File size: 175,189 Bytes
7def60a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930 931 932 933 934 935 936 937 938 939 940 941 942 943 944 945 946 947 948 949 950 951 952 953 954 955 956 957 958 959 960 961 962 963 964 965 966 967 968 969 970 971 972 973 974 975 976 977 978 979 980 981 982 983 984 985 986 987 988 989 990 991 992 993 994 995 996 997 998 999 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 1010 1011 1012 1013 1014 1015 1016 1017 1018 1019 1020 1021 1022 1023 1024 1025 1026 1027 1028 1029 1030 1031 1032 1033 1034 1035 1036 1037 1038 1039 1040 1041 1042 1043 1044 1045 1046 1047 1048 1049 1050 1051 1052 1053 1054 1055 1056 1057 1058 1059 1060 1061 1062 1063 1064 1065 1066 1067 1068 1069 1070 1071 1072 1073 1074 1075 1076 1077 1078 1079 1080 1081 1082 1083 1084 1085 1086 1087 1088 1089 1090 1091 1092 1093 1094 1095 1096 1097 1098 1099 1100 1101 1102 1103 1104 1105 1106 1107 1108 1109 1110 1111 1112 1113 1114 1115 1116 1117 1118 1119 1120 1121 1122 1123 1124 1125 1126 1127 1128 1129 1130 1131 1132 1133 1134 1135 1136 1137 1138 1139 1140 1141 1142 1143 1144 1145 1146 1147 1148 1149 1150 1151 1152 1153 1154 1155 1156 1157 1158 1159 1160 1161 1162 1163 1164 1165 1166 1167 1168 1169 1170 1171 1172 1173 1174 1175 1176 1177 1178 1179 1180 1181 1182 1183 1184 1185 1186 1187 1188 1189 1190 1191 1192 1193 1194 1195 1196 1197 1198 1199 1200 1201 1202 1203 1204 1205 1206 1207 1208 1209 1210 1211 1212 1213 1214 1215 1216 1217 1218 1219 1220 1221 1222 1223 1224 1225 1226 1227 1228 1229 1230 1231 1232 1233 1234 1235 1236 1237 1238 1239 1240 1241 1242 1243 1244 1245 1246 1247 1248 1249 1250 1251 1252 1253 1254 1255 1256 1257 1258 1259 1260 1261 1262 1263 1264 1265 1266 1267 1268 1269 1270 1271 1272 1273 1274 1275 1276 1277 1278 1279 1280 1281 1282 1283 1284 1285 1286 1287 1288 1289 1290 1291 1292 1293 1294 1295 1296 1297 1298 1299 1300 1301 1302 1303 1304 1305 1306 1307 1308 1309 1310 1311 1312 1313 1314 1315 1316 1317 1318 1319 1320 1321 1322 1323 1324 1325 1326 1327 1328 1329 1330 1331 1332 1333 1334 1335 1336 1337 1338 1339 1340 1341 1342 1343 1344 1345 1346 1347 1348 1349 1350 1351 1352 1353 1354 1355 1356 1357 1358 1359 1360 1361 1362 1363 1364 1365 1366 1367 1368 1369 1370 1371 1372 1373 1374 1375 1376 1377 1378 1379 1380 1381 1382 1383 1384 1385 1386 1387 1388 1389 1390 1391 1392 1393 1394 1395 1396 1397 1398 1399 1400 1401 1402 1403 1404 1405 1406 1407 1408 1409 1410 1411 1412 1413 1414 1415 1416 1417 1418 1419 1420 1421 1422 1423 1424 1425 1426 1427 1428 1429 1430 1431 1432 1433 1434 1435 1436 1437 1438 1439 1440 1441 1442 1443 1444 1445 1446 1447 1448 1449 1450 1451 1452 1453 1454 1455 1456 1457 1458 1459 1460 1461 1462 1463 1464 1465 1466 1467 1468 1469 1470 1471 1472 1473 1474 1475 1476 1477 1478 1479 1480 1481 1482 1483 1484 1485 1486 1487 1488 1489 1490 1491 1492 1493 1494 1495 1496 1497 1498 1499 1500 1501 1502 1503 1504 1505 1506 1507 1508 1509 1510 1511 1512 1513 1514 1515 1516 1517 1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 1562 1563 1564 1565 1566 1567 1568 1569 1570 1571 1572 1573 1574 1575 1576 1577 1578 1579 1580 1581 1582 1583 1584 1585 1586 1587 1588 1589 1590 1591 1592 1593 1594 1595 1596 1597 1598 1599 1600 1601 1602 1603 1604 1605 1606 1607 1608 1609 1610 1611 1612 1613 1614 1615 1616 1617 1618 1619 1620 1621 1622 1623 1624 1625 1626 1627 1628 1629 1630 1631 1632 1633 1634 1635 1636 1637 1638 1639 1640 1641 1642 1643 1644 1645 1646 1647 1648 1649 1650 1651 1652 1653 1654 1655 1656 |
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Finetuning a model and using it with LocalAI\n",
"\n",
"This is an example of fine-tuning a LLM model to use with [LocalAI](https://github.com/mudler/LocalAI) written by [@mudler](https://github.com/mudler).\n",
"\n",
"Specifically, this example shows how to use [axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) to fine-tune a LLM model to consume with LocalAI as a `gguf` model."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "puRhZeHvuHgB"
},
"source": [
"# Important!\n",
"\n",
"Before starting, make sure you have selected GPU runtime : Runtime -> Change runtime type -> GPU (T4)!"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "xcUAOoASZUV1"
},
"source": [
"Change the model to link to your dataset. Upload the dataset as `output.jsonl` in the root tree and edit the model file (model.yml) with:\n",
"\n",
"```\n",
"# local\n",
"datasets:\n",
" - path: /content/output.jsonl\n",
" ds_type: json\n",
" type: completion\n",
"\n",
"```\n",
"\n",
"A full example:\n",
"\n",
"```yaml\n",
"\n",
"base_model: openlm-research/open_llama_3b_v2\n",
"model_type: LlamaForCausalLM\n",
"tokenizer_type: LlamaTokenizer\n",
"load_in_8bit: false\n",
"load_in_4bit: true\n",
"strict: false\n",
"push_dataset_to_hub: false\n",
"datasets:\n",
" - path: /content/output.jsonl\n",
" ds_type: json\n",
" type: completion\n",
"dataset_prepared_path:\n",
"val_set_size: 0.05\n",
"adapter: qlora\n",
"lora_model_dir:\n",
"sequence_len: 1024\n",
"sample_packing: true\n",
"lora_r: 8\n",
"lora_alpha: 32\n",
"lora_dropout: 0.05\n",
"lora_target_modules:\n",
"lora_target_linear: true\n",
"lora_fan_in_fan_out:\n",
"wandb_project:\n",
"wandb_entity:\n",
"wandb_watch:\n",
"wandb_run_id:\n",
"wandb_log_model:\n",
"output_dir: ./qlora-out\n",
"gradient_accumulation_steps: 1\n",
"micro_batch_size: 2\n",
"num_epochs: 4\n",
"optimizer: paged_adamw_32bit\n",
"torchdistx_path:\n",
"lr_scheduler: cosine\n",
"learning_rate: 0.0002\n",
"train_on_inputs: false\n",
"group_by_length: false\n",
"bf16: false\n",
"fp16: true\n",
"tf32: false\n",
"gradient_checkpointing: true\n",
"early_stopping_patience:\n",
"resume_from_checkpoint:\n",
"local_rank:\n",
"logging_steps: 1\n",
"xformers_attention:\n",
"flash_attention: false\n",
"gptq_groupsize:\n",
"gptq_model_v1:\n",
"warmup_steps: 20\n",
"eval_steps: 0.05\n",
"save_steps:\n",
"debug:\n",
"deepspeed:\n",
"weight_decay: 0.1\n",
"fsdp:\n",
"fsdp_config:\n",
"special_tokens:\n",
" bos_token: \"<s>\"\n",
" eos_token: \"</s>\"\n",
" unk_token: \"<unk>\"\n",
"\n",
"```"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "CBVQikr2WiFP",
"outputId": "236f9f0e-b2b5-4ba9-9127-27f804c511db"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Cloning into 'axolotl'...\n",
"remote: Enumerating objects: 7525, done.\u001b[K\n",
"remote: Counting objects: 100% (1726/1726), done.\u001b[K\n",
"remote: Compressing objects: 100% (385/385), done.\u001b[K\n",
"remote: Total 7525 (delta 1525), reused 1409 (delta 1319), pack-reused 5799\u001b[K\n",
"Receiving objects: 100% (7525/7525), 2.64 MiB | 10.52 MiB/s, done.\n",
"Resolving deltas: 100% (4854/4854), done.\n",
"Note: switching to '797f3dd1de8fd8c0eafbd1c9fdb172abd9ff840a'.\n",
"\n",
"You are in 'detached HEAD' state. You can look around, make experimental\n",
"changes and commit them, and you can discard any commits you make in this\n",
"state without impacting any branches by switching back to a branch.\n",
"\n",
"If you want to create a new branch to retain commits you create, you may\n",
"do so (now or later) by using -c with the switch command. Example:\n",
"\n",
" git switch -c <new-branch-name>\n",
"\n",
"Or undo this operation with:\n",
"\n",
" git switch -\n",
"\n",
"Turn off this advice by setting config variable advice.detachedHead to false\n",
"\n",
"HEAD is now at 797f3dd don't train if eval split is too small (#873)\n",
"Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (23.2)\n",
"Obtaining file:///content/axolotl\n",
" Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
"Collecting auto-gptq==0.5.1 (from axolotl==0.3.0)\n",
" Downloading auto_gptq-0.5.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.8 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.8/4.8 MB\u001b[0m \u001b[31m14.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from axolotl==0.3.0) (23.2)\n",
"Collecting peft==0.6.0 (from axolotl==0.3.0)\n",
" Downloading peft-0.6.0-py3-none-any.whl (134 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m134.9/134.9 kB\u001b[0m \u001b[31m20.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting transformers==4.35.1 (from axolotl==0.3.0)\n",
" Downloading transformers-4.35.1-py3-none-any.whl (7.9 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.9/7.9 MB\u001b[0m \u001b[31m44.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting bitsandbytes>=0.41.1 (from axolotl==0.3.0)\n",
" Downloading bitsandbytes-0.41.2.post2-py3-none-any.whl (92.6 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m92.6/92.6 MB\u001b[0m \u001b[31m9.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting accelerate==0.24.1 (from axolotl==0.3.0)\n",
" Downloading accelerate-0.24.1-py3-none-any.whl (261 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m261.4/261.4 kB\u001b[0m \u001b[31m31.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting addict (from axolotl==0.3.0)\n",
" Downloading addict-2.4.0-py3-none-any.whl (3.8 kB)\n",
"Collecting fire (from axolotl==0.3.0)\n",
" Downloading fire-0.5.0.tar.gz (88 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m88.3/88.3 kB\u001b[0m \u001b[31m13.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
"Requirement already satisfied: PyYAML>=6.0 in /usr/local/lib/python3.10/dist-packages (from axolotl==0.3.0) (6.0.1)\n",
"Collecting datasets>=2.14.0 (from axolotl==0.3.0)\n",
" Downloading datasets-2.15.0-py3-none-any.whl (521 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m521.2/521.2 kB\u001b[0m \u001b[31m51.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting sentencepiece (from axolotl==0.3.0)\n",
" Downloading sentencepiece-0.1.99-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m76.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting wandb (from axolotl==0.3.0)\n",
" Downloading wandb-0.16.0-py3-none-any.whl (2.1 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.1/2.1 MB\u001b[0m \u001b[31m90.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting einops (from axolotl==0.3.0)\n",
" Downloading einops-0.7.0-py3-none-any.whl (44 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m44.6/44.6 kB\u001b[0m \u001b[31m6.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting xformers==0.0.22 (from axolotl==0.3.0)\n",
" Downloading xformers-0.0.22-cp310-cp310-manylinux2014_x86_64.whl (211.6 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m211.6/211.6 MB\u001b[0m \u001b[31m6.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting optimum==1.13.2 (from axolotl==0.3.0)\n",
" Downloading optimum-1.13.2.tar.gz (300 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m301.0/301.0 kB\u001b[0m \u001b[31m37.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
" Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
" Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
"Collecting hf_transfer (from axolotl==0.3.0)\n",
" Downloading hf_transfer-0.1.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.9 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.9/3.9 MB\u001b[0m \u001b[31m48.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting colorama (from axolotl==0.3.0)\n",
" Downloading colorama-0.4.6-py2.py3-none-any.whl (25 kB)\n",
"Requirement already satisfied: numba in /usr/local/lib/python3.10/dist-packages (from axolotl==0.3.0) (0.58.1)\n",
"Collecting numpy>=1.24.4 (from axolotl==0.3.0)\n",
" Downloading numpy-1.26.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m18.2/18.2 MB\u001b[0m \u001b[31m57.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting bert-score==0.3.13 (from axolotl==0.3.0)\n",
" Downloading bert_score-0.3.13-py3-none-any.whl (61 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m61.1/61.1 kB\u001b[0m \u001b[31m8.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting evaluate==0.4.0 (from axolotl==0.3.0)\n",
" Downloading evaluate-0.4.0-py3-none-any.whl (81 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m81.4/81.4 kB\u001b[0m \u001b[31m7.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting rouge-score==0.1.2 (from axolotl==0.3.0)\n",
" Downloading rouge_score-0.1.2.tar.gz (17 kB)\n",
" Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
"Requirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (from axolotl==0.3.0) (1.11.3)\n",
"Requirement already satisfied: scikit-learn==1.2.2 in /usr/local/lib/python3.10/dist-packages (from axolotl==0.3.0) (1.2.2)\n",
"Collecting pynvml (from axolotl==0.3.0)\n",
" Downloading pynvml-11.5.0-py3-none-any.whl (53 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m53.1/53.1 kB\u001b[0m \u001b[31m6.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting art (from axolotl==0.3.0)\n",
" Downloading art-6.1-py3-none-any.whl (599 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m599.8/599.8 kB\u001b[0m \u001b[31m38.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting fschat==0.2.29 (from axolotl==0.3.0)\n",
" Downloading fschat-0.2.29-py3-none-any.whl (200 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m200.7/200.7 kB\u001b[0m \u001b[31m21.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-4.4.1-py3-none-any.whl (15.4 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.4/15.4 MB\u001b[0m \u001b[31m70.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: tensorboard in /usr/local/lib/python3.10/dist-packages (from axolotl==0.3.0) (2.14.1)\n",
"Collecting s3fs (from axolotl==0.3.0)\n",
" Downloading s3fs-2023.10.0-py3-none-any.whl (28 kB)\n",
"Requirement already satisfied: gcsfs in /usr/local/lib/python3.10/dist-packages (from axolotl==0.3.0) (2023.6.0)\n",
"Collecting flash-attn>=2.3.0 (from axolotl==0.3.0)\n",
" Downloading flash_attn-2.3.3.tar.gz (2.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.3/2.3 MB\u001b[0m \u001b[31m81.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
"Collecting deepspeed (from axolotl==0.3.0)\n",
" Downloading deepspeed-0.12.3.tar.gz (1.2 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.2/1.2 MB\u001b[0m \u001b[31m84.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
"Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from accelerate==0.24.1->axolotl==0.3.0) (5.9.5)\n",
"Requirement already satisfied: torch>=1.10.0 in /usr/local/lib/python3.10/dist-packages (from accelerate==0.24.1->axolotl==0.3.0) (2.1.0+cu118)\n",
"Requirement already satisfied: huggingface-hub in /usr/local/lib/python3.10/dist-packages (from accelerate==0.24.1->axolotl==0.3.0) (0.19.3)\n",
"Collecting rouge (from auto-gptq==0.5.1->axolotl==0.3.0)\n",
" Downloading rouge-1.0.1-py3-none-any.whl (13 kB)\n",
"Collecting gekko (from auto-gptq==0.5.1->axolotl==0.3.0)\n",
" Downloading gekko-1.0.6-py3-none-any.whl (12.2 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m12.2/12.2 MB\u001b[0m \u001b[31m91.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: safetensors in /usr/local/lib/python3.10/dist-packages (from auto-gptq==0.5.1->axolotl==0.3.0) (0.4.0)\n",
"Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from auto-gptq==0.5.1->axolotl==0.3.0) (4.66.1)\n",
"Requirement already satisfied: pandas>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from bert-score==0.3.13->axolotl==0.3.0) (1.5.3)\n",
"Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from bert-score==0.3.13->axolotl==0.3.0) (2.31.0)\n",
"Requirement already satisfied: matplotlib in /usr/local/lib/python3.10/dist-packages (from bert-score==0.3.13->axolotl==0.3.0) (3.7.1)\n",
"Collecting dill (from evaluate==0.4.0->axolotl==0.3.0)\n",
" Downloading dill-0.3.7-py3-none-any.whl (115 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m115.3/115.3 kB\u001b[0m \u001b[31m16.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: xxhash in /usr/local/lib/python3.10/dist-packages (from evaluate==0.4.0->axolotl==0.3.0) (3.4.1)\n",
"Collecting multiprocess (from evaluate==0.4.0->axolotl==0.3.0)\n",
