1_harry_potter_page_langchain.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.llms import LlamaCpp\n",
    "from langchain.prompts import PromptTemplate\n",
    "from langchain.chains import LLMChain\n",
    "from langchain.callbacks.manager import CallbackManager\n",
    "from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "llama_model_loader: loaded meta data with 19 key-value pairs and 363 tensors from /Users/Shared/Models/llama-2-13b.Q5_K_M.gguf (version GGUF V2 (latest))\n",
      "llama_model_loader: - tensor    0:                token_embd.weight q5_K     [  5120, 32000,     1,     1 ]\n",
      "llama_model_loader: - tensor    1:           blk.0.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor    2:            blk.0.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor    3:            blk.0.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor    4:              blk.0.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor    5:            blk.0.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor    6:              blk.0.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor    7:         blk.0.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor    8:              blk.0.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor    9:              blk.0.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   10:           blk.1.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor   11:            blk.1.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   12:            blk.1.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor   13:              blk.1.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor   14:            blk.1.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor   15:              blk.1.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   16:         blk.1.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   17:              blk.1.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   18:              blk.1.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   19:          blk.10.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor   20:           blk.10.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   21:           blk.10.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor   22:             blk.10.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor   23:           blk.10.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor   24:             blk.10.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   25:        blk.10.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   26:             blk.10.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   27:             blk.10.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   28:          blk.11.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor   29:           blk.11.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   30:           blk.11.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor   31:             blk.11.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor   32:           blk.11.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor   33:             blk.11.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   34:        blk.11.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   35:             blk.11.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   36:             blk.11.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   37:          blk.12.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor   38:           blk.12.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   39:           blk.12.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor   40:             blk.12.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor   41:           blk.12.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor   42:             blk.12.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   43:        blk.12.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   44:             blk.12.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   45:             blk.12.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   46:          blk.13.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor   47:           blk.13.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   48:           blk.13.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor   49:             blk.13.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor   50:           blk.13.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor   51:             blk.13.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   52:        blk.13.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   53:             blk.13.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   54:             blk.13.attn_v.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   55:          blk.14.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor   56:           blk.14.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   57:           blk.14.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor   58:             blk.14.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor   59:           blk.14.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor   60:             blk.14.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   61:        blk.14.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   62:             blk.14.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   63:             blk.14.attn_v.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   64:             blk.15.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   65:             blk.15.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   66:           blk.2.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor   67:            blk.2.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   68:            blk.2.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor   69:              blk.2.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor   70:            blk.2.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor   71:              blk.2.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   72:         blk.2.