " <td>QuantFactory/Qwen2-0.5B-GGUF</td>\n",
491
+ " <td>15865</td>\n",
492
+ " </tr>\n",
493
+ " <tr>\n",
494
+ " <th>11</th>\n",
495
+ " <td>Large enterprise</td>\n",
496
+ " <td>quantize</td>\n",
497
+ " <td>Small- &amp; medium-sized enterprise</td>\n",
498
+ " <td>SanctumAI/Meta-Llama-3.1-8B-Instruct-GGUF</td>\n",
499
+ " <td>269192</td>\n",
500
+ " </tr>\n",
501
+ " <tr>\n",
502
+ " <th>12</th>\n",
503
+ " <td>Large enterprise</td>\n",
504
+ " <td>quantize</td>\n",
505
+ " <td>University / public research institute</td>\n",
506
+ " <td>MLP-KTLim/llama-3-Korean-Bllossom-8B</td>\n",
507
+ " <td>85510</td>\n",
508
+ " </tr>\n",
509
+ " <tr>\n",
510
+ " <th>13</th>\n",
511
+ " <td>Public research institute</td>\n",
512
+ " <td>finetune</td>\n",
513
+ " <td>Small- &amp; medium-sized enterprise</td>\n",
514
+ " <td>neuralmagic/TinyLlama-1.1B-Chat-v1.0-marlin</td>\n",
515
+ " <td>5152</td>\n",
516
+ " </tr>\n",
517
+ " <tr>\n",
518
+ " <th>14</th>\n",
519
+ " <td>Small- &amp; medium-sized enterprise</td>\n",
520
+ " <td>finetune</td>\n",
521
+ " <td>Individual</td>\n",
522
+ " <td>silent666/01-ai-Yi-1.5-9B-1725825607</td>\n",
523
+ " <td>20833</td>\n",
524
+ " </tr>\n",
525
+ " <tr>\n",
526
+ " <th>15</th>\n",
527
+ " <td>Small- &amp; medium-sized enterprise</td>\n",
528
+ " <td>finetune</td>\n",
529
+ " <td>Large enterprise</td>\n",
530
+ " <td>mistralai/Mixtral-8x7B-Instruct-v0.1</td>\n",
531
+ " <td>578188</td>\n",
532
+ " </tr>\n",
533
+ " <tr>\n",
534
+ " <th>16</th>\n",
535
+ " <td>Small- &amp; medium-sized enterprise</td>\n",
536
+ " <td>finetune</td>\n",
537
+ " <td>Non-profit / grassroots entity</td>\n",
538
+ " <td>openchat/openchat-3.5-0106</td>\n",
539
+ " <td>45756</td>\n",
540
+ " </tr>\n",
541
+ " <tr>\n",
542
+ " <th>17</th>\n",
543
+ " <td>Small- &amp; medium-sized enterprise</td>\n",
544
+ " <td>finetune</td>\n",
545
+ " <td>Not enough info</td>\n",
546
+ " <td>nekokiku/01-ai-Yi-1.5-9B-Chat-1725250843</td>\n",
547
+ " <td>4073</td>\n",
548
+ " </tr>\n",
549
+ " <tr>\n",
550
+ " <th>18</th>\n",
551
+ " <td>Small- &amp; medium-sized enterprise</td>\n",
552
+ " <td>finetune</td>\n",
553
+ " <td>Small- &amp; medium-sized enterprise</td>\n",
554
+ " <td>HuggingFaceH4/zephyr-7b-beta</td>\n",
555
+ " <td>749121</td>\n",
556
+ " </tr>\n",
557
+ " <tr>\n",
558
+ " <th>19</th>\n",
559
+ " <td>Small- &amp; medium-sized enterprise</td>\n",
560
+ " <td>finetune</td>\n",
561
+ " <td>University / public research institute</td>\n",
562
+ " <td>INSAIT-Institute/BgGPT-7B-Instruct-v0.2</td>\n",
563
+ " <td>2629</td>\n",
564
+ " </tr>\n",
565
+ " <tr>\n",
566
+ " <th>20</th>\n",
567
+ " <td>Small- &amp; medium-sized enterprise</td>\n",
568
+ " <td>merge</td>\n",
569
+ " <td>Small- &amp; medium-sized enterprise</td>\n",
570
+ " <td>third-intellect/Phi-3-mini-4k-instruct-orca-ma...</td>\n",
571
+ " <td>5242</td>\n",
572
+ " </tr>\n",
573
+ " <tr>\n",
574
+ " <th>21</th>\n",
575
+ " <td>Small- &amp; medium-sized enterprise</td>\n",
576
+ " <td>quantize</td>\n",
577
+ " <td>Individual</td>\n",
578
+ " <td>thesven/Mistral-7B-Instruct-v0.3-GPTQ</td>\n",
579
+ " <td>345189</td>\n",
580
+ " </tr>\n",
581
+ " <tr>\n",
582
+ " <th>22</th>\n",
583
+ " <td>Small- &amp; medium-sized enterprise</td>\n",
584
+ " <td>quantize</td>\n",
585
+ " <td>Non-profit / grassroots entity</td>\n",
586
+ " <td>solidrust/Mistral-7B-Instruct-v0.3-AWQ</td>\n",
587
+ " <td>1841</td>\n",
588
+ " </tr>\n",
589
+ " <tr>\n",
590
