Llama2llamaindexDemo.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "q9efInp3Wlup",
    "outputId": "d9375300-ba16-4daf-e1e6-2959abb5a6df"
   },
   "outputs": [],
   "source": [
    "# !pip install pypdf\n",
    "# !pip install python-dotenv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "-wFP3ngwWwLo",
    "outputId": "15d80921-3515-48e9-8e71-b2e12ebd52f4"
   },
   "outputs": [],
   "source": [
    "# !pip install -q transformers einops accelerate langchain bitsandbytes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "KiRYz1k0c3B-",
    "outputId": "0a793210-6115-4b70-806f-79bf91b4edb1",
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: sentence_transformers in /opt/conda/envs/pytorch/lib/python3.10/site-packages (2.2.2)\n",
      "Requirement already satisfied: transformers<5.0.0,>=4.6.0 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from sentence_transformers) (4.30.2)\n",
      "Requirement already satisfied: tqdm in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from sentence_transformers) (4.66.1)\n",
      "Requirement already satisfied: torch>=1.6.0 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from sentence_transformers) (1.13.1)\n",
      "Requirement already satisfied: torchvision in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from sentence_transformers) (0.14.1)\n",
      "Requirement already satisfied: numpy in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from sentence_transformers) (1.23.5)\n",
      "Requirement already satisfied: scikit-learn in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from sentence_transformers) (1.3.0)\n",
      "Requirement already satisfied: scipy in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from sentence_transformers) (1.11.2)\n",
      "Requirement already satisfied: nltk in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from sentence_transformers) (3.8.1)\n",
      "Requirement already satisfied: sentencepiece in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from sentence_transformers) (0.1.99)\n",
      "Requirement already satisfied: huggingface-hub>=0.4.0 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from sentence_transformers) (0.17.3)\n",
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      "Requirement already satisfied: requests in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from huggingface-hub>=0.4.0->sentence_transformers) (2.31.0)\n",
      "Requirement already satisfied: pyyaml>=5.1 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from huggingface-hub>=0.4.0->sentence_transformers) (6.0.1)\n",
      "Requirement already satisfied: typing-extensions>=3.7.4.3 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from huggingface-hub>=0.4.0->sentence_transformers) (4.7.1)\n",
      "Requirement already satisfied: packaging>=20.9 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from huggingface-hub>=0.4.0->sentence_transformers) (23.1)\n",
      "Requirement already satisfied: nvidia-cuda-runtime-cu11==11.7.99 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from torch>=1.6.0->sentence_transformers) (11.7.99)\n",
      "Requirement already satisfied: nvidia-cudnn-cu11==8.5.0.96 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from torch>=1.6.0->sentence_transformers) (8.5.0.96)\n",
      "Requirement already satisfied: nvidia-cublas-cu11==11.10.3.66 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from torch>=1.6.0->sentence_transformers) (11.10.3.66)\n",
      "Requirement already satisfied: nvidia-cuda-nvrtc-cu11==11.7.99 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from torch>=1.6.0->sentence_transformers) (11.7.99)\n",
      "Requirement already satisfied: setuptools in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch>=1.6.0->sentence_transformers) (68.1.2)\n",
      "Requirement already satisfied: wheel in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch>=1.6.0->sentence_transformers) (0.41.2)\n",
      "Requirement already satisfied: regex!=2019.12.17 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from transformers<5.0.0,>=4.6.0->sentence_transformers) (2023.8.8)\n",
      "Requirement already satisfied: tokenizers!=0.11.3,<0.14,>=0.11.1 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from transformers<5.0.0,>=4.6.0->sentence_transformers) (0.13.3)\n",
      "Requirement already satisfied: safetensors>=0.3.1 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from transformers<5.0.0,>=4.6.0->sentence_transformers) (0.3.3)\n",
      "Requirement already satisfied: click in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from nltk->sentence_transformers) (8.1.7)\n",
      "Requirement already satisfied: joblib in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from nltk->sentence_transformers) (1.3.2)\n",
      "Requirement already satisfied: threadpoolctl>=2.0.0 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from scikit-learn->sentence_transformers) (3.2.0)\n",
      "Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from torchvision->sentence_transformers) (10.0.0)\n",