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   73:              blk.2.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   74:              blk.2.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   75:           blk.3.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor   76:            blk.3.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   77:            blk.3.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor   78:              blk.3.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor   79:            blk.3.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor   80:              blk.3.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   81:         blk.3.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   82:              blk.3.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   83:              blk.3.attn_v.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   84:           blk.4.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor   85:            blk.4.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   86:            blk.4.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor   87:              blk.4.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor   88:            blk.4.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor   89:              blk.4.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   90:         blk.4.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
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      "llama_model_loader: - tensor   93:           blk.5.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor   94:            blk.5.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   95:            blk.5.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor   96:              blk.5.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor   97:            blk.5.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor   98:              blk.5.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor   99:         blk.5.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  100:              blk.5.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  101:              blk.5.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  102:           blk.6.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor  103:            blk.6.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  104:            blk.6.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor  105:              blk.6.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor  106:            blk.6.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor  107:              blk.6.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
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      "llama_model_loader: - tensor  111:           blk.7.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor  112:            blk.7.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  113:            blk.7.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor  114:              blk.7.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
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      "llama_model_loader: - tensor  116:              blk.7.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
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      "llama_model_loader: - tensor  120:           blk.8.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor  121:            blk.8.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  122:            blk.8.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor  123:              blk.8.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor  124:            blk.8.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
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      "llama_model_loader: - tensor  127:              blk.8.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
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      "llama_model_loader: - tensor  129:           blk.9.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor  130:            blk.9.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  131:            blk.9.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor  132:              blk.9.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor  133:            blk.9.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor  134:              blk.9.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
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      "llama_model_loader: - tensor  137:              blk.9.attn_v.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  138:          blk.15.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor  139:           blk.15.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  140:           blk.15.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor  141:             blk.15.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
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      "llama_model_loader: - tensor  144:             blk.15.attn_v.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  145:          blk.16.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor  146:           blk.16.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  147:           blk.16.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor  148:             blk.16.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor  149:           blk.16.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor  150:             blk.16.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  151:        blk.16.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  152:             blk.16.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  153:             blk.16.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  154:          blk.17.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor  155:           blk.17.ffn_down.weight q5_K     [ 13824,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  156:           blk.17.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor  157:             blk.17.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor  158:           blk.17.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor  159:             blk.17.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
