Upload Export_Recipe_Llama_3_2_1B_Instruct_QLORA_INT4_EO8.ipynb
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Export_Recipe_Llama_3_2_1B_Instruct_QLORA_INT4_EO8.ipynb
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"cells": [
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{
|
| 625 |
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"cell_type": "markdown",
|
| 626 |
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"source": [
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| 627 |
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"**Step 1: Setting Up ExecuTorch**"
|
| 628 |
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],
|
| 629 |
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"metadata": {
|
| 630 |
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"id": "ZOq6nHdVElC6"
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}
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},
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{
|
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"cell_type": "code",
|
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"execution_count": 1,
|
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"metadata": {
|
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"colab": {
|
| 638 |
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"base_uri": "https://localhost:8080/"
|
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},
|
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"collapsed": true,
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"id": "EWz6sJfRDQKT",
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"outputId": "743d233a-dfcb-42a6-8101-87c86cf5a740"
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},
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| 644 |
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"outputs": [
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| 645 |
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{
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"output_type": "stream",
|
| 647 |
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"name": "stdout",
|
| 648 |
+
"text": [
|
| 649 |
+
"Requirement already satisfied: executorch in /usr/local/lib/python3.11/dist-packages (0.6.0+cpu)\n",
|
| 650 |
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"Requirement already satisfied: expecttest in /usr/local/lib/python3.11/dist-packages (from executorch) (0.3.0)\n",
|
| 651 |
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"Requirement already satisfied: flatbuffers in /usr/local/lib/python3.11/dist-packages (from executorch) (25.2.10)\n",
|
| 652 |
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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",
|
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"Requirement already satisfied: numpy>=2.0.0 in /usr/local/lib/python3.11/dist-packages (from executorch) (2.0.2)\n",
|
| 655 |
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"Requirement already satisfied: packaging in /usr/local/lib/python3.11/dist-packages (from executorch) (24.2)\n",
|
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"Requirement already satisfied: pandas>=2.2.2 in /usr/local/lib/python3.11/dist-packages (from executorch) (2.2.2)\n",
|
| 657 |
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"Requirement already satisfied: parameterized in /usr/local/lib/python3.11/dist-packages (from executorch) (0.9.0)\n",
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| 658 |
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"Requirement already satisfied: pytest in /usr/local/lib/python3.11/dist-packages (from executorch) (8.3.5)\n",
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"Requirement already satisfied: pytest-xdist in /usr/local/lib/python3.11/dist-packages (from executorch) (3.6.1)\n",
|
| 660 |
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"Requirement already satisfied: pytest-rerunfailures in /usr/local/lib/python3.11/dist-packages (from executorch) (15.0)\n",
|
| 661 |
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"Requirement already satisfied: pyyaml in /usr/local/lib/python3.11/dist-packages (from executorch) (6.0.2)\n",
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"Requirement already satisfied: ruamel.yaml in /usr/local/lib/python3.11/dist-packages (from executorch) (0.18.10)\n",
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"Requirement already satisfied: sympy in /usr/local/lib/python3.11/dist-packages (from executorch) (1.13.3)\n",
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"Requirement already satisfied: tabulate in /usr/local/lib/python3.11/dist-packages (from executorch) (0.9.0)\n",
|
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"Requirement already satisfied: torchao==0.10.0 in /usr/local/lib/python3.11/dist-packages (from executorch) (0.10.0+cpu)\n",
|
| 666 |
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"Requirement already satisfied: typing-extensions in /usr/local/lib/python3.11/dist-packages (from executorch) (4.13.1)\n",
|
| 667 |
+
"Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.11/dist-packages (from pandas>=2.2.2->executorch) (2.8.2)\n",
|
| 668 |
+
"Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.11/dist-packages (from pandas>=2.2.2->executorch) (2025.2)\n",
|
| 669 |
+
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|
| 670 |
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"Requirement already satisfied: attrs>=22.2.0 in /usr/local/lib/python3.11/dist-packages (from hypothesis->executorch) (25.3.0)\n",
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+
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| 672 |
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| 673 |
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"Requirement already satisfied: pluggy<2,>=1.5 in /usr/local/lib/python3.11/dist-packages (from pytest->executorch) (1.5.0)\n",
|
| 674 |
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"Requirement already satisfied: execnet>=2.1 in /usr/local/lib/python3.11/dist-packages (from pytest-xdist->executorch) (2.1.1)\n",