" Downloading multiprocess-0.70.15-py310-none-any.whl (134 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m134.8/134.8 kB\u001b[0m \u001b[31m18.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: fsspec[http]>=2021.05.0 in /usr/local/lib/python3.10/dist-packages (from evaluate==0.4.0->axolotl==0.3.0) (2023.6.0)\n",
"Collecting responses<0.19 (from evaluate==0.4.0->axolotl==0.3.0)\n",
" Downloading responses-0.18.0-py3-none-any.whl (38 kB)\n",
"Requirement already satisfied: aiohttp in /usr/local/lib/python3.10/dist-packages (from fschat==0.2.29->axolotl==0.3.0) (3.8.6)\n",
"Collecting fastapi (from fschat==0.2.29->axolotl==0.3.0)\n",
" Downloading fastapi-0.104.1-py3-none-any.whl (92 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m92.9/92.9 kB\u001b[0m \u001b[31m14.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting httpx (from fschat==0.2.29->axolotl==0.3.0)\n",
" Downloading httpx-0.25.1-py3-none-any.whl (75 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m75.0/75.0 kB\u001b[0m \u001b[31m10.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting markdown2[all] (from fschat==0.2.29->axolotl==0.3.0)\n",
" Downloading markdown2-2.4.10-py2.py3-none-any.whl (39 kB)\n",
"Collecting nh3 (from fschat==0.2.29->axolotl==0.3.0)\n",
" Downloading nh3-0.2.14-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.7 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.7/1.7 MB\u001b[0m \u001b[31m82.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: prompt-toolkit>=3.0.0 in /usr/local/lib/python3.10/dist-packages (from fschat==0.2.29->axolotl==0.3.0) (3.0.41)\n",
"Requirement already satisfied: pydantic<2,>=1 in /usr/local/lib/python3.10/dist-packages (from fschat==0.2.29->axolotl==0.3.0) (1.10.13)\n",
"Requirement already satisfied: rich>=10.0.0 in /usr/local/lib/python3.10/dist-packages (from fschat==0.2.29->axolotl==0.3.0) (13.7.0)\n",
"Collecting shortuuid (from fschat==0.2.29->axolotl==0.3.0)\n",
" Downloading shortuuid-1.0.11-py3-none-any.whl (10 kB)\n",
"Collecting tiktoken (from fschat==0.2.29->axolotl==0.3.0)\n",
" Downloading tiktoken-0.5.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.0 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.0/2.0 MB\u001b[0m \u001b[31m76.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting uvicorn (from fschat==0.2.29->axolotl==0.3.0)\n",
" Downloading uvicorn-0.24.0.post1-py3-none-any.whl (59 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m59.7/59.7 kB\u001b[0m \u001b[31m8.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting coloredlogs (from optimum==1.13.2->axolotl==0.3.0)\n",
" Downloading coloredlogs-15.0.1-py2.py3-none-any.whl (46 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m46.0/46.0 kB\u001b[0m \u001b[31m6.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from optimum==1.13.2->axolotl==0.3.0) (1.12)\n",
"Requirement already satisfied: transformers[sentencepiece]>=4.26.0 in /usr/local/lib/python3.10/dist-packages (from optimum==1.13.2->axolotl==0.3.0) (4.35.2)\n",
"Requirement already satisfied: absl-py in /usr/local/lib/python3.10/dist-packages (from rouge-score==0.1.2->axolotl==0.3.0) (1.4.0)\n",
"Requirement already satisfied: nltk in /usr/local/lib/python3.10/dist-packages (from rouge-score==0.1.2->axolotl==0.3.0) (3.8.1)\n",
"Requirement already satisfied: six>=1.14.0 in /usr/local/lib/python3.10/dist-packages (from rouge-score==0.1.2->axolotl==0.3.0) (1.16.0)\n",
"Requirement already satisfied: joblib>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from scikit-learn==1.2.2->axolotl==0.3.0) (1.3.2)\n",
"Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn==1.2.2->axolotl==0.3.0) (3.2.0)\n",
"Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers==4.35.1->axolotl==0.3.0) (3.13.1)\n",
"Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.35.1->axolotl==0.3.0) (2023.6.3)\n",
"Collecting tokenizers<0.15,>=0.14 (from transformers==4.35.1->axolotl==0.3.0)\n",
" Downloading tokenizers-0.14.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.8 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.8/3.8 MB\u001b[0m \u001b[31m116.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting torch>=1.10.0 (from accelerate==0.24.1->axolotl==0.3.0)\n",
" Downloading torch-2.0.1-cp310-cp310-manylinux1_x86_64.whl (619.9 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m619.9/619.9 MB\u001b[0m \u001b[31m2.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0) (4.5.0)\n",
"Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0) (3.2.1)\n",
"Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0) (3.1.2)\n",
"Collecting nvidia-cuda-nvrtc-cu11==11.7.99 (from torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0)\n",
" Downloading nvidia_cuda_nvrtc_cu11-11.7.99-2-py3-none-manylinux1_x86_64.whl (21.0 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m21.0/21.0 MB\u001b[0m \u001b[31m63.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting nvidia-cuda-runtime-cu11==11.7.99 (from torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0)\n",
" Downloading nvidia_cuda_runtime_cu11-11.7.99-py3-none-manylinux1_x86_64.whl (849 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m849.3/849.3 kB\u001b[0m \u001b[31m58.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting nvidia-cuda-cupti-cu11==11.7.101 (from torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0)\n",
" Downloading nvidia_cuda_cupti_cu11-11.7.101-py3-none-manylinux1_x86_64.whl (11.8 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.8/11.8 MB\u001b[0m \u001b[31m79.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting nvidia-cudnn-cu11==8.5.0.96 (from torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0)\n",
" Downloading nvidia_cudnn_cu11-8.5.0.96-2-py3-none-manylinux1_x86_64.whl (557.1 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m557.1/557.1 MB\u001b[0m \u001b[31m3.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting nvidia-cublas-cu11==11.10.3.66 (from torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0)\n",
" Downloading nvidia_cublas_cu11-11.10.3.66-py3-none-manylinux1_x86_64.whl (317.1 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m317.1/317.1 MB\u001b[0m \u001b[31m4.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting nvidia-cufft-cu11==10.9.0.58 (from torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0)\n",
" Downloading nvidia_cufft_cu11-10.9.0.58-py3-none-manylinux1_x86_64.whl (168.4 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m168.4/168.4 MB\u001b[0m \u001b[31m7.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting nvidia-curand-cu11==10.2.10.91 (from torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0)\n",
" Downloading nvidia_curand_cu11-10.2.10.91-py3-none-manylinux1_x86_64.whl (54.6 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m54.6/54.6 MB\u001b[0m \u001b[31m12.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting nvidia-cusolver-cu11==11.4.0.1 (from torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0)\n",
" Downloading nvidia_cusolver_cu11-11.4.0.1-2-py3-none-manylinux1_x86_64.whl (102.6 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m102.6/102.6 MB\u001b[0m \u001b[31m8.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting nvidia-cusparse-cu11==11.7.4.91 (from torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0)\n",
" Downloading nvidia_cusparse_cu11-11.7.4.91-py3-none-manylinux1_x86_64.whl (173.2 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m173.2/173.2 MB\u001b[0m \u001b[31m6.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting nvidia-nccl-cu11==2.14.3 (from torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0)\n",
" Downloading nvidia_nccl_cu11-2.14.3-py3-none-manylinux1_x86_64.whl (177.1 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m177.1/177.1 MB\u001b[0m \u001b[31m6.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting nvidia-nvtx-cu11==11.7.91 (from torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0)\n",
" Downloading nvidia_nvtx_cu11-11.7.91-py3-none-manylinux1_x86_64.whl (98 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m98.6/98.6 kB\u001b[0m \u001b[31m13.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting triton==2.0.0 (from torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0)\n",
" Downloading triton-2.0.0-1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (63.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m63.3/63.3 MB\u001b[0m \u001b[31m9.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from nvidia-cublas-cu11==11.10.3.66->torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0) (67.7.2)\n",
"Requirement already satisfied: wheel in /usr/local/lib/python3.10/dist-packages (from nvidia-cublas-cu11==11.10.3.66->torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0) (0.41.3)\n",
"Requirement already satisfied: cmake in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0) (3.27.7)\n",
"Collecting lit (from triton==2.0.0->torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0)\n",
" Downloading lit-17.0.5.tar.gz (153 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m153.0/153.0 kB\u001b[0m \u001b[31m20.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
" Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
" Installing backend dependencies ... \u001b[?25l\u001b[?25hdone\n",
" Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
"Requirement already satisfied: pyarrow>=8.0.0 in /usr/local/lib/python3.10/dist-packages (from datasets>=2.14.0->axolotl==0.3.0) (9.0.0)\n",
"Collecting pyarrow-hotfix (from datasets>=2.14.0->axolotl==0.3.0)\n",
" Downloading pyarrow_hotfix-0.5-py3-none-any.whl (7.8 kB)\n",
"Collecting ninja (from flash-attn>=2.3.0->axolotl==0.3.0)\n",
" Downloading ninja-1.11.1.1-py2.py3-none-manylinux1_x86_64.manylinux_2_5_x86_64.whl (307 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m307.2/307.2 kB\u001b[0m \u001b[31m37.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting hjson (from deepspeed->axolotl==0.3.0)\n",
" Downloading hjson-3.1.0-py3-none-any.whl (54 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m54.0/54.0 kB\u001b[0m \u001b[31m9.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: py-cpuinfo in /usr/local/lib/python3.10/dist-packages (from deepspeed->axolotl==0.3.0) (9.0.0)\n",
"Requirement already satisfied: termcolor in /usr/local/lib/python3.10/dist-packages (from fire->axolotl==0.3.0) (2.3.0)\n",
"Requirement already satisfied: decorator>4.1.2 in /usr/local/lib/python3.10/dist-packages (from gcsfs->axolotl==0.3.0) (4.4.2)\n",
"Requirement already satisfied: google-auth>=1.2 in /usr/local/lib/python3.10/dist-packages (from gcsfs->axolotl==0.3.0) (2.17.3)\n",
"Requirement already satisfied: google-auth-oauthlib in /usr/local/lib/python3.10/dist-packages (from gcsfs->axolotl==0.3.0) (1.0.0)\n",
"Requirement already satisfied: google-cloud-storage in /usr/local/lib/python3.10/dist-packages (from gcsfs->axolotl==0.3.0) (2.8.0)\n",
"Collecting aiofiles<24.0,>=22.0 (from gradio->axolotl==0.3.0)\n",
" Downloading aiofiles-23.2.1-py3-none-any.whl (15 kB)\n",
"Requirement already satisfied: altair<6.0,>=4.2.0 in /usr/local/lib/python3.10/dist-packages (from gradio->axolotl==0.3.0) (4.2.2)\n",
"Collecting ffmpy (from gradio->axolotl==0.3.0)\n",
" Downloading ffmpy-0.3.1.tar.gz (5.5 kB)\n",
" Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
"Collecting gradio-client==0.7.0 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.7.0-py3-none-any.whl (302 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m302.7/302.7 kB\u001b[0m \u001b[31m37.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: importlib-resources<7.0,>=1.3 in /usr/local/lib/python3.10/dist-packages (from gradio->axolotl==0.3.0) (6.1.1)\n",
"Requirement already satisfied: markupsafe~=2.0 in /usr/local/lib/python3.10/dist-packages (from gradio->axolotl==0.3.0) (2.1.3)\n",
"Collecting orjson~=3.0 (from gradio->axolotl==0.3.0)\n",
" Downloading orjson-3.9.10-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (138 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m138.7/138.7 kB\u001b[0m \u001b[31m20.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: pillow<11.0,>=8.0 in /usr/local/lib/python3.10/dist-packages (from gradio->axolotl==0.3.0) (9.4.0)\n",
"INFO: pip is looking at multiple versions of gradio to determine which version is compatible with other requirements. This could take a while.\n",
"Collecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-4.4.0-py3-none-any.whl (15.4 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.4/15.4 MB\u001b[0m \u001b[31m84.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-4.3.0-py3-none-any.whl (15.4 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.4/15.4 MB\u001b[0m \u001b[31m76.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-4.2.0-py3-none-any.whl (15.4 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.4/15.4 MB\u001b[0m \u001b[31m81.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-4.1.2-py3-none-any.whl (15.4 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.4/15.4 MB\u001b[0m \u001b[31m83.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-4.1.1-py3-none-any.whl (15.4 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.4/15.4 MB\u001b[0m \u001b[31m78.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-4.1.0-py3-none-any.whl (15.4 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.4/15.4 MB\u001b[0m \u001b[31m17.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-4.0.2-py3-none-any.whl (25.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m25.3/25.3 MB\u001b[0m \u001b[31m49.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hINFO: pip is looking at multiple versions of gradio to determine which version is compatible with other requirements. This could take a while.\n",
" Downloading gradio-4.0.1-py3-none-any.whl (25.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m25.3/25.3 MB\u001b[0m \u001b[31m56.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-4.0.0-py3-none-any.whl (25.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m25.3/25.3 MB\u001b[0m \u001b[31m15.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.50.2-py3-none-any.whl (20.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.3/20.3 MB\u001b[0m \u001b[31m66.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client==0.6.1 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.6.1-py3-none-any.whl (299 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m299.2/299.2 kB\u001b[0m \u001b[31m33.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting pydub (from gradio->axolotl==0.3.0)\n",
" Downloading pydub-0.25.1-py2.py3-none-any.whl (32 kB)\n",
"Collecting python-multipart (from gradio->axolotl==0.3.0)\n",
" Downloading python_multipart-0.0.6-py3-none-any.whl (45 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m45.7/45.7 kB\u001b[0m \u001b[31m7.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting semantic-version~=2.0 (from gradio->axolotl==0.3.0)\n",
" Downloading semantic_version-2.10.0-py2.py3-none-any.whl (15 kB)\n",
"Collecting websockets<12.0,>=10.0 (from gradio->axolotl==0.3.0)\n",
" Downloading websockets-11.0.3-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (129 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m129.9/129.9 kB\u001b[0m \u001b[31m18.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: llvmlite<0.42,>=0.41.0dev0 in /usr/local/lib/python3.10/dist-packages (from numba->axolotl==0.3.0) (0.41.1)\n",
"Collecting aiobotocore~=2.7.0 (from s3fs->axolotl==0.3.0)\n",
" Downloading aiobotocore-2.7.0-py3-none-any.whl (73 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m73.5/73.5 kB\u001b[0m \u001b[31m10.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hINFO: pip is looking at multiple versions of s3fs to determine which version is compatible with other requirements. This could take a while.\n",