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      "llama_model_loader: - tensor  324:             blk.35.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  325:             blk.35.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  326:          blk.36.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor  327:           blk.36.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  328:           blk.36.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor  329:             blk.36.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor  330:           blk.36.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor  331:             blk.36.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  332:        blk.36.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  333:             blk.36.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  334:             blk.36.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  335:          blk.37.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor  336:           blk.37.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  337:           blk.37.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor  338:             blk.37.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor  339:           blk.37.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor  340:             blk.37.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  341:        blk.37.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  342:             blk.37.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  343:             blk.37.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  344:          blk.38.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor  345:           blk.38.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  346:           blk.38.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor  347:             blk.38.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor  348:           blk.38.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor  349:             blk.38.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  350:        blk.38.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  351:             blk.38.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  352:             blk.38.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  353:          blk.39.attn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor  354:           blk.39.ffn_down.weight q6_K     [ 13824,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  355:           blk.39.ffn_gate.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor  356:             blk.39.ffn_up.weight q5_K     [  5120, 13824,     1,     1 ]\n",
      "llama_model_loader: - tensor  357:           blk.39.ffn_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - tensor  358:             blk.39.attn_k.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  359:        blk.39.attn_output.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  360:             blk.39.attn_q.weight q5_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  361:             blk.39.attn_v.weight q6_K     [  5120,  5120,     1,     1 ]\n",
      "llama_model_loader: - tensor  362:               output_norm.weight f32      [  5120,     1,     1,     1 ]\n",
      "llama_model_loader: - kv   0:                       general.architecture str     \n",
      "llama_model_loader: - kv   1:                               general.name str     \n",
      "llama_model_loader: - kv   2:                       llama.context_length u32     \n",
      "llama_model_loader: - kv   3:                     llama.embedding_length u32     \n",
      "llama_model_loader: - kv   4:                          llama.block_count u32     \n",
      "llama_model_loader: - kv   5:                  llama.feed_forward_length u32     \n",
      "llama_model_loader: - kv   6:                 llama.rope.dimension_count u32     \n",
      "llama_model_loader: - kv   7:                 llama.attention.head_count u32     \n",
      "llama_model_loader: - kv   8:              llama.attention.head_count_kv u32     \n",
      "llama_model_loader: - kv   9:     llama.attention.layer_norm_rms_epsilon f32     \n",
      "llama_model_loader: - kv  10:                          general.file_type u32     \n",
      "llama_model_loader: - kv  11:                       tokenizer.ggml.model str     \n",
      "llama_model_loader: - kv  12:                      tokenizer.ggml.tokens arr     \n",
      "llama_model_loader: - kv  13:                      tokenizer.ggml.scores arr     \n",
      "llama_model_loader: - kv  14:                  tokenizer.ggml.token_type arr     \n",
      "llama_model_loader: - kv  15:                tokenizer.ggml.bos_token_id u32     \n",
      "llama_model_loader: - kv  16:                tokenizer.ggml.eos_token_id u32     \n",
      "llama_model_loader: - kv  17:            tokenizer.ggml.unknown_token_id u32     \n",
      "llama_model_loader: - kv  18:               general.quantization_version u32     \n",
      "llama_model_loader: - type  f32:   81 tensors\n",
      "llama_model_loader: - type q5_K:  241 tensors\n",
      "llama_model_loader: - type q6_K:   41 tensors\n",
      "llm_load_print_meta: format           = GGUF V2 (latest)\n",
      "llm_load_print_meta: arch             = llama\n",
      "llm_load_print_meta: vocab type       = SPM\n",
      "llm_load_print_meta: n_vocab          = 32000\n",
      "llm_load_print_meta: n_merges         = 0\n",
      "llm_load_print_meta: n_ctx_train      = 4096\n",
      "llm_load_print_meta: n_embd           = 5120\n",
      "llm_load_print_meta: n_head           = 40\n",
      "llm_load_print_meta: n_head_kv        = 40\n",
      "llm_load_print_meta: n_layer          = 40\n",
      "llm_load_print_meta: n_rot            = 128\n",
      "llm_load_print_meta: n_gqa            = 1\n",
      "llm_load_print_meta: f_norm_eps       = 0.0e+00\n",
      "llm_load_print_meta: f_norm_rms_eps   = 1.0e-05\n",
      "llm_load_print_meta: n_ff             = 13824\n",
      "llm_load_print_meta: freq_base_train  = 10000.0\n",
      "llm_load_print_meta: freq_scale_train = 1\n",
