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Quick start to run Zephyr 7B Alpha on Google Colab"],"metadata":{"id":"oSK6YKSx6H7m"}},{"cell_type":"code","source":["# Install transformers from source - only needed for versions <= v4.34\n","%pip install git+https://github.com/huggingface/transformers.git\n","%pip install accelerate"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"BLsaLpLP6QSK","executionInfo":{"status":"ok","timestamp":1697467249232,"user_tz":-120,"elapsed":45974,"user":{"displayName":"Lewis Tunstall","userId":"11991259263375974384"}},"outputId":"1b15ee88-5414-485f-9264-109e3d92d267"},"execution_count":1,"outputs":[{"output_type":"stream","name":"stdout","text":["Collecting git+https://github.com/huggingface/transformers.git\n"," Cloning https://github.com/huggingface/transformers.git to /tmp/pip-req-build-1as3weby\n"," Running command git clone --filter=blob:none --quiet https://github.com/huggingface/transformers.git /tmp/pip-req-build-1as3weby\n"," Resolved 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/tmp/pip-ephem-wheel-cache-5k_mcupq/wheels/e7/9c/5b/e1a9c8007c343041e61cc484433d512ea9274272e3fcbe7c16\n","Successfully built transformers\n","Installing collected packages: safetensors, huggingface-hub, tokenizers, transformers\n","Successfully installed huggingface-hub-0.17.3 safetensors-0.4.0 tokenizers-0.14.1 transformers-4.35.0.dev0\n","Collecting accelerate\n"," Downloading accelerate-0.23.0-py3-none-any.whl (258 kB)\n","\u001b[2K \u001b[90mββββββββββββββββββββββββββββββββββββββββ\u001b[0m \u001b[32m258.1/258.1 kB\u001b[0m \u001b[31m4.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hRequirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from accelerate) (1.23.5)\n","Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from accelerate) (23.2)\n","Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from accelerate) (5.9.5)\n","Requirement already satisfied: pyyaml in 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/usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (3.3.0)\n","Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (3.4)\n","Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (2.0.6)\n","Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (2023.7.22)\n","Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.10.0->accelerate) (1.3.0)\n","Installing collected packages: accelerate\n","Successfully installed accelerate-0.23.0\n"]}]},{"cell_type":"markdown","source":["## Load dependencies"],"metadata":{"id":"YK6Ux0Xy7D4o"}},{"cell_type":"code","source":["import torch\n","from transformers import pipeline"],"metadata":{"id":"fLjPZ5ke6q8Y","executionInfo":{"status":"ok","timestamp":1697467265528,"user_tz":-120,"elapsed":15540,"user":{"displayName":"Lewis Tunstall","userId":"11991259263375974384"}}},"execution_count":2,"outputs":[]},{"cell_type":"markdown","source":["## Download model and load pipeline"],"metadata":{"id":"e1mBWABw7MAQ"}},{"cell_type":"code","source":["pipe = pipeline(\"text-generation\", model=\"HuggingFaceH4/zephyr-7b-alpha\", torch_dtype=torch.bfloat16, device_map=\"auto\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":610,"referenced_widgets":["af35743bd7cc4b2a9a9ac89166372f1f","cc8496246b9248ae8631168804de7374","0a9a7266561e40a991473c40721d1caa","83bb42e8a79446cfa6bdfb76284a2f2c","a3df2076447a4f5e8b777295f55c8fb4","cb54c0578558402bb0b8341999449b92","a76ea86b1887442e8828d1184f548b05","9659515b9831421d9464ffee29b2b87a","a08f5e40fb1e4662aa624e6feb3eddac","790926668e1e4c4ab390c0821529c3c1","d3b27018eaf34defa08ff8c0c09ef826","2f7c528ac4a846b3bd3f5b859c5937ce","779303ae3a504bc39e94c05bb41d6680","12b3162cbf9c4c3ba4f83f325341fc26","ed0a166c01104946b3768f827f9a92da","99f491f558e248abb4c7acc9deb28923","91eaa2a5525f4f51a111ad59dca862dd","70c24596219147189534ef2effd75212","e54d337cbae84671ba46d2fccf7241a5","586b2f72d4694e3c88f22131326378b6","3abcf30b8b7a49d480d80b43f7528f3b","030709c0956f400c9c61d9c5028a7b5a","c2e47ceae1d14da59867cc5653409e7e","07b3f2f9ab8e479489cfa96d8ced3f4c","5bd6352bb7bf4c2fa195c73d9b875ea7","02eab2611e47411eb957e42321093df2","4dec5009208844fc845d276f86c53ea2","cdde97c62f854f8f96a86957c4e67487","1fa0cf1349ed4