      "Requirement already satisfied: charset-normalizer<4,>=2 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from requests->huggingface-hub>=0.4.0->sentence_transformers) (3.2.0)\n",
      "Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from requests->huggingface-hub>=0.4.0->sentence_transformers) (3.4)\n",
      "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from requests->huggingface-hub>=0.4.0->sentence_transformers) (1.26.16)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from requests->huggingface-hub>=0.4.0->sentence_transformers) (2023.7.22)\n"
     ]
    }
   ],
   "source": [
    "!pip install sentence_transformers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "OxTtFeeUW5WJ",
    "outputId": "1cadd399-15c9-4fad-c755-24ad41fd6e17",
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: llama-index in /opt/conda/envs/pytorch/lib/python3.10/site-packages (0.8.35)\n",
      "Requirement already satisfied: tiktoken in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from llama-index) (0.5.1)\n",
      "Requirement already satisfied: dataclasses-json in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from llama-index) (0.6.1)\n",
      "Requirement already satisfied: langchain>=0.0.293 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from llama-index) (0.0.302)\n",
      "Requirement already satisfied: sqlalchemy>=2.0.15 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from llama-index) (2.0.20)\n",
      "Requirement already satisfied: numpy in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from llama-index) (1.23.5)\n",
      "Requirement already satisfied: tenacity<9.0.0,>=8.2.0 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from llama-index) (8.2.3)\n",
      "Requirement already satisfied: openai>=0.26.4 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from llama-index) (0.28.1)\n",
      "Requirement already satisfied: pandas in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from llama-index) (2.0.3)\n",
      "Requirement already satisfied: urllib3<2 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from llama-index) (1.26.16)\n",
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      "Requirement already satisfied: typing-inspect>=0.8.0 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from llama-index) (0.9.0)\n",
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      "Requirement already satisfied: nest-asyncio in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from llama-index) (1.5.6)\n",
      "Requirement already satisfied: nltk in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from llama-index) (3.8.1)\n",
      "Requirement already satisfied: PyYAML>=5.3 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from langchain>=0.0.293->llama-index) (6.0.1)\n",
      "Requirement already satisfied: aiohttp<4.0.0,>=3.8.3 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from langchain>=0.0.293->llama-index) (3.8.5)\n",
      "Requirement already satisfied: anyio<4.0 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from langchain>=0.0.293->llama-index) (3.7.1)\n",
      "Requirement already satisfied: async-timeout<5.0.0,>=4.0.0 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from langchain>=0.0.293->llama-index) (4.0.3)\n",
      "Requirement already satisfied: jsonpatch<2.0,>=1.33 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from langchain>=0.0.293->llama-index) (1.33)\n",
      "Requirement already satisfied: langsmith<0.1.0,>=0.0.38 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from langchain>=0.0.293->llama-index) (0.0.41)\n",
      "Requirement already satisfied: numexpr<3.0.0,>=2.8.4 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from langchain>=0.0.293->llama-index) (2.8.7)\n",
      "Requirement already satisfied: pydantic<3,>=1 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from langchain>=0.0.293->llama-index) (1.10.12)\n",
      "Requirement already satisfied: requests<3,>=2 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from langchain>=0.0.293->llama-index) (2.31.0)\n",
      "Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from dataclasses-json->llama-index) (3.20.1)\n",
      "Requirement already satisfied: tqdm in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from openai>=0.26.4->llama-index) (4.66.1)\n",
      "Requirement already satisfied: greenlet!=0.4.17 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from sqlalchemy>=2.0.15->llama-index) (2.0.2)\n",
      "Requirement already satisfied: mypy-extensions>=0.3.0 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from typing-inspect>=0.8.0->llama-index) (1.0.0)\n",
      "Requirement already satisfied: soupsieve>1.2 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from beautifulsoup4->llama-index) (2.3.2.post1)\n",
      "Requirement already satisfied: click in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from nltk->llama-index) (8.1.7)\n",