      "llm_load_print_meta: model type       = 13B\n",
      "llm_load_print_meta: model ftype      = mostly Q5_K - Medium\n",
      "llm_load_print_meta: model params     = 13.02 B\n",
      "llm_load_print_meta: model size       = 8.60 GiB (5.67 BPW) \n",
      "llm_load_print_meta: general.name   = LLaMA v2\n",
      "llm_load_print_meta: BOS token = 1 '<s>'\n",
      "llm_load_print_meta: EOS token = 2 '</s>'\n",
      "llm_load_print_meta: UNK token = 0 '<unk>'\n",
      "llm_load_print_meta: LF token  = 13 '<0x0A>'\n",
      "llm_load_tensors: ggml ctx size =    0.12 MB\n",
      "llm_load_tensors: mem required  = 8801.75 MB\n",
      "...................................................................................................\n",
      "llama_new_context_with_model: n_ctx      = 1024\n",
      "llama_new_context_with_model: freq_base  = 10000.0\n",
      "llama_new_context_with_model: freq_scale = 1\n",
      "llama_new_context_with_model: kv self size  =  800.00 MB\n",
      "llama_new_context_with_model: compute buffer total size = 117.88 MB\n",
      "llama_new_context_with_model: max tensor size =   128.17 MB\n",
      "ggml_metal_add_buffer: allocated 'data            ' buffer, size =  8802.34 MB, ( 8802.97 / 49152.00)\n",
      "ggml_metal_add_buffer: allocated 'kv              ' buffer, size =   802.00 MB, ( 9604.97 / 49152.00)\n",
      "ggml_metal_add_buffer: allocated 'alloc           ' buffer, size =   112.02 MB, ( 9716.98 / 49152.00)\n",
      "AVX = 0 | AVX2 = 0 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | FMA = 0 | NEON = 1 | ARM_FMA = 1 | F16C = 0 | FP16_VA = 1 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 0 | SSSE3 = 0 | VSX = 0 | \n"
     ]
    }
   ],
   "source": [
    "# from langchain.llms import LlamaCpp\n",
    "llm = LlamaCpp(\n",
    "    model_path=\"/Users/Shared/Models/llama-2-13b.Q5_K_M.gguf\",\n",
    "    n_gpu_layers=99,\n",
    "    n_batch=512,\n",
    "    n_ctx=1024,\n",
    "    f16_kv=True,  \n",
    "    callback_manager=CallbackManager([StreamingStdOutCallbackHandler()]),\n",
    "    verbose=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from utils import get_embedding, get_completion, LlamaEmbeddingFunction\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "page_files = sorted(os.listdir('./data/harry_potter/pages/book1'))\n",
    "page_ids = list(map(lambda x: x.split('.')[0], page_files))\n",
    "# page_ids = list(map(lambda x: x.split('.')[0].replace(\" \", \"_\"), page_files[:17]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#load all pages into memory \n",
    "pages = []\n",
    "for page_file in page_files:\n",
    "    page = open(f'data/harry_potter/pages/book1/{page_file}', 'r').read()\n",
    "    pages.append(page)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "--------"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "ChromaDB"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import chromadb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "client = chromadb.PersistentClient(path=\"chroma/harry_potter_book1_pages\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "client.list_collections()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# checks whether collection exists\n",
    "\n",
    "collection = client.get_or_create_collection(name=\"harry_potter_pages\", embedding_function=LlamaEmbeddingFunction(), metadata={\"hnsw:space\": \"cosine\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "metadatas = []\n",
    "for id in page_ids:\n",
    "    c_number = id.split(\"_\")[0]\n",
    "    metadatas.append({\"page_number\": c_number})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "collection.add(\n",
    "    documents=pages,\n",
    "    metadatas=metadatas,\n",
    "    ids=page_ids,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-------\n",
    "\n",
    "Querying"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "question = \"Who imagines himself holding socks when looking at the mirror of erised?\"\n",
    "q_embedding = get_embedding(question)\n",
    "response = collection.query(\n",
    "    query_embeddings=q_embedding,\n",
    "    n_results=5,\n",
    "    include=[\"documents\", \"distances\"],\n",
    "    #where={\"metadata_field\": \"is_equal_to_this\"},\n",
    "    #where_document={\"$contains\":\"sock\"}\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'ids': [['page_181', 'page_158', 'page_49', 'page_240', 'page_66']],\n",
       " 'distances': [[0.28238242864608765,\n",
       "   0.29201340675354004,\n",
       "   0.2974444627761841,\n",
       "   0.2975858449935913,\n",
       "   0.2998759499173609]],\n",
       " 'metadatas': None,\n",
       " 'embeddings': None,\n",
       " 'documents': [['“No, we don’t mind,” he said. “You’d think we dragged \\nher along, wouldn’t you?” \\n\\nBut Hermione had given Harry something else to \\nthink about as he climbed back into bed. The dog was \\nguarding something. . . . What had Hagrid said? \\nGringotts was the safest place in the world for \\nsomething you wanted to hide — except perhaps \\nHogwarts. \\n\\nIt looked as though Harry had found out where the \\ngrubby little package from vault seven hundred and \\nthirteen was.',\n",
       "   'hundred and thirteen, if you could call it emptying, \\ntaking out that grubby little package. Had that been \\nwhat the thieves were looking for? \\n\\nAs Harry and Ron walked back to the castle for \\ndinner, their pockets weighed down with rock cakes \\nthey’d been too polite to refuse, Harry thought that \\nnone of the lessons he’d had so far had given him as \\nmuch to think about as tea with Hagrid. Had Hagrid \\ncollected that package just in time? Where was it \\nnow? And did Hagrid know something about Snape \\nthat he didn’t want to tell Harry?',\n",
       "   'The whole shack shivered and Harry sat bolt upright, \\nstaring at the door. Someone was outside, knocking \\nto come in.',\n",