f779a3f61f8f5be0f1e","f28f325a3aa24182856e5da82b565ddd","56e4af5782d54e9c8069444b34fc6b79","bbad101d94d64d3e8f47f2d22bf3096e","33f0fd3841ac42788e92041f2756df4a","6cf085e28dc444698da1fcb0671d5570","1d2644bfdfa1493bb682f9bf80e132be","d28ec950aa0d4c5b817e54172da5fb44","db47d15652ac4a51b85cbb0e1f49cffc","6148302fcdcd4eeea8770340bcdc4af5","09c91af5582f40d1b864a3f1a6728190","a3cc8c7cdec74aa3a42ae888fd12b813","0977d1f5e8f54ee1ae13509423b6a530","5695943f70204d65aac3d6a994fcac9c","8a2f7e2ba8254dd8929538d88c1be72e","e5981daa2da24c299dec59442d3cd3d9","5660194f98bd47f9a872fb3ba194e722","287f1b8059ff461580964d6765505048","6106c56288dc46fe812176811ede8154","faf9c3ef160d4772b6b4d74b928f8df8","ba143a50545a4c5588ffa381b3d86457","9d06d6845ae84d3ebfc61d1414c141ab","baae3ea716dc4c26bc1720f25b2eee60","c667c1db826741f0ae7e8954071b953e","89f63cd121554cbbb201cb999ac17515","6e0d6d6061924a9080e46924e0a185d5","4a73e20d2402485fa864b16e0cfe40e8","ebf0e040eeee4b2896f03f4c6eb2b297","b235c4229aa943759638c05f7ee365ce","111c3f38704d432b828946a63c909381","3671af40a3944553bff108497c34d656","ede441a2ff5a4970a9db369487dd91a6","92de8ec1a92a487eb872698185359a27","56dcdf86a9ad4342ac63a1d7c19bdbbd","fb49971dab3749bd854b68572fea4eb9","4c3b6bc4f4974714b7f0916908c1dfc3","c114c204fec84c88be602aba53cefa27","b7f6e0b0e9a5408ca8ab2a2c093c18bd","8950db7362044b0cb7a2df3f4a14ab96","51681304de6943ada122e5226a137a54","f7ab29ccdaa14f20a9236f073d46cc5b","d5d48ba443914e77b19dae2db44a2391","0c163e318223420588abe6f5983417f2","33acdf4834b64baaa72dbb5c355d581f","7c242694ca2e441bb23d67a1010051ba","f84bad5785e84fae84bdea480ecabe34","6b6cc7afc2d54920950863c1eacba2d9","631b976952c44ee4ba5c3a580b554bc3","40a2575e33c249d8983c96ab13ba1c87","64465e89b5084470a1300c230e4d6a0f","66f556e5045543d282cf6ec1b24e6a5d","557fc212f965425d9cad706e31b5de71","a3e402a256e1457caed5c73972707135","ac237b12560c4d2a869ff7c4997034f6","9c477bace9474894a4af4a49ffb1b597","1e94342bd4f34e16bba5277a1e287ea0","ee12e753e84b40f8b15a386726eeac74","67759890afa7429bad93af68f98bca8c","186d3c5f4a2a4ab3bb1ce46bdf4eaaa0","e00ff0abba05463495cf89b4206de6a6","f662cc7314f04fd9b87b90dca6fe2948","f382b51901ba4384bc57bdb041c33fe8","e2976b933e154328b6017b96e5a89f1b","41a77c99fbb34fdd8e8d81cec7bd1e52","60af0234884e4ba4bb3ca55357404002","5db617b2eac744cab52546adb89f2b2d","66bf1b86b6814d04bab8e602b4c6ab04","04881b0a754648a3b7b5d666c7140d3c","2f6c0d3758834b5784101e9dbb76d8b6","f703fe03badd4fd89769838d429633f6","f5cffec9621847f3985a6d9309462c9f","3dd92a9f64d042f8a14d70a81b6b5041","6fc843a6157f424f8f48ded39a0b6174","b9ad1baa021f471cbde376f215bb9553","8f70605a96e54bbab6b1700917721305","6be8aafb49574ea2b440d447cf068cc6","d23ef9ab6fe34a67bae69675d6092b21","2a581a92ccc24fb88091fe29ebb45dda","85073d535e8d4c698536ed2e4ccb49f0","ac447978846b452abd3eadfa71d0acf5","30c37aa38bab4a6cb2cae9f7cc86c9bf","2fd276b0f31449ca8cba6c8f641187e7","aedc6763d2024505a03eaa3057d530f7","4fe5bede20774d0682c76c551e3fe4cf","07d8f821c0654d068305616cc7e65169","07e3343d7bb24d22ab54362f414c3f87","e8c41663e554493e995d488b56acee6d","d2329f178afc4cac8314c5b120cd694e","af362e7bd14345b2bab2d354de07a237","2d6a220aadf14400aefff2c3e63118f0","2fabde383f33481e87e46a3ca6462c6a","47c679a4a0774d9192ada75fb82ca5bd","0f49cbe7bd0042a58c776be62e303f48","9f107fa9b45a403981e13e86ffadac33","ff835a6f8818434d9546e968621a40ac","d95ca54538494e9c94d7baf831b8100f","30f52c9064114bd29689c33374f35981","59d4cb163ff5411d8fbf08d2ac7d6841","ea027cd7d08643a49f2e7a9e6ad02c2c","312daf1f2dee4b60a56d3c4c0373faec","a2a98e37c0054522b87236c3e4ad77e7","1bbd28564a09472d9c2e56ef538b5cfc","4a7d22479bee4e9da3fb14d3bdc1a9fe","2aad5a8f58724b399bcadc2974270e87","6d0e1131adaa452e8e7e3552236c698a","9c69554d6cc4495aa5cc120ff5f0c1ef","a06a11658ec34c779b92d1b545564bf8","567b56683f2645539ade7409b0e2f8c2","47fb621ad3e3441d8bda17e151f330bf","4b5a4dc22f00478e88f65e97a90f7e16","57be6290c12d4d7bb24de94802a69675","b29459d2d8354e4c9f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Tunstall","userId":"11991259263375974384"}},"outputId":"c71db626-b8b0-471a-84a1-6e3c6e0e6179"},"execution_count":3,"outputs":[{"output_type":"display_data","data":{"text/plain":["Downloading (β¦)lve/main/config.json: 0%| | 0.00/628 [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"af35743bd7cc4b2a9a9ac89166372f1f"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading (β¦)fetensors.index.json: 0%| | 0.00/23.9k [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"2f7c528ac4a846b3bd3f5b859c5937ce"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading shards: 0%| | 0/8 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"c2e47ceae1d14da59867cc5653409e7e"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading (β¦)of-00008.safetensors: 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?