|
| 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 |
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"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": "4343173c-4f02-4613-bec5-84c423bcec22"
|
| 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",
|
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"Requirement already satisfied: accelerate in /usr/local/lib/python3.11/dist-packages (1.5.2)\n",
|
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"Requirement already satisfied: sentencepiece in /usr/local/lib/python3.11/dist-packages (0.2.0)\n",
|
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"Requirement already satisfied: huggingface_hub in /usr/local/lib/python3.11/dist-packages (0.30.1)\n",
|
| 717 |
+
"Requirement already satisfied: tiktoken in /usr/local/lib/python3.11/dist-packages (0.9.0)\n",
|
| 718 |
+
"Requirement already satisfied: torchtune in /usr/local/lib/python3.11/dist-packages (0.6.1)\n",
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| 719 |
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"Requirement already satisfied: tokenizers in /usr/local/lib/python3.11/dist-packages (0.21.1)\n",
|
| 720 |
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"Requirement already satisfied: snakeviz in /usr/local/lib/python3.11/dist-packages (2.2.2)\n",
|
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"Requirement already satisfied: lm_eval==0.4.5 in /usr/local/lib/python3.11/dist-packages (0.4.5)\n",
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| 722 |
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"Requirement already satisfied: blobfile in /usr/local/lib/python3.11/dist-packages (3.0.0)\n",
|
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+
"Requirement already satisfied: evaluate in /usr/local/lib/python3.11/dist-packages (from lm_eval==0.4.5) (0.4.3)\n",
|
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+
"Requirement already satisfied: datasets>=2.16.0 in /usr/local/lib/python3.11/dist-packages (from lm_eval==0.4.5) (3.5.0)\n",
|
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+
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|
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+
"Requirement already satisfied: peft>=0.2.0 in /usr/local/lib/python3.11/dist-packages (from lm_eval==0.4.5) (0.14.0)\n",
|
| 728 |
+
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|
| 730 |
+
"Requirement already satisfied: rouge-score>=0.0.4 in /usr/local/lib/python3.11/dist-packages (from lm_eval==0.4.5) (0.1.2)\n",
|
| 731 |
+
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|
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+
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+
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"Requirement already satisfied: zstandard in /usr/local/lib/python3.11/dist-packages (from lm_eval==0.4.5) (0.23.0)\n",
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"Requirement already satisfied: dill in /usr/local/lib/python3.11/dist-packages (from lm_eval==0.4.5) (0.3.8)\n",
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"Requirement already satisfied: word2number in /usr/local/lib/python3.11/dist-packages (from lm_eval==0.4.5) (1.1)\n",
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+
"Requirement already satisfied: filelock in /usr/local/lib/python3.11/dist-packages (from transformers) (3.18.0)\n",
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"Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.11/dist-packages (from transformers) (2.0.2)\n",
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"Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.11/dist-packages (from transformers) (24.2)\n",
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"Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.11/dist-packages (from transformers) (6.0.2)\n",
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+
"Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.11/dist-packages (from transformers) (2024.11.6)\n",
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"Requirement already satisfied: requests in /usr/local/lib/python3.11/dist-packages (from transformers) (2.32.3)\n",
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"Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.11/dist-packages (from transformers) (4.67.1)\n",
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"Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.11/dist-packages (from huggingface_hub) (2024.12.0)\n",
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"Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.11/dist-packages (from huggingface_hub) (4.13.1)\n",
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"id": "px0lGiHFErF_"
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"metadata": {
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"base_uri": "https://localhost:8080/",
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"height": 17,
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"referenced_widgets": [
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"c3b751d377094dea8b10f2e07a541944",
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"4830dbb59c6d4fa2b4818f6f0e1f134e",
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"d2bf2102bc7e48708c1f3ef0a8162a82",
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"4ed7db37c8b145279b9abac0add2f361",
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"a622d9fa89a945a69a3bea033a130c6a",
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"2701e495c32f4808a7bf25b8f3b1417d",
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"212c60896f584652b999f18ed992a062",
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"execution_count": 3,
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"outputs": [
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"data": {
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"version_major": 2,
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{
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"cell_type": "code",
