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- "_model_module": "@jupyter-widgets/controls",
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- "_model_name": "LabelModel",
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- "_view_count": null,
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- "_view_module": "@jupyter-widgets/controls",
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- "_view_module_version": "1.5.0",
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- "_view_name": "LabelView",
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- "description_tooltip": null,
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- "layout": "IPY_MODEL_a211b717031d4a88a31a1fc20f2a484e",
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- "placeholder": "​",
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- "style": "IPY_MODEL_0efbb27c57f646bcad6f2d75fe478ce9",
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- "value": "Connecting..."
551
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- "model_module": "@jupyter-widgets/base",
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- "state": {
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- "_model_module": "@jupyter-widgets/base",
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- }
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- },
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- "0efbb27c57f646bcad6f2d75fe478ce9": {
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- "model_module": "@jupyter-widgets/controls",
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- "model_name": "DescriptionStyleModel",
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- "model_module_version": "1.5.0",
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- "state": {
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- "_model_module": "@jupyter-widgets/controls",
611
- "_model_module_version": "1.5.0",
612
- "_model_name": "DescriptionStyleModel",
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- "_view_count": null,
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- "_view_module": "@jupyter-widgets/base",
615
- "_view_module_version": "1.2.0",
616
- "_view_name": "StyleView",
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- "description_width": ""
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- }
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- }
620
- }
621
- }
622
- },
623
- "cells": [
624
- {
625
- "cell_type": "markdown",
626
- "source": [
627
- "**Step 1: Setting Up ExecuTorch**"
628
- ],
629
- "metadata": {
630
- "id": "ZOq6nHdVElC6"
631
- }
632
- },
633
- {
634
- "cell_type": "code",
635
- "execution_count": 1,
636
- "metadata": {
637
- "colab": {
638
- "base_uri": "https://localhost:8080/"
639
- },
640
- "collapsed": true,
641
- "id": "EWz6sJfRDQKT",
642
- "outputId": "0a91e8cc-5e82-4fae-a706-3544b2d9a275"
643
- },
644
- "outputs": [
645
- {
646
- "output_type": "stream",
647
- "name": "stdout",
648
- "text": [
649
- "Requirement already satisfied: executorch in /usr/local/lib/python3.11/dist-packages (0.6.0+cpu)\n",
650
- "Requirement already satisfied: expecttest in /usr/local/lib/python3.11/dist-packages (from executorch) (0.3.0)\n",
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- "Requirement already satisfied: flatbuffers in /usr/local/lib/python3.11/dist-packages (from executorch) (25.2.10)\n",
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- "Requirement already satisfied: hypothesis in /usr/local/lib/python3.11/dist-packages (from executorch) (6.131.0)\n",
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- "Requirement already satisfied: mpmath==1.3.0 in /usr/local/lib/python3.11/dist-packages (from executorch) (1.3.0)\n",
654
- "Requirement already satisfied: numpy>=2.0.0 in /usr/local/lib/python3.11/dist-packages (from executorch) (2.0.2)\n",
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656
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665
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666
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672