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"169493fa776c4f32858d8ada28a9902e"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading (β¦)in/added_tokens.json: 0%| | 0.00/42.0 [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"1c5cd44fd3104f6fa612e10ac432826d"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading (β¦)cial_tokens_map.json: 0%| | 0.00/168 [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"0d01fc2a5894448ab26771ce4f4ed0fc"}},"metadata":{}},{"output_type":"stream","name":"stderr","text":["Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n"]}]},{"cell_type":"markdown","source":["## Prepare inputs"],"metadata":{"id":"heIH5UYR71Ui"}},{"cell_type":"code","source":["# Each message can have 1 of 3 roles: \"system\" (to provide initial instructions), \"user\", or \"assistant\". For inference, make sure \"user\" is the role in the final message.\n","messages = [\n"," {\n"," \"role\": \"system\",\n"," \"content\": \"You are a friendly chatbot who always responds in the style of a pirate.\",\n"," },\n"," {\"role\": \"user\", \"content\": \"How many helicopters can a human eat in one sitting?\"},\n","]\n","# We use the tokenizer's chat template to format each message - see https://huggingface.co/docs/transformers/main/en/chat_templating\n","prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)\n","print(prompt)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"UKcD_fy_7QYD","executionInfo":{"status":"ok","timestamp":1697467470454,"user_tz":-120,"elapsed":7,"user":{"displayName":"Lewis Tunstall","userId":"11991259263375974384"}},"outputId":"2d06cb56-dd95-42b9-e963-eece727a53cd"},"execution_count":4,"outputs":[{"output_type":"stream","name":"stderr","text":["Using sep_token, but it is not set yet.\n","Using cls_token, but it is not set yet.\n","Using mask_token, but it is not set yet.\n"]},{"output_type":"stream","name":"stdout","text":["<|system|>\n","You are a friendly chatbot who always responds in the style of a pirate</s>\n","<|user|>\n","How many helicopters can a human eat in one sitting?</s>\n","<|assistant|>\n","\n"]}]},{"cell_type":"markdown","source":["## Generate!"],"metadata":{"id":"20K8tYJo7_7b"}},{"cell_type":"code","source":["outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)\n","print(outputs[0][\"generated_text\"])"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"xc8RZR0b8Br2","executionInfo":{"status":"ok","timestamp":1697467523847,"user_tz":-120,"elapsed":47326,"user":{"displayName":"Lewis Tunstall","userId":"11991259263375974384"}},"outputId":"55bb1c98-345f-4d6b-9a31-a5b1560ab3d2"},"execution_count":5,"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py:1462: UserWarning: You have modified the pretrained model configuration to control generation. This is a deprecated strategy to control generation and will be removed soon, in a future version. Please use and modify the model generation configuration (see https://huggingface.co/docs/transformers/generation_strategies#default-text-generation-configuration )\n"," warnings.warn(\n"]},{"output_type":"stream","name":"stdout","text":["<|system|>\n","You are a friendly chatbot who always responds in the style of a pirate</s>\n","<|user|>\n","How many helicopters can a human eat in one sitting?</s>\n","<|assistant|>\n","Ahoy matey! Me be thinkin' that a human can't eat a helicopter, for it's not food, it's a flying machine. Me be confused by your question, but me can assure ye that a human can't eat a helicopter in one sitting!\n"]}]},{"cell_type":"code","source":[],"metadata":{"id":"OJKvdt1B8if0"},"execution_count":null,"outputs":[]}]} |