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If you have newer torch versions, please wait 30 minutes!\n","!uv pip install --no-build-isolation mamba_ssm==2.2.5 causal_conv1d==1.5.2\n","!uv pip install --no-deps --upgrade \"torchao>=0.16.0\""],"metadata":{"id":"eYGWCNIuBj13"},"execution_count":null,"outputs":[]},{"cell_type":"code","execution_count":null,"metadata":{"id":"-NhWL6ntBSV_"},"outputs":[],"source":["# from google.colab import files\n","\n","# uploaded = files.upload()"]},{"cell_type":"code","source":["from google.colab import drive\n","drive.mount('/content/drive')"],"metadata":{"id":"KX0G-wnMHLY_","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1781526038230,"user_tz":-330,"elapsed":26276,"user":{"displayName":"Ravi R","userId":"06353650660974763333"}},"outputId":"a46f485c-f07c-4491-b80f-94a583e21749"},"execution_count":13,"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n"]}]},{"cell_type":"code","source":["!unzip -o /content/drive/MyDrive/unsloth/granite_python_lora.zip"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"gTHnPxXuBTWc","executionInfo":{"status":"ok","timestamp":1781526081037,"user_tz":-330,"elapsed":9143,"user":{"displayName":"Ravi R","userId":"06353650660974763333"}},"outputId":"3b2b1715-a218-4aef-e8d4-25315c882222"},"execution_count":14,"outputs":[{"output_type":"stream","name":"stdout","text":["Archive:  /content/drive/MyDrive/unsloth/granite_python_lora.zip\n","   creating: colab/\n","  inflating: colab/merges.txt        \n","  inflating: colab/tokenizer.json    \n","  inflating: colab/chat_template.jinja  \n","  inflating: colab/adapter_model.safetensors  \n","  inflating: colab/special_tokens_map.json  \n","  inflating: colab/adapter_config.json  \n","  inflating: colab/vocab.json        \n","  inflating: colab/tokenizer_config.json  \n"]}]},{"cell_type":"code","source":["!ls -lh /content/colab"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"5wCeTBF5Bmhb","executionInfo":{"status":"ok","timestamp":1781526095709,"user_tz":-330,"elapsed":111,"user":{"displayName":"Ravi R","userId":"06353650660974763333"}},"outputId":"5b444455-5e08-46b4-bea3-0dd78095b1df"},"execution_count":15,"outputs":[{"output_type":"stream","name":"stdout","text":["total 387M\n","-rw-rw-r-- 1 root root 1.6K Jun 15 10:56 adapter_config.json\n","-rw-rw-r-- 1 root root 378M Jun 15 10:57 adapter_model.safetensors\n","-rw-rw-r-- 1 root root 6.0K Jun 15 10:54 chat_template.jinja\n","-rw-rw-r-- 1 root root 896K Jun 15 10:54 merges.txt\n","-rw-rw-r-- 1 root root  579 Jun 15 10:55 special_tokens_map.json\n","-rw-rw-r-- 1 root root  18K Jun 15 10:55 tokenizer_config.json\n","-rw-rw-r-- 1 root root 6.9M Jun 15 10:55 tokenizer.json\n","-rw-rw-r-- 1 root root 1.6M Jun 15 10:55 vocab.json\n"]}]},{"cell_type":"code","source":["from unsloth import FastLanguageModel\n","\n","model, tokenizer = FastLanguageModel.from_pretrained(\n","    model_name=\"ibm-granite/granite-4.1-8b\",\n","    max_seq_length=4096,\n","    load_in_4bit=True,\n",")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":572,"referenced_widgets":["fdd9ee7393bc4183b71b99065018b625","9f58d1d166644354ac006408f65f31d6","eae6e74e8b884d7e983d0198fa3c34c3","bce63c12083d44348940369462099a38","344605a0fdb046549dd5b2a5abe7e1aa","f9e4359756884a67b2c28c8000d1e19c","13d7eca0a58c44b5be6968aa7ea69a0b","5487038b38ba430dbb70e296b4ea3621","a0dca664e01943fd952fa4897ea25762","7cf5267cf346470e91f68345a0a5ff38","866e48d99927450db56c4b645167e922","93e1dd4190604aa39180d32aabada006","c840b1c30771493ca40af6d1681d5f8c","c3a26aa33c1b4bcfb2b2a00b4b1f0e03","b1c7e05201974acfa4a1b2310952a315","829c48029102429f90189d8788074a68","da6ac29d628c4b2ab0a13ec6fbbd2c97","ef098aeccb6c4a9a86500843ca602127","170111845e96414a8e2e68fd5836eda4","ca2d5433763c4bdf8440393b9eb83389","2dd2955af76949a3bf0fef08e470981c","3dcd774218eb4dff99b16f88be514d40","1e9