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"source": [
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"!huggingface-cli download meta-llama/Llama-3.2-1B-Instruct-QLORA_INT4_EO8 --local-dir /content/models/Llama-3.2-1B-Instruct-QLORA_INT4_EO8 --local-dir-use-symlinks False"
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"colab": {
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"/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",
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| 958 |
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"consolidated.00.pth: 14% 231M/1.64G [00:04<00:24, 57.2MB/s]\u001b[A\u001b[A\n",
|
| 959 |
+
"\n",
|
| 960 |
+
"consolidated.00.pth: 15% 241M/1.64G [00:04<00:24, 57.1MB/s]\u001b[A\u001b[A\n",
|
| 961 |
+
"\n",
|
| 962 |
+
"consolidated.00.pth: 15% 252M/1.64G [00:04<00:24, 57.1MB/s]\u001b[A\u001b[A\n",
|
| 963 |
+
"\n",
|
| 964 |
+
"consolidated.00.pth: 16% 262M/1.64G [00:04<00:24, 57.1MB/s]\u001b[A\u001b[A\n",
|
| 965 |
+
"\n",
|
| 966 |
+
"consolidated.00.pth: 17% 273M/1.64G [00:05<00:23, 57.2MB/s]\u001b[A\u001b[A\n",
|
| 967 |
+
"\n",
|
| 968 |
+
"consolidated.00.pth: 17% 283M/1.64G [00:05<00:23, 57.1MB/s]\u001b[A\u001b[A\n",
|
| 969 |
+
"\n",
|
| 970 |
+
"consolidated.00.pth: 18% 294M/1.64G [00:05<00:23, 57.2MB/s]\u001b[A\u001b[A\n",
|
| 971 |
+
"\n",
|
| 972 |
+
"consolidated.00.pth: 18% 304M/1.64G [00:05<00:23, 57.2MB/s]\u001b[A\u001b[A\n",
|
| 973 |
+
"\n",
|
| 974 |
+
"consolidated.00.pth: 19% 315M/1.64G [00:05<00:23, 57.2MB/s]\u001b[A\u001b[A\n",
|
| 975 |
+
"\n",
|
| 976 |
+
"consolidated.00.pth: 20% 325M/1.64G [00:05<00:23, 57.0MB/s]\u001b[A\u001b[A\n",
|
| 977 |
+
"\n",
|
| 978 |
+
"consolidated.00.pth: 20% 336M/1.64G [00:06<00:23, 56.7MB/s]\u001b[A\u001b[A\n",
|
| 979 |
+
"\n",
|
| 980 |
+
"consolidated.00.pth: 21% 346M/1.64G [00:06<00:22, 56.8MB/s]\u001b[A\u001b[A\n",
|
| 981 |
+
"\n",
|
| 982 |
+
"consolidated.00.pth: 22% 357M/1.64G [00:06<00:23, 55.5MB/s]\u001b[A\u001b[A\n",
|
| 983 |
+
"\n",
|
| 984 |
+
"consolidated.00.pth: 22% 367M/1.64G [00:06<00:23, 55.4MB/s]\u001b[A\u001b[A\n",
|
| 985 |
+
"\n",
|
| 986 |
+
"consolidated.00.pth: 23% 377M/1.64G [00:06<00:22, 55.8MB/s]\u001b[A\u001b[A\n",
|
| 987 |
+
"\n",
|
| 988 |
+
"consolidated.00.pth: 24% 388M/1.64G [00:07<00:22, 56.2MB/s]\u001b[A\u001b[A\n",
|
| 989 |
+
"\n",
|
| 990 |
+
"consolidated.00.pth: 24% 398M/1.64G [00:07<00:22, 56.3MB/s]\u001b[A\u001b[A\n",
|
| 991 |
+
"\n",
|
| 992 |
+
"consolidated.00.pth: 25% 409M/1.64G [00:07<00:21, 56.2MB/s]\u001b[A\u001b[A\n",
|
| 993 |
+
"\n",
|
| 994 |
+
"consolidated.00.pth: 26% 419M/1.64G [00:07<00:22, 55.3MB/s]\u001b[A\u001b[A\n",
|
| 995 |
+
"\n",
|
| 996 |
+
"consolidated.00.pth: 26% 430M/1.64G [00:07<00:22, 55.2MB/s]\u001b[A\u001b[A\n",
|
| 997 |
+
"\n",
|
| 998 |
+
"consolidated.00.pth: 27% 440M/1.64G [00:08<00:21, 55.5MB/s]\u001b[A\u001b[A\n",
|
| 999 |
+
"\n",
|
| 1000 |
+
"consolidated.00.pth: 27% 451M/1.64G [00:08<00:21, 55.5MB/s]\u001b[A\u001b[A\n",
|
| 1001 |
+
"\n",
|
| 1002 |
+
"consolidated.00.pth: 28% 461M/1.64G [00:08<00:21, 56.1MB/s]\u001b[A\u001b[A\n",
|
| 1003 |
+
"\n",
|
| 1004 |
+
"consolidated.00.pth: 29% 472M/1.64G [00:08<00:20, 56.4MB/s]\u001b[A\u001b[A\n",
|
| 1005 |
+
"\n",
|
| 1006 |
+
"consolidated.00.pth: 29% 482M/1.64G [00:08<00:20, 56.6MB/s]\u001b[A\u001b[A\n",
|
| 1007 |
+
"\n",
|
| 1008 |
+
"consolidated.00.pth: 30% 493M/1.64G [00:08<00:20, 56.7MB/s]\u001b[A\u001b[A\n",
|
| 1009 |
+
"\n",
|
| 1010 |
+
"consolidated.00.pth: 31% 503M/1.64G [00:09<00:20, 56.9MB/s]\u001b[A\u001b[A\n",
|
| 1011 |
+
"\n",
|
| 1012 |
+
"consolidated.00.pth: 31% 514M/1.64G [00:09<00:19, 56.9MB/s]\u001b[A\u001b[A\n",
|
| 1013 |
+
"\n",
|
| 1014 |
+
"consolidated.00.pth: 32% 524M/1.64G [00:09<00:19, 57.2MB/s]\u001b[A\u001b[A\n",
|
| 1015 |
+
"\n",
|
| 1016 |
+
"consolidated.00.pth: 33% 535M/1.64G [00:09<00:19, 57.1MB/s]\u001b[A\u001b[A\n",
|
| 1017 |
+
"\n",
|
| 1018 |
+
"consolidated.00.pth: 33% 545M/1.64G [00:09<00:19, 57.2MB/s]\u001b[A\u001b[A\n",
|
| 1019 |
+
"\n",
|
| 1020 |
+
"consolidated.00.pth: 34% 556M/1.64G [00:10<00:23, 46.9MB/s]\u001b[A\u001b[A\n",
|
| 1021 |
+
"\n",
|
| 1022 |
+
"consolidated.00.pth: 35% 577M/1.64G [00:10<00:17, 60.1MB/s]\u001b[A\u001b[A\n",
|
| 1023 |
+
"\n",
|
| 1024 |
+
"consolidated.00.pth: 36% 587M/1.64G [00:10<00:17, 59.5MB/s]\u001b[A\u001b[A\n",
|
| 1025 |
+
"\n",
|
| 1026 |
+
"consolidated.00.pth: 36% 598M/1.64G [00:10<00:19, 53.2MB/s]\u001b[A\u001b[A\n",
|
| 1027 |
+
"\n",
|
| 1028 |
+
"consolidated.00.pth: 37% 608M/1.64G [00:10<00:17, 60.2MB/s]\u001b[A\u001b[A\n",
|
| 1029 |
+
"\n",
|
| 1030 |
+
"consolidated.00.pth: 38% 619M/1.64G [00:11<00:17, 58.6MB/s]\u001b[A\u001b[A\n",
|
| 1031 |
+
"\n",
|
| 1032 |
+
"consolidated.00.pth: 38% 629M/1.64G [00:11<00:17, 58.9MB/s]\u001b[A\u001b[A\n",
|
| 1033 |
+
"\n",
|
| 1034 |
+
"consolidated.00.pth: 39% 640M/1.64G [00:11<00:17, 58.7MB/s]\u001b[A\u001b[A\n",
|
| 1035 |
+
"\n",
|
| 1036 |
+
"consolidated.00.pth: 40% 650M/1.64G [00:11<00:17, 58.2MB/s]\u001b[A\u001b[A\n",
|
| 1037 |
+
"\n",
|
| 1038 |
+
"consolidated.00.pth: 40% 661M/1.64G [00:11<00:17, 57.8MB/s]\u001b[A\u001b[A\n",
|
| 1039 |
+
"\n",
|
| 1040 |
+
"consolidated.00.pth: 41% 671M/1.64G [00:12<00:16, 57.4MB/s]\u001b[A\u001b[A\n",
|
| 1041 |
+
"\n",
|
| 1042 |
+
"consolidated.00.pth: 41% 682M/1.64G [00:12<00:16, 57.0MB/s]\u001b[A\u001b[A\n",
|
| 1043 |
+
"\n",
|
| 1044 |
+
"consolidated.00.pth: 42% 692M/1.64G [00:12<00:16, 56.1MB/s]\u001b[A\u001b[A\n",
|
| 1045 |
+
"\n",
|
| 1046 |
+
"consolidated.00.pth: 43% 703M/1.64G [00:12<00:17, 54.9MB/s]\u001b[A\u001b[A\n",
|
| 1047 |
+
"\n",
|
| 1048 |
+
"consolidated.00.pth: 43% 713M/1.64G [00:12<00:16, 56.5MB/s]\u001b[A\u001b[A\n",
|
| 1049 |
+
"\n",
|
| 1050 |
+
"consolidated.00.pth: 44% 724M/1.64G [00:13<00:16, 56.6MB/s]\u001b[A\u001b[A\n",
|
| 1051 |
+
"\n",
|
| 1052 |
+
"consolidated.00.pth: 45% 734M/1.64G [00:13<00:16, 56.6MB/s]\u001b[A\u001b[A\n",
|
| 1053 |
+
"\n",
|
| 1054 |
+
"consolidated.00.pth: 45% 744M/1.64G [00:13<00:15, 56.8MB/s]\u001b[A\u001b[A\n",
|
| 1055 |
+
"\n",
|
| 1056 |
+
"consolidated.00.pth: 46% 755M/1.64G [00:13<00:15, 56.9MB/s]\u001b[A\u001b[A\n",
|
| 1057 |
+
"\n",
|
| 1058 |
+