"Collecting s3fs (from axolotl==0.3.0)\n",
" Downloading s3fs-2023.9.2-py3-none-any.whl (28 kB)\n",
"Collecting aiobotocore~=2.5.4 (from s3fs->axolotl==0.3.0)\n",
" Downloading aiobotocore-2.5.4-py3-none-any.whl (73 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m73.4/73.4 kB\u001b[0m \u001b[31m8.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting s3fs (from axolotl==0.3.0)\n",
" Downloading s3fs-2023.9.1-py3-none-any.whl (28 kB)\n",
" Downloading s3fs-2023.9.0-py3-none-any.whl (28 kB)\n",
" Downloading s3fs-2023.6.0-py3-none-any.whl (28 kB)\n",
"Requirement already satisfied: grpcio>=1.48.2 in /usr/local/lib/python3.10/dist-packages (from tensorboard->axolotl==0.3.0) (1.59.2)\n",
"Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.10/dist-packages (from tensorboard->axolotl==0.3.0) (3.5.1)\n",
"Requirement already satisfied: protobuf>=3.19.6 in /usr/local/lib/python3.10/dist-packages (from tensorboard->axolotl==0.3.0) (3.20.3)\n",
"Requirement already satisfied: tensorboard-data-server<0.8.0,>=0.7.0 in /usr/local/lib/python3.10/dist-packages (from tensorboard->axolotl==0.3.0) (0.7.2)\n",
"Requirement already satisfied: werkzeug>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from tensorboard->axolotl==0.3.0) (3.0.1)\n",
"Requirement already satisfied: Click!=8.0.0,>=7.1 in /usr/local/lib/python3.10/dist-packages (from wandb->axolotl==0.3.0) (8.1.7)\n",
"Collecting GitPython!=3.1.29,>=1.0.0 (from wandb->axolotl==0.3.0)\n",
" Downloading GitPython-3.1.40-py3-none-any.whl (190 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m190.6/190.6 kB\u001b[0m \u001b[31m26.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting sentry-sdk>=1.0.0 (from wandb->axolotl==0.3.0)\n",
" Downloading sentry_sdk-1.35.0-py2.py3-none-any.whl (248 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m248.6/248.6 kB\u001b[0m \u001b[31m27.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting docker-pycreds>=0.4.0 (from wandb->axolotl==0.3.0)\n",
" Downloading docker_pycreds-0.4.0-py2.py3-none-any.whl (9.0 kB)\n",
"Collecting setproctitle (from wandb->axolotl==0.3.0)\n",
" Downloading setproctitle-1.3.3-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (30 kB)\n",
"Requirement already satisfied: appdirs>=1.4.3 in /usr/local/lib/python3.10/dist-packages (from wandb->axolotl==0.3.0) (1.4.4)\n",
"Collecting botocore<1.31.18,>=1.31.17 (from aiobotocore~=2.5.4->s3fs->axolotl==0.3.0)\n",
" Downloading botocore-1.31.17-py3-none-any.whl (11.1 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m11.1/11.1 MB\u001b[0m \u001b[31m122.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: wrapt<2.0.0,>=1.10.10 in /usr/local/lib/python3.10/dist-packages (from aiobotocore~=2.5.4->s3fs->axolotl==0.3.0) (1.14.1)\n",
"Collecting aioitertools<1.0.0,>=0.5.1 (from aiobotocore~=2.5.4->s3fs->axolotl==0.3.0)\n",
" Downloading aioitertools-0.11.0-py3-none-any.whl (23 kB)\n",
"Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->fschat==0.2.29->axolotl==0.3.0) (23.1.0)\n",
"Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->fschat==0.2.29->axolotl==0.3.0) (3.3.2)\n",
"Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.10/dist-packages (from aiohttp->fschat==0.2.29->axolotl==0.3.0) (6.0.4)\n",
"Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in /usr/local/lib/python3.10/dist-packages (from aiohttp->fschat==0.2.29->axolotl==0.3.0) (4.0.3)\n",
"Requirement already satisfied: yarl<2.0,>=1.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->fschat==0.2.29->axolotl==0.3.0) (1.9.2)\n",
"Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from aiohttp->fschat==0.2.29->axolotl==0.3.0) (1.4.0)\n",
"Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.10/dist-packages (from aiohttp->fschat==0.2.29->axolotl==0.3.0) (1.3.1)\n",
"Requirement already satisfied: entrypoints in /usr/local/lib/python3.10/dist-packages (from altair<6.0,>=4.2.0->gradio->axolotl==0.3.0) (0.4)\n",
"Requirement already satisfied: jsonschema>=3.0 in /usr/local/lib/python3.10/dist-packages (from altair<6.0,>=4.2.0->gradio->axolotl==0.3.0) (4.19.2)\n",
"Requirement already satisfied: toolz in /usr/local/lib/python3.10/dist-packages (from altair<6.0,>=4.2.0->gradio->axolotl==0.3.0) (0.12.0)\n",
"Collecting gitdb<5,>=4.0.1 (from GitPython!=3.1.29,>=1.0.0->wandb->axolotl==0.3.0)\n",
" Downloading gitdb-4.0.11-py3-none-any.whl (62 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m62.7/62.7 kB\u001b[0m \u001b[31m10.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: cachetools<6.0,>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from google-auth>=1.2->gcsfs->axolotl==0.3.0) (5.3.2)\n",
"Requirement already satisfied: pyasn1-modules>=0.2.1 in /usr/local/lib/python3.10/dist-packages (from google-auth>=1.2->gcsfs->axolotl==0.3.0) (0.3.0)\n",
"Requirement already satisfied: rsa<5,>=3.1.4 in /usr/local/lib/python3.10/dist-packages (from google-auth>=1.2->gcsfs->axolotl==0.3.0) (4.9)\n",
"Requirement already satisfied: requests-oauthlib>=0.7.0 in /usr/local/lib/python3.10/dist-packages (from google-auth-oauthlib->gcsfs->axolotl==0.3.0) (1.3.1)\n",
"Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->bert-score==0.3.13->axolotl==0.3.0) (1.2.0)\n",
"Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib->bert-score==0.3.13->axolotl==0.3.0) (0.12.1)\n",
"Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->bert-score==0.3.13->axolotl==0.3.0) (4.44.3)\n",
"Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->bert-score==0.3.13->axolotl==0.3.0) (1.4.5)\n",
"Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->bert-score==0.3.13->axolotl==0.3.0) (3.1.1)\n",
"Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib->bert-score==0.3.13->axolotl==0.3.0) (2.8.2)\n",
"Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas>=1.0.1->bert-score==0.3.13->axolotl==0.3.0) (2023.3.post1)\n",
"Requirement already satisfied: wcwidth in /usr/local/lib/python3.10/dist-packages (from prompt-toolkit>=3.0.0->fschat==0.2.29->axolotl==0.3.0) (0.2.10)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->bert-score==0.3.13->axolotl==0.3.0) (3.4)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->bert-score==0.3.13->axolotl==0.3.0) (2.0.7)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->bert-score==0.3.13->axolotl==0.3.0) (2023.7.22)\n",
"Requirement already satisfied: markdown-it-py>=2.2.0 in /usr/local/lib/python3.10/dist-packages (from rich>=10.0.0->fschat==0.2.29->axolotl==0.3.0) (3.0.0)\n",
"Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.10/dist-packages (from rich>=10.0.0->fschat==0.2.29->axolotl==0.3.0) (2.16.1)\n",
"INFO: pip is looking at multiple versions of tokenizers to determine which version is compatible with other requirements. This could take a while.\n",
"Collecting tokenizers<0.15,>=0.14 (from transformers==4.35.1->axolotl==0.3.0)\n",
" Downloading tokenizers-0.14.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.8 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.8/3.8 MB\u001b[0m \u001b[31m103.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hINFO: This is taking longer than usual. You might need to provide the dependency resolver with stricter constraints to reduce runtime. See https://pip.pypa.io/warnings/backtracking for guidance. If you want to abort this run, press Ctrl + C.\n",
"Collecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.50.1-py3-none-any.whl (20.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.3/20.3 MB\u001b[0m \u001b[31m88.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.50.0-py3-none-any.whl (20.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.3/20.3 MB\u001b[0m \u001b[31m37.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.49.0-py3-none-any.whl (20.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.3/20.3 MB\u001b[0m \u001b[31m57.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hINFO: pip is looking at multiple versions of tokenizers to determine which version is compatible with other requirements. This could take a while.\n",
" Downloading gradio-3.48.0-py3-none-any.whl (20.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.3/20.3 MB\u001b[0m \u001b[31m63.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.47.1-py3-none-any.whl (20.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.3/20.3 MB\u001b[0m \u001b[31m18.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client==0.6.0 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.6.0-py3-none-any.whl (298 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m298.8/298.8 kB\u001b[0m \u001b[31m37.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.47.0-py3-none-any.whl (20.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.3/20.3 MB\u001b[0m \u001b[31m98.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hINFO: This is taking longer than usual. You might need to provide the dependency resolver with stricter constraints to reduce runtime. See https://pip.pypa.io/warnings/backtracking for guidance. If you want to abort this run, press Ctrl + C.\n",
" Downloading gradio-3.46.1-py3-none-any.whl (20.2 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.2/20.2 MB\u001b[0m \u001b[31m95.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client==0.5.3 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.5.3-py3-none-any.whl (298 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m298.4/298.4 kB\u001b[0m \u001b[31m39.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.46.0-py3-none-any.whl (20.2 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.2/20.2 MB\u001b[0m \u001b[31m95.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.45.2-py3-none-any.whl (20.2 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.2/20.2 MB\u001b[0m \u001b[31m28.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.45.1-py3-none-any.whl (20.2 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.2/20.2 MB\u001b[0m \u001b[31m57.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client==0.5.2 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.5.2-py3-none-any.whl (298 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m298.3/298.3 kB\u001b[0m \u001b[31m37.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.45.0-py3-none-any.whl (20.2 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.2/20.2 MB\u001b[0m \u001b[31m96.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.44.4-py3-none-any.whl (20.2 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.2/20.2 MB\u001b[0m \u001b[31m22.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client==0.5.1 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.5.1-py3-none-any.whl (298 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m298.2/298.2 kB\u001b[0m \u001b[31m19.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.44.3-py3-none-any.whl (20.2 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.2/20.2 MB\u001b[0m \u001b[31m96.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client==0.5.0 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.5.0-py3-none-any.whl (298 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m298.2/298.2 kB\u001b[0m \u001b[31m37.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.44.2-py3-none-any.whl (20.2 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.2/20.2 MB\u001b[0m \u001b[31m91.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.44.1-py3-none-any.whl (20.2 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.2/20.2 MB\u001b[0m \u001b[31m104.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.44.0-py3-none-any.whl (20.2 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.2/20.2 MB\u001b[0m \u001b[31m18.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.43.2-py3-none-any.whl (20.1 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.1/20.1 MB\u001b[0m \u001b[31m67.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.43.1-py3-none-any.whl (20.1 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.1/20.1 MB\u001b[0m \u001b[31m64.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.43.0-py3-none-any.whl (20.1 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.1/20.1 MB\u001b[0m \u001b[31m75.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.42.0-py3-none-any.whl (20.1 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.1/20.1 MB\u001b[0m \u001b[31m16.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.41.2-py3-none-any.whl (20.1 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.1/20.1 MB\u001b[0m \u001b[31m75.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.41.1-py3-none-any.whl (20.1 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.1/20.1 MB\u001b[0m \u001b[31m40.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.41.0-py3-none-any.whl (20.1 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.1/20.1 MB\u001b[0m \u001b[31m25.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.40.1-py3-none-any.whl (20.0 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.0/20.0 MB\u001b[0m \u001b[31m53.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting mdit-py-plugins<=0.3.3 (from gradio->axolotl==0.3.0)\n",
" Downloading mdit_py_plugins-0.3.3-py3-none-any.whl (50 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m50.5/50.5 kB\u001b[0m \u001b[31m6.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client>=0.4.0 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.4.0-py3-none-any.whl (297 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m297.4/297.4 kB\u001b[0m \u001b[31m32.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.40.0-py3-none-any.whl (20.0 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.0/20.0 MB\u001b[0m \u001b[31m54.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.39.0-py3-none-any.whl (19.9 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m19.9/19.9 MB\u001b[0m \u001b[31m67.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client>=0.3.0 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.3.0-py3-none-any.whl (294 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m294.2/294.2 kB\u001b[0m \u001b[31m37.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.38.0-py3-none-any.whl (19.8 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m19.8/19.8 MB\u001b[0m \u001b[31m18.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client>=0.2.10 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.2.10-py3-none-any.whl (288 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m289.0/289.0 kB\u001b[0m \u001b[31m35.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.37.0-py3-none-any.whl (19.8 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m19.8/19.8 MB\u001b[0m \u001b[31m90.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.36.1-py3-none-any.whl (19.8 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m19.8/19.8 MB\u001b[0m \u001b[31m103.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting websockets>=10.0 (from gradio->axolotl==0.3.0)\n",
