{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "0c24ca36-1782-4ce8-8094-6f6528dada19", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 17, "referenced_widgets": [ "47702a85f2374aa8a048b0e777fcb24a", "d3e87b4db0034fecafc67830b158f5ab", "b558124f75464336a3626bebde96e5f3", "285ce43af50c48e48014abb095c07c38", "9ac05c589b7f4b138db1dfc783b501c9", "4d70bba3b6f142aa8bbb3fccbf66682b", "2f16246cac224b4bac93de4c467dfec0", "9b351155b3914ea588cf3d74e8166c8e", "f8a396776a664cdd9b4b0f1b095aff44", "a6da16e1f9cf466fb610aa4e001a9e7a", "1eb7a1c12f8c411cb050a154cfb7ae0e", "efe0666d4f2440edbc2b11f0872a350b", "cb6d3e9966e84dec90122a787795a828", "b883f03ee4354621be87e409d2f70540", "33f2d7c21c4d45be8168c513f8c0cbba", "4130f5184ba646f99a2e2abb0a36b7a0", "09cb0d3b45f542b2b7b8a629a5e7e04f", "fe9a2f96a1c741f091627f190a76b515", "fe1be0e83c964930bfd88c8dc7583952", "26ede1a7e33f43088d50725991173176" ] }, "id": "0c24ca36-1782-4ce8-8094-6f6528dada19", "outputId": "d9b96ccd-d766-4bec-84d6-cec0be94b69b" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "VBox(children=(HTML(value='
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\u001b[31m19.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25hInstalling collected packages: xxhash, shtab, protobuf, hf_transfer, fsspec, dill, multiprocess, tyro, xformers, datasets, cut_cross_entropy, bitsandbytes, trl, unsloth_zoo, unsloth\n", " Attempting uninstall: protobuf\n", " Found existing installation: protobuf 4.25.6\n", " Uninstalling protobuf-4.25.6:\n", " Successfully uninstalled protobuf-4.25.6\n", " Attempting uninstall: fsspec\n", " Found existing installation: fsspec 2024.10.0\n", " Uninstalling fsspec-2024.10.0:\n", " Successfully uninstalled fsspec-2024.10.0\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", "grpcio-status 1.62.3 requires protobuf>=4.21.6, but you have protobuf 3.20.3 which is incompatible.\n", "tensorflow-metadata 1.16.1 requires protobuf<6.0.0dev,>=4.25.2; python_version >= \"3.11\", but you have protobuf 3.20.3 which is incompatible.\n", "gcsfs 2024.10.0 requires fsspec==2024.10.0, but you have fsspec 2024.9.0 which is incompatible.\u001b[0m\u001b[31m\n", "\u001b[0mSuccessfully installed bitsandbytes-0.45.1 cut_cross_entropy-25.1.1 datasets-3.2.0 dill-0.3.8 fsspec-2024.9.0 hf_transfer-0.1.9 multiprocess-0.70.16 protobuf-3.20.3 shtab-1.7.1 trl-0.13.0 tyro-0.9.13 unsloth-2025.1.6 unsloth_zoo-2025.1.5 xformers-0.0.29.post1 xxhash-3.5.0\n" ] }, { "output_type": "display_data", "data": { "application/vnd.colab-display-data+json": { "pip_warning": { "packages": [ "google" ] }, "id": "560c500910134f55a5b1e913b1193b66" } }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "Collecting git+https://github.com/unslothai/unsloth.git\n", " Cloning https://github.com/unslothai/unsloth.git to /tmp/pip-req-build-rfpwch0y\n", " Running command git clone --filter=blob:none --quiet https://github.com/unslothai/unsloth.git /tmp/pip-req-build-rfpwch0y\n", " Resolved https://github.com/unslothai/unsloth.git to commit bdf0cd6033595be4e7ed23d0d002bb176d343152\n", " 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", "Building wheels for collected