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673
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674
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675
- "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /usr/local/lib/python3.11/dist-packages (from ruamel.yaml->executorch) (0.2.12)\n",
676
- "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.11/dist-packages (from python-dateutil>=2.8.2->pandas>=2.2.2->executorch) (1.17.0)\n"
677
- ]
678
- }
679
- ],
680
- "source": [
681
- "!pip install executorch\n",
682
- "# Testing release candidate\n",
683
- "# !pip install --extra-index-url https://download.pytorch.org/whl/test/cpu executorch==0.6.0 torch==2.7.0 torchaudio==2.7.0 torchvision==0.22.0"
684
- ]
685
- },
686
- {
687
- "cell_type": "markdown",
688
- "source": [],
689
- "metadata": {
690
- "id": "0DwPYBnLEChh"
691
- }
692
- },
693
- {
694
- "cell_type": "code",
695
- "source": [
696
- "# Installing dependencies for Llama\n",
697
- "!pip install transformers accelerate sentencepiece huggingface_hub tiktoken torchtune tokenizers snakeviz lm_eval==0.4.5 blobfile"
698
- ],
699
- "metadata": {
700
- "colab": {
701
- "base_uri": "https://localhost:8080/"
702
- },
703
- "collapsed": true,
704
- "id": "vhSLDN0sDp9-",
705
- "outputId": "002a1ee5-8dc9-4f92-bb50-091a16132d06"
706
- },
707
- "execution_count": 2,
708
- "outputs": [
709
- {
710
- "output_type": "stream",
711
- "name": "stdout",
712
- "text": [
713
- "Requirement already satisfied: transformers in /usr/local/lib/python3.11/dist-packages (4.50.3)\n",
714
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715
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716
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717
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718
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719
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721
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722
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723
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724
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730
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731
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732
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733
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734
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735
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736
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741
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752
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754
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802
- ]
803
- }
804
- ]
805
- },
806
- {
807
- "cell_type": "markdown",
808
- "source": [
809
- "**Step 2. Download Llama 3.2 1B/3B models**"
810
- ],
811
- "metadata": {
812
- "id": "px0lGiHFErF_"
813
- }
814
- },
815
- {
816
- "cell_type": "code",
817
- "source": [
818
- "from huggingface_hub import login\n",
819
- "login()"
820
- ],
821
- "metadata": {
822
- "colab": {
823
- "base_uri": "https://localhost:8080/",
824
- "height": 17,
825
- "referenced_widgets": [
826
- "657f531df8644e42bc239babc3585643",
827
- "d039d532f46e4f76addd8c1f477945b0",
828
- "9e88a1f4b9c549b49781c406a0f67d47",
829
- "ca244e54ce4f4848acfbb2c595e78982",
830
- "176fd3b64a59444bae540a67f568fcb0",
831
- "b7c6689aada446a088954eb89d051918",
832
- "57fe5509178e4659a2a62fe9ad6f4ce8",
833
- "86d98f85accf42f1b579eef91d933134",
834
- "3c7c9ee54c4143899feb58b717824e77",
835
- "4cd2be409f8b4e0582c94504b89ab443",
836
- "b7e5c9a9ac4343ea92461ca6429c541a",
837
- "bcc60e17b06e4c9192982881cf84653c",
838
- "e6d20c110eee4a6f8811df4eece8ee9a",
839
- "c5a4d6704a194a22a2f147e9573a3843",
840
- "e0c8bc7243fd413ea58c683e05e40075",
841
- "c6bb82062fbc4dea90e4d532e92eeb23",
842
- "b44230e168064796bb9bd28b0ac92be6",
843
- "675e215a14f94baea56c552e14425f26",
844
- "a211b717031d4a88a31a1fc20f2a484e",
845
- "0efbb27c57f646bcad6f2d75fe478ce9"
846
- ]
847
- },
848
- "id": "fKKfjA_KEDnU",
849
- "outputId": "449ffcb4-2032-4aab-e691-d48034346a21"
