{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "0c24ca36-1782-4ce8-8094-6f6528dada19", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 17, "referenced_widgets": [ "cc76cb84ae534b84a2e928aae296671b", "04ed4facb9784748800bada8b9e3ea03", "7b5f976e37854cf19d725c10c6d0b664", "b6341dbf8afe490a8249c47926a60b07", "3c491b00814e494b8e4b40698d2708bb", "1fff5f1768d14eabac19c52bc58cdee2", "b9c798dc64c74d37bab6f9c4e358f180", "13bd90f9a2d64384b2b336ae29a65723", "709a031aa90841df85c9a8fb2a6be864", "6351610ee56445fbbfed09abd4d7f69b", "00091305553f49e789b0c24f533fb726", "278541bf055b4bbc8983aa9cb44d84bc", "3e737088cf5f49bea6efd747920bf177", "92e02c27ee904ade903341ff2411b1f1", "a158db1d84de4ce6a6125d1ba508ffda", "0748f9e7460a44b19e0e7d19a9ff3640", "dc9ec1e3e76d411bb159fe5f2e20d17f", "aa2fd1343d964e0e8f7f322aa8c3dc89", "0d624b13bc5249f1b33c62215797f794", "e964afc8a8914cfea9836244335d206a" ] }, "id": "0c24ca36-1782-4ce8-8094-6f6528dada19", "outputId": "b77db9cc-a915-4fe7-b77d-b5bbe315ce01" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "VBox(children=(HTML(value='
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\u001b[31m14.4 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": "93369dcda8d7481fbfa23ec9ff7041e2" } }, "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-vxxu9d92\n", " Running command git clone --filter=blob:none --quiet https://github.com/unslothai/unsloth.git /tmp/pip-req-build-vxxu9d92\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=00b441a40c62c9eabac962179220844e2e0d05e0487819f207f5df8bba4445b8\n", " Stored in directory: /tmp/pip-ephem-wheel-cache-hbdy1otq/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": "21305b53-ff34-4179-e98f-1f33d7c4c17e" }, "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-ezot12kd\n", " Running command git clone --filter=blob:none --quiet https://github.com/unslothai/unsloth.git /tmp/pip-req-build-ezot12kd\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=e2a018351f02f406851739f583d40b2bad4325249bb8e80090271df30ea46646\n", " Stored in directory: /tmp/pip-ephem-wheel-cache-38n_6s4k/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": [ "75636f1359be48e0838d9740ae751503", "a74a775cf3824cb988bd0c20cf14ae1d", "eceaea7361a547e0ae610f799bd3612f", "72ec48159e4c49fbaa3f83b32d0c48f1", "d092a62dcc2545a8a280c04bf984d377", "bb8dd26827f74a26bea36819a6c71fde", "c5fbe0bd0a86481abd12b77ae80b503d", "e9c7c1a6e1744ddbbd17f1ec6d157a3e", "9732dbe045904a7a8f5a0efeb562c40a", "174e8456611c412b9f75a4678b89ca87", "54f51289d6454f8cad408a6257c284c3", "cdaa64d759ec4613806801f8975d9577", "5959b2068b09441bb9d6de1dc5ac83eb", "d2c15a85282f4b668eae689b38967a50", "8f4a5ec08d4044b2b2d337fe329d7402", "a751e9b5af4041e2b48a3c06e35ab5d5", "86c253a44f1b4aed9ee8db686313cd00", "aef41707645f421cb425fecb325eecd8", "7b73412bda744d11977a3e7a0e539e3a", "ed1b3195cace4e3eaa62eb11bc68452d", "813fe0c5060d4b798dd0154802f2e753", "9f750ee3335e4caf9ca24dc1db4b4330", "30e1763fd65d498f9ba7d5e271384371", "c70d6705c7d24bdc84a1965a8260e035", "15a58a41820f40008104bd16385bc0ad", "c70111e903114e18842958568e5fa990", "47229b981029403f9242ea637363f086", "2bc11178249e438fb4ba65a21ac08034", "b445bb6789144b94be7a8b4ca79bfa1c", "97f8b09b3dd646378d72dcb3c2e84706", "37891a04cfa04d9d92757e8032aaa391", "fa3a28d22c164c7ab7e1b672d4af57bd", "858817db4f9c467a985e2523d2323815", "f2d7f0cccfd849eaa00aee7ec8377ad4", "d6734ce5126f4fae8b4a1c0d4dd37f42", "68398606250448e3b1a2ba84cc5c658c", "e4371eb0259c4ebfae72ab23255d119e", "a445f8fef2b34c25a0ac1cefaf969fe0", "f395a15a82a8490aa95ab9c8cd2404c4", 