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quantization, distillation or pruning.\n", + "Home-page: https://github.com/lyogavin/Anima/tree/main/air_llm\n", + "Author: Gavin Li\n", + "Author-email: gavinli@animaai.cloud\n", + "License: \n", + "Location: /usr/local/lib/python3.10/dist-packages\n", + "Requires: accelerate, huggingface-hub, optimum, safetensors, scipy, torch, tqdm, transformers\n", + "Required-by: \n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "!cp ./*.py /usr/local/lib/python3.10/dist-packages/airllm/" + ], + "metadata": { + "id": "5ILXGzUNEMOk" + }, + "execution_count": 3, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "!pip install bitsandbytes" + ], + "metadata": { + "id": "4hswl_tqEwNI", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "29a6610b-4df3-44f6-eef6-88f863539476" + }, + "execution_count": 4, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Collecting bitsandbytes\n", + " Downloading bitsandbytes-0.41.3.post2-py3-none-any.whl (92.6 MB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m92.6/92.6 MB\u001b[0m \u001b[31m5.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hInstalling collected packages: bitsandbytes\n", + "Successfully installed bitsandbytes-0.41.3.post2\n" + ] + } + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000, + "referenced_widgets": [ + "d18e28108a31409dbd4afed315b588ec", + "1eda55d1f5ab429b9f45eb8dac1a80c8", + "7b2eec937ffb402c8b8d76084e03f055", + "ea366f7242304275adfa79dc0ddb8e63", + "a116ede820d3409d897e8a43f9b2dd31", + "6580e21631544ab290555331d8f1ae1f", + "8ecf00a51d50402a8d2f77c8db3fd7a0", + "81350ebf6d9b47bca74a158f621d5362", + "9351b3646d934c448f154f6fb10305bd", + "8e47e6f4eff54733a05d9ee360b130cb", + "3353b0f15e1c45189750c49062753a0e", + "7a6c4e88d8664e0aa2146fd5cfe1eab1", + 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"56927d1b80704ea5820cae70a187ed43" + ] + }, + "id": "lsrJVVu9C_eT", + "outputId": "a94c04f7-8c0a-4cd4-9a89-419dce33e257" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + ">>>> bitsandbytes installed\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "config.json: 0%| | 0.00/625 [00:00 I like to think of'" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "string" + } + }, + "metadata": {}, + "execution_count": 5 + } + ], + "source": [ + "from airllm import AutoModel\n", + "\n", + "MAX_LENGTH = 128\n", + "# could use hugging face model repo id:\n", + "model = AutoModel.from_pretrained(\"garage-bAInd/Platypus2-7B\", compression='4bit' )\n", + "\n", + "input_text = [\n", + " #'What is the capital of China?',\n", + " 'I like',\n", + " ]\n", + "\n", + "input_tokens = model.tokenizer(input_text,\n", + " return_tensors=\"pt\",\n", + " return_attention_mask=False,\n", + " truncation=True,\n", + " max_length=MAX_LENGTH,\n", + " #padding=True\n", + " )\n", + "\n", + "generation_output = model.generate(\n", + " input_tokens['input_ids'].cuda(),\n", + " max_new_tokens=3,\n", + " use_cache=True,\n", + " return_dict_in_generate=True)\n", + "\n", + "model.tokenizer.decode(generation_output.sequences[0])" + ] + } + ] +} \ No newline at end of file