"consolidated.00.pth: 47% 765M/1.64G [00:13<00:15, 56.8MB/s]\u001b[A\u001b[A\n",
|
| 1059 |
+
"\n",
|
| 1060 |
+
"consolidated.00.pth: 47% 776M/1.64G [00:13<00:15, 56.9MB/s]\u001b[A\u001b[A\n",
|
| 1061 |
+
"\n",
|
| 1062 |
+
"consolidated.00.pth: 48% 786M/1.64G [00:14<00:15, 56.8MB/s]\u001b[A\u001b[A\n",
|
| 1063 |
+
"\n",
|
| 1064 |
+
"consolidated.00.pth: 48% 797M/1.64G [00:14<00:15, 56.5MB/s]\u001b[A\u001b[A\n",
|
| 1065 |
+
"\n",
|
| 1066 |
+
"consolidated.00.pth: 49% 807M/1.64G [00:14<00:15, 55.6MB/s]\u001b[A\u001b[A\n",
|
| 1067 |
+
"\n",
|
| 1068 |
+
"consolidated.00.pth: 50% 818M/1.64G [00:14<00:14, 55.3MB/s]\u001b[A\u001b[A\n",
|
| 1069 |
+
"\n",
|
| 1070 |
+
"consolidated.00.pth: 50% 828M/1.64G [00:14<00:14, 55.5MB/s]\u001b[A\u001b[A\n",
|
| 1071 |
+
"\n",
|
| 1072 |
+
"consolidated.00.pth: 51% 839M/1.64G [00:15<00:14, 56.0MB/s]\u001b[A\u001b[A\n",
|
| 1073 |
+
"\n",
|
| 1074 |
+
"consolidated.00.pth: 52% 849M/1.64G [00:15<00:14, 56.1MB/s]\u001b[A\u001b[A\n",
|
| 1075 |
+
"\n",
|
| 1076 |
+
"consolidated.00.pth: 52% 860M/1.64G [00:15<00:13, 56.3MB/s]\u001b[A\u001b[A\n",
|
| 1077 |
+
"\n",
|
| 1078 |
+
"consolidated.00.pth: 53% 870M/1.64G [00:15<00:13, 56.5MB/s]\u001b[A\u001b[A\n",
|
| 1079 |
+
"\n",
|
| 1080 |
+
"consolidated.00.pth: 54% 881M/1.64G [00:15<00:13, 56.6MB/s]\u001b[A\u001b[A\n",
|
| 1081 |
+
"\n",
|
| 1082 |
+
"consolidated.00.pth: 54% 891M/1.64G [00:15<00:13, 56.8MB/s]\u001b[A\u001b[A\n",
|
| 1083 |
+
"\n",
|
| 1084 |
+
"consolidated.00.pth: 55% 902M/1.64G [00:16<00:13, 57.0MB/s]\u001b[A\u001b[A\n",
|
| 1085 |
+
"\n",
|
| 1086 |
+
"consolidated.00.pth: 55% 912M/1.64G [00:16<00:12, 57.1MB/s]\u001b[A\u001b[A\n",
|
| 1087 |
+
"\n",
|
| 1088 |
+
"consolidated.00.pth: 56% 923M/1.64G [00:16<00:12, 57.1MB/s]\u001b[A\u001b[A\n",
|
| 1089 |
+
"\n",
|
| 1090 |
+
"consolidated.00.pth: 57% 933M/1.64G [00:16<00:12, 57.2MB/s]\u001b[A\u001b[A\n",
|
| 1091 |
+
"\n",
|
| 1092 |
+
"consolidated.00.pth: 57% 944M/1.64G [00:16<00:12, 56.9MB/s]\u001b[A\u001b[A\n",
|
| 1093 |
+
"\n",
|
| 1094 |
+
"consolidated.00.pth: 58% 954M/1.64G [00:17<00:12, 57.3MB/s]\u001b[A\u001b[A\n",
|
| 1095 |
+
"\n",
|
| 1096 |
+
"consolidated.00.pth: 59% 965M/1.64G [00:17<00:11, 57.2MB/s]\u001b[A\u001b[A\n",
|
| 1097 |
+
"\n",
|
| 1098 |
+
"consolidated.00.pth: 59% 975M/1.64G [00:17<00:11, 57.2MB/s]\u001b[A\u001b[A\n",
|
| 1099 |
+
"\n",
|
| 1100 |
+
"consolidated.00.pth: 60% 986M/1.64G [00:17<00:11, 57.2MB/s]\u001b[A\u001b[A\n",
|
| 1101 |
+
"\n",
|
| 1102 |
+
"consolidated.00.pth: 61% 996M/1.64G [00:17<00:11, 57.3MB/s]\u001b[A\u001b[A\n",
|
| 1103 |
+
"\n",
|
| 1104 |
+
"consolidated.00.pth: 61% 1.01G/1.64G [00:18<00:11, 56.9MB/s]\u001b[A\u001b[A\n",
|
| 1105 |
+
"\n",
|
| 1106 |
+
"consolidated.00.pth: 62% 1.02G/1.64G [00:18<00:11, 56.8MB/s]\u001b[A\u001b[A\n",
|
| 1107 |
+
"\n",
|
| 1108 |
+
"consolidated.00.pth: 63% 1.03G/1.64G [00:18<00:10, 56.9MB/s]\u001b[A\u001b[A\n",
|
| 1109 |
+
"\n",
|
| 1110 |
+
"consolidated.00.pth: 63% 1.04G/1.64G [00:18<00:10, 56.8MB/s]\u001b[A\u001b[A\n",
|
| 1111 |
+
"\n",
|
| 1112 |
+
"consolidated.00.pth: 64% 1.05G/1.64G [00:18<00:10, 56.5MB/s]\u001b[A\u001b[A\n",
|
| 1113 |
+
"\n",
|
| 1114 |
+
"consolidated.00.pth: 64% 1.06G/1.64G [00:18<00:10, 56.3MB/s]\u001b[A\u001b[A\n",
|
| 1115 |
+
"\n",
|
| 1116 |
+
"consolidated.00.pth: 65% 1.07G/1.64G [00:19<00:10, 56.4MB/s]\u001b[A\u001b[A\n",
|
| 1117 |
+
"\n",
|
| 1118 |
+
"consolidated.00.pth: 66% 1.08G/1.64G [00:19<00:09, 56.6MB/s]\u001b[A\u001b[A\n",
|
| 1119 |
+
"\n",
|
| 1120 |
+
"consolidated.00.pth: 66% 1.09G/1.64G [00:19<00:09, 56.5MB/s]\u001b[A\u001b[A\n",
|
| 1121 |
+
"\n",
|
| 1122 |
+
"consolidated.00.pth: 67% 1.10G/1.64G [00:19<00:09, 56.6MB/s]\u001b[A\u001b[A\n",
|
| 1123 |
+
"\n",
|
| 1124 |
+
"consolidated.00.pth: 68% 1.11G/1.64G [00:19<00:09, 56.6MB/s]\u001b[A\u001b[A\n",
|
| 1125 |
+
"\n",
|
| 1126 |
+
"consolidated.00.pth: 68% 1.12G/1.64G [00:20<00:09, 56.4MB/s]\u001b[A\u001b[A\n",
|
| 1127 |
+
"\n",
|
| 1128 |
+
"consolidated.00.pth: 69% 1.13G/1.64G [00:20<00:09, 56.5MB/s]\u001b[A\u001b[A\n",
|
| 1129 |
+
"\n",
|
| 1130 |
+
"consolidated.00.pth: 70% 1.14G/1.64G [00:20<00:08, 56.7MB/s]\u001b[A\u001b[A\n",
|
| 1131 |
+
"\n",
|
| 1132 |
+
"consolidated.00.pth: 70% 1.15G/1.64G [00:20<00:08, 56.1MB/s]\u001b[A\u001b[A\n",
|
| 1133 |
+
"\n",
|
| 1134 |
+
"consolidated.00.pth: 71% 1.16G/1.64G [00:20<00:08, 56.0MB/s]\u001b[A\u001b[A\n",
|
| 1135 |
+
"\n",
|
| 1136 |
+
"consolidated.00.pth: 71% 1.17G/1.64G [00:20<00:08, 55.4MB/s]\u001b[A\u001b[A\n",
|
| 1137 |
+
"\n",
|
| 1138 |
+
"consolidated.00.pth: 72% 1.18G/1.64G [00:21<00:08, 52.1MB/s]\u001b[A\u001b[A\n",
|
| 1139 |
+
"\n",
|
| 1140 |
+
"consolidated.00.pth: 73% 1.20G/1.64G [00:21<00:08, 55.0MB/s]\u001b[A\u001b[A\n",
|
| 1141 |
+
"\n",
|
| 1142 |
+
"consolidated.00.pth: 73% 1.21G/1.64G [00:21<00:07, 56.9MB/s]\u001b[A\u001b[A\n",
|
| 1143 |
+
"\n",
|
| 1144 |
+
"consolidated.00.pth: 74% 1.22G/1.64G [00:21<00:07, 57.5MB/s]\u001b[A\u001b[A\n",
|
| 1145 |
+
"\n",
|
| 1146 |
+
"consolidated.00.pth: 75% 1.23G/1.64G [00:21<00:07, 57.5MB/s]\u001b[A\u001b[A\n",
|
| 1147 |
+
"\n",
|
| 1148 |
+
"consolidated.00.pth: 75% 1.24G/1.64G [00:22<00:07, 57.2MB/s]\u001b[A\u001b[A\n",
|
| 1149 |
+
"\n",
|
| 1150 |
+
"consolidated.00.pth: 76% 1.25G/1.64G [00:22<00:06, 57.1MB/s]\u001b[A\u001b[A\n",
|
| 1151 |
+
"\n",
|
| 1152 |
+
"consolidated.00.pth: 77% 1.26G/1.64G [00:22<00:06, 57.1MB/s]\u001b[A\u001b[A\n",
|
| 1153 |
+
"\n",
|
| 1154 |
+
"consolidated.00.pth: 77% 1.27G/1.64G [00:22<00:06, 56.3MB/s]\u001b[A\u001b[A\n",
|
| 1155 |
+
"\n",
|
| 1156 |
+
"consolidated.00.pth: 78% 1.28G/1.64G [00:22<00:06, 57.6MB/s]\u001b[A\u001b[A\n",
|
| 1157 |
+
"\n",
|
| 1158 |
+
"consolidated.00.pth: 78% 1.29G/1.64G [00:23<00:06, 57.4MB/s]\u001b[A\u001b[A\n",
|
| 1159 |
+
"\n",
|
| 1160 |
+
"consolidated.00.pth: 79% 1.30G/1.64G [00:23<00:05, 57.3MB/s]\u001b[A\u001b[A\n",
|
| 1161 |
+
"\n",
|
| 1162 |
+
"consolidated.00.pth: 80% 1.31G/1.64G [00:23<00:05, 57.3MB/s]\u001b[A\u001b[A\n",
|
| 1163 |
+
"\n",
|
| 1164 |
+
"consolidated.00.pth: 80% 1.32G/1.64G [00:23<00:05, 57.2MB/s]\u001b[A\u001b[A\n",
|
| 1165 |
+
"\n",
|
| 1166 |
+