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"cc5e317c356b49f3b5235465cb4c41e4", "af043049dc1444efa59a68268525eee8", "feab660d4c5a4bd9bcef9d0636abceac", "14b45320dfd04c488276ecb06df10c45", "c566e15c5241445f9f32c960acbf8032", "9c3d8c77c8b14375baa70c714ca198ff", "b28bfa6dee1e4941832569c6e77b8db7", "761c36a4d9f54b6b97247591fdd19098", "0ceac3bac8c64b81b0ab2057bd12f004", "e8c13a276bb54ca2a12e19f5b04f319a", "58963777155d46fdbda41002cf6a278d", "5c698f4ade48468b8bd4bdfd97680d0b", "1ae07e5ff6c14c64bbcfa8a866a04a0e", "400682fe058d4a1ea1d3e6219c417cbb", "679750ae05f34670af119b4758c2e8cb", "b7207bbceaf548fab68d7ab54b70f78f", "14d453c059424f2ca4ced4290e401990", "e9cd9ab0c6cd4ca6bc24b1d88bce04e7", "d272f711686542f49b99e00c307db919", "18adb88c31304eb795964df31712d93a", "f4e2bcf117b24b0cbf7fd94d99360bae", "88c25ee5bd6146889e472db5cb52c9a9", "9e121fcf400e402da2667c10b0be4b02", "2905bb2c65af46a7a3a7605f8ff27d7a", "4afc8d8300f144a3ae91016ccbe2bd26", "ec2b22f73acb4b97b6bbb367bc52f718", "c15deb4642e345f496b9d16a068d0fdb", "a09d289cad004797a612ea19271824e2", "dd9ad9a4bd274831b2d69786f1f08eac", "628f7c9dd06940ef8841c79974fe8567", "13f024ee64334a88926994f0aa6580a7", "bd672ed41f814045aa3ff7a8eb1bfe4c", "b585da986ffc4f179e5f122e0907a92d", "d9c35713305343faa066f8355de99637", "88ca02ff65924a77b7c07a35780aac4c", "fffe535b175a4f15b3e72c8cfbbfa1a0", "8d33a58e57fb4e0abf294a0cbf5ed35b", "31a53edfb15a48888bae634ce0d61954", "d857e9aaf020489d9f6cb2ba76edac69", "60c8e04906ed40a7902f73f582c1ac25", "24193ce47af54849abb85d0076652485", "7faa32e5012d4265802e06af69d2b4ea", "df911eddc8f8494d967ee3ae5cbc0d4e", "d606499b43354c9185ad144cda972051", "16b7ad152433413c8995902bd1ece5e1", "069fa8d758aa46959c054a9829fe4acc", "c9f13b0abd364b499de3763114bfb553", "f2ff7f89369b4ff1827bce12ac214cf4", "d0c039f106ad482ba2a60849b6210c98", "3b97b730af964a9e872c2b54d2256998", "05961e50a3864bd58c1a797bbd6237a4", "aa6a6e81db10427f961a9fc036b77fff", "5b1007796b7e4e00899d812372074078", "02ee0cbc91384f44bcd54574613fc2cb", "ef491e61218a48d39b53c36daf99a3d7", "7b18292be967476798b635ec3c32bf86", "67663dd090354a738296d0074f2e5b21", "bf1ebfb94be34911800fb40c5f85a79f", "6622ac996ed145639f0a79f2209f2a1e", "bdcbdcf4d96c4f33a887326bb75e6c52", "199b4a09219f47e18041723ac0fff5da", "0c28132d9ef84af9afedfc6a89db1625", "bcc2bf95100f4bf08f62b18daf1fc6a6", "8ed4659093c84e7593e318ed2ecaf1bd", "2679ead2df1c438486eef14af45871ee", "c07eb14da29443fcb4e33d0339944581", "2fe8bde3fa564d8387adf13159b126cb", "c5b3882ec6dd40a0aa026bf2af503e0d", "6efc33f589be4e75b595f521c074a857", "c988f6555e424736b63619faf7e3246b", "3de682be58214d5abeb92165c7aebab8", "e8024c15d0a54de0ac3c63d8df5e642f", "898b0d28efde4ae6a3756bd8dcb489e8", "a5c79524569b42a7838fb4c5a096bf6d", "ebc178bcebe54e0b8ecb78119eb2bc82", "cb86168f6e664ea89816b04586de6e96", "f6cbad9ee6ca455a81e43b170ae5666e", "df535651dba442ce9d63dec3d4f17da0", "0a8fcf070ca04d23afe4fa50bb373dd7", "bf28056557cf4b9ab9a4cf4a404a93e4", "a00844cba1164980ac48f3d1a6bb41dc", 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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 इसे इस प्रकार कर सकते 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: 0.0038\n", "Probability of 'B' at token 1: 0.0011\n", "Probability of 'C' at token 1: 0.0003\n", "Probability of 'D' at token 1: 0.0008\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": 8, "id": "1749c745-d1fb-430b-9469-4913bb2a6cb5", "metadata": { "id": "1749c745-d1fb-430b-9469-4913bb2a6cb5", "colab": { "base_uri": "https://localhost:8080/", "height": 376, "referenced_widgets": [ "110a52ce556b40da9691a232e3c6545b", "3719f68416d54c82b6e78a236e42f5fc", "ea4cfaf160d94301a97cbba8601a1980", "ddaeab8603a14e3181deffa24197b3f7", "061251b7f8e24d3daf435176f7b7074b", "8fcde58ad9ec43f0a0ce2f22c3f1fed7", "319aa45247a74e7688558c79e087579e", "cb09abb640c74513877c3e0b8baa58f1", "b84a6ba379754de0990bfbd886a4daf4", "adba9284851f43a8940a6093ed556c13", "d79f76f0e8fa4728a891cab5fb1c0564", "4ec23c54258346a59410c86b81a67251", "7df4ba89217245bf9722806c50a03d2c", "0bec6daadacf4583bcd5bf5155091dda", "098b7075661d4ceda38367bb8c45c64c", "be7e5668998841f8aeddbdd216f29d10", "6a767edb4d85488e8260bbe7a7009c60", "0d6f8f5b660a467da047bc5db4c5963a", "62b37882ba674db6bdbc432b1cfdd243", "8c0d32b81dec43e69fcdd11ff0c8ff77", "2efa6d7383fa43228dd1dd54165bdaf4", "b90dd95f62e84297947db5fb86080055" ] }, "outputId": "81cecdb9-0b0f-45b3-804b-cfc5a19df2cd" }, "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.
Immediately click login after copying\nyour token or it might be stored in plain text in this notebook file.
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