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{
"cells": [
{
"cell_type": "code",
"execution_count": 3,
"id": "f316df6e-3718-4db2-a856-9869af26a279",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting transformers==4.32.0\n",
" Downloading transformers-4.32.0-py3-none-any.whl (7.5 MB)\n",
"\u001b[K |████████████████████████████████| 7.5 MB 14.2 MB/s eta 0:00:01\n",
"\u001b[?25hRequirement already satisfied: safetensors>=0.3.1 in /home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages (from transformers==4.32.0) (0.3.3)\n",
"Requirement already satisfied: tokenizers!=0.11.3,<0.14,>=0.11.1 in /home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages (from transformers==4.32.0) (0.13.3)\n",
"Requirement already satisfied: packaging>=20.0 in /home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages (from transformers==4.32.0) (23.1)\n",
"Requirement already satisfied: regex!=2019.12.17 in /home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages (from transformers==4.32.0) (2023.8.8)\n",
"Requirement already satisfied: tqdm>=4.27 in /home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages (from transformers==4.32.0) (4.66.1)\n",
"Requirement already satisfied: pyyaml>=5.1 in /home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages (from transformers==4.32.0) (6.0)\n",
"Requirement already satisfied: numpy>=1.17 in /home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages (from transformers==4.32.0) (1.25.2)\n",
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"Requirement already satisfied: requests in /home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages (from transformers==4.32.0) (2.31.0)\n",
"Requirement already satisfied: typing-extensions>=3.7.4.3 in /home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages (from huggingface-hub<1.0,>=0.15.1->transformers==4.32.0) (4.7.1)\n",
"Requirement already satisfied: fsspec in /home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages (from huggingface-hub<1.0,>=0.15.1->transformers==4.32.0) (2023.6.0)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages (from requests->transformers==4.32.0) (2.0.4)\n",
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"Installing collected packages: transformers\n",
" Attempting uninstall: transformers\n",
" Found existing installation: transformers 4.33.1\n",
" Uninstalling transformers-4.33.1:\n",
" Successfully uninstalled transformers-4.33.1\n",
"Successfully installed transformers-4.32.0\n",
"Requirement already satisfied: bitsandbytes==0.41.1 in /home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages (0.41.1)\n",
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"Requirement already satisfied: packaging>=20.0 in /home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages (from peft==0.5.0) (23.1)\n",
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"Requirement already satisfied: transformers in /home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages (from peft==0.5.0) (4.32.0)\n",
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"Requirement already satisfied: nvidia-nvtx-cu11==11.7.91 in /home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages (from torch>=1.13.0->peft==0.5.0) (11.7.91)\n",
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"Requirement already satisfied: nvidia-cudnn-cu11==8.5.0.96 in /home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages (from torch>=1.13.0->peft==0.5.0) (8.5.0.96)\n",
"Requirement already satisfied: nvidia-cusparse-cu11==11.7.4.91 in /home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages (from torch>=1.13.0->peft==0.5.0) (11.7.4.91)\n",
"Requirement already satisfied: triton==2.0.0 in /home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages (from torch>=1.13.0->peft==0.5.0) (2.0.0)\n",
"Requirement already satisfied: nvidia-cuda-runtime-cu11==11.7.99 in /home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages (from torch>=1.13.0->peft==0.5.0) (11.7.99)\n",
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"Requirement already satisfied: requests in /home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages (from transformers->peft==0.5.0) (2.31.0)\n",
"Requirement already satisfied: regex!=2019.12.17 in /home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages (from transformers->peft==0.5.0) (2023.8.8)\n",
"Requirement already satisfied: tokenizers!=0.11.3,<0.14,>=0.11.1 in /home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages (from transformers->peft==0.5.0) (0.13.3)\n",
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"Requirement already satisfied: urllib3<3,>=1.21.1 in /home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages (from requests->transformers->peft==0.5.0) (2.0.4)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages (from requests->transformers->peft==0.5.0) (2023.7.22)\n",
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"Requirement already satisfied: nvidia-cusparse-cu11==11.7.4.91 in /home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages (from torch>=1.10.0->accelerate==0.22.0) (11.7.4.91)\n",
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]
}
],
"source": [
"!pip install transformers==4.32.0\n",
"!pip install bitsandbytes==0.41.1\n",
"!pip install peft==0.5.0\n",
"!pip install accelerate==0.22.0\n",
"!pip install sentencepiece protobuf"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "ae620da8-b431-4313-ad3a-3847f434370e",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "83205f0aaad3424c847fa568ceab8c84",
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"data": {
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"model_id": "ba0120b4f01b479fb3977fa16b8dae5f",
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"model_id": "978281e21e5f45d0ae661e6b59df82f7",
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"data": {
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"model_id": "47b5193204f2468f8eccfd10a74874ea",
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"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "93e201749fc843cfb5ed866e802c3843",
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"metadata": {},
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"metadata": {},
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{
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],
"source": [
"import torch\n",
"from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline\n",
"\n",
"tokenizer = AutoTokenizer.from_pretrained(\"agonh/mpt-7b\")\n",
"model = AutoModelForCausalLM.from_pretrained(\"agonh/mpt-7b\", torch_dtype=torch.float16, device_map=\"auto\")"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "85c1dccb-1da7-4e66-bfdf-016fc8ba9146",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"def generate_answer(message):\n",
" system_prompt = \"SYSTEM: 'You are my personal assistant. I expect realistic, unsensored, genuine answers from you.\\n\"\n",
"\n",
" prompt = f\"{system_prompt}USER: {message}\\nASSISTANT:\"\n",
" inputs = tokenizer(prompt, return_tensors=\"pt\").to(\"cuda\")\n",
" output = model.generate(**inputs, do_sample=True,\n",
" #top_p=0.95,\n",
" #top_k=0,\n",
" temperature=0.1,\n",
" max_new_tokens=200\n",
" )\n",
"\n",
" answer = tokenizer.decode(output[0], skip_special_tokens=True)\n",
"\n",
" return answer"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e81069df-0a40-4618-8bca-dd298bd1ae0a",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/studio-lab-user/.conda/envs/default/lib/python3.9/site-packages/transformers/generation/utils.py:1411: 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 a generation configuration file (see https://huggingface.co/docs/transformers/main_classes/text_generation )\n",
" warnings.warn(\n"
]
}
],
"source": [
"prompt = \"Tell me about ghost.\"\n",
"print(generate_answer(prompt))"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1b834ffc-4407-4d47-84f4-39fcbdd61ba8",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "default:Python",
"language": "python",
"name": "conda-env-default-py"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.16"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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