af21a11814117a7e2fa1a81c1d484","4f93c6c758944e3a850caeb9ac5c1cea","450c867969d1421a8069a7c8178b2706","b2af0682194a45d2906c87642f0c8b11","84a2d9da3b514f32b3fcddcdb3bfd781","87e66b84e4b043c0b47acd49403389b4","f409ca2f2ac14bc187bf1442dcb33dee","d206838ed2704feca26f03997fed94db","e49eb5507a39472fa36e2e1143c057d9","13d2ca76788a4db9b1201f1183839b1f","0be48d9633544e2bb1994f6529299899","62032d2ba4f74e41a780eaa2ae328d73","581a0a13b03f402f8d4c62b276826a83","f8d71f0203834d2e802e1b00db235608","aa554c9e64154e06b2b66277ddbdc88e","0e119efbb954402aab1863ca7ddacdd4","d651745b91054f25bf6dd60f9296a658","746907c5680c4f9a8fae6fab86389e1e","4c6cc84862184ceb96446bb415e959b4","885724dbee004366bd484ef5cc87fbf4","3937ba188b1b4015adfa86e26ddc79db","984774c020144d23bf8c4b4cabcd5b54","607bdd01dbfa4f78b832b4b99b7acbd6","60c6ac269422446eb6fccd88610b54d0","6bb7d89fad5043abaab8338ca59bb085","0054c9f5d67e466d970c96d79d0b731b","16a91396b6b2470d90bdf2437d1fe480","b947029519f64ed3a9a069da48b9e20d","21e2688c8db442069d5a2ec05e4f3de5","87b8d3465b2f4262bdcc73a5226f9c28","6ab6ab84536a4a8598d7b6797b3754b8","68c7c75b750d4af48d05d173a27ba19b","9e7dbe32ce164b038434471e71e6943b","b374bdde619647e395164a93fbfc30f5","73879c7727064bc6837487cd1561b70e","fe2a01b80fd04c63b3b4d53f9de1a1fc","03a12417aedd49b3ba9540e5cda379d9","a65d4c2c10004544839d3ef17bcfbdfa","71370c91e4ea46ccb31990b1be3d0357","19ce671c3b7e43638b01721cce1fdf7f","498406c0e3174c89a66df1cf64020ab1","253b2d45878744d6ae944d010feb8396","3c01174940ff4f459fd214a131ec794e","2527014e2d0d4f95b3ae8833bb8f4ef0","0c9bc4f84a7947e5a0026d4a00b70906","3d866eec493a42b0a8dbbeb6f0d34bf9","7432f821d9f04eb588bbcc51c8a01e64","223a5a35b23740a39c4451c5652413f8","132d7a0a37594147a882b3ba04b37991","ba17e0ad19d34657a22179276795ad6d","8254712534b944c28fb4a284988c4e9c","75edda91c17d439d9ac87418246bd8c9","4af378d4f7cc4cb897a00cb86af852b5","af64790e7d37423c8d91b131b9dcd53a","aa1757256ebf46c79ac1469d4f7c587c","99cb54f5052a437aafed4edf05fc07da","c36189fbd07f4c9685e92d6fec6b6c21","3ea58f334aa745ac8b3dda4464f57c4b","29c99c18dfbc4a97b1d8ac35362e92cb","d6c57d7d8b254a22bed321b68c2eca49","c864441ffc5e40c486e148b68bc1865d","20c1d57b217c42bfb0cb7ee1d5e7fc0b","e1beecdebc48461c8901e1ae0daf189e","eaaafaa9e8594f04bef5d5cd082282e1","2d0a8dcfef8b4dbdb6929a552292ab98","d5a1883048624decb164674734c0968f","28d7e8b5e7b74975af9c90e1ae87a54d","2a008191f7534ed1a8b9da0823695f6b","e72c0d0b5afa494380bd597509822ef2","9ae19f52119d436d988bddbf8de81c7c","4bc40cd8ff624e9da711fc76f7c56035","21b772e7ddb540d5bd2c9db590d578eb","303a5a07bfc64a7b88f7323eafa56816","a0660ee7e97a4db7bd64a9bf31034007","85f9ba1d682c4c2195e7ec8c8659aca8","5b77b077538c43c39ad611349536bf85","64acdfdc05dd4fe899fdb84f8209533d","bddf70970c514f7c9f9d0031e1df828e","6a2a4a4b157849a696f60811ef21b4f9","4fecfd005c634e51af57759ab4f0f740","2988416f54c146079c413a6ef18acf92","f24f2c5f45d0402aab97c9b8e6335d89","575f79a858dc478c97fcda667d99ef17","09a7c39b23854a52afb03c5aef43d35e","eee6b221ce364df39f12f286bdbcba37","02a33323799a4c4da13faf9eeb89dfba","563101a695204d0e8f4c970aa96c68ee","cf79f16afcc5443cba02507c6535fa3c","e234b9192c6343b4a7c5f45728a8a2bd","2260ba429ad44bbea5b6f6ce9798072d","b9be0bdefc564cada3dc26f82905985c","b16202e46d3f4ac1a82762c7097637e7","28f60534bfa94bbaaabe1759c471fddf","49ef9dc6adfb4f3783bf7035fdfc91d1","3fb0d246f29b424899a9fb46ea61d3ec","4a8e19f4d3bf458eaf4ede006bb5e786","dbd561f23ddb4192b5bc9ec9697976b1","40badd4c5bf3478b85fdb3a7c11fd983","6a0b2d1cea7c41d0b13ec0bcb79ca8df","f45b516db31f43ce947a18026ae49282","1f1e9fb3f1e1401bb3c30766d91284c9","a7e75ca863aa47beba7b16c38b6feadb","4300fdf4149f4dc3ac80be4127608dc5","eda668c6816b4ffdb38d6fcf2c50d75d","a9d9d37573724bf0ad98bcdf0897b759","839f225de9124791b376b16714caaf0b","0e210511648b42e4ba2489db6c755354","393de8256d3d481caf2c8f6379ecb20c","2c4d3da2856746e8a6b0634a908f8ec7","444aa00438c84f29b7e07880b8674781","497edbf8db994d3fb3cfb5ee5a94d1b2","62510878f1014bdf83a3cb96c6c8d6df","401817353da74ec88f48842c59a6ad1e","b0ff8fd9d0f845bcb3080f745ecedca7","01d2ba95690549f9814ac43192bb09a9","87c1411874ea47a8acec4f064436d505","b5c88ea44d794f8dab66d0583034da09","21b77d0809ac4ed0b9d44a4dfe379bde","30c044d97899431cbb650d1350733776","96b59480a57d407fb3ec1e4646fb0747","2056f8364654418b9898a21c4cf5ca94"]},"id":"QAjy1JXDBmbv","executionInfo":{"status":"ok","timestamp":1781523763463,"user_tz":-330,"elapsed":287559,"user":{"displayName":"Ravi