packages: unsloth\n", " Building wheel for unsloth (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", " Created wheel for unsloth: filename=unsloth-2025.1.7-py3-none-any.whl size=174896 sha256=ef0e3c478d090f4b6851862cc599ffcceec7f61086566ef4814cf3142ebdd57c\n", " Stored in directory: /tmp/pip-ephem-wheel-cache-7ktydid7/wheels/d1/17/05/850ab10c33284a4763b0595cd8ea9d01fce6e221cac24b3c01\n", "Successfully built unsloth\n", "Installing collected packages: unsloth\n", " Attempting uninstall: unsloth\n", " Found existing installation: unsloth 2025.1.6\n", " Uninstalling unsloth-2025.1.6:\n", " Successfully uninstalled unsloth-2025.1.6\n", "Successfully installed unsloth-2025.1.7\n" ] } ] }, { "cell_type": "code", "execution_count": 3, "id": "50190966-b741-47c4-915e-43c81fd1413a", "metadata": { "id": "50190966-b741-47c4-915e-43c81fd1413a", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "6def36c3-55c1-4f94-c3f6-a1887505e6d7" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Requirement already satisfied: datasets in /usr/local/lib/python3.11/dist-packages (3.2.0)\n", "Requirement already satisfied: tqdm in /usr/local/lib/python3.11/dist-packages (4.67.1)\n", "Requirement already satisfied: filelock in /usr/local/lib/python3.11/dist-packages (from datasets) (3.17.0)\n", "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.11/dist-packages (from datasets) (1.26.4)\n", "Requirement already satisfied: pyarrow>=15.0.0 in /usr/local/lib/python3.11/dist-packages (from datasets) (17.0.0)\n", "Requirement already satisfied: dill<0.3.9,>=0.3.0 in /usr/local/lib/python3.11/dist-packages (from datasets) (0.3.8)\n", "Requirement already satisfied: pandas in /usr/local/lib/python3.11/dist-packages (from datasets) (2.2.2)\n", "Requirement already satisfied: requests>=2.32.2 in /usr/local/lib/python3.11/dist-packages (from datasets) (2.32.3)\n", "Requirement already satisfied: xxhash in /usr/local/lib/python3.11/dist-packages (from datasets) (3.5.0)\n", "Requirement already satisfied: multiprocess<0.70.17 in /usr/local/lib/python3.11/dist-packages (from datasets) (0.70.16)\n", "Requirement already satisfied: fsspec<=2024.9.0,>=2023.1.0 in /usr/local/lib/python3.11/dist-packages (from fsspec[http]<=2024.9.0,>=2023.1.0->datasets) (2024.9.0)\n", "Requirement already satisfied: aiohttp in /usr/local/lib/python3.11/dist-packages (from datasets) (3.11.11)\n", "Requirement already satisfied: huggingface-hub>=0.23.0 in /usr/local/lib/python3.11/dist-packages (from datasets) (0.27.1)\n", "Requirement already satisfied: packaging in /usr/local/lib/python3.11/dist-packages (from datasets) (24.2)\n", "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.11/dist-packages (from datasets) (6.0.2)\n", "Requirement already satisfied: aiohappyeyeballs>=2.3.0 in /usr/local/lib/python3.11/dist-packages (from aiohttp->datasets) (2.4.4)\n", "Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.11/dist-packages (from aiohttp->datasets) (1.3.2)\n", "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.11/dist-packages (from aiohttp->datasets) (24.3.0)\n", "Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.11/dist-packages (from aiohttp->datasets) (1.5.0)\n", "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.11/dist-packages (from aiohttp->datasets) (6.1.0)\n", "Requirement already satisfied: propcache>=0.2.0 in /usr/local/lib/python3.11/dist-packages (from aiohttp->datasets) (0.2.1)\n", "Requirement already satisfied: yarl<2.0,>=1.17.0 in /usr/local/lib/python3.11/dist-packages (from aiohttp->datasets) (1.18.3)\n", "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.11/dist-packages (from huggingface-hub>=0.23.0->datasets) (4.12.2)\n", "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.11/dist-packages (from requests>=2.32.2->datasets) (3.4.1)\n", "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.11/dist-packages (from requests>=2.32.2->datasets) (3.10)\n", "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.11/dist-packages (from requests>=2.32.2->datasets) (2.3.0)\n", "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.11/dist-packages (from requests>=2.32.2->datasets) (2024.12.14)\n", "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.11/dist-packages (from pandas->datasets) (2.8.2)\n", "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.11/dist-packages (from pandas->datasets) (2024.2)\n", "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.11/dist-packages (from pandas->datasets) (2025.1)\n", "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.11/dist-packages (from python-dateutil>=2.8.2->pandas->datasets) (1.17.0)\n", "Requirement already satisfied: unsloth in /usr/local/lib/python3.11/dist-packages (2025.1.7)\n", "Collecting git+https://github.com/unslothai/unsloth.git\n", " Cloning https://github.com/unslothai/unsloth.git to /tmp/pip-req-build-ak5vrwrk\n", " Running command git clone --filter=blob:none --quiet https://github.com/unslothai/unsloth.git /tmp/pip-req-build-ak5vrwrk\n", " Resolved https://github.com/unslothai/unsloth.git to commit bdf0cd6033595be4e7ed23d0d002bb176d343152\n", " 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", "Building wheels for collected packages: unsloth\n", " Building wheel for unsloth (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", " Created wheel for unsloth: filename=unsloth-2025.1.7-py3-none-any.whl size=174896 sha256=5d3cf53156a67e7e061631f274ef3b3200e4062d509e7b7a5f9b5f6a53ad0299\n", " Stored in directory: /tmp/pip-ephem-wheel-cache-vga350tr/wheels/d1/17/05/850ab10c33284a4763b0595cd8ea9d01fce6e221cac24b3c01\n", "Successfully built unsloth\n", "Installing collected packages: unsloth\n", " Attempting uninstall: unsloth\n", " Found existing installation: unsloth 2025.1.7\n", " Uninstalling unsloth-2025.1.7:\n", " Successfully uninstalled unsloth-2025.1.7\n", "Successfully installed unsloth-2025.1.7\n" ] } ], "source": [ "!pip install datasets tqdm\n", "!pip install unsloth\n", "!pip install --force-reinstall --no-cache-dir --no-deps git+https://github.com/unslothai/unsloth.git" ] }, { "cell_type": "code", "execution_count": 4, "id": "fbc9900d-28d2-4bda-9848-b572fbe778d2", "metadata": { "id": "fbc9900d-28d2-4bda-9848-b572fbe778d2", "colab": { "base_uri": "https://localhost:8080/", "height": 1000, "referenced_widgets": [ "97983759ce1f482e80eb162860d80905", "b3c69f00edf94e3da104d2ac0c962ff5", "3bb21abbcf6a46efa3712a23acad6cde", "73460dcffa3045749cc3e62b30f48ea5", "81b80c5ea8e948b59423b43eb3d1be1c", "41ddbb87715840b8b760f65467366d7b", "ff0ceacdbc2e45af9744c4bf44115a65", "7a8592fd69fd410e97ab5561a24fe4bf", "1f6bb265e44f4568ad702bbcc60a7139", "2ed5bfb264194879960cbfb6ceadeee7", "e8a6e0134a8344a9965adc2352dc58d8", "fb3f30837273438081e06247e16a3550", "8915d056047e40de8dfdc6862c2f77d5", "51090dec04e64151aa4488b89f0bc43f", "9ef4d30abf69428c86deff13690b3805", "76901bb0d34844b3bcc1637ef59c06c9", "e1f89954352a40c2b05c61565915572e", "88ff0604935d43ea867b6ee6f3b4dc19", "6ca1ace411d94a87b9ab7eef7715e3bf", "392c5a90969641a0865edd03f98234a8", "6d934b2115744942b7c8c840b364f920", "9bc0bcb2312648ed80773d58d8fcabb2", "26a09d36a6c74a97abc37b8e71d0ea11", "dc4ec48cc3c342b9895ba31574001775", "033fc58f5a0b4ea1bd739fa17ca1fe5e", "d7e848604af94157a5d4bad7b1cc7506", "13f43de681d54bb0bc87e52bf016ab21", "964ad2aef6fd46c8b42faacbeb19e31c", "5f559779850442b6b4ffcad3bfba2aa9", "82f57d73dd574cd7bfc5522030799094", "66fc6ef09640435187ced53d641d761e", "0c18dbf366dc463e98d5ebf10ad5a7f9", "5300c4bf19214bb1a29cd0e66a2a1387", "52a7b72386594da4a9bee372c2786ca6", "5c7693b3d0f54bbb8bf5d393904e47c4", "c46def50608149fa99db1f63a557ba39", "1d2d31d24fdc4629b5533315c522107a", "58b0c56b846c421bade0e9d77a75386c", "ce4c46c9c29f458687e84661f3ad7964", 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"8eacc496682947aebc6bfdeec7cbdaf6", "fc5a9ac3c9ea4ce98ff2f0000393043c", "6fc8ab0204994d51bb34811806c71890", "ef850f27ed454912afe4bdc36f7b1746", "a55047ec901b4b53898b70bb8b62f352", "f56d10e7cf9b4f42904ebefba83d9743", "a972031c405f4a6e88301e5af558617c", "0c3250e3a505411892a4434ce4f9d4b1", "c58f2838da8541b0bbd8581fc2d7ac79", "66c38db936ae4af8b203b1637c718113", "f1bb6cfb1ed04d2faa92b99d5494e523", "bab7921e36bb4f37ba4e8dace3994609", "fa4f9aa59912414ab5be23858c447ade", "f904d5e4282b4602937bbf173565b8b8", "a9a5173a095a4750987fd709776d6ab9", "92b45ab4663b4d1594da79630312bbd7", "6ab6d71e49144df8a55ddc4e6a83f58f", "ca2819704111476fb38033d1e170cbe2", "34b21e817f45429fa165309931d35578", "3a42fb2f4f464d4293aef87b082ec5e7", "86d78b7e60a0439c9d52570badb93e68", "3c73656b782a44f2aa4eb2cdd5d4ddc6", "9fdad79a84f34651bc79ec952edae918", "c4fa208026754128a8f90af0adf11497", "1529856a5fcb42c5aff65057b7ea22ba", "148a02dd87c442fea8f45520a3f264c2", "96c39260f5ef4b688386a1b8c3d0607c", "2f8b716239374074b440f9b5efb263d2", "1069247d0b8344ceaa823161cfb40c70", "274f75b99e9a4e9f8906177ecd0fc761", "879c98be056b4487a39522ec174dce6e", "ec20b7a621934c5f98ae6f726b78a194", "446312d12de146d793266d7428de5b57", "14adbddae1724c209743555621863a3e", "9fe992763e604fa78237a9fe5e76836e", "b2dd22ed282e48349a019943d76ee458", "7622a89b2ef847d1a7ae2271b2bb23f9", "51914528915a449b946489765fa00f9c", "93900f862b604a33aec737456925075d", "490bf26165d242f1872950ab95d4c7d6", "0c67b3acc3b0408080e149c07f91b7f9", "07bb6b397f034a3ca5bbd510c4e6bd07", "15111a3e7223476082f58382eb17eb7b", "d1f40419c5ef47cbbac924c353a9a90b", "aeeb41b9d304465480c9d369461425f1", "45895dedc7f344ffad81293bc9b1ad03", "53850fccb5ac4672a76fec59c9e6b5c6", "99c269ff15834486ae01d06ca0530854", "3f2412a79afc4136bc70648a964608a3", "2d67d6cf4dcc42cbaaac7d3e9e59eb7a", "8aea6c99d4714d7883291ff91b2258d5", "eeb50e333072466a9e97891af461845c", "e3629ea24465420aa29f7d14f3252391", "44b563c4d79f4062bcfe6246de9e07eb", 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Transformers: 4.47.1.