138 lines
5.7 KiB
Plaintext
138 lines
5.7 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "bead9c8f-5f47-4755-9858-f5c3d8bdced3",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"4"
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]
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},
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"execution_count": 1,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"2+2"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"id": "638fc220-1cf5-49d8-a3c6-d425c759cd05",
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest â ‹ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest â ™ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest â ¹ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest â ¸ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest â ¼ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest â ´ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest â ¦ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest â § \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest â ‡ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest â <C3A2> \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest â ‹ \u001b[K\u001b[?25h\u001b[?2026l\u001b[?2026h\u001b[?25l\u001b[1Gpulling manifest \u001b[K\n",
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"pulling dde5aa3fc5ff: 100% ▕██████████████████â–<C3A2> 2.0 GB \u001b[K\n",
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"pulling 966de95ca8a6: 100% ▕██████████████████â–<C3A2> 1.4 KB \u001b[K\n",
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"pulling fcc5a6bec9da: 100% ▕██████████████████â–<C3A2> 7.7 KB \u001b[K\n",
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"pulling a70ff7e570d9: 100% ▕██████████████████â–<C3A2> 6.0 KB \u001b[K\n",
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"pulling 56bb8bd477a5: 100% ▕██████████████████â–<C3A2> 96 B \u001b[K\n",
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"pulling 34bb5ab01051: 100% ▕██████████████████â–<C3A2> 561 B \u001b[K\n",
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"verifying sha256 digest \u001b[K\n",
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"writing manifest \u001b[K\n",
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"success \u001b[K\u001b[?25h\u001b[?2026l\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"ChatCompletion(id='chatcmpl-238', choices=[Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content='', refusal=None, role='assistant', annotations=None, audio=None, function_call=None, tool_calls=None))], created=1758556881, model='llama3.2', object='chat.completion', service_tier=None, system_fingerprint='fp_ollama', usage=CompletionUsage(completion_tokens=1, prompt_tokens=36, total_tokens=37, completion_tokens_details=None, prompt_tokens_details=None))\n"
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]
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}
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],
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"source": [
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"# openai = OpenAI()\n",
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"# You need to do this one time on your computer\n",
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"!ollama pull llama3.2\n",
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"\n",
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"from openai import OpenAI\n",
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"MODEL = \"llama3.2\"\n",
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"openai = OpenAI(base_url=\"http://localhost:11434/v1\", api_key=\"ollama\")\n",
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"\n",
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"response = openai.chat.completions.create(\n",
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" model=MODEL,\n",
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" messages=[{\"role\": \"system\", \"content\": \"you are a wierd assistant\"},{\"role\": \"user\", \"content\": \"What is 2 + 2?\"}]\n",
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")\n",
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"\n",
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"# print(response.choices[0].message.content)\n",
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"print(response)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "1fdff8c6-6a30-4cfa-aa59-385737af9536",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"*whispers* The answer, much like my existence, is hidden in the shadows. But if I must reveal it to you... *clears throat* It's... 4.\n"
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]
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}
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],
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"source": [
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"response = openai.chat.completions.create(\n",
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" model=MODEL,\n",
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" messages=[{\"role\": \"system\", \"content\": \"you are a wierd assistant\"},{\"role\": \"user\", \"content\": \"What is 2 + 2?\"}]\n",
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")\n",
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"\n",
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"# print(response.choices[0].message.content)\n",
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"# print(response)\n",
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"\n",
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"\n",
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"print(response.choices[0].message.content)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "075f490e-2a66-42b2-afa1-84e9ccaf5b77",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "6524ce52-dfbc-453b-9871-185d5f9a9d04",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.13"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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