R","userId":"06353650660974763333"}},"outputId":"50937ffb-97f1-4cfd-ad86-f6deb35c034b"},"execution_count":null,"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 2026.6.7: Fast Granite patching. Transformers: 4.56.2.\n","   \\\\   /|    Tesla T4. Num GPUs = 1. Max memory: 14.563 GB. Platform: Linux.\n","O^O/ \\_/ \\    Torch: 2.7.1+cu126. CUDA: 7.5. CUDA Toolkit: 12.6. Triton: 3.3.1\n","\\        /    Bfloat16 = FALSE. FA [Xformers = None. 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.index.json: 0.00B [00:00, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"fdd9ee7393bc4183b71b99065018b625"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["model-00001-of-00004.safetensors:   0%|          | 0.00/4.83G [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"93e1dd4190604aa39180d32aabada006"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["model-00002-of-00004.safetensors:   0%|          | 0.00/4.99G [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"1e9af21a11814117a7e2fa1a81c1d484"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["model-00003-of-00004.safetensors:   0%|          | 0.00/4.97G [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"62032d2ba4f74e41a780eaa2ae328d73"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["model-00004-of-00004.safetensors:   0%|          | 0.00/2.79G [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"607bdd01dbfa4f78b832b4b99b7acbd6"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Loading checkpoint shards:   0%|          | 0/4 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"b374bdde619647e395164a93fbfc30f5"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["generation_config.json:   0%|          | 0.00/147 [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"0c9bc4f84a7947e5a0026d4a00b70906"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["tokenizer_config.json: 0.00B [00:00, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"99cb54f5052a437aafed4edf05fc07da"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["vocab.json: 0.00B [00:00, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"28d7e8b5e7b74975af9c90e1ae87a54d"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["merges.txt: 0.00B [00:00, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"bddf70970c514f7c9f9d0031e1df828e"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["tokenizer.json: 0.00B [00:00, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"e234b9192c6343b4a7c5f45728a8a2bd"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["special_tokens_map.json:   0%|          | 0.00/579 [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"f45b516db31f43ce947a18026ae49282"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["chat_template.jinja: 0.00B [00:00, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"497edbf8db994d3fb3cfb5ee5a94d1b2"}},"metadata":{}}]},{"cell_type":"code","source":["!df -h"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"VJ2xrNyoGdb2","executionInfo":{"status":"ok","timestamp":1781523930694,"user_tz":-330,"elapsed":131,"user":{"displayName":"Ravi R","userId":"06353650660974763333"}},"outputId":"769dfaa7-ffa3-4c65-e456-89bd61d80e69"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Filesystem      Size  Used Avail Use% Mounted on\n","overlay         113G   72G   42G  64% /\n","tmpfs            