"consolidated.00.pth: 81% 1.33G/1.64G [00:23<00:05, 57.2MB/s]\u001b[A\u001b[A\n",
|
| 1167 |
+
"\n",
|
| 1168 |
+
"consolidated.00.pth: 82% 1.34G/1.64G [00:23<00:05, 57.2MB/s]\u001b[A\u001b[A\n",
|
| 1169 |
+
"\n",
|
| 1170 |
+
"consolidated.00.pth: 82% 1.35G/1.64G [00:24<00:05, 57.1MB/s]\u001b[A\u001b[A\n",
|
| 1171 |
+
"\n",
|
| 1172 |
+
"consolidated.00.pth: 83% 1.36G/1.64G [00:24<00:04, 57.1MB/s]\u001b[A\u001b[A\n",
|
| 1173 |
+
"\n",
|
| 1174 |
+
"consolidated.00.pth: 84% 1.37G/1.64G [00:24<00:04, 57.1MB/s]\u001b[A\u001b[A\n",
|
| 1175 |
+
"\n",
|
| 1176 |
+
"consolidated.00.pth: 84% 1.38G/1.64G [00:24<00:04, 56.7MB/s]\u001b[A\u001b[A\n",
|
| 1177 |
+
"\n",
|
| 1178 |
+
"consolidated.00.pth: 85% 1.39G/1.64G [00:24<00:04, 56.9MB/s]\u001b[A\u001b[A\n",
|
| 1179 |
+
"\n",
|
| 1180 |
+
"consolidated.00.pth: 85% 1.41G/1.64G [00:25<00:04, 56.7MB/s]\u001b[A\u001b[A\n",
|
| 1181 |
+
"\n",
|
| 1182 |
+
"consolidated.00.pth: 86% 1.42G/1.64G [00:25<00:04, 56.3MB/s]\u001b[A\u001b[A\n",
|
| 1183 |
+
"\n",
|
| 1184 |
+
"consolidated.00.pth: 87% 1.43G/1.64G [00:25<00:03, 56.3MB/s]\u001b[A\u001b[A\n",
|
| 1185 |
+
"\n",
|
| 1186 |
+
"consolidated.00.pth: 87% 1.44G/1.64G [00:25<00:03, 56.4MB/s]\u001b[A\u001b[A\n",
|
| 1187 |
+
"\n",
|
| 1188 |
+
"consolidated.00.pth: 88% 1.45G/1.64G [00:25<00:03, 56.4MB/s]\u001b[A\u001b[A\n",
|
| 1189 |
+
"\n",
|
| 1190 |
+
"consolidated.00.pth: 89% 1.46G/1.64G [00:25<00:03, 56.7MB/s]\u001b[A\u001b[A\n",
|
| 1191 |
+
"\n",
|
| 1192 |
+
"consolidated.00.pth: 89% 1.47G/1.64G [00:26<00:03, 56.9MB/s]\u001b[A\u001b[A\n",
|
| 1193 |
+
"\n",
|
| 1194 |
+
"consolidated.00.pth: 90% 1.48G/1.64G [00:26<00:02, 57.0MB/s]\u001b[A\u001b[A\n",
|
| 1195 |
+
"\n",
|
| 1196 |
+
"consolidated.00.pth: 91% 1.49G/1.64G [00:26<00:02, 56.9MB/s]\u001b[A\u001b[A\n",
|
| 1197 |
+
"\n",
|
| 1198 |
+
"consolidated.00.pth: 91% 1.50G/1.64G [00:26<00:02, 56.8MB/s]\u001b[A\u001b[A\n",
|
| 1199 |
+
"\n",
|
| 1200 |
+
"consolidated.00.pth: 92% 1.51G/1.64G [00:26<00:02, 55.8MB/s]\u001b[A\u001b[A\n",
|
| 1201 |
+
"\n",
|
| 1202 |
+
"consolidated.00.pth: 92% 1.52G/1.64G [00:27<00:02, 55.9MB/s]\u001b[A\u001b[A\n",
|
| 1203 |
+
"\n",
|
| 1204 |
+
"consolidated.00.pth: 93% 1.53G/1.64G [00:27<00:02, 55.8MB/s]\u001b[A\u001b[A\n",
|
| 1205 |
+
"\n",
|
| 1206 |
+
"consolidated.00.pth: 94% 1.54G/1.64G [00:27<00:01, 56.2MB/s]\u001b[A\u001b[A\n",
|
| 1207 |
+
"\n",
|
| 1208 |
+
"consolidated.00.pth: 94% 1.55G/1.64G [00:27<00:01, 55.1MB/s]\u001b[A\u001b[A\n",
|
| 1209 |
+
"\n",
|
| 1210 |
+
"consolidated.00.pth: 95% 1.56G/1.64G [00:27<00:01, 56.9MB/s]\u001b[A\u001b[A\n",
|
| 1211 |
+
"\n",
|
| 1212 |
+
"consolidated.00.pth: 96% 1.57G/1.64G [00:28<00:01, 56.7MB/s]\u001b[A\u001b[A\n",
|
| 1213 |
+
"\n",
|
| 1214 |
+
"consolidated.00.pth: 96% 1.58G/1.64G [00:28<00:01, 56.7MB/s]\u001b[A\u001b[A\n",
|
| 1215 |
+
"\n",
|
| 1216 |
+
"consolidated.00.pth: 97% 1.59G/1.64G [00:28<00:00, 56.1MB/s]\u001b[A\u001b[A\n",
|
| 1217 |
+
"\n",
|
| 1218 |
+
"consolidated.00.pth: 98% 1.60G/1.64G [00:28<00:00, 56.2MB/s]\u001b[A\u001b[A\n",
|
| 1219 |
+
"\n",
|
| 1220 |
+
"consolidated.00.pth: 98% 1.61G/1.64G [00:28<00:00, 56.6MB/s]\u001b[A\u001b[A\n",
|
| 1221 |
+
"\n",
|
| 1222 |
+
"consolidated.00.pth: 99% 1.63G/1.64G [00:28<00:00, 56.6MB/s]\u001b[A\u001b[A\n",
|
| 1223 |
+
"\n",
|
| 1224 |
+
"consolidated.00.pth: 100% 1.64G/1.64G [00:29<00:00, 56.8MB/s]\u001b[A\u001b[A\n",
|
| 1225 |
+
"\n",
|
| 1226 |
+
"consolidated.00.pth: 100% 1.64G/1.64G [00:29<00:00, 56.2MB/s]\n",
|
| 1227 |
+
"Download complete. Moving file to /content/models/Llama-3.2-1B-Instruct-QLORA_INT4_EO8/consolidated.00.pth\n",
|
| 1228 |
+
"Fetching 6 files: 100% 6/6 [00:29<00:00, 4.93s/it]\n",
|
| 1229 |
+
"/content/models/Llama-3.2-1B-Instruct-QLORA_INT4_EO8\n"
|
| 1230 |
+
]
|
| 1231 |
+
}
|
| 1232 |
+
]
|
| 1233 |
+
},
|
| 1234 |
+
{
|
| 1235 |
+
"cell_type": "markdown",
|
| 1236 |
+
"source": [
|
| 1237 |
+
"**Step 3: Export to ExecuTorch**"
|
| 1238 |
+
],
|
| 1239 |
+
"metadata": {
|
| 1240 |
+
"id": "XLsl5STwEyEh"
|
| 1241 |
+
}
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"cell_type": "code",
|
| 1245 |
+
"source": [
|
| 1246 |
+
"!cd /content/; python -m executorch.examples.models.llama.export_llama \\\n",
|
| 1247 |
+
" --model \"llama3_2\" \\\n",
|
| 1248 |
+
" --checkpoint /content/models/Llama-3.2-1B-Instruct-QLORA_INT4_EO8/consolidated.00.pth \\\n",
|
| 1249 |
+
" --params /content/models/Llama-3.2-1B-Instruct-QLORA_INT4_EO8/params.json \\\n",
|
| 1250 |
+
" -qat \\\n",
|
| 1251 |
+
" -lora 16 \\\n",
|
| 1252 |
+
" --preq_mode 8da4w_output_8da8w \\\n",
|
| 1253 |
+
" --preq_group_size 32 \\\n",
|
| 1254 |
+
" --preq_embedding_quantize 8,0 \\\n",
|
| 1255 |
+
" --use_sdpa_with_kv_cache \\\n",
|
| 1256 |
+
" -kv \\\n",
|
| 1257 |
+
" -X \\\n",
|
| 1258 |
+
" --xnnpack-extended-ops \\\n",
|
| 1259 |
+
" -d fp32 \\\n",
|
| 1260 |
+
" --max_seq_length 2048 \\\n",
|
| 1261 |
+
" --max_context_length 2048 \\\n",
|
| 1262 |
+
" --output_name \"Llama-3.2-1B-Instruct-QLORA_INT4_EO8.pte\" \\\n",
|
| 1263 |
+
" --metadata '{\"get_bos_id\":128000, \"get_eos_ids\":[128009, 128001]}'"
|
| 1264 |
+
],
|
| 1265 |
+
"metadata": {
|
| 1266 |
+
"colab": {
|
| 1267 |
+
"base_uri": "https://localhost:8080/"
|
| 1268 |
+
},
|
| 1269 |
+
"id": "gXLuFtVVEZov",
|
| 1270 |
+
"outputId": "f6804426-aca7-4728-ed61-7bfb09c8b326"
|
| 1271 |
+
},
|
| 1272 |
+
"execution_count": 7,
|
| 1273 |
+
"outputs": [
|
| 1274 |
+
{
|
| 1275 |
+
"output_type": "stream",
|
| 1276 |
+
"name": "stdout",
|
| 1277 |
+
"text": [
|
| 1278 |
+
"[INFO 2025-04-10 15:18:38,244 utils.py:162] NumExpr defaulting to 2 threads.\n",
|
| 1279 |
+
"[INFO 2025-04-10 15:18:39,380 export_llama_lib.py:684] Applying quantizers: []\n",
|
| 1280 |
+