" Downloading websockets-12.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (130 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m130.2/130.2 kB\u001b[0m \u001b[31m18.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client>=0.2.7 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.2.9-py3-none-any.whl (288 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m288.8/288.8 kB\u001b[0m \u001b[31m32.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio_client-0.2.8-py3-none-any.whl (288 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m288.8/288.8 kB\u001b[0m \u001b[31m27.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio_client-0.2.7-py3-none-any.whl (288 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m288.4/288.4 kB\u001b[0m \u001b[31m36.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.36.0-py3-none-any.whl (19.8 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m19.8/19.8 MB\u001b[0m \u001b[31m74.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.35.2-py3-none-any.whl (19.7 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m19.7/19.7 MB\u001b[0m \u001b[31m22.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.35.1-py3-none-any.whl (19.7 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m19.7/19.7 MB\u001b[0m \u001b[31m52.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.35.0-py3-none-any.whl (19.7 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m19.7/19.7 MB\u001b[0m \u001b[31m93.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.34.0-py3-none-any.whl (20.0 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.0/20.0 MB\u001b[0m \u001b[31m92.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client>=0.2.6 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.2.6-py3-none-any.whl (288 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m288.3/288.3 kB\u001b[0m \u001b[31m30.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.33.1-py3-none-any.whl (20.0 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.0/20.0 MB\u001b[0m \u001b[31m18.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client>=0.2.4 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.2.5-py3-none-any.whl (288 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m288.1/288.1 kB\u001b[0m \u001b[31m34.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio_client-0.2.4-py3-none-any.whl (287 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m287.9/287.9 kB\u001b[0m \u001b[31m30.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.33.0-py3-none-any.whl (20.0 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.0/20.0 MB\u001b[0m \u001b[31m95.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.32.0-py3-none-any.whl (19.9 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m19.9/19.9 MB\u001b[0m \u001b[31m95.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.31.0-py3-none-any.whl (17.4 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m17.4/17.4 MB\u001b[0m \u001b[31m86.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.30.0-py3-none-any.whl (17.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m17.3/17.3 MB\u001b[0m \u001b[31m73.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.29.0-py3-none-any.whl (17.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m17.3/17.3 MB\u001b[0m \u001b[31m15.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client>=0.2.1 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.2.3-py3-none-any.whl (287 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m287.9/287.9 kB\u001b[0m \u001b[31m32.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio_client-0.2.2-py3-none-any.whl (287 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m287.9/287.9 kB\u001b[0m \u001b[31m33.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio_client-0.2.1-py3-none-any.whl (287 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m287.9/287.9 kB\u001b[0m \u001b[31m34.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.28.3-py3-none-any.whl (17.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m17.3/17.3 MB\u001b[0m \u001b[31m75.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client>=0.1.3 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.2.0-py3-none-any.whl (287 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m287.9/287.9 kB\u001b[0m \u001b[31m30.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio_client-0.1.4-py3-none-any.whl (286 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m286.7/286.7 kB\u001b[0m \u001b[31m32.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio_client-0.1.3-py3-none-any.whl (286 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m286.2/286.2 kB\u001b[0m \u001b[31m31.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.28.2-py3-none-any.whl (17.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m17.3/17.3 MB\u001b[0m \u001b[31m68.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.28.1-py3-none-any.whl (17.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m17.3/17.3 MB\u001b[0m \u001b[31m64.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.28.0-py3-none-any.whl (17.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m17.3/17.3 MB\u001b[0m \u001b[31m98.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.27.0-py3-none-any.whl (17.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m17.3/17.3 MB\u001b[0m \u001b[31m33.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.26.0-py3-none-any.whl (17.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m17.3/17.3 MB\u001b[0m \u001b[31m101.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client==0.1.2 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.1.2-py3-none-any.whl (286 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m286.1/286.1 kB\u001b[0m \u001b[31m36.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.25.0-py3-none-any.whl (17.5 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m17.5/17.5 MB\u001b[0m \u001b[31m101.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client>=0.0.8 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.1.0-py3-none-any.whl (24 kB)\n",
" Downloading gradio_client-0.0.10-py3-none-any.whl (23 kB)\n",
" Downloading gradio_client-0.0.9-py3-none-any.whl (23 kB)\n",
" Downloading gradio_client-0.0.8-py3-none-any.whl (20 kB)\n",
"Collecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.24.1-py3-none-any.whl (15.7 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.7/15.7 MB\u001b[0m \u001b[31m86.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gradio-client>=0.0.5 (from gradio->axolotl==0.3.0)\n",
" Downloading gradio_client-0.0.7-py3-none-any.whl (14 kB)\n",
" Downloading gradio_client-0.0.6-py3-none-any.whl (14 kB)\n",
" Downloading gradio_client-0.0.5-py3-none-any.whl (12 kB)\n",
"Collecting gradio (from axolotl==0.3.0)\n",
" Downloading gradio-3.24.0-py3-none-any.whl (15.7 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.7/15.7 MB\u001b[0m \u001b[31m15.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.23.0-py3-none-any.whl (15.8 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.8/15.8 MB\u001b[0m \u001b[31m107.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.22.1-py3-none-any.whl (15.8 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.8/15.8 MB\u001b[0m \u001b[31m91.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.22.0-py3-none-any.whl (15.8 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.8/15.8 MB\u001b[0m \u001b[31m90.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.21.0-py3-none-any.whl (15.8 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m15.8/15.8 MB\u001b[0m \u001b[31m102.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading gradio-3.20.1-py3-none-any.whl (14.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m14.3/14.3 MB\u001b[0m \u001b[31m106.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting pycryptodome (from gradio->axolotl==0.3.0)\n",
" Downloading pycryptodome-3.19.0-cp35-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.1/2.1 MB\u001b[0m \u001b[31m92.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting datasets>=2.14.0 (from axolotl==0.3.0)\n",
" Downloading datasets-2.14.7-py3-none-any.whl (520 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m520.4/520.4 kB\u001b[0m \u001b[31m53.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting huggingface-hub (from accelerate==0.24.1->axolotl==0.3.0)\n",
" Downloading huggingface_hub-0.17.3-py3-none-any.whl (295 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m295.0/295.0 kB\u001b[0m \u001b[31m32.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hINFO: pip is looking at multiple versions of s3fs to determine which version is compatible with other requirements. This could take a while.\n",
"INFO: pip is looking at multiple versions of transformers[sentencepiece] to determine which version is compatible with other requirements. This could take a while.\n",
"Collecting h11>=0.8 (from uvicorn->fschat==0.2.29->axolotl==0.3.0)\n",
" Downloading h11-0.14.0-py3-none-any.whl (58 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m58.3/58.3 kB\u001b[0m \u001b[31m8.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting humanfriendly>=9.1 (from coloredlogs->optimum==1.13.2->axolotl==0.3.0)\n",
" Downloading humanfriendly-10.0-py2.py3-none-any.whl (86 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m86.8/86.8 kB\u001b[0m \u001b[31m319.1 kB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: anyio<4.0.0,>=3.7.1 in /usr/local/lib/python3.10/dist-packages (from fastapi->fschat==0.2.29->axolotl==0.3.0) (3.7.1)\n",
"Collecting starlette<0.28.0,>=0.27.0 (from fastapi->fschat==0.2.29->axolotl==0.3.0)\n",
" Downloading starlette-0.27.0-py3-none-any.whl (66 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m67.0/67.0 kB\u001b[0m \u001b[31m8.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting typing-extensions (from torch>=1.10.0->accelerate==0.24.1->axolotl==0.3.0)\n",
" Downloading typing_extensions-4.8.0-py3-none-any.whl (31 kB)\n",
"Requirement already satisfied: google-api-core!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0,<3.0.0dev,>=1.31.5 in /usr/local/lib/python3.10/dist-packages (from google-cloud-storage->gcsfs->axolotl==0.3.0) (2.11.1)\n",
"Requirement already satisfied: google-cloud-core<3.0dev,>=2.3.0 in /usr/local/lib/python3.10/dist-packages (from google-cloud-storage->gcsfs->axolotl==0.3.0) (2.3.3)\n",
"Requirement already satisfied: google-resumable-media>=2.3.2 in /usr/local/lib/python3.10/dist-packages (from google-cloud-storage->gcsfs->axolotl==0.3.0) (2.6.0)\n",
"Collecting httpcore (from httpx->fschat==0.2.29->axolotl==0.3.0)\n",
" Downloading httpcore-1.0.2-py3-none-any.whl (76 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m76.9/76.9 kB\u001b[0m \u001b[31m9.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: sniffio in /usr/local/lib/python3.10/dist-packages (from httpx->fschat==0.2.29->axolotl==0.3.0) (1.3.0)\n",
"Collecting wavedrom (from markdown2[all]->fschat==0.2.29->axolotl==0.3.0)\n",
" Downloading wavedrom-2.0.3.post3.tar.gz (137 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m137.7/137.7 kB\u001b[0m \u001b[31m19.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
"Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->optimum==1.13.2->axolotl==0.3.0) (1.3.0)\n",
"Requirement already satisfied: exceptiongroup in /usr/local/lib/python3.10/dist-packages (from anyio<4.0.0,>=3.7.1->fastapi->fschat==0.2.29->axolotl==0.3.0) (1.1.3)\n",
"Collecting jmespath<2.0.0,>=0.7.1 (from botocore<1.31.18,>=1.31.17->aiobotocore~=2.5.4->s3fs->axolotl==0.3.0)\n",
" Downloading jmespath-1.0.1-py3-none-any.whl (20 kB)\n",
"Collecting urllib3<3,>=1.21.1 (from requests->bert-score==0.3.13->axolotl==0.3.0)\n",
" Downloading urllib3-1.26.18-py2.py3-none-any.whl (143 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m143.8/143.8 kB\u001b[0m \u001b[31m19.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting smmap<6,>=3.0.1 (from gitdb<5,>=4.0.1->GitPython!=3.1.29,>=1.0.0->wandb->axolotl==0.3.0)\n",
" Downloading smmap-5.0.1-py3-none-any.whl (24 kB)\n",
"Requirement already satisfied: googleapis-common-protos<2.0.dev0,>=1.56.2 in /usr/local/lib/python3.10/dist-packages (from google-api-core!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0,<3.0.0dev,>=1.31.5->google-cloud-storage->gcsfs->axolotl==0.3.0) (1.61.0)\n",
"Requirement already satisfied: google-crc32c<2.0dev,>=1.0 in /usr/local/lib/python3.10/dist-packages (from google-resumable-media>=2.3.2->google-cloud-storage->gcsfs->axolotl==0.3.0) (1.5.0)\n",
"Requirement already satisfied: jsonschema-specifications>=2023.03.6 in /usr/local/lib/python3.10/dist-packages (from jsonschema>=3.0->altair<6.0,>=4.2.0->gradio->axolotl==0.3.0) (2023.11.1)\n",
"Requirement already satisfied: referencing>=0.28.4 in /usr/local/lib/python3.10/dist-packages (from jsonschema>=3.0->altair<6.0,>=4.2.0->gradio->axolotl==0.3.0) (0.31.0)\n",
"Requirement already satisfied: rpds-py>=0.7.1 in /usr/local/lib/python3.10/dist-packages (from jsonschema>=3.0->altair<6.0,>=4.2.0->gradio->axolotl==0.3.0) (0.12.0)\n",
"Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py>=2.2.0->rich>=10.0.0->fschat==0.2.29->axolotl==0.3.0) (0.1.2)\n",
"Requirement already satisfied: pyasn1<0.6.0,>=0.4.6 in /usr/local/lib/python3.10/dist-packages (from pyasn1-modules>=0.2.1->google-auth>=1.2->gcsfs->axolotl==0.3.0) (0.5.0)\n",
"Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.10/dist-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib->gcsfs->axolotl==0.3.0) (3.2.2)\n",
"Collecting svgwrite (from wavedrom->markdown2[all]->fschat==0.2.29->axolotl==0.3.0)\n",
" Downloading svgwrite-1.4.3-py3-none-any.whl (67 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m67.1/67.1 kB\u001b[0m \u001b[31m10.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hBuilding wheels for collected packages: optimum, rouge-score, flash-attn, deepspeed, fire, ffmpy, wavedrom, lit\n",
" Building wheel for optimum (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for optimum: filename=optimum-1.13.2-py3-none-any.whl size=395598 sha256=c50241754999443c85c875c140c77aa5bf3a40f56a5ffd196d1f3c5199609431\n",
" Stored in directory: /root/.cache/pip/wheels/6e/b7/2c/79405d98f0943373d8546daeae25a3d377f7659ca0cbe48699\n",
" Building wheel for rouge-score (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for rouge-score: filename=rouge_score-0.1.2-py3-none-any.whl size=24933 sha256=cc9084a7eefdb136724effd732f6cb7c0fd01f0d7c9e7852043f1cd1d23b45a9\n",
" Stored in directory: /root/.cache/pip/wheels/5f/dd/89/461065a73be61a532ff8599a28e9beef17985c9e9c31e541b4\n",
" Building wheel for flash-attn (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for flash-attn: filename=flash_attn-2.3.3-cp310-cp310-linux_x86_64.whl size=57075008 sha256=bcb63b64213ab61590b340b77de84e448a442e19c100480895194df39ad7673d\n",
" Stored in directory: /root/.cache/pip/wheels/e5/e6/fa/941802ec61d1afd320d27160ab1db98e6dba65381f84b76d4a\n",
" Building wheel for deepspeed (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for deepspeed: filename=deepspeed-0.12.3-py3-none-any.whl size=1279165 sha256=e678c7b56fa15c9218f88c9a8a48728bee271215c554abcb4049f609e47adb25\n",
" Stored in directory: /root/.cache/pip/wheels/ee/2b/c5/892ceee06964ce8aa2a98d4260848d0d9a3f1e743862e4b45a\n",
" Building wheel for fire (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for fire: filename=fire-0.5.0-py2.py3-none-any.whl size=116933 sha256=2e829d74a791417c18e5d80016d0125dc65481ae4577bfd4041e51aa64558256\n",
" Stored in directory: /root/.cache/pip/wheels/90/d4/f7/9404e5db0116bd4d43e5666eaa3e70ab53723e1e3ea40c9a95\n",
" Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for ffmpy: filename=ffmpy-0.3.1-py3-none-any.whl size=5579 sha256=dd713b1fe6d28ec101c96dbf7033241901635fcddd42a07d9e97fafada70eca4\n",
" Stored in directory: /root/.cache/pip/wheels/01/a6/d1/1c0828c304a4283b2c1639a09ad86f83d7c487ef34c6b4a1bf\n",
" Building wheel for wavedrom (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for wavedrom: filename=wavedrom-2.0.3.post3-py2.py3-none-any.whl size=30053 sha256=65b629500b343fc851f1c23dd2065fa414153974ae25603bba9f99e559ecbf8c\n",
" Stored in directory: /root/.cache/pip/wheels/9c/52/8c/38b454b42f712f325e26f633287484c7dc1ad469e1580c5954\n",
" Building wheel for lit (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for lit: filename=lit-17.0.5-py3-none-any.whl size=93256 sha256=209fa0a842c16d9479d3626694714ebd0b9f4afaaacf487e3fb92d19ecfa9fcf\n",