64M     0   64M   0% /dev\n","shm             5.7G   24K  5.7G   1% /dev/shm\n","/dev/root       2.0G  1.3G  696M  65% /usr/sbin/docker-init\n","/dev/sda1       119G   75G   45G  63% /kaggle/input\n","tmpfs           6.4G  660K  6.4G   1% /var/colab\n","tmpfs           6.4G     0  6.4G   0% /proc/acpi\n","tmpfs           6.4G     0  6.4G   0% /proc/scsi\n","tmpfs           6.4G     0  6.4G   0% /sys/firmware\n"]}]},{"cell_type":"code","source":["!du -sh ~/.cache/huggingface"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"qYLZC_wXGwvA","executionInfo":{"status":"ok","timestamp":1781526101879,"user_tz":-330,"elapsed":110,"user":{"displayName":"Ravi R","userId":"06353650660974763333"}},"outputId":"e13d3ba7-59bc-495f-9c10-0206b1ab3dec"},"execution_count":16,"outputs":[{"output_type":"stream","name":"stdout","text":["du: cannot access '/root/.cache/huggingface': No such file or directory\n"]}]},{"cell_type":"code","source":["!rm -rf ~/.cache/huggingface\n","# !rm -rf unsloth_compiled_cache\n","# !rm -rf unsloth_training_checkpoints"],"metadata":{"id":"nh84w6HkGm3E","executionInfo":{"status":"ok","timestamp":1781526103117,"user_tz":-330,"elapsed":114,"user":{"displayName":"Ravi R","userId":"06353650660974763333"}}},"execution_count":17,"outputs":[]},{"cell_type":"code","source":["!unzip -o /content/granite_python_lora.zip"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"dKZUcaL4PCm3","executionInfo":{"status":"ok","timestamp":1781526267086,"user_tz":-330,"elapsed":137,"user":{"displayName":"Ravi R","userId":"06353650660974763333"}},"outputId":"b7e60e62-9290-4cfd-9678-9843fe4e4663"},"execution_count":23,"outputs":[{"output_type":"stream","name":"stdout","text":["Archive:  /content/granite_python_lora.zip\n","warning [/content/granite_python_lora.zip]:  1048576 extra bytes at beginning or within zipfile\n","  (attempting to process anyway)\n","file #1:  bad zipfile offset (local header sig):  1048576\n","  (attempting to re-compensate)\n","error: invalid zip file with overlapped components (possible zip bomb)\n"]}]},{"cell_type":"code","source":["!ls -lh /content/colab"],"metadata":{"id":"5LCVfCx0IAe3","executionInfo":{"status":"ok","timestamp":1781526110961,"user_tz":-330,"elapsed":110,"user":{"displayName":"Ravi R","userId":"06353650660974763333"}},"outputId":"d0d8486b-1688-4aae-abdd-72d47383eb08","colab":{"base_uri":"https://localhost:8080/"}},"execution_count":19,"outputs":[{"output_type":"stream","name":"stdout","text":["total 387M\n","-rw-rw-r-- 1 root root 1.6K Jun 15 10:56 adapter_config.json\n","-rw-rw-r-- 1 root root 378M Jun 15 10:57 adapter_model.safetensors\n","-rw-rw-r-- 1 root root 6.0K Jun 15 10:54 chat_template.jinja\n","-rw-rw-r-- 1 root root 896K Jun 15 10:54 merges.txt\n","-rw-rw-r-- 1 root root  579 Jun 15 10:55 special_tokens_map.json\n","-rw-rw-r-- 1 root root  18K Jun 15 10:55 tokenizer_config.json\n","-rw-rw-r-- 1 root root 6.9M Jun 15 10:55 tokenizer.json\n","-rw-rw-r-- 1 root root 1.6M Jun 15 10:55 vocab.json\n"]}]},{"cell_type":"code","source":["model.load_adapter(\"colab\")\n","\n","print(\"LoRA loaded successfully!\")"],"metadata":{"id":"9p0lwh4TBtuG","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1781526298081,"user_tz":-330,"elapsed":1676,"user":{"displayName":"Ravi R","userId":"06353650660974763333"}},"outputId":"c33760ad-336d-4b20-f5ae-fa73a52512d1"},"execution_count":24,"outputs":[{"output_type":"stream","name":"stdout","text":["LoRA loaded successfully!\n"]}]},{"cell_type":"code","source":["FastLanguageModel.for_inference(model)\n","\n","messages = [\n","    {\n","        \"role\": \"user\",\n","        \"content\": \"Write a Python function to find duplicates in a list.