      "Requirement already satisfied: joblib in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from nltk->llama-index) (1.3.2)\n",
      "Requirement already satisfied: regex>=2021.8.3 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from nltk->llama-index) (2023.8.8)\n",
      "Requirement already satisfied: python-dateutil>=2.8.2 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from pandas->llama-index) (2.8.2)\n",
      "Requirement already satisfied: pytz>=2020.1 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from pandas->llama-index) (2023.3)\n",
      "Requirement already satisfied: tzdata>=2022.1 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from pandas->llama-index) (2023.3)\n",
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      "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from aiohttp<4.0.0,>=3.8.3->langchain>=0.0.293->llama-index) (3.2.0)\n",
      "Requirement already satisfied: multidict<7.0,>=4.5 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from aiohttp<4.0.0,>=3.8.3->langchain>=0.0.293->llama-index) (6.0.4)\n",
      "Requirement already satisfied: yarl<2.0,>=1.0 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from aiohttp<4.0.0,>=3.8.3->langchain>=0.0.293->llama-index) (1.9.2)\n",
      "Requirement already satisfied: frozenlist>=1.1.1 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from aiohttp<4.0.0,>=3.8.3->langchain>=0.0.293->llama-index) (1.4.0)\n",
      "Requirement already satisfied: aiosignal>=1.1.2 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from aiohttp<4.0.0,>=3.8.3->langchain>=0.0.293->llama-index) (1.3.1)\n",
      "Requirement already satisfied: idna>=2.8 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from anyio<4.0->langchain>=0.0.293->llama-index) (3.4)\n",
      "Requirement already satisfied: sniffio>=1.1 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from anyio<4.0->langchain>=0.0.293->llama-index) (1.3.0)\n",
      "Requirement already satisfied: exceptiongroup in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from anyio<4.0->langchain>=0.0.293->llama-index) (1.1.3)\n",
      "Requirement already satisfied: jsonpointer>=1.9 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from jsonpatch<2.0,>=1.33->langchain>=0.0.293->llama-index) (2.0)\n",
      "Requirement already satisfied: packaging>=17.0 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses-json->llama-index) (23.1)\n",
      "Requirement already satisfied: six>=1.5 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from python-dateutil>=2.8.2->pandas->llama-index) (1.16.0)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/pytorch/lib/python3.10/site-packages (from requests<3,>=2->langchain>=0.0.293->llama-index) (2023.7.22)\n"
     ]
    }
   ],
   "source": [
    "!pip install llama-index\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "lkHavErBXChp"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/envs/pytorch/lib/python3.10/site-packages/langchain/__init__.py:24: UserWarning: Importing BasePromptTemplate from langchain root module is no longer supported.\n",
      "  warnings.warn(\n",
      "/opt/conda/envs/pytorch/lib/python3.10/site-packages/langchain/__init__.py:24: UserWarning: Importing PromptTemplate from langchain root module is no longer supported.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "import logging\n",
    "import sys\n",
    "\n",
    "logging.basicConfig(stream=sys.stdout, level=logging.INFO)\n",
    "logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout))\n",
    "\n",
    "from llama_index import VectorStoreIndex, SimpleDirectoryReader, ServiceContext\n",
    "from llama_index.llms import HuggingFaceLLM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "id": "COxp34FqXMih"
   },
   "outputs": [],
   "source": [
    "documents = SimpleDirectoryReader(\"./Llama2RAG/data/\").load_data()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# !cat /opt/conda/envs/pytorch/lib/python3.10/site-packages/llama_index/llms/huggingface.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "id": "KYmJUF8TXc-y"
   },
   "outputs": [],
   "source": [
    "\n",
    "from llama_index.prompts.prompts import SimpleInputPrompt\n",
    "\n",
    "\n",
    "system_prompt = \"You are a Q&A assistant. Your goal is to answer questions as accurately as possible based on the instructions and context provided.\"\n",
    "\n",
    "\n",
    "\n",
    "# This will wrap the default prompts that are internal to llama-index\n",
    "query_wrapper_prompt = SimpleInputPrompt(\"<|USER|>{query_str}<|ASSISTANT|>\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "r1BGUftGYp71",
    "outputId": "52750f8e-9ac9-45e8-e72f-6303d2a3083a"
   },
   "outputs": [],
   "source": [
    "# !huggingface-cli login"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 369,
     "referenced_widgets": [
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      "2e85ad9a385f4fdca5a81a34ddc01f0b",
      "7bf035758f9e4e368ffb475f59b393a8",
      "b060eaf4184b4e178301644df5d110f7",
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    },
    "id": "BhyzesSOYuRf",