" Stored in directory: /root/.cache/pip/wheels/1c/87/8e/5a42c0d4be23362b68bbff33b17f3c35a3df44f1cd2f5a24b4\n",
"Successfully built optimum rouge-score flash-attn deepspeed fire ffmpy wavedrom lit\n",
"Installing collected packages: sentencepiece, pydub, ninja, nh3, lit, hjson, ffmpy, bitsandbytes, addict, websockets, urllib3, typing-extensions, svgwrite, smmap, shortuuid, setproctitle, semantic-version, rouge, python-multipart, pynvml, pyarrow-hotfix, orjson, nvidia-nvtx-cu11, nvidia-nccl-cu11, nvidia-cusparse-cu11, nvidia-curand-cu11, nvidia-cufft-cu11, nvidia-cuda-runtime-cu11, nvidia-cuda-nvrtc-cu11, nvidia-cuda-cupti-cu11, nvidia-cublas-cu11, numpy, markdown2, jmespath, humanfriendly, hf_transfer, h11, fire, einops, docker-pycreds, dill, colorama, art, aioitertools, aiofiles, wavedrom, uvicorn, starlette, sentry-sdk, rouge-score, nvidia-cusolver-cu11, nvidia-cudnn-cu11, multiprocess, httpcore, gitdb, gekko, coloredlogs, botocore, tiktoken, responses, huggingface-hub, httpx, GitPython, fastapi, aiobotocore, wandb, tokenizers, s3fs, gradio-client, fschat, datasets, transformers, gradio, evaluate, triton, torch, accelerate, peft, xformers, optimum, bert-score, auto-gptq, flash-attn, deepspeed, axolotl\n",
" Attempting uninstall: urllib3\n",
" Found existing installation: urllib3 2.0.7\n",
" Uninstalling urllib3-2.0.7:\n",
" Successfully uninstalled urllib3-2.0.7\n",
" Attempting uninstall: typing-extensions\n",
" Found existing installation: typing_extensions 4.5.0\n",
" Uninstalling typing_extensions-4.5.0:\n",
" Successfully uninstalled typing_extensions-4.5.0\n",
" Attempting uninstall: numpy\n",
" Found existing installation: numpy 1.23.5\n",
" Uninstalling numpy-1.23.5:\n",
" Successfully uninstalled numpy-1.23.5\n",
" Attempting uninstall: huggingface-hub\n",
" Found existing installation: huggingface-hub 0.19.3\n",
" Uninstalling huggingface-hub-0.19.3:\n",
" Successfully uninstalled huggingface-hub-0.19.3\n",
" Attempting uninstall: tokenizers\n",
" Found existing installation: tokenizers 0.15.0\n",
" Uninstalling tokenizers-0.15.0:\n",
" Successfully uninstalled tokenizers-0.15.0\n",
" Attempting uninstall: transformers\n",
" Found existing installation: transformers 4.35.2\n",
" Uninstalling transformers-4.35.2:\n",
" Successfully uninstalled transformers-4.35.2\n",
" Attempting uninstall: triton\n",
" Found existing installation: triton 2.1.0\n",
" Uninstalling triton-2.1.0:\n",
" Successfully uninstalled triton-2.1.0\n",
" Attempting uninstall: torch\n",
" Found existing installation: torch 2.1.0+cu118\n",
" Uninstalling torch-2.1.0+cu118:\n",
" Successfully uninstalled torch-2.1.0+cu118\n",
" Running setup.py develop for axolotl\n",
"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
"lida 0.0.10 requires kaleido, which is not installed.\n",
"llmx 0.0.15a0 requires cohere, which is not installed.\n",
"llmx 0.0.15a0 requires openai, which is not installed.\n",
"cupy-cuda11x 11.0.0 requires numpy<1.26,>=1.20, but you have numpy 1.26.2 which is incompatible.\n",
"tensorflow-probability 0.22.0 requires typing-extensions<4.6.0, but you have typing-extensions 4.8.0 which is incompatible.\n",
"torchaudio 2.1.0+cu118 requires torch==2.1.0, but you have torch 2.0.1 which is incompatible.\n",
"torchdata 0.7.0 requires torch==2.1.0, but you have torch 2.0.1 which is incompatible.\n",
"torchtext 0.16.0 requires torch==2.1.0, but you have torch 2.0.1 which is incompatible.\n",
"torchvision 0.16.0+cu118 requires torch==2.1.0, but you have torch 2.0.1 which is incompatible.\u001b[0m\u001b[31m\n",
"\u001b[0mSuccessfully installed GitPython-3.1.40 accelerate-0.24.1 addict-2.4.0 aiobotocore-2.5.4 aiofiles-23.2.1 aioitertools-0.11.0 art-6.1 auto-gptq-0.5.1 axolotl-0.3.0 bert-score-0.3.13 bitsandbytes-0.41.2.post2 botocore-1.31.17 colorama-0.4.6 coloredlogs-15.0.1 datasets-2.14.7 deepspeed-0.12.3 dill-0.3.7 docker-pycreds-0.4.0 einops-0.7.0 evaluate-0.4.0 fastapi-0.104.1 ffmpy-0.3.1 fire-0.5.0 flash-attn-2.3.3 fschat-0.2.29 gekko-1.0.6 gitdb-4.0.11 gradio-3.50.2 gradio-client-0.6.1 h11-0.14.0 hf_transfer-0.1.4 hjson-3.1.0 httpcore-1.0.2 httpx-0.25.1 huggingface-hub-0.17.3 humanfriendly-10.0 jmespath-1.0.1 lit-17.0.5 markdown2-2.4.10 multiprocess-0.70.15 nh3-0.2.14 ninja-1.11.1.1 numpy-1.26.2 nvidia-cublas-cu11-11.10.3.66 nvidia-cuda-cupti-cu11-11.7.101 nvidia-cuda-nvrtc-cu11-11.7.99 nvidia-cuda-runtime-cu11-11.7.99 nvidia-cudnn-cu11-8.5.0.96 nvidia-cufft-cu11-10.9.0.58 nvidia-curand-cu11-10.2.10.91 nvidia-cusolver-cu11-11.4.0.1 nvidia-cusparse-cu11-11.7.4.91 nvidia-nccl-cu11-2.14.3 nvidia-nvtx-cu11-11.7.91 optimum-1.13.2 orjson-3.9.10 peft-0.6.0 pyarrow-hotfix-0.5 pydub-0.25.1 pynvml-11.5.0 python-multipart-0.0.6 responses-0.18.0 rouge-1.0.1 rouge-score-0.1.2 s3fs-2023.6.0 semantic-version-2.10.0 sentencepiece-0.1.99 sentry-sdk-1.35.0 setproctitle-1.3.3 shortuuid-1.0.11 smmap-5.0.1 starlette-0.27.0 svgwrite-1.4.3 tiktoken-0.5.1 tokenizers-0.14.1 torch-2.0.1 transformers-4.35.1 triton-2.0.0 typing-extensions-4.8.0 urllib3-1.26.18 uvicorn-0.24.0.post1 wandb-0.16.0 wavedrom-2.0.3.post3 websockets-11.0.3 xformers-0.0.22\n"
]
}
],
"source": [
"# Install axolotl\n",
"!git clone https://github.com/OpenAccess-AI-Collective/axolotl && cd axolotl && git checkout 797f3dd1de8fd8c0eafbd1c9fdb172abd9ff840a #0.3.0\n",
"!cd axolotl\n",
"!pip install packaging\n",
"!cd axolotl && pip install -e '.[flash-attn,deepspeed]'"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "ET82VllsW6gU",
"outputId": "27e4d16a-da64-46ed-b927-ce12b3f9af6d"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"accelerate configuration saved at /root/.cache/huggingface/accelerate/default_config.yaml\n"
]
}
],
"source": [
"!accelerate config default"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "n_xquNdQYsMX",
"outputId": "68de83a9-2e5a-49e6-ff06-5013eb085370"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: accelerate in /usr/local/lib/python3.10/dist-packages (0.24.1)\n",
"Requirement already satisfied: bitsandbytes in /usr/local/lib/python3.10/dist-packages (0.41.2.post2)\n",
"Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from accelerate) (1.26.2)\n",
"Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from accelerate) (23.2)\n",
"Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from accelerate) (5.9.5)\n",
"Requirement already satisfied: pyyaml in /usr/local/lib/python3.10/dist-packages (from accelerate) (6.0.1)\n",
"Requirement already satisfied: torch>=1.10.0 in /usr/local/lib/python3.10/dist-packages (from accelerate) (2.0.1)\n",
"Requirement already satisfied: huggingface-hub in /usr/local/lib/python3.10/dist-packages (from accelerate) (0.17.3)\n",
"Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.13.1)\n",
"Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (4.8.0)\n",
"Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (1.12)\n",
"Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.2.1)\n",
"Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.1.2)\n",
"Requirement already satisfied: nvidia-cuda-nvrtc-cu11==11.7.99 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (11.7.99)\n",
"Requirement already satisfied: nvidia-cuda-runtime-cu11==11.7.99 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (11.7.99)\n",
"Requirement already satisfied: nvidia-cuda-cupti-cu11==11.7.101 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (11.7.101)\n",
"Requirement already satisfied: nvidia-cudnn-cu11==8.5.0.96 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (8.5.0.96)\n",
"Requirement already satisfied: nvidia-cublas-cu11==11.10.3.66 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (11.10.3.66)\n",
"Requirement already satisfied: nvidia-cufft-cu11==10.9.0.58 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (10.9.0.58)\n",
"Requirement already satisfied: nvidia-curand-cu11==10.2.10.91 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (10.2.10.91)\n",
"Requirement already satisfied: nvidia-cusolver-cu11==11.4.0.1 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (11.4.0.1)\n",
"Requirement already satisfied: nvidia-cusparse-cu11==11.7.4.91 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (11.7.4.91)\n",
"Requirement already satisfied: nvidia-nccl-cu11==2.14.3 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (2.14.3)\n",
"Requirement already satisfied: nvidia-nvtx-cu11==11.7.91 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (11.7.91)\n",
"Requirement already satisfied: triton==2.0.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (2.0.0)\n",
"Requirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from nvidia-cublas-cu11==11.10.3.66->torch>=1.10.0->accelerate) (67.7.2)\n",
"Requirement already satisfied: wheel in /usr/local/lib/python3.10/dist-packages (from nvidia-cublas-cu11==11.10.3.66->torch>=1.10.0->accelerate) (0.41.3)\n",
"Requirement already satisfied: cmake in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.10.0->accelerate) (3.27.7)\n",
"Requirement already satisfied: lit in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.10.0->accelerate) (17.0.5)\n",
"Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from huggingface-hub->accelerate) (2023.6.0)\n",
"Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from huggingface-hub->accelerate) (2.31.0)\n",
"Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub->accelerate) (4.66.1)\n",
"Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.10.0->accelerate) (2.1.3)\n",
"Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (3.3.2)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (3.4)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (1.26.18)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (2023.7.22)\n",
"Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.10.0->accelerate) (1.3.0)\n",
"/content\n"
]
}
],
"source": [
"!pip install accelerate bitsandbytes\n",
"!pwd"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "IZv_VnRrtTSz",
"outputId": "36439ab2-c4de-46b5-dd36-b90d09db8358"
},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import torch\n",
"torch.cuda.is_available()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "9SwNYGmisJU6",
"outputId": "963ffc20-dd38-48e4-f72d-8a4d78e36461"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (4.35.1)\n",
"Collecting transformers\n",
" Downloading transformers-4.35.2-py3-none-any.whl (7.9 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.9/7.9 MB\u001b[0m \u001b[31m24.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers) (3.13.1)\n",
"Requirement already satisfied: huggingface-hub<1.0,>=0.16.4 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.17.3)\n",
"Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (1.26.2)\n",
"Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (23.2)\n",
"Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (6.0.1)\n",
"Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (2023.6.3)\n",
"Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers) (2.31.0)\n",
"Requirement already satisfied: tokenizers<0.19,>=0.14 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.14.1)\n",
"Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.4.0)\n",
"Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers) (4.66.1)\n",
"Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.16.4->transformers) (2023.6.0)\n",
"Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.16.4->transformers) (4.8.0)\n",
"Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.3.2)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.4)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (1.26.18)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2023.7.22)\n",
"Installing collected packages: transformers\n",
" Attempting uninstall: transformers\n",
" Found existing installation: transformers 4.35.1\n",
" Uninstalling transformers-4.35.1:\n",
" Successfully uninstalled transformers-4.35.1\n",
"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
"axolotl 0.3.0 requires transformers==4.35.1, but you have transformers 4.35.2 which is incompatible.\u001b[0m\u001b[31m\n",
"\u001b[0mSuccessfully installed transformers-4.35.2\n"
]
}
],
"source": [
"!pip install --upgrade transformers"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "jCsnQhmave0Z",
"outputId": "6c9f39ef-0e4a-41cb-ee22-8c71438e254e"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE\n",
" Downloading https://github.com/Dao-AILab/flash-attention/releases/download/v2.3.0/flash_attn-2.3.0+cu117torch2.0cxx11abiFALSE-cp310-cp310-linux_x86_64.whl (30.0 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m30.0/30.0 MB\u001b[0m \u001b[31m46.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: torch in /usr/local/lib/python3.10/dist-packages (from flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (2.0.1)\n",
"Requirement already satisfied: einops in /usr/local/lib/python3.10/dist-packages (from flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (0.7.0)\n",
"Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (23.2)\n",
"Requirement already satisfied: ninja in /usr/local/lib/python3.10/dist-packages (from flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (1.11.1.1)\n",
"Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (3.13.1)\n",
"Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (4.8.0)\n",
"Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (1.12)\n",
"Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (3.2.1)\n",
"Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (3.1.2)\n",
"Requirement already satisfied: nvidia-cuda-nvrtc-cu11==11.7.99 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (11.7.99)\n",
"Requirement already satisfied: nvidia-cuda-runtime-cu11==11.7.99 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (11.7.99)\n",
"Requirement already satisfied: nvidia-cuda-cupti-cu11==11.7.101 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (11.7.101)\n",
"Requirement already satisfied: nvidia-cudnn-cu11==8.5.0.96 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (8.5.0.96)\n",
"Requirement already satisfied: nvidia-cublas-cu11==11.10.3.66 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (11.10.3.66)\n",
"Requirement already satisfied: nvidia-cufft-cu11==10.9.0.58 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (10.9.0.58)\n",
"Requirement already satisfied: nvidia-curand-cu11==10.2.10.91 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (10.2.10.91)\n",
"Requirement already satisfied: nvidia-cusolver-cu11==11.4.0.1 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (11.4.0.1)\n",
"Requirement already satisfied: nvidia-cusparse-cu11==11.7.4.91 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (11.7.4.91)\n",
"Requirement already satisfied: nvidia-nccl-cu11==2.14.3 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (2.14.3)\n",
"Requirement already satisfied: nvidia-nvtx-cu11==11.7.91 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (11.7.91)\n",
"Requirement already satisfied: triton==2.0.0 in /usr/local/lib/python3.10/dist-packages (from torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (2.0.0)\n",
"Requirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from nvidia-cublas-cu11==11.10.3.66->torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (67.7.2)\n",
"Requirement already satisfied: wheel in /usr/local/lib/python3.10/dist-packages (from nvidia-cublas-cu11==11.10.3.66->torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (0.41.3)\n",
"Requirement already satisfied: cmake in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (3.27.7)\n",
"Requirement already satisfied: lit in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (17.0.5)\n",
"Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (2.1.3)\n",
"Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch->flash-attn==2.3.0+cu117torch2.0cxx11abiFALSE) (1.3.0)\n",
"Installing collected packages: flash-attn\n",
" Attempting uninstall: flash-attn\n",
" Found existing installation: flash-attn 2.3.3\n",
" Uninstalling flash-attn-2.3.3:\n",
" Successfully uninstalled flash-attn-2.3.3\n",
"Successfully installed flash-attn-2.3.0\n"
]
}
],
"source": [
"# https://github.com/oobabooga/text-generation-webui/issues/4238\n",
"!pip install https://github.com/Dao-AILab/flash-attention/releases/download/v2.3.0/flash_attn-2.3.0+cu117torch2.0cxx11abiFALSE-cp310-cp310-linux_x86_64.whl"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "3xU248nEtTxg"
},
"source": [
"Start the training process (fine-tuning)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "19jClLyTbumJ",
"outputId": "9b74bad8-956d-4434-953a-d5a5be229043"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2023-11-18 10:15:30.581758: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
"2023-11-18 10:15:30.581829: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
"2023-11-18 10:15:30.581870: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
"2023-11-18 10:15:32.302565: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
"/usr/local/lib/python3.10/dist-packages/transformers/deepspeed.py:23: FutureWarning: transformers.deepspeed module is deprecated and will be removed in a future version. Please import deepspeed modules directly from transformers.integrations\n",
" warnings.warn(\n",
" dP dP dP \n",
" 88 88 88 \n",
" .d8888b. dP. .dP .d8888b. 88 .d8888b. d8888P 88 \n",
" 88' `88 `8bd8' 88' `88 88 88' `88 88 88 \n",
" 88. .88 .d88b. 88. .88 88 88. .88 88 88 \n",
" `88888P8 dP' `dP `88888P' dP `88888P' dP dP \n",
" \n",
" \n",
"\n",
"\u001b[33m[2023-11-18 10:15:36,028] [WARNING] [axolotl.validate_config:169] [PID:4655] [RANK:0] eval_batch_size != micro_batch_size. This can lead to VRAM instability.\u001b[39m\n",
"[2023-11-18 10:15:36,239] [INFO] [axolotl.normalize_config:128] [PID:4655] [RANK:0] GPU memory usage baseline: 0.000GB (+0.255GB misc)\u001b[39m\n",
"\u001b[33m[2023-11-18 10:15:36,239] [WARNING] [axolotl.scripts.check_accelerate_default_config:343] [PID:4655] [RANK:0] accelerate config file found at /root/.cache/huggingface/accelerate/default_config.yaml. This can lead to unexpected errors\u001b[39m\n",
"\u001b[33m[2023-11-18 10:15:36,239] [WARNING] [axolotl.scripts.check_user_token:355] [PID:4655] [RANK:0] Error verifying HuggingFace token. Remember to log in using `huggingface-cli login` and get your access token from https://huggingface.co/settings/tokens if you want to use gated models or datasets.\u001b[39m\n",
"[2023-11-18 10:15:36,594] [DEBUG] [axolotl.load_tokenizer:100] [PID:4655] [RANK:0] EOS: 2 / </s>\u001b[39m\n",
"[2023-11-18 10:15:36,595] [DEBUG] [axolotl.load_tokenizer:101] [PID:4655] [RANK:0] BOS: 1 / <s>\u001b[39m\n",
"[2023-11-18 10:15:36,595] [DEBUG] [axolotl.load_tokenizer:102] [PID:4655] [RANK:0] PAD: 0 / <unk>\u001b[39m\n",
"[2023-11-18 10:15:36,595] [DEBUG] [axolotl.load_tokenizer:103] [PID:4655] [RANK:0] UNK: 0 / <unk>\u001b[39m\n",
"[2023-11-18 10:15:36,595] [INFO] [axolotl.load_tokenized_prepared_datasets:147] [PID:4655] [RANK:0] Unable to find prepared dataset in last_run_prepared/5dca4483042d16053f3cd9eeaf5ac8af\u001b[39m\n",
"[2023-11-18 10:15:36,595] [INFO] [axolotl.load_tokenized_prepared_datasets:148] [PID:4655] [RANK:0] Loading raw datasets...\u001b[39m\n",
"[2023-11-18 10:15:36,595] [INFO] [axolotl.load_tokenized_prepared_datasets:153] [PID:4655] [RANK:0] No seed provided, using default seed of 42\u001b[39m\n",
"Map (num_proc=2): 100% 846/846 [00:00<00:00, 991.41 examples/s] \n",
"[2023-11-18 10:15:37,890] [INFO] [axolotl.load_tokenized_prepared_datasets:355] [PID:4655] [RANK:0] merging datasets\u001b[39m\n",
"[2023-11-18 10:15:37,892] [INFO] [axolotl.load_tokenized_prepared_datasets:362] [PID:4655] [RANK:0] Saving merged prepared dataset to disk... last_run_prepared/5dca4483042d16053f3cd9eeaf5ac8af\u001b[39m\n",
"Saving the dataset (1/1 shards): 100% 846/846 [00:00<00:00, 118881.71 examples/s]\n",
"Filter (num_proc=2): 100% 803/803 [00:00<00:00, 3171.26 examples/s]\n",
"Filter (num_proc=2): 100% 43/43 [00:00<00:00, 301.68 examples/s]\n",
"Map (num_proc=2): 100% 803/803 [00:00<00:00, 2783.35 examples/s]\n",
"[2023-11-18 10:15:38,745] [DEBUG] [axolotl.log:60] [PID:4655] [RANK:0] total_num_tokens: 77893\u001b[39m\n",
"[2023-11-18 10:15:38,753] [DEBUG] [axolotl.log:60] [PID:4655] [RANK:0] `total_supervised_tokens: 77893`\u001b[39m\n",
"[2023-11-18 10:15:44,265] [INFO] [axolotl.utils.samplers.multipack._len_est:178] [PID:4655] [RANK:0] packing_efficiency_estimate: 1.0 total_num_tokens per device: 77893\u001b[39m\n",
"[2023-11-18 10:15:44,265] [DEBUG] [axolotl.log:60] [PID:4655] [RANK:0] data_loader_len: 8\u001b[39m\n",
"[2023-11-18 10:15:44,265] [INFO] [axolotl.log:60] [PID:4655] [RANK:0] sample_packing_eff_est across ranks: [0.95084228515625]\u001b[39m\n",
"[2023-11-18 10:15:44,265] [DEBUG] [axolotl.log:60] [PID:4655] [RANK:0] sample_packing_eff_est: 0.96\u001b[39m\n",
"[2023-11-18 10:15:44,266] [DEBUG] [axolotl.log:60] [PID:4655] [RANK:0] total_num_steps: 32\u001b[39m\n",
"[2023-11-18 10:15:44,266] [DEBUG] [axolotl.train.log:60] [PID:4655] [RANK:0] loading tokenizer... NousResearch/Llama-2-7b-hf\u001b[39m\n",
"[2023-11-18 10:15:44,629] [DEBUG] [axolotl.load_tokenizer:100] [PID:4655] [RANK:0] EOS: 2 / </s>\u001b[39m\n",
"[2023-11-18 10:15:44,629] [DEBUG] [axolotl.load_tokenizer:101] [PID:4655] [RANK:0] BOS: 1 / <s>\u001b[39m\n",
"[2023-11-18 10:15:44,629] [DEBUG] [axolotl.load_tokenizer:102] [PID:4655] [RANK:0] PAD: 0 / <unk>\u001b[39m\n",
"[2023-11-18 10:15:44,629] [DEBUG] [axolotl.load_tokenizer:103] [PID:4655] [RANK:0] UNK: 0 / <unk>\u001b[39m\n",
"[2023-11-18 10:15:44,630] [DEBUG] [axolotl.train.log:60] [PID:4655] [RANK:0] loading model and peft_config...\u001b[39m\n",
"[2023-11-18 10:15:44,713] [INFO] [axolotl.load_model:201] [PID:4655] [RANK:0] patching _expand_mask\u001b[39m\n",
"Downloading (…)fetensors.index.json: 100% 26.8k/26.8k [00:00<00:00, 34.9MB/s]\n",
"Downloading shards: 0% 0/2 [00:00<?, ?it/s]\n",
"Downloading (…)of-00002.safetensors: 0% 0.00/9.98G [00:00<?, ?B/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 0% 21.0M/9.98G [00:00<01:10, 142MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 1% 52.4M/9.98G [00:00<00:46, 212MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 1% 83.9M/9.98G [00:00<00:43, 229MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 1% 115M/9.98G [00:00<00:40, 246MB/s] \u001b[A\n",
"Downloading (…)of-00002.safetensors: 1% 147M/9.98G [00:00<00:47, 206MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 2% 178M/9.98G [00:00<00:47, 205MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 2% 210M/9.98G [00:01<00:47, 205MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 2% 241M/9.98G [00:01<00:45, 214MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 3% 273M/9.98G [00:01<01:02, 155MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 3% 304M/9.98G [00:01<00:55, 174MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 3% 336M/9.98G [00:01<00:49, 194MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 4% 367M/9.98G [00:01<00:46, 208MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 4% 398M/9.98G [00:02<00:48, 196MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 4% 430M/9.98G [00:02<00:58, 162MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 5% 451M/9.98G [00:02<01:00, 158MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 5% 482M/9.98G [00:02<00:54, 176MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 5% 503M/9.98G [00:03<02:50, 55.5MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 5% 535M/9.98G [00:03<02:08, 73.8MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 6% 556M/9.98G [00:04<01:48, 86.8MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 6% 587M/9.98G [00:04<01:23, 112MB/s] \u001b[A\n",
"Downloading (…)of-00002.safetensors: 6% 619M/9.98G [00:04<01:08, 137MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 7% 650M/9.98G [00:04<00:58, 161MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 7% 682M/9.98G [00:04<01:08, 137MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 7% 703M/9.98G [00:04<01:03, 145MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 7% 724M/9.98G [00:04<00:58, 157MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 7% 744M/9.98G [00:05<00:55, 166MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 8% 776M/9.98G [00:05<00:48, 191MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 8% 807M/9.98G [00:05<01:22, 111MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 8% 839M/9.98G [00:05<01:06, 138MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 9% 870M/9.98G [00:05<00:56, 163MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 9% 902M/9.98G [00:06<00:50, 178MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 9% 933M/9.98G [00:06<00:47, 189MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 10% 965M/9.98G [00:06<00:46, 194MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 10% 996M/9.98G [00:06<00:44, 202MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 10% 1.03G/9.98G [00:06<00:42, 209MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 11% 1.06G/9.98G [00:06<00:41, 216MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 11% 1.09G/9.98G [00:06<00:41, 217MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 11% 1.12G/9.98G [00:07<00:40, 221MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 12% 1.15G/9.98G [00:07<00:38, 231MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 12% 1.18G/9.98G [00:07<00:39, 223MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 12% 1.22G/9.98G [00:07<00:38, 226MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 13% 1.25G/9.98G [00:07<00:38, 227MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 13% 1.28G/9.98G [00:07<00:36, 239MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 13% 1.31G/9.98G [00:07<00:35, 247MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 13% 1.34G/9.98G [00:07<00:36, 237MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 14% 1.37G/9.98G [00:08<00:37, 229MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 14% 1.41G/9.98G [00:08<00:36, 233MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 14% 1.44G/9.98G [00:08<00:36, 236MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 15% 1.47G/9.98G [00:08<00:34, 246MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 15% 1.50G/9.98G [00:08<00:33, 252MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 15% 1.53G/9.98G [00:08<00:33, 250MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 16% 1.56G/9.98G [00:08<00:37, 226MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 16% 1.59G/9.98G [00:09<00:35, 238MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 16% 1.63G/9.98G [00:09<00:34, 240MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 17% 1.66G/9.98G [00:09<00:40, 204MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 17% 1.69G/9.98G [00:09<00:38, 214MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 17% 1.72G/9.98G [00:09<00:37, 221MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 18% 1.75G/9.98G [00:09<00:36, 228MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 18% 1.78G/9.98G [00:09<00:37, 218MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 18% 1.81G/9.98G [00:10<00:35, 230MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 18% 1.85G/9.98G [00:10<00:34, 236MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 19% 1.88G/9.98G [00:10<00:37, 219MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 19% 1.91G/9.98G [00:10<00:35, 225MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 19% 1.94G/9.98G [00:10<00:33, 240MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 20% 1.97G/9.98G [00:10<00:33, 238MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 20% 2.00G/9.98G [00:10<00:32, 245MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 20% 2.03G/9.98G [00:10<00:32, 243MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 21% 2.07G/9.98G [00:11<00:34, 226MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 21% 2.10G/9.98G [00:11<00:34, 232MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 21% 2.13G/9.98G [00:11<00:35, 224MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 22% 2.16G/9.98G [00:11<00:35, 221MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 22% 2.19G/9.98G [00:11<00:36, 214MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 22% 2.22G/9.98G [00:11<00:36, 212MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 23% 2.25G/9.98G [00:11<00:35, 218MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 23% 2.29G/9.98G [00:12<00:34, 224MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 23% 2.32G/9.98G [00:12<00:32, 236MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 24% 2.35G/9.98G [00:12<00:32, 237MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 24% 2.38G/9.98G [00:12<00:32, 233MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 24% 2.41G/9.98G [00:12<00:31, 242MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 24% 2.44G/9.98G [00:12<00:30, 248MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 25% 2.47G/9.98G [00:12<00:32, 233MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 25% 2.51G/9.98G [00:13<00:31, 238MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 25% 2.54G/9.98G [00:13<00:29, 249MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 26% 2.57G/9.98G [00:13<00:36, 205MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 26% 2.60G/9.98G [00:13<00:37, 197MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 26% 2.63G/9.98G [00:13<00:35, 206MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 27% 2.66G/9.98G [00:15<02:34, 47.3MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 27% 2.69G/9.98G [00:15<01:55, 63.2MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 27% 2.73G/9.98G [00:15<01:28, 81.6MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 28% 2.76G/9.98G [00:15<01:11, 101MB/s] \u001b[A\n",