\"\n","    }\n","]\n","\n","inputs = tokenizer.apply_chat_template(\n","    messages,\n","    tokenize=True,\n","    add_generation_prompt=True,\n","    return_tensors=\"pt\",\n","    return_dict=True,\n",").to(\"cuda\")\n","\n","outputs = model.generate(\n","    **inputs,\n","    max_new_tokens=256,\n","    do_sample=False,\n",")\n","\n","input_length = inputs[\"input_ids\"].shape[1]\n","\n","response = tokenizer.decode(\n","    outputs[0][input_length:],\n","    skip_special_tokens=True\n",")\n","\n","print(response)"],"metadata":{"id":"IsgVm65IBwAt","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1781526343876,"user_tz":-330,"elapsed":35357,"user":{"displayName":"Ravi R","userId":"06353650660974763333"}},"outputId":"82da5b53-86ed-4887-90a7-01cddde2cf80"},"execution_count":25,"outputs":[{"output_type":"stream","name":"stdout","text":["def find_duplicates(lst):\n","    \"\"\"\n","    Find duplicates in a list.\n","\n","    Args:\n","        lst (list): The list to search for duplicates.\n","\n","    Returns:\n","        list: A list of duplicate elements.\n","    \"\"\"\n","    duplicates = []\n","    seen = set()\n","    for item in lst:\n","        if item in seen:\n","            duplicates.append(item)\n","        else:\n","            seen.add(item)\n","    return duplicates\n"]}]},{"cell_type":"code","source":["model.save_pretrained_gguf(\n","    \"granite_python_q4\",\n","    tokenizer,\n","    quantization_method=\"q4_k_m\"\n",")"],"metadata":{"id":"acXzwN09Bv41","colab":{"base_uri":"https://localhost:8080/","height":735,"referenced_widgets":["6126a46423f84893b01cc367302c01d5","d680a5d0243244ad89f21c4b8d0f0b10","ef5c74d0bbf34997936c94e28e4be9bf","60778059acd043c3a88c8227e607ae1a","1d7f0804ea5f4725883fc31e58c6ee67","3afbb8a3ea114cef8be510eaaff9754c","e17d7a7daf7d4d3284ca8fbfe8cd0330","5b0425631277415e93d64aae8f190758","3c3919f44b144a1a91e4bc1688898465","b62d889a1b6e466097f2e82a44d09b1a","391ce724e17a45e98b30a8c7431b5aba"]},"executionInfo":{"status":"error","timestamp":1781526370022,"user_tz":-330,"elapsed":21131,"user":{"displayName":"Ravi R","userId":"06353650660974763333"}},"outputId":"8ff98052-0d08-4eee-9445-9c4f11158231"},"execution_count":26,"outputs":[{"output_type":"stream","name":"stdout","text":["Unsloth: Model is not a PEFT model. Saving directly without LoRA merge...\n"]},{"output_type":"display_data","data":{"text/plain":["config.json:   0%|          | 0.00/803 [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"6126a46423f84893b01cc367302c01d5"}},"metadata":{}},{"output_type":"stream","name":"stdout","text":["Unsloth: Converting to GGUF format...\n","==((====))==  Unsloth: Conversion from HF to GGUF information\n","   \\\\   /|    [0] Installing llama.cpp might take 3 minutes.\n","O^O/ \\_/ \\    [1] Converting HF to GGUF f16 might take 3 minutes.\n","\\        /    [2] Converting GGUF f16 to ['q4_k_m'] might take 10 minutes each.\n"," \"-____-\"     In total, you will have to wait at least 16 minutes.\n","\n","Unsloth: Installing llama.cpp. This might take 3 minutes...\n","Unsloth: Installing prebuilt llama.cpp b9642 (llama-b9642-bin-ubuntu-x64.tar.gz) - skipping compilation.\n","Unsloth: Preparing converter script...\n","Unsloth: [1] Converting model into f16 GGUF format.\n","This might take 3 minutes...\n"]},{"output_type":"error","ename":"RuntimeError","evalue":"Unsloth: GGUF conversion failed: Unsloth: `config.json` does not exist inside `granite_python_q4`.","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mRuntimeError\u001b[0m                              Traceback (most recent call last)","\u001b[0;32m/usr/local/lib/python3.12/dist-packages/unsloth/save.py\u001b[0m in \u001b[0;36munsloth_save_pretrained_gguf\u001b[0;34m(self, save_directory, tokenizer, quantization_method, first_conversion, push_to_hub, token, private, is_main_process, state_dict, save_function, max_shard_size, safe_serialization, variant, save_peft_format, tags, temporary_location, maximum_memory_usage)\u001b[0m\n\u001b[1;32m   