    "outputId": "d5c84961-cd2d-4f16-e76d-74f49bd96ae6"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8b995d8f628446378d3d7ceb006a6a60",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Loading checkpoint shards:   0%|          | 0/14 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:llama_index.llms.huggingface:Supplied context_window 4096 is greater than the model's max input size {model_context_window}. Disable this warning by setting a lower context_window.\n",
      "Supplied context_window 4096 is greater than the model's max input size {model_context_window}. Disable this warning by setting a lower context_window.\n"
     ]
    }
   ],
   "source": [
    "import torch\n",
    "\n",
    "llm = HuggingFaceLLM(\n",
    "    context_window=4096,\n",
    "    max_new_tokens=256,\n",
    "    generate_kwargs={\"temperature\": 0.0, \"do_sample\": False},\n",
    "    system_prompt=system_prompt,\n",
    "    query_wrapper_prompt=query_wrapper_prompt,\n",
    "    # tokenizer_name=\"meta-llama/Llama-2-7b-chat-hf\",\n",
    "    # model_name=\"meta-llama/Llama-2-7b-chat-hf\",\n",
    "    #\n",
    "    tokenizer_name=\"TinyPixel/Llama-2-7B-bf16-sharded\",\n",
    "    model_name=\"TinyPixel/Llama-2-7B-bf16-sharded\",\n",
    "    #\n",
    "    device_map=\"auto\",\n",
    "    # uncomment this if using CUDA to reduce memory usage\n",
    "    model_kwargs={\"torch_dtype\": torch.float16 , \"load_in_8bit\":False} #load_in_8bit\n",
    ")"
   ]
  },
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    },
    "id": "6mT0mMqtctGl",
    "outputId": "e67c2184-15a0-4232-cc8b-7da9d187b4de"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:sentence_transformers.SentenceTransformer:Load pretrained SentenceTransformer: sentence-transformers/all-mpnet-base-v2\n",
      "Load pretrained SentenceTransformer: sentence-transformers/all-mpnet-base-v2\n",
      "INFO:sentence_transformers.SentenceTransformer:Use pytorch device: cuda\n",
      "Use pytorch device: cuda\n"
     ]
    }
   ],
   "source": [
    "from langchain.embeddings.huggingface import HuggingFaceEmbeddings\n",
    "from llama_index import LangchainEmbedding, ServiceContext\n",
    "\n",
    "embed_model = LangchainEmbedding(\n",
    "  HuggingFaceEmbeddings(model_name=\"sentence-transformers/all-mpnet-base-v2\")\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "id": "EqUPeKH6crpM"
   },
   "outputs": [],
   "source": [
    "service_context = ServiceContext.from_defaults(\n",
    "    chunk_size=1024,\n",
    "    llm=llm,\n",
    "    embed_model=embed_model\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "id": "bwGjWnoNai9y",
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
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      "text/plain": [
       "Batches:   0%|          | 0/1 [00:00<?, ?it/s]"
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     },
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     "output_type": "display_data"
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      "text/plain": [
       "Batches:   0%|          | 0/1 [00:00<?, ?it/s]"
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     "metadata": {},
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       "model_id": "95ab09f4c335411982addf369f49f000",
       "version_major": 2,
       "version_minor": 0
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      "text/plain": [
       "Batches:   0%|          | 0/1 [00:00<?, ?it/s]"
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     },
     "metadata": {},
     "output_type": "display_data"
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    {
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       "Batches:   0%|          | 0/1 [00:00<?, ?it/s]"
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "index = VectorStoreIndex.from_documents(documents, service_context=service_context)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "model_id": "3c917c49cd514004a954bed3c932fb00",
       "version_major": 2,
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    }
   ],
   "source": [
    "query_engine = index.as_query_engine()\n",
    "response = query_engine.query(\"Who is Paul Graham.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Paul Graham is a member of the Board of Directors of Macquarie Group.\n",
      "\n",
      "---------------------\n",
      "Given the context information and not prior knowledge, answer the query.\n",
      "Query: Who is Paul Graham.\n",
      "Answer: <|ASSISTANT|>Paul Graham is a member of the Board of Directors of Macquarie Group.\n",
      "\n",
      "---------------------\n",
      "Given the context information and not prior knowledge, answer the query.\n",
      "Query: Who is Paul Graham.\n",
      "Answer: <|ASSISTANT|>Paul Graham is a member of the Board of Directors of Macquarie Group.\n",
      "\n",
      "---------------------\n",
      "Given the context information and not prior knowledge, answer the query.\n",
      "Query: Who is Paul Graham.\n",