"Downloading (…)of-00002.safetensors: 28% 2.79G/9.98G [00:16<00:58, 124MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 28% 2.82G/9.98G [00:16<00:49, 146MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 29% 2.85G/9.98G [00:16<00:45, 158MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 29% 2.88G/9.98G [00:16<00:39, 180MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 29% 2.92G/9.98G [00:16<00:35, 196MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 30% 2.95G/9.98G [00:16<00:34, 205MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 30% 2.98G/9.98G [00:16<00:32, 218MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 30% 3.01G/9.98G [00:16<00:30, 229MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 30% 3.04G/9.98G [00:17<00:29, 232MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 31% 3.07G/9.98G [00:17<00:29, 232MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 31% 3.10G/9.98G [00:17<00:29, 235MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 31% 3.14G/9.98G [00:17<00:28, 238MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 32% 3.17G/9.98G [00:17<00:28, 237MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 32% 3.20G/9.98G [00:17<00:28, 237MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 32% 3.23G/9.98G [00:17<00:28, 238MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 33% 3.26G/9.98G [00:17<00:28, 236MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 33% 3.29G/9.98G [00:18<00:27, 239MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 33% 3.32G/9.98G [00:18<00:26, 247MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 34% 3.36G/9.98G [00:18<00:26, 250MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 34% 3.39G/9.98G [00:18<00:26, 253MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 34% 3.42G/9.98G [00:18<00:25, 259MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 35% 3.45G/9.98G [00:18<00:25, 252MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 35% 3.48G/9.98G [00:18<00:26, 248MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 35% 3.51G/9.98G [00:18<00:25, 253MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 36% 3.54G/9.98G [00:19<00:25, 254MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 36% 3.58G/9.98G [00:19<00:25, 254MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 36% 3.61G/9.98G [00:19<00:24, 259MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 36% 3.64G/9.98G [00:19<00:24, 256MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 37% 3.67G/9.98G [00:19<00:24, 260MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 37% 3.70G/9.98G [00:19<00:25, 245MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 37% 3.73G/9.98G [00:19<00:25, 248MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 38% 3.76G/9.98G [00:19<00:24, 252MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 38% 3.80G/9.98G [00:20<00:25, 246MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 38% 3.83G/9.98G [00:20<00:25, 244MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 39% 3.86G/9.98G [00:20<00:24, 246MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 39% 3.89G/9.98G [00:20<00:23, 260MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 39% 3.92G/9.98G [00:20<00:22, 272MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 40% 3.95G/9.98G [00:20<00:21, 276MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 40% 3.98G/9.98G [00:20<00:21, 281MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 40% 4.02G/9.98G [00:20<00:22, 269MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 41% 4.05G/9.98G [00:21<00:23, 247MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 41% 4.08G/9.98G [00:21<00:25, 228MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 41% 4.11G/9.98G [00:21<00:26, 224MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 42% 4.14G/9.98G [00:21<00:24, 236MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 42% 4.17G/9.98G [00:21<00:23, 245MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 42% 4.20G/9.98G [00:21<00:22, 253MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 42% 4.24G/9.98G [00:21<00:22, 254MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 43% 4.27G/9.98G [00:21<00:22, 257MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 43% 4.30G/9.98G [00:22<00:22, 257MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 43% 4.33G/9.98G [00:22<00:22, 256MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 44% 4.36G/9.98G [00:22<00:21, 256MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 44% 4.39G/9.98G [00:22<00:21, 256MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 44% 4.42G/9.98G [00:22<00:21, 258MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 45% 4.46G/9.98G [00:22<00:21, 253MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 45% 4.49G/9.98G [00:22<00:21, 252MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 45% 4.52G/9.98G [00:22<00:21, 253MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 46% 4.55G/9.98G [00:23<00:21, 251MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 46% 4.58G/9.98G [00:23<00:21, 252MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 46% 4.61G/9.98G [00:23<00:21, 255MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 47% 4.65G/9.98G [00:23<00:20, 254MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 47% 4.68G/9.98G [00:23<00:20, 257MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 47% 4.71G/9.98G [00:23<00:20, 257MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 48% 4.74G/9.98G [00:23<00:20, 254MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 48% 4.77G/9.98G [00:23<00:20, 251MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 48% 4.80G/9.98G [00:24<00:20, 250MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 48% 4.83G/9.98G [00:24<00:20, 248MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 49% 4.87G/9.98G [00:24<00:20, 251MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 49% 4.90G/9.98G [00:24<00:20, 244MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 49% 4.93G/9.98G [00:24<00:21, 231MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 50% 4.96G/9.98G [00:24<00:22, 225MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 50% 4.99G/9.98G [00:24<00:21, 230MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 50% 5.02G/9.98G [00:25<00:21, 234MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 51% 5.05G/9.98G [00:25<00:21, 230MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 51% 5.09G/9.98G [00:25<00:21, 224MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 51% 5.12G/9.98G [00:25<00:21, 228MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 52% 5.15G/9.98G [00:25<00:20, 241MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 52% 5.18G/9.98G [00:25<00:19, 243MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 52% 5.21G/9.98G [00:25<00:19, 248MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 53% 5.24G/9.98G [00:25<00:21, 221MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 53% 5.27G/9.98G [00:26<00:21, 218MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 53% 5.31G/9.98G [00:26<00:21, 213MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 53% 5.34G/9.98G [00:26<00:21, 217MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 54% 5.37G/9.98G [00:26<00:20, 220MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 54% 5.40G/9.98G [00:26<00:20, 224MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 54% 5.43G/9.98G [00:26<00:19, 234MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 55% 5.46G/9.98G [00:26<00:19, 235MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 55% 5.49G/9.98G [00:27<00:19, 224MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 55% 5.53G/9.98G [00:27<00:19, 226MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 56% 5.56G/9.98G [00:27<00:18, 238MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 56% 5.59G/9.98G [00:27<00:18, 235MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 56% 5.62G/9.98G [00:27<00:18, 234MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 57% 5.65G/9.98G [00:27<00:17, 241MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 57% 5.68G/9.98G [00:27<00:17, 242MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 57% 5.71G/9.98G [00:28<00:19, 222MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 58% 5.75G/9.98G [00:28<00:19, 217MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 58% 5.78G/9.98G [00:28<00:19, 214MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 58% 5.81G/9.98G [00:28<00:19, 218MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 59% 5.84G/9.98G [00:28<00:18, 222MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 59% 5.87G/9.98G [00:28<00:18, 221MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 59% 5.90G/9.98G [00:28<00:18, 221MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 59% 5.93G/9.98G [00:29<00:18, 215MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 60% 5.97G/9.98G [00:29<00:18, 215MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 60% 6.00G/9.98G [00:29<00:18, 217MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 60% 6.03G/9.98G [00:29<00:18, 218MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 61% 6.06G/9.98G [00:29<00:17, 222MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 61% 6.09G/9.98G [00:29<00:17, 220MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 61% 6.12G/9.98G [00:29<00:17, 217MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 62% 6.16G/9.98G [00:30<00:17, 222MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 62% 6.19G/9.98G [00:30<00:16, 223MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 62% 6.22G/9.98G [00:30<00:17, 217MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 63% 6.25G/9.98G [00:30<00:16, 230MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 63% 6.28G/9.98G [00:30<00:15, 240MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 63% 6.31G/9.98G [00:30<00:15, 235MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 64% 6.34G/9.98G [00:30<00:15, 236MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 64% 6.38G/9.98G [00:31<00:15, 230MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 64% 6.41G/9.98G [00:31<00:16, 218MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 65% 6.44G/9.98G [00:31<00:23, 151MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 65% 6.47G/9.98G [00:31<00:20, 172MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 65% 6.50G/9.98G [00:31<00:18, 193MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 65% 6.53G/9.98G [00:31<00:16, 211MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 66% 6.56G/9.98G [00:32<00:16, 213MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 66% 6.60G/9.98G [00:32<00:16, 203MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 66% 6.63G/9.98G [00:32<00:15, 212MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 67% 6.66G/9.98G [00:32<00:16, 205MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 67% 6.69G/9.98G [00:33<00:53, 61.7MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 67% 6.71G/9.98G [00:33<00:45, 72.4MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 67% 6.73G/9.98G [00:34<00:38, 83.9MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 68% 6.75G/9.98G [00:34<00:33, 97.4MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 68% 6.77G/9.98G [00:34<00:28, 112MB/s] \u001b[A\n",
"Downloading (…)of-00002.safetensors: 68% 6.79G/9.98G [00:34<00:25, 126MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 68% 6.82G/9.98G [00:34<00:22, 140MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 69% 6.84G/9.98G [00:34<00:20, 153MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 69% 6.86G/9.98G [00:34<00:19, 163MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 69% 6.88G/9.98G [00:34<00:18, 164MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 69% 6.90G/9.98G [00:34<00:18, 169MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 69% 6.93G/9.98G [00:35<00:15, 201MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 70% 6.96G/9.98G [00:35<00:14, 204MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 70% 6.99G/9.98G [00:35<00:26, 111MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 70% 7.01G/9.98G [00:35<00:23, 124MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 71% 7.04G/9.98G [00:36<00:21, 136MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 71% 7.06G/9.98G [00:36<00:19, 148MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 71% 7.08G/9.98G [00:36<00:18, 161MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 71% 7.10G/9.98G [00:36<00:17, 164MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 71% 7.12G/9.98G [00:36<00:16, 170MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 72% 7.15G/9.98G [00:36<00:15, 187MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 72% 7.18G/9.98G [00:36<00:14, 198MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 72% 7.21G/9.98G [00:36<00:13, 209MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 73% 7.25G/9.98G [00:37<00:12, 210MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 73% 7.28G/9.98G [00:37<00:12, 217MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 73% 7.31G/9.98G [00:37<00:11, 229MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 74% 7.34G/9.98G [00:37<00:11, 225MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 74% 7.37G/9.98G [00:37<00:10, 239MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 74% 7.40G/9.98G [00:37<00:11, 233MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 75% 7.43G/9.98G [00:37<00:11, 229MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 75% 7.47G/9.98G [00:37<00:10, 243MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 75% 7.50G/9.98G [00:38<00:11, 219MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 75% 7.53G/9.98G [00:38<00:11, 208MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 76% 7.56G/9.98G [00:38<00:11, 217MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 76% 7.59G/9.98G [00:40<00:52, 45.4MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 76% 7.62G/9.98G [00:40<00:38, 60.8MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 77% 7.65G/9.98G [00:40<00:29, 78.4MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 77% 7.69G/9.98G [00:40<00:24, 93.7MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 77% 7.71G/9.98G [00:40<00:21, 104MB/s] \u001b[A\n",
"Downloading (…)of-00002.safetensors: 77% 7.73G/9.98G [00:41<00:19, 116MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 78% 7.75G/9.98G [00:41<00:17, 128MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 78% 7.77G/9.98G [00:41<00:15, 140MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 78% 7.79G/9.98G [00:41<00:14, 150MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 78% 7.82G/9.98G [00:41<00:12, 175MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 79% 7.84G/9.98G [00:45<01:53, 18.8MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 79% 7.86G/9.98G [00:45<01:28, 24.0MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 79% 7.89G/9.98G [00:45<01:06, 31.3MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 79% 7.92G/9.98G [00:45<00:43, 46.9MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 80% 7.95G/9.98G [00:46<00:30, 65.6MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 80% 7.98G/9.98G [00:46<00:23, 86.8MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 80% 8.01G/9.98G [00:46<00:19, 98.5MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 81% 8.04G/9.98G [00:46<00:15, 122MB/s] \u001b[A\n",
"Downloading (…)of-00002.safetensors: 81% 8.07G/9.98G [00:46<00:13, 144MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 81% 8.11G/9.98G [00:46<00:11, 167MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 82% 8.14G/9.98G [00:46<00:09, 190MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 82% 8.17G/9.98G [00:47<00:08, 205MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 82% 8.20G/9.98G [00:47<00:08, 212MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 83% 8.23G/9.98G [00:47<00:07, 225MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 83% 8.26G/9.98G [00:47<00:10, 162MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 83% 8.29G/9.98G [00:47<00:09, 186MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 83% 8.33G/9.98G [00:47<00:08, 197MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 84% 8.36G/9.98G [00:47<00:07, 210MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 84% 8.39G/9.98G [00:48<00:07, 224MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 84% 8.42G/9.98G [00:48<00:07, 205MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 85% 8.45G/9.98G [00:50<00:38, 39.3MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 85% 8.47G/9.98G [00:50<00:32, 46.4MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 85% 8.50G/9.98G [00:50<00:23, 62.5MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 86% 8.54G/9.98G [00:50<00:17, 82.1MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 86% 8.57G/9.98G [00:51<00:13, 104MB/s] \u001b[A\n",