+ " <th>23</th>\n",
591
+ " <td>Small- &amp; medium-sized enterprise</td>\n",
592
+ " <td>quantize</td>\n",
593
+ " <td>Small- &amp; medium-sized enterprise</td>\n",
594
+ " <td>neuralmagic/Mistral-7B-Instruct-v0.3-GPTQ-4bit</td>\n",
595
+ " <td>186770</td>\n",
596
+ " </tr>\n",
597
+ " <tr>\n",
598
+ " <th>24</th>\n",
599
+ " <td>University / public research institute</td>\n",
600
+ " <td>finetune</td>\n",
601
+ " <td>Not enough info</td>\n",
602
+ " <td>Kabster/BioMistral-Zephyr-Beta-SLERP</td>\n",
603
+ " <td>2503</td>\n",
604
+ " </tr>\n",
605
+ " <tr>\n",
606
+ " <th>25</th>\n",
607
+ " <td>University / public research institute</td>\n",
608
+ " <td>finetune</td>\n",
609
+ " <td>Small- &amp; medium-sized enterprise</td>\n",
610
+ " <td>johnsnowlabs/BioLing-7B-Dare</td>\n",
611
+ " <td>2249</td>\n",
612
+ " </tr>\n",
613
+ " <tr>\n",
614
+ " <th>26</th>\n",
615
+ " <td>University / public research institute</td>\n",
616
+ " <td>merge</td>\n",
617
+ " <td>Individual</td>\n",
618
+ " <td>skfrost19/BioMistralMerged</td>\n",
619
+ " <td>3359</td>\n",
620
+ " </tr>\n",
621
+ " <tr>\n",
622
+ " <th>27</th>\n",
623
+ " <td>University / public research institute</td>\n",
624
+ " <td>quantize</td>\n",
625
+ " <td>Individual</td>\n",
626
+ " <td>TheBloke/TinyLlama-1.1B-Chat-v1.0-GPTQ</td>\n",
627
+ " <td>67033</td>\n",
628
+ " </tr>\n",
629
+ " </tbody>\n",
630
+ "</table>\n",
631
+ "</div>"
632
+ ],
633
+ "text/plain": [
634
+ " base-model-producer-category hereditary_type \\\n",
635
+ "0 Individual quantize \n",
636
+ "1 Large enterprise finetune \n",
637
+ "2 Large enterprise finetune \n",
638
+ "3 Large enterprise finetune \n",
639
+ "4 Large enterprise finetune \n",
640
+ "5 Large enterprise finetune \n",
641
+ "6 Large enterprise finetune \n",
642
+ "7 Large enterprise quantize \n",
643
+ "8 Large enterprise quantize \n",
644
+ "9 Large enterprise quantize \n",
645
+ "10 Large enterprise quantize \n",
646
+ "11 Large enterprise quantize \n",
647
+ "12 Large enterprise quantize \n",
648
+ "13 Public research institute finetune \n",
649
+ "14 Small- & medium-sized enterprise finetune \n",
650
+ "15 Small- & medium-sized enterprise finetune \n",
651
+ "16 Small- & medium-sized enterprise finetune \n",
652
+ "17 Small- & medium-sized enterprise finetune \n",
653
+ "18 Small- & medium-sized enterprise finetune \n",
654
+ "19 Small- & medium-sized enterprise finetune \n",
655
+ "20 Small- & medium-sized enterprise merge \n",
656
+ "21 Small- & medium-sized enterprise quantize \n",
657
+ "22 Small- & medium-sized enterprise quantize \n",
658
+ "23 Small- & medium-sized enterprise quantize \n",
659
+ "24 University / public research institute finetune \n",
660
+ "25 University / public research institute finetune \n",
661
+ "26 University / public research institute merge \n",
662
+ "27 University / public research institute quantize \n",
663
+ "\n",
664
+ " model-producer-category \\\n",
665
+ "0 Individual \n",
666
+ "1 Individual \n",
667
+ "2 Large enterprise \n",
668
+ "3 Non-profit / grassroots entity \n",
669
+ "4 Not enough info \n",
670
+ "5 Small- & medium-sized enterprise \n",
671
+ "6 University / public research institute \n",
672
+ "7 Individual \n",
673
+ "8 Large enterprise \n",
674
+ "9 Non-profit / grassroots entity \n",
675
+ "10 Not enough info \n",
676
+ "11 Small- & medium-sized enterprise \n",
677
+ "12 University / public research institute \n",
678
+ "13 Small- & medium-sized enterprise \n",