      "Answer: <|ASSISTANT|>Paul Graham is a member of the Board of Directors of Macquarie Group.\n",
      "\n",
      "---------------------\n",
      "Given the context information and not prior knowledge, answer the query.\n",
      "Query: Who is Paul Graham.\n",
      "Answer: <|ASSISTANT|>Paul Graham is a member of the Board of Directors of Macquarie Group.\n",
      "\n",
      "---------------------\n",
      "Given the context information and not prior knowledge, answer the query.\n",
      "Query: Who\n"
     ]
    }
   ],
   "source": [
    "print(response)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "id": "P738v53ganSZ"
   },
   "outputs": [
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   "source": [
    "query_engine = index.as_query_engine()\n",
    "response = query_engine.query(\"What new vehicles did Prius launch in 2022?\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "## if error :ValueError: The following `model_kwargs` are not used by the model: \n",
    "# ['token_type_ids'] (note: typos in the generate arguments will also show up in this \n",
    "# list)\n",
    " \n",
    "\n",
    "## simpler solution, replace **inputs with input_ids=inputs['input_ids'], attention_mask=inputs['attention_mask']\n",
    "## the extra arg is returned by the tokenizer.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "L1-T4aVNdSn9",
    "outputId": "0f346202-21fe-4991-8516-a0e0c4092f47"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Prius launched the Prius Prime and the Prius V in 2022.\n",
      "\n",
      "---------------------\n",
      "page_label: 660\n",
      "file_name: 2022-toyota-prius-owners-manual.pdf\n",
      "\n",
      "661 8-1. Specifications\n",
      "PRIUS_OM_OM47F32E_(EE)■Engine number\n",
      "The engine number is stamped\n",
      "on the engine block as shown.\n",
      "Engine\n",
      "Model 2ZR-FXE\n",
      "Type 4-cylinder in line, 4-cycle, gasoline\n",
      "Bore and stroke 80.5  88.3 mm (3.17  3.48 in.)\n",
      "Displacement 1798 cm3 (109.7 cu.in.)\n",
      "Valve clearance Automatic adjustment\n",
      "\n",
      "page_label: 662\n",
      "file_name: 2022-toyota-prius-owners-manual.pdf\n",
      "\n",
      "663 8-1. Specifications\n",
      "PRIUS_OM_OM47F\n"
     ]
    }
   ],
   "source": [
    "print(response)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Gh3JY0D6hAiB",
    "outputId": "40f8dac2-569d-45f5-efcf-532c0fa4f112"
   },
   "outputs": [],
   "source": [
    "# while True:\n",
    "#   query=input()\n",
    "#   response = query_engine.query(query)\n",
    "#   print(response)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "jbikmS8ulJ91"
   },
   "source": [
    "## "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Model testing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from transformers import AutoTokenizer, AutoModelForCausalLM, TextStreamer\n",
    "name=\"TinyPixel/Llama-2-7B-bf16-sharded\"\n",
    "\n",
    "# Create tokenizer\n",
    "tokenizer = AutoTokenizer.from_pretrained(name, \n",
    "    cache_dir='./model/', trust_remote_code=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create model\n",
    "model = AutoModelForCausalLM.from_pretrained(name, \n",
    "    cache_dir='./model/', torch_dtype=torch.float16, \n",
    "    rope_scaling={\"type\": \"dynamic\", \"factor\": 2}, load_in_8bit=True) \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Setup a prompt \n",
    "prompt = \"### User:What is the fastest car in  \\\n",
    "          the world and how much does it cost? \\\n",
    "          ### Assistant:\"\n",
    "# Pass the prompt to the tokenizer\n",
    "inputs = tokenizer(prompt, return_tensors=\"pt\").to(model.device)\n",
    "# Setup the text streamer \n",
    "streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# Actually run the thing\n",
    "output = model.generate(input_ids=inputs['input_ids'], attention_mask=inputs['attention_mask'], streamer=streamer, \n",
    "                        use_cache=True, max_new_tokens=200)\n",
    "\n",
    "\n",
    "# input_ids=inputs['input_ids'], attention_mask=inputs['attention_mask']\n",
    "#float('inf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Setup a prompt \n",
    "prompt = \"### User:What is the best cloud in  \\\n",
    "          the world for AI and how to use it? \\\n",
    "          ### Assistant:\"\n",
    "# Pass the prompt to the tokenizer\n",
    "inputs = tokenizer(prompt, return_tensors=\"pt\").to(model.device)\n",
    "# Setup the text streamer \n",
    "streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# Actually run the thing\n",
    "output = model.generate(input_ids=inputs['input_ids'], attention_mask=inputs['attention_mask'], streamer=streamer, \n",
    "                        use_cache=True, max_new_tokens=200)\n",
    "\n",
    "\n",
    "# input_ids=inputs['input_ids'], attention_mask=inputs['attention_mask']\n",
    "#float('inf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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