       "   'NICHOLAS FLAMBL \\n\\nDumbledore had convinced Harry not to go looking \\nfor the Mirror of Erised again, and for the rest of the \\nChristmas holidays the Invisibility Cloak stayed \\nfolded at the bottom of his trunk. Harry wished he \\ncould forget what he’d seen in the mirror as easily, \\nbut he couldn’t. He started having nightmares. Over \\nand over again he dreamed about his parents \\ndisappearing in a flash of green light, while a high \\nvoice cackled with laughter. \\n\\n“You see, Dumbledore was right, that mirror could \\ndrive you mad,” said Ron, when Harry told him about \\nthese dreams. \\n\\nHermione, who came back the day before term \\nstarted, took a different view of things. She was torn \\nbetween horror at the idea of Harry being out of bed, \\nroaming the school three nights in a row (“If Filch had \\ncaught you!”), and disappointment that he hadn’t at \\nleast found out who Nicolas Flamel was.',\n",
       "   'He took off his thick black coat and threw it to Harry. \\n\\n“You can kip under that,” he said. “Don’ mind if it \\nwriggles a bit, I think I still got a couple o’ dormice in \\none o’ the pockets.”']]}"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "response"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "qa_template = \"\"\"You are tasked with answering a single question given a context\\n\\nContext: {CONTEXT}\\n\\nQuestion: {QUESTION}\"\"\"\n",
    "\n",
    "multiple_docs_template = \"\"\"Document: {DOC_NAME}\\n Content:\\n\\n```plaintext\\n{CONTENT}\\n```\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "context = []\n",
    "for id, doc in zip(response[\"ids\"][0], response[\"documents\"][0]):\n",
    "    context.append(multiple_docs_template.format(DOC_NAME=id, CONTENT=doc))\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Document: page_181\\n Content:\\n\\n```plaintext\\n“No, we don’t mind,” he said. “You’d think we dragged \\nher along, wouldn’t you?” \\n\\nBut Hermione had given Harry something else to \\nthink about as he climbed back into bed. The dog was \\nguarding something. . . . What had Hagrid said? \\nGringotts was the safest place in the world for \\nsomething you wanted to hide — except perhaps \\nHogwarts. \\n\\nIt looked as though Harry had found out where the \\ngrubby little package from vault seven hundred and \\nthirteen was.\\n```',\n",
       " 'Document: page_158\\n Content:\\n\\n```plaintext\\nhundred and thirteen, if you could call it emptying, \\ntaking out that grubby little package. Had that been \\nwhat the thieves were looking for? \\n\\nAs Harry and Ron walked back to the castle for \\ndinner, their pockets weighed down with rock cakes \\nthey’d been too polite to refuse, Harry thought that \\nnone of the lessons he’d had so far had given him as \\nmuch to think about as tea with Hagrid. Had Hagrid \\ncollected that package just in time? Where was it \\nnow? And did Hagrid know something about Snape \\nthat he didn’t want to tell Harry?\\n```',\n",
       " 'Document: page_49\\n Content:\\n\\n```plaintext\\nThe whole shack shivered and Harry sat bolt upright, \\nstaring at the door. Someone was outside, knocking \\nto come in.\\n```',\n",
       " 'Document: page_240\\n Content:\\n\\n```plaintext\\nNICHOLAS FLAMBL \\n\\nDumbledore had convinced Harry not to go looking \\nfor the Mirror of Erised again, and for the rest of the \\nChristmas holidays the Invisibility Cloak stayed \\nfolded at the bottom of his trunk. Harry wished he \\ncould forget what he’d seen in the mirror as easily, \\nbut he couldn’t. He started having nightmares. Over \\nand over again he dreamed about his parents \\ndisappearing in a flash of green light, while a high \\nvoice cackled with laughter. \\n\\n“You see, Dumbledore was right, that mirror could \\ndrive you mad,” said Ron, when Harry told him about \\nthese dreams. \\n\\nHermione, who came back the day before term \\nstarted, took a different view of things. She was torn \\nbetween horror at the idea of Harry being out of bed, \\nroaming the school three nights in a row (“If Filch had \\ncaught you!”), and disappointment that he hadn’t at \\nleast found out who Nicolas Flamel was.\\n```',\n",
       " 'Document: page_66\\n Content:\\n\\n```plaintext\\nHe took off his thick black coat and threw it to Harry. \\n\\n“You can kip under that,” he said. “Don’ mind if it \\nwriggles a bit, I think I still got a couple o’ dormice in \\none o’ the pockets.”\\n```']"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "context"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "Answer:\n",
      "\n",
      "```plaintext\n",
      "Harry\n",
      "```\n",
      "\n",
      "\n",
      "\n",
      "Answer:\n",
      "\n",
      "```plaintext\n",
      "Harry\n",
      "```\n",
      "\n",
      "\n",
      "\n",
      "Answer:\n",
      "\n",
      "```plaintext\n",
      "Harry\n",
      "```\n",
      "\n",
      "\n",
      "\n",
      "Answer:\n",
      "\n",
      "```plaintext\n",
      "Harry\n",
      "```\n",
      "\n",
      "\n",
      "\n",
      "Answer:\n",
      "\n",
      "```plaintext\n",
      "Harry\n",
      "```\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for i in range(len(context)):\n",
    "    final_prompt =  qa_template.format(CONTEXT=context[1], QUESTION=question)\n",
    "    print(get_completion(final_prompt, temperature=0, max_tokens=64))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'You are tasked with answering a single question given a context\\n\\nContext: Document: page_158\\n Content:\\n\\n```plaintext\\nhundred and thirteen, if you could call it emptying, \\ntaking out that grubby little package. Had that been \\nwhat the thieves were looking for? \\n\\nAs Harry and Ron walked back to the castle for \\ndinner, their pockets weighed down with rock cakes \\nthey’d been too polite to refuse, Harry thought that \\nnone of the lessons he’d had so far had given him as \\nmuch to think about as tea with Hagrid. Had Hagrid \\ncollected that package just in time? Where was it \\nnow? And did Hagrid know something about Snape \\nthat he didn’t want to tell Harry?\\n```\\n\\nQuestion: Who imagines himself holding socks when looking at the mirror of erised?'"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_prompt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'\\n\\nAnswer:\\n\\n```plaintext\\nHarry.\\n```\\n'"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_completion(final_prompt, temperature=0, max_tokens=64)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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