850
- },
851
- "execution_count": 13,
852
- "outputs": [
853
- {
854
- "output_type": "display_data",
855
- "data": {
856
- "text/plain": [
857
- "VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"
858
- ],
859
- "application/vnd.jupyter.widget-view+json": {
860
- "version_major": 2,
861
- "version_minor": 0,
862
- "model_id": "657f531df8644e42bc239babc3585643"
863
- }
864
- },
865
- "metadata": {}
866
- }
867
- ]
868
- },
869
- {
870
- "cell_type": "code",
871
- "source": [
872
- "!huggingface-cli download meta-llama/Llama-3.2-1B --local-dir /content/models/Llama-3.2-1B --local-dir-use-symlinks False"
873
- ],
874
- "metadata": {
875
- "colab": {
876
- "base_uri": "https://localhost:8080/"
877
- },
878
- "collapsed": true,
879
- "id": "JJdsEZaSEEFR",
880
- "outputId": "c43e7769-279d-46c8-b71c-14de5cde8a3f"
881
- },
882
- "execution_count": 4,
883
- "outputs": [
884
- {
885
- "output_type": "stream",
886
- "name": "stdout",
887
- "text": [
888
- "/usr/local/lib/python3.11/dist-packages/huggingface_hub/commands/download.py:139: FutureWarning: Ignoring --local-dir-use-symlinks. Downloading to a local directory does not use symlinks anymore.\n",
889
- " warnings.warn(\n",
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1301
- ]
1302
- }
1303
- ]
1304
- },
1305
- {
1306
- "cell_type": "markdown",
1307
- "source": [
1308
- "**Step 3: Export to ExecuTorch**"
1309
- ],
1310
- "metadata": {
1311
- "id": "XLsl5STwEyEh"
1312
- }
1313
- },
1314
- {
1315
- "cell_type": "code",
1316
- "source": [
1317
- "!cd /content/; python -m executorch.examples.models.llama.export_llama \\\n",
1318
- " --checkpoint /content/models/Llama-3.2-1B/original/consolidated.00.pth \\\n",
1319
- " --params /content/models/Llama-3.2-1B/original/params.json \\\n",
1320
- " -kv \\\n",
1321
- " --use_sdpa_with_kv_cache \\\n",
1322
- " -X \\\n",
1323
- " -d bf16 \\\n",
1324
- " --metadata '{\"get_bos_id\":128000, \"get_eos_ids\":[128009, 128001]}' \\\n",
1325
- " --output_name=\"llama3_2-1B.pte\""
1326
- ],
1327
- "metadata": {
1328
- "colab": {
1329
- "base_uri": "https://localhost:8080/"
1330
- },
1331
- "id": "gXLuFtVVEZov",
1332
- "outputId": "5e42fab8-c2f9-44a7-9fed-cdb7115f4dfe"
1333
- },
1334
- "execution_count": 10,
1335
- "outputs": [
1336
- {
1337
- "output_type": "stream",
1338
- "name": "stdout",
1339
- "text": [
1340
- "[INFO 2025-04-10 14:22:59,732 utils.py:162] NumExpr defaulting to 2 threads.\n",
1341
- "[INFO 2025-04-10 14:23:01,271 export_llama_lib.py:684] Applying quantizers: []\n",
1342
- "[INFO 2025-04-10 14:23:01,545 export_llama_lib.py:649] Checkpoint dtype: torch.bfloat16\n",
1343
- "[INFO 2025-04-10 14:23:01,545 quantized_kv_cache.py:277] Replacing KVCache with CustomKVCache. This modifies the model in place.\n",
1344
- "[INFO 2025-04-10 14:23:01,567 custom_ops.py:34] Looking for libcustom_ops_aot_lib.so in /usr/local/lib/python3.11/dist-packages/executorch/extension/llm/custom_ops\n",
1345
- "[INFO 2025-04-10 14:23:01,569 custom_ops.py:39] Loading custom ops library: /usr/local/lib/python3.11/dist-packages/executorch/extension/llm/custom_ops/libcustom_ops_aot_lib.so\n",
1346
- "[INFO 2025-04-10 14:23:01,581 builder.py:173] Model after source transforms: Transformer(\n",
1347
- " (tok_embeddings): Embedding(128256, 2048)\n",
1348
- " (rope): Rope(\n",
1349
- " (apply_rotary_emb): RotaryEmbedding()\n",
1350
- " )\n",
1351
- " (layers): ModuleList(\n",
1352
- " (0-15): 16 x TransformerBlock(\n",
1353
- " (attention): AttentionMHA(\n",
1354
- " (wq): Linear(in_features=2048, out_features=2048, bias=False)\n",
1355
- " (wk): Linear(in_features=2048, out_features=512, bias=False)\n",
1356
- " (wv): Linear(in_features=2048, out_features=512, bias=False)\n",
1357
- " (wo): Linear(in_features=2048, out_features=2048, bias=False)\n",
1358
- " (rope): Rope(\n",
1359
- " (apply_rotary_emb): RotaryEmbedding()\n",
1360
- " )\n",
1361
- " (kv_cache): CustomKVCache()\n",
1362
- " (SDPA): SDPACustom()\n",
1363
- " )\n",
1364
- " (feed_forward): FeedForward(\n",
1365
- " (w1): Linear(in_features=2048, out_features=8192, bias=False)\n",
1366