"Mixed dtype model. Dtype of layers.0.attention.wq.adaptor.A.weight: torch.bfloat16. Mismatches in the checkpoint: [('tok_embeddings.weight', torch.int8), ('tok_embeddings.scales', torch.float32), ('layers.0.attention.wq.weight', torch.int8), ('layers.0.attention.wq.scales', torch.float32), ('layers.0.attention.wk.weight', torch.int8), ('layers.0.attention.wk.scales', torch.float32), ('layers.0.attention.wv.weight', torch.int8), ('layers.0.attention.wv.scales', torch.float32), ('layers.0.attention.wo.weight', torch.int8), ('layers.0.attention.wo.scales', torch.float32), ('layers.0.feed_forward.w1.weight', torch.int8), ('layers.0.feed_forward.w1.scales', torch.float32), ('layers.0.feed_forward.w3.weight', torch.int8), ('layers.0.feed_forward.w3.scales', torch.float32), ('layers.0.feed_forward.w2.weight', torch.int8), ('layers.0.feed_forward.w2.scales', torch.float32), ('layers.1.attention.wq.weight', torch.int8), ('layers.1.attention.wq.scales', torch.float32), ('layers.1.attention.wk.weight', torch.int8), ('layers.1.attention.wk.scales', torch.float32), ('layers.1.attention.wv.weight', torch.int8), ('layers.1.attention.wv.scales', torch.float32), ('layers.1.attention.wo.weight', torch.int8), ('layers.1.attention.wo.scales', torch.float32), ('layers.1.feed_forward.w1.weight', torch.int8), ('layers.1.feed_forward.w1.scales', torch.float32), ('layers.1.feed_forward.w3.weight', torch.int8), ('layers.1.feed_forward.w3.scales', torch.float32), ('layers.1.feed_forward.w2.weight', torch.int8), ('layers.1.feed_forward.w2.scales', torch.float32), ('layers.2.attention.wq.weight', torch.int8), ('layers.2.attention.wq.scales', torch.float32), ('layers.2.attention.wk.weight', torch.int8), ('layers.2.attention.wk.scales', torch.float32), ('layers.2.attention.wv.weight', torch.int8), ('layers.2.attention.wv.scales', torch.float32), ('layers.2.attention.wo.weight', torch.int8), ('layers.2.attention.wo.scales', torch.float32), ('layers.2.feed_forward.w1.weight', torch.int8), ('layers.2.feed_forward.w1.scales', torch.float32), ('layers.2.feed_forward.w3.weight', torch.int8), ('layers.2.feed_forward.w3.scales', torch.float32), ('layers.2.feed_forward.w2.weight', torch.int8), ('layers.2.feed_forward.w2.scales', torch.float32), ('layers.3.attention.wq.weight', torch.int8), ('layers.3.attention.wq.scales', torch.float32), ('layers.3.attention.wk.weight', torch.int8), ('layers.3.attention.wk.scales', torch.float32), ('layers.3.attention.wv.weight', torch.int8), ('layers.3.attention.wv.scales', torch.float32), ('layers.3.attention.wo.weight', torch.int8), ('layers.3.attention.wo.scales', torch.float32), ('layers.3.feed_forward.w1.weight', torch.int8), ('layers.3.feed_forward.w1.scales', torch.float32), ('layers.3.feed_forward.w3.weight', torch.int8), ('layers.3.feed_forward.w3.scales', torch.float32), ('layers.3.feed_forward.w2.weight', torch.int8), ('layers.3.feed_forward.w2.scales', torch.float32), ('layers.4.attention.wq.weight', torch.int8), ('layers.4.attention.wq.scales', torch.float32), ('layers.4.attention.wk.weight', torch.int8), ('layers.4.attention.wk.scales', torch.float32), ('layers.4.attention.wv.weight', torch.int8), ('layers.4.attention.wv.scales', torch.float32), ('layers.4.attention.wo.weight', torch.int8), ('layers.4.attention.wo.scales', torch.float32), ('layers.4.feed_forward.w1.weight', torch.int8), ('layers.4.feed_forward.w1.scales', torch.float32), ('layers.4.feed_forward.w3.weight', torch.int8), ('layers.4.feed_forward.w3.scales', torch.float32), ('layers.4.feed_forward.w2.weight', torch.int8), ('layers.4.feed_forward.w2.scales', torch.float32), ('layers.5.attention.wq.weight', torch.int8), ('layers.5.attention.wq.scales', torch.float32), ('layers.5.attention.wk.weight', torch.int8), ('layers.5.attention.wk.scales', torch.float32), ('layers.5.attention.wv.weight', torch.int8), ('layers.5.attention.wv.scales', torch.float32), ('layers.5.attention.wo.weight', torch.int8), ('layers.5.attention.wo.scales', torch.float32), ('layers.5.feed_forward.w1.weight', torch.int8), ('layers.5.feed_forward.w1.scales', torch.float32), ('layers.5.feed_forward.w3.weight', torch.int8), ('layers.5.feed_forward.w3.scales', torch.float32), ('layers.5.feed_forward.w2.weight', torch.int8), ('layers.5.feed_forward.w2.scales', torch.float32), ('layers.6.attention.wq.weight', torch.int8), ('layers.6.attention.wq.scales', torch.float32), ('layers.6.attention.wk.weight', torch.int8), ('layers.6.attention.wk.scales', torch.float32), ('layers.6.attention.wv.weight', torch.int8), ('layers.6.attention.wv.scales', torch.float32), ('layers.6.attention.wo.weight', torch.int8), ('layers.6.attention.wo.scales', torch.float32), ('layers.6.feed_forward.w1.weight', torch.int8), ('layers.6.feed_forward.w1.scales', torch.float32), ('layers.6.feed_forward.w3.weight', torch.int8), ('layers.6.feed_forward.w3.scales', torch.float32), ('layers.6.feed_forward.w2.weight', torch.int8), ('layers.6.feed_forward.w2.scales', torch.float32), ('layers.7.attention.wq.weight', torch.int8), ('layers.7.attention.wq.scales', torch.float32), ('layers.7.attention.wk.weight', torch.int8), ('layers.7.attention.wk.scales', torch.float32), ('layers.7.attention.wv.weight', torch.int8), ('layers.7.attention.wv.scales', torch.float32), ('layers.7.attention.wo.weight', torch.int8), ('layers.7.attention.wo.scales', torch.float32), ('layers.7.feed_forward.w1.weight', torch.int8), ('layers.7.feed_forward.w1.scales', torch.float32), ('layers.7.feed_forward.w3.weight', torch.int8), ('layers.7.feed_forward.w3.scales', torch.float32), ('layers.7.feed_forward.w2.weight', torch.int8), ('layers.7.feed_forward.w2.scales', torch.float32), ('layers.8.attention.wq.weight', torch.int8), ('layers.8.attention.wq.scales', torch.float32), ('layers.8.attention.wk.weight', torch.int8), ('layers.8.attention.wk.scales', torch.float32), ('layers.8.attention.wv.weight', torch.int8), ('layers.8.attention.wv.scales', torch.float32), ('layers.8.attention.wo.weight', torch.int8), ('layers.8.attention.wo.scales', torch.float32), ('layers.8.feed_forward.w1.weight', torch.int8), ('layers.8.feed_forward.w1.scales', torch.float32), ('layers.8.feed_forward.w3.weight', torch.int8), ('layers.8.feed_forward.w3.scales', torch.float32), ('layers.8.feed_forward.w2.weight', torch.int8), ('layers.8.feed_forward.w2.scales', torch.float32), ('layers.9.attention.wq.weight', torch.int8), ('layers.9.attention.wq.scales', torch.float32), ('layers.9.attention.wk.weight', torch.int8), ('layers.9.attention.wk.scales', torch.float32), ('layers.9.attention.wv.weight', torch.int8), ('layers.9.attention.wv.scales', torch.float32), ('layers.9.attention.wo.weight', torch.int8), ('layers.9.attention.wo.scales', torch.float32), ('layers.9.feed_forward.w1.weight', torch.int8), ('layers.9.feed_forward.w1.scales', torch.float32), ('layers.9.feed_forward.w3.weight', torch.int8), ('layers.9.feed_forward.w3.scales', torch.float32), ('layers.9.feed_forward.w2.weight', torch.int8), ('layers.9.feed_forward.w2.scales', torch.float32), ('layers.10.attention.wq.weight', torch.int8), ('layers.10.attention.wq.scales', torch.float32), ('layers.10.attention.wk.weight', torch.int8), ('layers.10.attention.wk.scales', torch.float32), ('layers.10.attention.wv.weight', torch.int8), ('layers.10.attention.wv.scales', torch.float32), ('layers.10.attention.wo.weight', torch.int8), ('layers.10.attention.wo.scales', torch.float32), ('layers.10.feed_forward.w1.weight', torch.int8), ('layers.10.feed_forward.w1.scales', torch.float32), ('layers.10.feed_forward.w3.weight', torch.int8), ('layers.10.feed_forward.w3.scales', torch.float32), ('layers.10.feed_forward.w2.weight', torch.int8), ('layers.10.feed_forward.w2.scales', torch.float32), ('layers.11.attention.wq.weight', torch.int8), ('layers.11.attention.wq.scales', torch.float32), ('layers.11.attention.wk.weight', torch.int8), ('layers.11.attention.wk.scales', torch.float32), ('layers.11.attention.wv.weight', torch.int8), ('layers.11.attention.wv.scales', torch.float32), ('layers.11.attention.wo.weight', torch.int8), ('layers.11.attention.wo.scales', torch.float32), ('layers.11.feed_forward.w1.weight', torch.int8), ('layers.11.feed_forward.w1.scales', torch.float32), ('layers.11.feed_forward.w3.weight', torch.int8), ('layers.11.feed_forward.w3.scales', torch.float32), ('layers.11.feed_forward.w2.weight', torch.int8), ('layers.11.feed_forward.w2.scales', torch.float32), ('layers.12.attention.wq.weight', torch.int8), ('layers.12.attention.wq.scales', torch.float32), ('layers.12.attention.wk.weight', torch.int8), ('layers.12.attention.wk.scales', torch.float32), ('layers.12.attention.wv.weight', torch.int8), ('layers.12.attention.wv.scales', torch.float32), ('layers.12.attention.wo.weight', torch.int8), ('layers.12.attention.wo.scales', torch.float32), ('layers.12.feed_forward.w1.weight', torch.int8), ('layers.12.feed_forward.w1.scales', torch.float32), ('layers.12.feed_forward.w3.weight', torch.int8), ('layers.12.feed_forward.w3.scales', torch.float32), ('layers.12.feed_forward.w2.weight', torch.int8), ('layers.12.feed_forward.w2.scales', torch.float32), ('layers.13.attention.wq.weight', torch.int8), ('layers.13.attention.wq.scales', torch.float32), ('layers.13.attention.wk.weight', torch.int8), ('layers.13.attention.wk.scales', torch.float32), ('layers.13.attention.wv.weight', torch.int8), ('layers.13.attention.wv.scales', torch.float32), ('layers.13.attention.wo.weight', torch.int8), ('layers.13.attention.wo.scales', torch.float32), ('layers.13.feed_forward.w1.weight', torch.int8), ('layers.13.feed_forward.w1.scales', torch.float32), ('layers.13.feed_forward.w3.weight', torch.int8), ('layers.13.feed_forward.w3.scales', torch.float32), ('layers.13.feed_forward.w2.weight', torch.int8), ('layers.13.feed_forward.w2.scales', torch.float32), ('layers.14.attention.wq.weight', torch.int8), ('layers.14.attention.wq.scales', torch.float32), ('layers.14.attention.wk.weight', torch.int8), ('layers.14.attention.wk.scales', torch.float32), ('layers.14.attention.wv.weight', torch.int8), ('layers.14.attention.wv.scales', torch.float32), ('layers.14.attention.wo.weight', torch.int8), ('layers.14.attention.wo.scales', torch.float32), ('layers.14.feed_forward.w1.weight', torch.int8), ('layers.14.feed_forward.w1.scales', torch.float32), ('layers.14.feed_forward.w3.weight', torch.int8), ('layers.14.feed_forward.w3.scales', torch.float32), ('layers.14.feed_forward.w2.weight', torch.int8), ('layers.14.feed_forward.w2.scales', torch.float32), ('layers.15.attention.wq.weight', torch.int8), ('layers.15.attention.wq.scales', torch.float32), ('layers.15.attention.wk.weight', torch.int8), ('layers.15.attention.wk.scales', torch.float32), ('layers.15.attention.wv.weight', torch.int8), ('layers.15.attention.wv.scales', torch.float32), ('layers.15.attention.wo.weight', torch.int8), ('layers.15.attention.wo.scales', torch.float32), ('layers.15.feed_forward.w1.weight', torch.int8), ('layers.15.feed_forward.w1.scales', torch.float32), ('layers.15.feed_forward.w3.weight', torch.int8), ('layers.15.feed_forward.w3.scales', torch.float32), ('layers.15.feed_forward.w2.weight', torch.int8), ('layers.15.feed_forward.w2.scales', torch.float32), ('output.weight', torch.int8), ('output.scales', torch.float32)]\n",
|
| 1281 |
+
"Using QAT quantization.\n",
|
| 1282 |
+
"[INFO 2025-04-10 15:18:45,157 export_llama_lib.py:649] Checkpoint dtype: torch.bfloat16\n",
|
| 1283 |
+
"[INFO 2025-04-10 15:18:45,157 quantized_kv_cache.py:277] Replacing KVCache with CustomKVCache. This modifies the model in place.\n",
|
| 1284 |
+
"[INFO 2025-04-10 15:18:45,182 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",
|
| 1285 |
+
"[INFO 2025-04-10 15:18:45,183 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",
|
| 1286 |
+
"[INFO 2025-04-10 15:18:45,194 builder.py:173] Model after source transforms: Transformer(\n",
|
| 1287 |
+
" (tok_embeddings): QuantizedGroupEmbedding()\n",
|
| 1288 |
+
" (rope): Rope(\n",
|
| 1289 |
+
" (apply_rotary_emb): RotaryEmbedding()\n",
|
| 1290 |
+
" )\n",
|
| 1291 |
+
" (layers): ModuleList(\n",
|
| 1292 |
+
" (0-15): 16 x TransformerBlock(\n",
|
| 1293 |
+
" (attention): AttentionMHA(\n",
|
| 1294 |
+
" (wq): Int8DynActInt4WeightLinearLoRA(\n",
|
| 1295 |
+
" (adaptor): LoRAAdaptorLinear(\n",
|
| 1296 |
+
" (A): Linear(in_features=2048, out_features=16, bias=False)\n",
|
| 1297 |
+
" (B): Linear(in_features=16, out_features=2048, bias=False)\n",
|
| 1298 |
+
" )\n",
|
| 1299 |
+
" )\n",
|
| 1300 |
+
" (wk): Int8DynActInt4WeightLinearLoRA(\n",
|
| 1301 |
+
" (adaptor): LoRAAdaptorLinear(\n",
|
| 1302 |
+
" (A): Linear(in_features=2048, out_features=16, bias=False)\n",
|
| 1303 |
+
" (B): Linear(in_features=16, out_features=512, bias=False)\n",
|