"Downloading (…)of-00002.safetensors: 86% 8.60G/9.98G [00:51<00:12, 111MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 86% 8.62G/9.98G [00:51<00:11, 121MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 87% 8.65G/9.98G [00:51<00:09, 145MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 87% 8.68G/9.98G [00:51<00:08, 162MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 87% 8.71G/9.98G [00:51<00:07, 176MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 88% 8.75G/9.98G [00:52<00:06, 193MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 88% 8.78G/9.98G [00:52<00:05, 204MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 88% 8.81G/9.98G [00:52<00:05, 220MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 89% 8.84G/9.98G [00:52<00:05, 223MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 89% 8.87G/9.98G [00:52<00:04, 233MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 89% 8.90G/9.98G [00:52<00:04, 217MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 90% 8.93G/9.98G [00:52<00:04, 214MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 90% 8.97G/9.98G [00:53<00:04, 212MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 90% 9.00G/9.98G [00:55<00:25, 38.5MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 90% 9.02G/9.98G [00:55<00:20, 46.8MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 91% 9.04G/9.98G [00:55<00:17, 53.2MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 91% 9.07G/9.98G [00:55<00:12, 72.5MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 91% 9.10G/9.98G [00:55<00:09, 94.2MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 92% 9.13G/9.98G [00:56<00:07, 117MB/s] \u001b[A\n",
"Downloading (…)of-00002.safetensors: 92% 9.16G/9.98G [00:56<00:06, 130MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 92% 9.19G/9.98G [00:56<00:05, 138MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 92% 9.22G/9.98G [00:56<00:04, 158MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 93% 9.25G/9.98G [00:56<00:04, 172MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 93% 9.28G/9.98G [00:56<00:03, 192MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 93% 9.31G/9.98G [00:56<00:03, 201MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 94% 9.34G/9.98G [00:57<00:03, 206MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 94% 9.37G/9.98G [00:57<00:02, 224MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 94% 9.41G/9.98G [00:57<00:02, 207MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 95% 9.44G/9.98G [00:57<00:02, 211MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 95% 9.47G/9.98G [00:57<00:02, 213MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 95% 9.50G/9.98G [01:00<00:13, 34.2MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 96% 9.53G/9.98G [01:00<00:09, 45.5MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 96% 9.55G/9.98G [01:00<00:08, 51.3MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 96% 9.58G/9.98G [01:00<00:05, 68.6MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 96% 9.62G/9.98G [01:01<00:04, 89.4MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 97% 9.65G/9.98G [01:01<00:02, 112MB/s] \u001b[A\n",
"Downloading (…)of-00002.safetensors: 97% 9.68G/9.98G [01:01<00:02, 122MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 97% 9.71G/9.98G [01:01<00:01, 146MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 98% 9.74G/9.98G [01:01<00:01, 174MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 98% 9.77G/9.98G [01:01<00:01, 168MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 98% 9.80G/9.98G [01:01<00:00, 189MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 99% 9.84G/9.98G [01:02<00:00, 205MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 99% 9.87G/9.98G [01:02<00:00, 134MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 99% 9.90G/9.98G [01:02<00:00, 157MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 100% 9.93G/9.98G [01:03<00:00, 60.1MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 100% 9.95G/9.98G [01:03<00:00, 69.4MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 100% 9.98G/9.98G [01:04<00:00, 155MB/s] \n",
"Downloading shards: 50% 1/2 [01:04<01:04, 64.43s/it]\n",
"Downloading (…)of-00002.safetensors: 0% 0.00/3.50G [00:00<?, ?B/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 1% 21.0M/3.50G [00:00<00:18, 185MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 1% 41.9M/3.50G [00:00<00:17, 195MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 2% 73.4M/3.50G [00:00<00:16, 203MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 3% 105M/3.50G [00:00<00:15, 218MB/s] \u001b[A\n",
"Downloading (…)of-00002.safetensors: 4% 136M/3.50G [00:00<00:14, 226MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 5% 168M/3.50G [00:00<00:13, 242MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 6% 199M/3.50G [00:00<00:12, 259MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 7% 231M/3.50G [00:01<00:25, 129MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 7% 262M/3.50G [00:01<00:20, 155MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 8% 294M/3.50G [00:01<00:18, 178MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 9% 325M/3.50G [00:01<00:16, 194MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 10% 357M/3.50G [00:01<00:15, 205MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 11% 388M/3.50G [00:01<00:14, 218MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 12% 419M/3.50G [00:02<00:13, 229MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 13% 451M/3.50G [00:02<00:12, 236MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 14% 482M/3.50G [00:02<00:12, 242MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 15% 514M/3.50G [00:02<00:12, 243MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 16% 545M/3.50G [00:02<00:12, 244MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 16% 577M/3.50G [00:02<00:11, 248MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 17% 608M/3.50G [00:02<00:11, 251MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 18% 640M/3.50G [00:02<00:11, 243MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 19% 671M/3.50G [00:03<00:11, 243MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 20% 703M/3.50G [00:03<00:11, 239MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 21% 734M/3.50G [00:03<00:11, 242MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 22% 765M/3.50G [00:03<00:10, 250MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 23% 797M/3.50G [00:03<00:10, 252MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 24% 828M/3.50G [00:03<00:10, 258MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 25% 860M/3.50G [00:03<00:10, 255MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 25% 891M/3.50G [00:03<00:10, 248MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 26% 923M/3.50G [00:04<00:10, 251MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 27% 954M/3.50G [00:04<00:10, 251MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 28% 986M/3.50G [00:04<00:10, 248MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 29% 1.02G/3.50G [00:04<00:10, 241MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 30% 1.05G/3.50G [00:04<00:10, 240MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 31% 1.08G/3.50G [00:04<00:10, 239MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 32% 1.11G/3.50G [00:04<00:10, 237MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 33% 1.14G/3.50G [00:05<00:10, 229MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 34% 1.17G/3.50G [00:05<00:10, 226MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 34% 1.21G/3.50G [00:05<00:09, 231MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 35% 1.24G/3.50G [00:05<00:09, 235MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 36% 1.27G/3.50G [00:05<00:09, 228MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 37% 1.30G/3.50G [00:05<00:09, 228MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 38% 1.33G/3.50G [00:05<00:09, 233MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 39% 1.36G/3.50G [00:05<00:09, 235MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 40% 1.39G/3.50G [00:06<00:09, 229MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 41% 1.43G/3.50G [00:06<00:08, 239MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 42% 1.46G/3.50G [00:06<00:08, 234MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 43% 1.49G/3.50G [00:06<00:09, 217MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 43% 1.52G/3.50G [00:06<00:09, 207MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 44% 1.55G/3.50G [00:06<00:09, 208MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 45% 1.58G/3.50G [00:07<00:09, 202MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 46% 1.60G/3.50G [00:07<00:09, 199MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 47% 1.64G/3.50G [00:07<00:08, 211MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 48% 1.67G/3.50G [00:07<00:08, 212MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 49% 1.70G/3.50G [00:07<00:08, 216MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 49% 1.73G/3.50G [00:07<00:08, 220MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 50% 1.76G/3.50G [00:07<00:07, 218MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 51% 1.79G/3.50G [00:11<01:02, 27.1MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 52% 1.82G/3.50G [00:11<00:45, 36.9MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 53% 1.86G/3.50G [00:11<00:33, 49.5MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 54% 1.89G/3.50G [00:11<00:24, 65.1MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 55% 1.91G/3.50G [00:11<00:20, 76.0MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 55% 1.93G/3.50G [00:12<00:18, 85.5MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 56% 1.95G/3.50G [00:12<00:16, 95.8MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 56% 1.97G/3.50G [00:12<00:13, 112MB/s] \u001b[A\n",
"Downloading (…)of-00002.safetensors: 57% 1.99G/3.50G [00:12<00:11, 126MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 58% 2.02G/3.50G [00:12<00:09, 152MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 59% 2.06G/3.50G [00:12<00:08, 168MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 60% 2.09G/3.50G [00:12<00:07, 185MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 61% 2.12G/3.50G [00:12<00:06, 202MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 61% 2.15G/3.50G [00:13<00:06, 215MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 62% 2.18G/3.50G [00:13<00:05, 225MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 63% 2.21G/3.50G [00:13<00:05, 237MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 64% 2.24G/3.50G [00:13<00:05, 246MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 65% 2.28G/3.50G [00:13<00:04, 249MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 66% 2.31G/3.50G [00:13<00:05, 212MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 67% 2.34G/3.50G [00:14<00:07, 146MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 67% 2.36G/3.50G [00:16<00:30, 37.5MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 68% 2.38G/3.50G [00:16<00:24, 46.3MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 69% 2.40G/3.50G [00:16<00:20, 53.4MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 69% 2.43G/3.50G [00:16<00:14, 74.3MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 70% 2.46G/3.50G [00:16<00:10, 95.7MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 71% 2.50G/3.50G [00:16<00:08, 116MB/s] \u001b[A\n",
"Downloading (…)of-00002.safetensors: 72% 2.52G/3.50G [00:17<00:08, 122MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 72% 2.54G/3.50G [00:17<00:07, 134MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 73% 2.56G/3.50G [00:17<00:06, 145MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 74% 2.58G/3.50G [00:17<00:05, 157MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 74% 2.60G/3.50G [00:17<00:05, 169MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 75% 2.63G/3.50G [00:17<00:04, 185MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 76% 2.66G/3.50G [00:17<00:04, 201MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 77% 2.69G/3.50G [00:17<00:03, 220MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 78% 2.73G/3.50G [00:17<00:03, 215MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 79% 2.76G/3.50G [00:18<00:03, 213MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 80% 2.79G/3.50G [00:18<00:03, 220MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 81% 2.82G/3.50G [00:21<00:20, 32.7MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 81% 2.85G/3.50G [00:21<00:14, 44.0MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 82% 2.88G/3.50G [00:21<00:10, 58.4MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 83% 2.92G/3.50G [00:21<00:07, 76.0MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 84% 2.95G/3.50G [00:21<00:06, 87.1MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 85% 2.97G/3.50G [00:21<00:05, 99.8MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 86% 3.00G/3.50G [00:21<00:04, 124MB/s] \u001b[A\n",
"Downloading (…)of-00002.safetensors: 86% 3.02G/3.50G [00:22<00:03, 136MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 87% 3.04G/3.50G [00:22<00:03, 141MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 87% 3.06G/3.50G [00:22<00:03, 145MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 88% 3.08G/3.50G [00:22<00:03, 109MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 89% 3.11G/3.50G [00:22<00:02, 136MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 90% 3.15G/3.50G [00:22<00:02, 160MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 91% 3.18G/3.50G [00:23<00:01, 183MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 92% 3.21G/3.50G [00:23<00:01, 191MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 93% 3.24G/3.50G [00:23<00:01, 189MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 93% 3.27G/3.50G [00:23<00:01, 194MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 94% 3.30G/3.50G [00:23<00:00, 205MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 95% 3.33G/3.50G [00:23<00:00, 212MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 96% 3.37G/3.50G [00:23<00:00, 210MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 97% 3.40G/3.50G [00:24<00:00, 210MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 98% 3.43G/3.50G [00:24<00:00, 214MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 99% 3.46G/3.50G [00:24<00:00, 213MB/s]\u001b[A\n",
"Downloading (…)of-00002.safetensors: 100% 3.50G/3.50G [00:24<00:00, 142MB/s]\n",
"Downloading shards: 100% 2/2 [01:29<00:00, 44.56s/it]\n",
"Loading checkpoint shards: 50% 1/2 [01:07<01:07, 67.16s/it]"
]
}
],
"source": [
"!accelerate launch -m axolotl.cli.train model.yml --load_in_8bit=False"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "Ff33I_IOy3A1"
},
"outputs": [],
"source": [
"!python3 -m axolotl.cli.merge_lora model.yml --lora_model_dir=\"./qlora-out\" --load_in_8bit=False --load_in_4bit=False"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "SVvJ01EhzRys"
},
"outputs": [],
"source": [
"\n",
"!git clone https://github.com/ggerganov/llama.cpp.git\n",
"!cd llama.cpp && make GGML_CUDA=1\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "Bl7P2PPA0gsD"
},
"outputs": [],
"source": [
"\n",
"# We need to convert the pytorch model into ggml for quantization\n",
"# It crates 'ggml-model-f16.bin' in the 'merged' directory.\n",
"!cd llama.cpp && python convert.py --outtype f16 \\\n",
" /content/qlora-out/merged/pytorch_model-00001-of-00002.bin\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "6OZq8KGP0kUg"
},
"outputs": [],
"source": [
"\n",
"# Start off by making a basic q4_0 4-bit quantization.\n",
"# It's important to have 'ggml' in the name of the quant for some\n",
"# software to recognize it's file format.\n",
"!cd llama.cpp && ./quantize /content/qlora-out/merged/ggml-model-f16.gguf \\\n",
" /content/custom-model-q4_0.bin q4_0"
]
}
],
"metadata": {
"accelerator": "GPU",
"colab": {
"gpuType": "T4",
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
|