- " (w2): Linear(in_features=8192, out_features=2048, bias=False)\n",
1367
- " (w3): Linear(in_features=2048, out_features=8192, bias=False)\n",
1368
- " )\n",
1369
- " (attention_norm): RMSNorm()\n",
1370
- " (ffn_norm): RMSNorm()\n",
1371
- " )\n",
1372
- " )\n",
1373
- " (norm): RMSNorm()\n",
1374
- " (output): Linear(in_features=2048, out_features=128256, bias=False)\n",
1375
- ")\n",
1376
- "[INFO 2025-04-10 14:23:01,659 builder.py:228] Exporting with:\n",
1377
- "[INFO 2025-04-10 14:23:01,662 builder.py:229] inputs: (tensor([[2, 3, 4]]), {'input_pos': tensor([0])})\n",
1378
- "[INFO 2025-04-10 14:23:01,668 builder.py:230] kwargs: None\n",
1379
- "[INFO 2025-04-10 14:23:01,668 builder.py:231] dynamic shapes: ({1: <class 'executorch.extension.llm.export.builder.token_dim'>}, {'input_pos': {0: 1}})\n",
1380
- "[INFO 2025-04-10 14:23:16,177 builder.py:262] Running canonical pass: RemoveRedundantTransposes\n",
1381
- "[INFO 2025-04-10 14:23:16,222 export_llama_lib.py:755] Lowering model using following partitioner(s): \n",
1382
- "[INFO 2025-04-10 14:23:16,222 export_llama_lib.py:757] --> XnnpackDynamicallyQuantizedPartitioner\n",
1383
- "[INFO 2025-04-10 14:23:16,222 builder.py:348] Using pt2e [] to quantizing the model...\n",
1384
- "[INFO 2025-04-10 14:23:16,222 builder.py:399] No quantizer provided, passing...\n",
1385
- "[INFO 2025-04-10 14:23:16,222 builder.py:226] Re-exporting with:\n",
1386
- "[INFO 2025-04-10 14:23:16,223 builder.py:229] inputs: (tensor([[2, 3, 4]]), {'input_pos': tensor([0])})\n",
1387
- "[INFO 2025-04-10 14:23:16,223 builder.py:230] kwargs: None\n",
1388
- "[INFO 2025-04-10 14:23:16,223 builder.py:231] dynamic shapes: ({1: <class 'executorch.extension.llm.export.builder.token_dim'>}, {'input_pos': {0: 1}})\n",
1389
- "/usr/local/lib/python3.11/dist-packages/executorch/exir/emit/_emitter.py:1592: UserWarning: Mutation on a buffer in the model is detected. ExecuTorch assumes buffers that are mutated in the graph have a meaningless initial state, only the shape and dtype will be serialized, unless a pass which sets meta[\"et_init_buffer\"] to True such as InitializedMutableBufferPass is run.\n",
1390
- " warnings.warn(\n",
1391
- "[INFO 2025-04-10 14:24:42,462 builder.py:518] Required memory for activation in bytes: [0, 17735552]\n",
1392
- "modelname: llama3_2-1B\n",
1393
- "output_file: llama3_2-1B.pte\n",
1394
- "[INFO 2025-04-10 14:25:02,007 utils.py:141] Saved exported program to llama3_2-1B.pte\n"
1395
- ]
1396
- }
1397
- ]
1398
- },
1399
- {
1400
- "cell_type": "markdown",
1401
- "source": [],
1402
- "metadata": {
1403
- "id": "d_urCPkvEi98"
1404
- }
1405
- },
1406
- {
1407
- "cell_type": "code",
1408
- "source": [
1409
- "!mv ./llama3_2-1B.pte /content/models/Llama-3.2-1B/original/"
1410
- ],
1411
- "metadata": {
1412
- "id": "XOAVJceLE68b"
1413
- },
1414
- "execution_count": 11,
1415
- "outputs": []
1416
- },
1417
- {
1418
- "cell_type": "markdown",
1419
- "source": [
1420
- "**Step 4: Upload to HF**"
1421
- ],
1422
- "metadata": {
1423
- "id": "-urRwR_iF0QX"
1424
- }
1425
- },
1426
- {
1427
- "cell_type": "code",
1428
- "source": [
1429
- "!huggingface-cli upload executorch-community/Llama-3.2-1B-ET /content/models/Llama-3.2-1B/original/ --exclude=\"*.pth\""
1430
- ],
1431
- "metadata": {
1432
- "colab": {
1433
- "base_uri": "https://localhost:8080/"
1434
- },
1435
- "id": "9YvGfvgxF8sn",
1436
- "outputId": "d580b95d-006b-43db-f540-a1a6f58dd374"
1437
- },
1438
- "execution_count": 14,
1439
- "outputs": [
1440
- {
1441
- "output_type": "stream",
1442
- "name": "stdout",
1443
- "text": [
1444
- "Consider using `hf_transfer` for faster uploads. This solution comes with some limitations. See https://huggingface.co/docs/huggingface_hub/hf_transfer for more details.\n",
1445
- "Start hashing 3 files.\n",
1446
- "Finished hashing 3 files.\n",
1447
- "llama3_2-1B.pte: 100% 2.47G/2.47G [01:07<00:00, 36.5MB/s]\n",
1448
- "Removing 2 file(s) from commit that have not changed.\n",
1449
- "https://huggingface.co/executorch-community/Llama-3.2-1B-ET/tree/main/.\n"
1450
- ]
1451
- }
1452
- ]
1453
- }
1454
- ]
1455
- }