| 1304 |
+
" )\n",
|
| 1305 |
+
" )\n",
|
| 1306 |
+
" (wv): Int8DynActInt4WeightLinearLoRA(\n",
|
| 1307 |
+
" (adaptor): LoRAAdaptorLinear(\n",
|
| 1308 |
+
" (A): Linear(in_features=2048, out_features=16, bias=False)\n",
|
| 1309 |
+
" (B): Linear(in_features=16, out_features=512, bias=False)\n",
|
| 1310 |
+
" )\n",
|
| 1311 |
+
" )\n",
|
| 1312 |
+
" (wo): Int8DynActInt4WeightLinearLoRA(\n",
|
| 1313 |
+
" (adaptor): LoRAAdaptorLinear(\n",
|
| 1314 |
+
" (A): Linear(in_features=2048, out_features=16, bias=False)\n",
|
| 1315 |
+
" (B): Linear(in_features=16, out_features=2048, bias=False)\n",
|
| 1316 |
+
" )\n",
|
| 1317 |
+
" )\n",
|
| 1318 |
+
" (rope): Rope(\n",
|
| 1319 |
+
" (apply_rotary_emb): RotaryEmbedding()\n",
|
| 1320 |
+
" )\n",
|
| 1321 |
+
" (kv_cache): CustomKVCache()\n",
|
| 1322 |
+
" (SDPA): SDPACustom()\n",
|
| 1323 |
+
" )\n",
|
| 1324 |
+
" (feed_forward): FeedForward(\n",
|
| 1325 |
+
" (w1): Int8DynActInt4WeightLinearLoRA(\n",
|
| 1326 |
+
" (adaptor): LoRAAdaptorLinear(\n",
|
| 1327 |
+
" (A): Linear(in_features=2048, out_features=16, bias=False)\n",
|
| 1328 |
+
" (B): Linear(in_features=16, out_features=8192, bias=False)\n",
|
| 1329 |
+
" )\n",
|
| 1330 |
+
" )\n",
|
| 1331 |
+
" (w2): Int8DynActInt4WeightLinearLoRA(\n",
|
| 1332 |
+
" (adaptor): LoRAAdaptorLinear(\n",
|
| 1333 |
+
" (A): Linear(in_features=8192, out_features=16, bias=False)\n",
|
| 1334 |
+
" (B): Linear(in_features=16, out_features=2048, bias=False)\n",
|
| 1335 |
+
" )\n",
|
| 1336 |
+
" )\n",
|
| 1337 |
+
" (w3): Int8DynActInt4WeightLinearLoRA(\n",
|
| 1338 |
+
" (adaptor): LoRAAdaptorLinear(\n",
|
| 1339 |
+
" (A): Linear(in_features=2048, out_features=16, bias=False)\n",
|
| 1340 |
+
" (B): Linear(in_features=16, out_features=8192, bias=False)\n",
|
| 1341 |
+
" )\n",
|
| 1342 |
+
" )\n",
|
| 1343 |
+
" )\n",
|
| 1344 |
+
" (attention_norm): RMSNorm()\n",
|
| 1345 |
+
" (ffn_norm): RMSNorm()\n",
|
| 1346 |
+
" )\n",
|
| 1347 |
+
" )\n",
|
| 1348 |
+
" (norm): RMSNorm()\n",
|
| 1349 |
+
" (output): Int8DynActInt8WeightLinear()\n",
|
| 1350 |
+
")\n",
|
| 1351 |
+
"[INFO 2025-04-10 15:18:45,227 builder.py:228] Exporting with:\n",
|
| 1352 |
+
"[INFO 2025-04-10 15:18:45,229 builder.py:229] inputs: (tensor([[2, 3, 4]]), {'input_pos': tensor([0])})\n",
|
| 1353 |
+
"[INFO 2025-04-10 15:18:45,229 builder.py:230] kwargs: None\n",
|
| 1354 |
+
"[INFO 2025-04-10 15:18:45,230 builder.py:231] dynamic shapes: ({1: <class 'executorch.extension.llm.export.builder.token_dim'>}, {'input_pos': {0: 1}})\n",
|
| 1355 |
+
"[INFO 2025-04-10 15:19:21,627 builder.py:262] Running canonical pass: RemoveRedundantTransposes\n",
|
| 1356 |
+
"[INFO 2025-04-10 15:19:21,791 export_llama_lib.py:755] Lowering model using following partitioner(s): \n",
|
| 1357 |
+
"[INFO 2025-04-10 15:19:21,791 export_llama_lib.py:757] --> XnnpackDynamicallyQuantizedPartitioner\n",
|
| 1358 |
+
"[INFO 2025-04-10 15:19:21,791 export_llama_lib.py:757] --> XnnpackPartitioner\n",
|
| 1359 |
+
"[INFO 2025-04-10 15:19:21,791 builder.py:348] Using pt2e [] to quantizing the model...\n",
|
| 1360 |
+
"[INFO 2025-04-10 15:19:21,791 builder.py:399] No quantizer provided, passing...\n",
|
| 1361 |
+
"[INFO 2025-04-10 15:19:21,792 builder.py:226] Re-exporting with:\n",
|
| 1362 |
+
"[INFO 2025-04-10 15:19:21,793 builder.py:229] inputs: (tensor([[2, 3, 4]]), {'input_pos': tensor([0])})\n",
|
| 1363 |
+
"[INFO 2025-04-10 15:19:21,793 builder.py:230] kwargs: None\n",
|
| 1364 |
+
"[INFO 2025-04-10 15:19:21,793 builder.py:231] dynamic shapes: ({1: <class 'executorch.extension.llm.export.builder.token_dim'>}, {'input_pos': {0: 1}})\n",
|
| 1365 |
+
"/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",
|
| 1366 |
+
" warnings.warn(\n",
|
| 1367 |
+
"[INFO 2025-04-10 15:27:34,732 builder.py:518] Required memory for activation in bytes: [0, 486891328]\n",
|
| 1368 |
+
"modelname: Llama-3.2-1B-Instruct-QLORA_INT4_EO8\n",
|
| 1369 |
+
"output_file: Llama-3.2-1B-Instruct-QLORA_INT4_EO8.pte\n",
|
| 1370 |
+
"[INFO 2025-04-10 15:27:58,585 utils.py:141] Saved exported program to Llama-3.2-1B-Instruct-QLORA_INT4_EO8.pte\n"
|
| 1371 |
+
]
|
| 1372 |
+
}
|
| 1373 |
+
]
|
| 1374 |
+
},
|
| 1375 |
+
{
|
| 1376 |
+
"cell_type": "markdown",
|
| 1377 |
+
"source": [],
|
| 1378 |
+
"metadata": {
|
| 1379 |
+
"id": "d_urCPkvEi98"
|
| 1380 |
+
}
|
| 1381 |
+
},
|
| 1382 |
+
{
|
| 1383 |
+
"cell_type": "code",
|
| 1384 |
+
"source": [
|
| 1385 |
+
"!mv /content/Llama-3.2-1B-Instruct-QLORA_INT4_EO8.pte /content/models/Llama-3.2-1B-Instruct-QLORA_INT4_EO8/"
|
| 1386 |
+
],
|
| 1387 |
+
"metadata": {
|
| 1388 |
+
"id": "XOAVJceLE68b"
|
| 1389 |
+
},
|
| 1390 |
+
"execution_count": 8,
|
| 1391 |
+
"outputs": []
|
| 1392 |
+
},
|
| 1393 |
+
{
|
| 1394 |
+
"cell_type": "markdown",
|
| 1395 |
+
"source": [
|
| 1396 |
+
"**Step 4: Upload to HF**"
|
| 1397 |
+
],
|
| 1398 |
+
"metadata": {
|
| 1399 |
+
"id": "-urRwR_iF0QX"
|
| 1400 |
+
}
|
| 1401 |
+
},
|
| 1402 |
+
{
|
| 1403 |
+
"cell_type": "code",
|
| 1404 |
+
"source": [
|
| 1405 |
+
"!huggingface-cli upload executorch-community/Llama-3.2-1B-Instruct-QLORA_INT4_EO8-ET /content/models/Llama-3.2-1B-Instruct-QLORA_INT4_EO8/ --exclude=\"*.pth\""
|
| 1406 |
+
],
|
| 1407 |
+
"metadata": {
|
| 1408 |
+
"colab": {
|
| 1409 |
+
"base_uri": "https://localhost:8080/"
|
| 1410 |
+
},
|
| 1411 |
+
"id": "9YvGfvgxF8sn",
|
| 1412 |
+
"outputId": "77261b89-7f7f-499a-e855-a577b1af6cb7"
|
| 1413 |
+
},
|
| 1414 |
+
"execution_count": 9,
|
| 1415 |
+
"outputs": [
|
| 1416 |
+
{
|
| 1417 |
+
"output_type": "stream",
|
| 1418 |
+
"name": "stdout",
|
| 1419 |
+
"text": [
|
| 1420 |
+
"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",
|
| 1421 |
+
"Start hashing 6 files.\n",
|
| 1422 |
+
"Finished hashing 6 files.\n",
|
| 1423 |
+
"Llama-3.2-1B-Instruct-QLORA_INT4_EO8.pte: 100% 1.18G/1.18G [00:30<00:00, 38.3MB/s]\n",
|
| 1424 |
+
"Removing 3 file(s) from commit that have not changed.\n",
|
| 1425 |
+
"https://huggingface.co/executorch-community/Llama-3.2-1B-Instruct-QLORA_INT4_EO8-ET/tree/main/.\n"
|
| 1426 |
+
]
|
| 1427 |
+
}
|
| 1428 |
+
]
|
| 1429 |
+
}
|
| 1430 |
+
]
|
| 1431 |
+
}
|