679
+ "14 Individual \n",
680
+ "15 Large enterprise \n",
681
+ "16 Non-profit / grassroots entity \n",
682
+ "17 Not enough info \n",
683
+ "18 Small- & medium-sized enterprise \n",
684
+ "19 University / public research institute \n",
685
+ "20 Small- & medium-sized enterprise \n",
686
+ "21 Individual \n",
687
+ "22 Non-profit / grassroots entity \n",
688
+ "23 Small- & medium-sized enterprise \n",
689
+ "24 Not enough info \n",
690
+ "25 Small- & medium-sized enterprise \n",
691
+ "26 Individual \n",
692
+ "27 Individual \n",
693
+ "\n",
694
+ " id downloads \n",
695
+ "0 TheBloke/OpenHermes-2.5-Mistral-7B-AWQ 11221 \n",
696
+ "1 aaditya/Llama3-OpenBioLLM-8B 162094 \n",
697
+ "2 meta-llama/Llama-3.1-8B-Instruct 3134749 \n",
698
+ "3 maum-ai/Llama-3-MAAL-8B-Instruct-v0.1 18172 \n",
699
+ "4 smeby/Qwen-Qwen1.5-7B-1724632776 49744 \n",
700
+ "5 NousResearch/Hermes-3-Llama-3.1-8B 42774 \n",
701
+ "6 princeton-nlp/gemma-2-9b-it-SimPO 19520 \n",
702
+ "7 TheBloke/Llama-2-7B-Chat-GPTQ 110199 \n",
703
+ "8 Qwen/Qwen2-0.5B-Instruct 270072 \n",
704
+ "9 mlc-ai/Llama-2-7b-chat-hf-q4f32_1-MLC 28221 \n",
705
+ "10 QuantFactory/Qwen2-0.5B-GGUF 15865 \n",
706
+ "11 SanctumAI/Meta-Llama-3.1-8B-Instruct-GGUF 269192 \n",
707
+ "12 MLP-KTLim/llama-3-Korean-Bllossom-8B 85510 \n",
708
+ "13 neuralmagic/TinyLlama-1.1B-Chat-v1.0-marlin 5152 \n",
709
+ "14 silent666/01-ai-Yi-1.5-9B-1725825607 20833 \n",
710
+ "15 mistralai/Mixtral-8x7B-Instruct-v0.1 578188 \n",
711
+ "16 openchat/openchat-3.5-0106 45756 \n",
712
+ "17 nekokiku/01-ai-Yi-1.5-9B-Chat-1725250843 4073 \n",
713
+ "18 HuggingFaceH4/zephyr-7b-beta 749121 \n",
714
+ "19 INSAIT-Institute/BgGPT-7B-Instruct-v0.2 2629 \n",
715
+ "20 third-intellect/Phi-3-mini-4k-instruct-orca-ma... 5242 \n",
716
+ "21 thesven/Mistral-7B-Instruct-v0.3-GPTQ 345189 \n",
717
+ "22 solidrust/Mistral-7B-Instruct-v0.3-AWQ 1841 \n",
718
+ "23 neuralmagic/Mistral-7B-Instruct-v0.3-GPTQ-4bit 186770 \n",
719
+ "24 Kabster/BioMistral-Zephyr-Beta-SLERP 2503 \n",
720
+ "25 johnsnowlabs/BioLing-7B-Dare 2249 \n",
721
+ "26 skfrost19/BioMistralMerged 3359 \n",
722
+ "27 TheBloke/TinyLlama-1.1B-Chat-v1.0-GPTQ 67033 "
723
+ ]
724
+ },
725
+ "execution_count": 51,
726
+ "metadata": {},
727
+ "output_type": "execute_result"
728
+ }
729
+ ],
730
+ "source": [
731
+ "from PIL.ImageOps import expand\n",
732
+ "\n",
733
+ "\n",
734
+ "df.groupby(\n",
735
+ " [\"base-model-producer-category\", \"hereditary_type\", \"model-producer-category\"]\n",
736
+ ").apply(\n",
737
+ " # return the id column of the max downloads and the download count\n",
738
+ " lambda x: {\n",
739
+ " \"id\": x.loc[x[\"downloads\"].idxmax(), \"id\"],\n",
740
+ " \"downloads\": x[\"downloads\"].max(),\n",
741
+ " },\n",
742
+ ").apply(\n",
743
+ " pd.Series\n",
744
+ ").reset_index()"
745
+ ]
746
+ },
747
+ {
748
+ "cell_type": "code",
749
+ "execution_count": null,
750
+ "metadata": {},
751
+ "outputs": [],
752
+ "source": []
753
+ }
754
+ ],
755
+ "metadata": {
756
+ "kernelspec": {
757
+ "display_name": "venv",
758
+ "language": "python",
759
+ "name": "python3"
760
+ },
761
+ "language_info": {
762
+ "codemirror_mode": {
763
+ "name": "ipython",
764
+ "version": 3
765
+ },
766
+ "file_extension": ".py",
767
+ "mimetype": "text/x-python",
768
+ "name": "python",
769
+ "nbconvert_exporter": "python",
770
+ "pygments_lexer": "ipython3",
771
+ "version": "3.11.9"
772
+ }
773
+ },
774
+ "nbformat": 4,
775
+ "nbformat_minor": 2
776
+ }