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"pZ0zodrFlV0C" }, "execution_count": 1, "outputs": [] }, { "cell_type": "code", "source": [ "from unsloth import FastLanguageModel\n", "import torch\n", "max_seq_length = 2048 # Choose any! We auto support RoPE Scaling internally!\n", "dtype = None # None for auto detection. Float16 for Tesla T4, V100, Bfloat16 for Ampere+\n", "load_in_4bit = True # Use 4bit quantization to reduce memory usage. Can be False.\n", "\n", "model, tokenizer = FastLanguageModel.from_pretrained(\n", " model_name = \"bbayrm0/lora_model\", # or choose \"unsloth/Llama-3.2-1B-Instruct\"\n", " max_seq_length = max_seq_length,\n", " dtype = dtype,\n", " load_in_4bit = load_in_4bit,\n", " # token = \"hf_...\", # use one if using gated models like meta-llama/Llama-2-7b-hf\n", ")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 365, "referenced_widgets": [ "9f81f90372724d6890298e757c24239d", "b70667c12cd24f838999c08e183e31a8", "a08e628d70444673be942bfa7bc7f242", "a18683ec50b1484c88f2d7b8655c2dc1", "1ab712a8c49f43409e2a89bb9af55a05", "86734e9e62c14f97865a72974d420400", "106f5e6298eb4e6d825033d9e80ef7bf", "357db76577c448caa19adfb62ef9fba9", "e34795a70a1b426b982ca73e6e3705e2", "fe9060e89a224d37a78a4376431d948a", "c222330691654a759d65f5159418643e", "9db8bfca02c844edaf86ec775b04999a", "2d4bc95c58154912852caa0b5e53cb05", "3f97bfbd8611482e95ee867342280ba7", "06dcebb409784c1383cfac5001c3128c", "d35ec6015d9b43edb926f1ce4c43917b", "5fb1e70e70774a6ca52822fd2e86235b", "54b279c8068b4abb8078f0d8244416d9", "e5333913160543a8883849e922fa0c13", "0fe8623e3fc04086b7f61ef8abcf9ab0", "ee4bb0a6185541f2bf0c010ad40ada55", "4afa147866684b65891a1ad9a98a4e78", "dfc97d8187384bc2b595a8a95c72b331", "3b7c1080b0bb49aa89c36712a0b4cc30", "436c05ba271848de9543c722d0d8ade2", "73049691e1324a1b9435427bed746e6c", "15237db4a142496e921f6ae4b4f6b72c", "a9920a47fb364739bd941a7a7c4a6984", "36319851eb474b3e91cf847551128deb", "48cf96d131ce42cebf003b67ceb74c4d", "a4b847b407c44334b3c6315c89f5d9d5", "62ed527cfe6e48c48a4b3ad5532546e9", "66d10f009cc3465ea202c99033b4920a", "b5833ff5fba544ffaf88d76d9e740208", "a0b17fbb4acb42c4b26013e498c1f587", "52213d18637849a9bf15b953b7e4f362", "26b51ef936e94c70b41c35fe8eac4f52", "b4f8e087e5c643e19a12558fb58ab83e", "a2f312038af64ac1bde95940ca66c33b", "a6f05b8cb64e417a96322efd2733a31c", "a5b93fb93415450b881d6d272219c837", "870bddf3d8b9484092c501c853655c65", "017bc19b06e14806b591fed010a9cf22", "11ef5442a8ee4a31934812d4ca50e02f", "a8d2fc4c648142c49f01fa08f8e5838f", "4241cffc266848ba9ff084e78ea1dea6", "c2258f1be144455182c621089eedae47", "a93993290fb341b0935b62ee99839df0", "d6b1e8585ea24872ab1f03d7b1a49eb3", "ae65897abb0e4575b07a7a1b38b2d7f5", "513a109af8fa48269f1482d53918da83", "3d7e7b263b1044ea89b92012df8442fd", "825726a1b1fa496c978c91178306166b", "58f7e16252b649c081c940f8749d8aaa", "ddde1e83007c46098cc391a8782e1f1d", "cac183c4d6974a9b807f5dd695e98c96", "2f41b32810c749258c5943fa565ba7da", "e56ec2f4247445789632038d924372c8", "1e19a5dd9b274dc78e741dcb52bf93c9", "41f15446dc61474aba288f487502ab46", "3305dc59ad2c47a4977ec7833cef1ec8", "1f53df5570ef4410a647151d90fc095e", "26e803feb54346d5944e9076b350fa56", "7f6950b0f2d14df19bcadff685d28563", "ff31babff90d483bae0e8d9961b97fb6", "f9fe0ba8619a4f2396d98ac700cb0689" ] }, "id": "_50Sa0tjqTB4", "outputId": "57106e1f-12ce-4d2e-ec7b-9ba2cfedc5d0" }, "execution_count": 2, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "🦥 Unsloth: Will patch your computer to enable 2x faster free finetuning.\n", "🦥 Unsloth Zoo will now patch everything to make training faster!\n", "==((====))== Unsloth 2025.8.10: Fast Llama patching. Transformers: 4.55.4.\n", " \\\\ /| Tesla T4. Num GPUs = 1. Max memory: 14.741 GB. Platform: Linux.\n", "O^O/ \\_/ \\ Torch: 2.8.0+cu126. CUDA: 7.5. CUDA Toolkit: 12.6. Triton: 3.4.0\n", "\\ / Bfloat16 = FALSE. FA [Xformers = 0.0.32.post2. FA2 = False]\n", " \"-____-\" Free 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: 0%| | 0.00/5.70G [00:00\n" ] } ] }, { "cell_type": "code", "source": [], "metadata": { "id": "TTqTYvgquMy4" }, "execution_count": null, "outputs": [] } ] }