\n", " \\\\ /| GPU: NVIDIA A100-SXM4-40GB. Max memory: 39.564 GB. Platform: Linux.\n", "O^O/ \\_/ \\ Torch: 2.5.1+cu121. CUDA: 8.0. CUDA Toolkit: 12.1. Triton: 3.1.0\n", "\\ / Bfloat16 = TRUE. FA [Xformers = 0.0.29.post1. FA2 = False]\n", " \"-____-\" Free Apache license: http://github.com/unslothai/unsloth\n", "Unsloth: Fast downloading is enabled - ignore downloading bars which are red colored!\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "model.safetensors.index.json: 0%| | 0.00/29.9k [00:00 user <|im_sep|> ### INPUT : जोड़ें 46,911 + 653,092 ### A) 699,903 B) 700,003 C) 913,203 D) 1,122,202 ### MCQ ### RESPONSE : <|im_start|> assistant <|im_sep|> जोड़ने के लिए 46,911 और 653,092 को, हम इस प्रकार करते हैं:\n", "\n", "```\n", " 46,911\n", "+653,092\n", "---------\n", " 700,003\n", "```\n", "\n", "इसलिए, सही उत्तर है B) 700,003.\n", "\n", "Probability of 'A' at token 1: 0.0017\n", "Probability of 'B' at token 1: 0.0006\n", "Probability of 'C' at token 1: 0.0002\n", "Probability of 'D' at token 1: 0.0006\n", "Probability of 'A' at token 2: 0.0000\n", "Probability of 'B' at token 2: 0.0000\n", "Probability of 'C' at token 2: 0.0000\n", "Probability of 'D' at token 2: 0.0000\n", "Probability of 'A' at token 3: 0.0000\n", "Probability of 'B' at token 3: 0.0000\n", "Probability of 'C' at token 3: 0.0000\n", "Probability of 'D' at token 3: 0.0000\n" ] } ] }, { "cell_type": "markdown", "source": [ "#**ARC CHALLENGE ENGLISH**" ], "metadata": { "id": "7Al9PZfU2bhu" }, "id": "7Al9PZfU2bhu" }, { "cell_type": "code", "execution_count": 7, "id": "1749c745-d1fb-430b-9469-4913bb2a6cb5", "metadata": { "id": "1749c745-d1fb-430b-9469-4913bb2a6cb5", "colab": { "base_uri": "https://localhost:8080/", "height": 376, "referenced_widgets": [ "220891f1dac54bc596757e3d705e20f3", "0d71b7f8ca79416988968f42be229a6d", "9fafdb37a7be492988a355b8f7523227", "b4038bf6eef94cdb88b96c90e57b27cf", "5ef6e7865fd549228bed41aed28b0c61", "24ef4e3881ec47f58753127e6ed78dea", "2a45b66402a34ed1a9915c3327189d9a", "2f26c1b04dc042c0b4dbc2ab86270151", "ee1f28fa8fb7482c9b2bd65172904043", "c3e4f246e4044c7cbd0fa5f0f6ac54ed", "865adc10ba6d4774af2740d1b4595e0c", "ca900b64057b41259fcee0e089c5febd", "3686e39347b5442e8bafd98ee5284e98", "7b844573d95644cf8a76357780ae2ab9", "332fe759de4b4111b267cad87bf34818", "eeb2803e282346f4b0761658782dbb37", "856bc03c26fd441d93a7c711541f8c1b", "fb1706084e664f56a67e9da3a24c5ebf", "e81c9fd41bdf487fad444bfcdea021ef", "ffcb90d54fbe4b5da9a7852087974bfe", "0e745f91e64c44e49221b436d49dc770", "b3301eb08ce54172becf3995737fdfe8" ] }, "outputId": "024f7792-624a-4d6b-e473-42ff957a3419" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "ARC_Challenge_E.csv: 0%| | 0.00/367k [00:00
Copy a token from your Hugging Face\ntokens page and paste it below.
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