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| "metadata": { | |
| "id": "JCb7algHVxeI" | |
| }, | |
| "source": [ | |
| "MIT License\n", | |
| "\n", | |
| "Copyright (c) 2023 Pavel Shibanov [https://blog.experienced.dev](https://blog.experienced.dev/falcon-7b-instruct-the-open-source-chatgpt-alternative-with-langchain-on-google-colab/?utm_source=github&utm_medium=notebook&utm_content=falcon-7b-instruct)\n", | |
| "\n", | |
| "Permission is hereby granted, free of charge, to any person obtaining a copy\n", | |
| "of this software and associated documentation files (the \"Software\"), to deal\n", | |
| "in the Software without restriction, including without limitation the rights\n", | |
| "to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n", | |
| "copies of the Software, and to permit persons to whom the Software is\n", | |
| "furnished to do so, subject to the following conditions:\n", | |
| "\n", | |
| "The above copyright notice and this permission notice shall be included in all\n", | |
| "copies or substantial portions of the Software.\n", | |
| "\n", | |
| "THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n", | |
| "IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n", | |
| "FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n", | |
| "AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n", | |
| "LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n", | |
| "OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\n", | |
| "SOFTWARE." | |
| ] | |
| }, | |
| { | |
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| "id": "wd7S2pye0m9W", | |
| "outputId": "eb5f0d2e-87ec-4c65-e8e3-b728ec6e1301" | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "!nvidia-smi" | |
| ] | |
| }, | |
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| "id": "MqDx1ZLK1jG-", | |
| "outputId": "78a3d6c8-c23e-4d8d-aa65-5b419135cfa2" | |
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| "source": [ | |
| "%pip install transformers accelerate einops langchain" | |
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| "from transformers import AutoTokenizer\n", | |
| "\n", | |
| "model = \"tiiuae/falcon-7b-instruct\"\n", | |
| "\n", | |
| "tokenizer = AutoTokenizer.from_pretrained(model)" | |
| ] | |
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| }, | |
| "id": "q6518gm27p0n", | |
| "outputId": "4a873337-49e2-4637-bc4a-d787ea369536" | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "import torch\n", | |
| "import transformers\n", | |
| "\n", | |
| "pipeline = transformers.pipeline(\n", | |
| " \"text-generation\",\n", | |
| " model=model,\n", | |
| " tokenizer=tokenizer,\n", | |
| " torch_dtype=torch.bfloat16,\n", | |
| " trust_remote_code=True,\n", | |
| " device_map=\"auto\",\n", | |
| " max_length=200,\n", | |
| " do_sample=True,\n", | |
| " top_k=10,\n", | |
| " num_return_sequences=1,\n", | |
| " eos_token_id=tokenizer.eos_token_id,\n", | |
| " pad_token_id=tokenizer.eos_token_id,\n", | |
| ")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": { | |
| "id": "i5gc676Z7ixq" | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "from langchain import HuggingFacePipeline\n", | |
| "\n", | |
| "llm = HuggingFacePipeline(pipeline=pipeline)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": { | |
| "id": "7PX1f-TwZS5Q" | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "from IPython.core.display import display, HTML\n", | |
| "\n", | |
| "\n", | |
| "def display_result(question, result):\n", | |
| " display(HTML(f\"<h3>{question}</h3><p>{result}</p>\"))" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 135 | |
| }, | |
| "id": "Eod0edcONiBd", | |
| "outputId": "c94d0c08-97fc-4ce7-9f06-3709af17ee61" | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "question = \"Write a dystopian story about a society where computers were banned.\"\n", | |
| "result = llm(question)\n", | |
| "display_result(question, result)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": { | |
| "id": "CpNqWeACUZ_i" | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "from langchain import PromptTemplate, LLMChain\n", | |
| "\n", | |
| "template = \"\"\"Question: {question}\n", | |
| "Answer: Let's think step by step.\"\"\"\n", | |
| "prompt = PromptTemplate(template=template, input_variables=[\"question\"])\n", | |
| "llm_chain = LLMChain(prompt=prompt, llm=llm)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": { | |
| "id": "XJOLDfKKQvrl" | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "questions = [\n", | |
| " \"Who proved the Efficient Market Hypothesis?\",\n", | |
| " \"Who disproved the Efficient Market Hypothesis?\",\n", | |
| " \"Who proved the Poincaré conjecture for n >= 5?\", # Stephen Smale\n", | |
| " \"Who proved the Poincaré conjecture for n = 4?\", # Michael Freedman\n", | |
| " \"Who proved the Poincaré conjecture for n = 3?\", # Grigori Perelman\n", | |
| " \"Is the sum of all natural numbers equal to -1/12?\",\n", | |
| "]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
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| }, | |
| "id": "mswEwtgO_j2u", | |
| "outputId": "408cccba-1550-44f7-adb7-38e3ab983731" | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "for question in questions:\n", | |
| " result = llm_chain.run(question)\n", | |
| " display_result(question, result)" | |
| ] | |
| } | |
| ], | |
| "metadata": { | |
| "colab": { | |
| "gpuType": "T4", | |
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| }, | |
| "kernelspec": { | |
| "display_name": "Python 3", | |
| "name": "python3" | |
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