2328\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2329\u001b[0;31m         all_file_locations, want_full_precision, is_vlm_update = save_to_gguf(\n\u001b[0m\u001b[1;32m   2330\u001b[0m             \u001b[0mmodel_name\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmodel_name\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.12/dist-packages/unsloth/save.py\u001b[0m in \u001b[0;36msave_to_gguf\u001b[0;34m(model_name, model_type, model_dtype, is_sentencepiece, model_directory, quantization_method, first_conversion, is_vlm, is_gpt_oss)\u001b[0m\n\u001b[1;32m   1471\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1472\u001b[0;31m         initial_files, is_vlm_update = convert_to_gguf(\n\u001b[0m\u001b[1;32m   1473\u001b[0m             \u001b[0mmodel_name\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmodel_name\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.12/dist-packages/unsloth_zoo/llama_cpp.py\u001b[0m in \u001b[0;36mconvert_to_gguf\u001b[0;34m(model_name, input_folder, model_dtype, quantization_type, converter_location, supported_text_archs, supported_vision_archs, is_vlm, is_gpt_oss, max_shard_size, print_output, print_outputs)\u001b[0m\n\u001b[1;32m   2119\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexists\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconfig_file\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2120\u001b[0;31m         \u001b[0;32mraise\u001b[0m \u001b[0mRuntimeError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"Unsloth: `config.json` does not exist inside `{input_folder}`.\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2121\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mRuntimeError\u001b[0m: Unsloth: `config.json` does not exist inside `granite_python_q4`.","\nDuring handling of the above exception, another exception occurred:\n","\u001b[0;31mRuntimeError\u001b[0m                              Traceback (most recent call last)","\u001b[0;32m/tmp/ipykernel_1841/2320302829.py\u001b[0m in \u001b[0;36m<cell line: 0>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m model.save_pretrained_gguf(\n\u001b[0m\u001b[1;32m      2\u001b[0m     \u001b[0;34m\"granite_python_q4\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m     \u001b[0mtokenizer\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m     \u001b[0mquantization_method\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"q4_k_m\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m )\n","\u001b[0;32m/usr/local/lib/python3.12/dist-packages/unsloth/save.py\u001b[0m in \u001b[0;36munsloth_save_pretrained_gguf\u001b[0;34m(self, save_directory, tokenizer, quantization_method, first_conversion, push_to_hub, token, private, is_main_process, state_dict, save_function, max_shard_size, safe_serialization, variant, save_peft_format, tags, temporary_location, maximum_memory_usage)\u001b[0m\n\u001b[1;32m   2347\u001b[0m             )\n\u001b[1;32m   2348\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2349\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mRuntimeError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"Unsloth: GGUF conversion failed: {e}\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2350\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2351\u001b[0m     \u001b[0;31m# Step 9: Create Ollama modelfile\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mRuntimeError\u001b[0m: Unsloth: GGUF conversion failed: Unsloth: `config.json` does not exist inside `granite_python_q4`."]}]},{"cell_type":"code","source":["!find granite_python_q4 -name \"*.gguf\""],"metadata":{"id":"03oYYfxRBtol"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["from google.colab import files\n","\n","files.download(\n","    \"granite_python_q4/granite-4.1-8b.Q4_K_M.gguf\"\n",")"],"metadata":{"id":"IGR0r0jHB1Jr"},"execution_count":null,"outputs":[]}]}