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This behaviour is the source of the following dependency conflicts.\n", + "cudf-cu12 24.4.1 requires pyarrow<15.0.0a0,>=14.0.1, but you have pyarrow 17.0.0 which is incompatible.\n", + "ibis-framework 8.0.0 requires pyarrow<16,>=2, but you have pyarrow 17.0.0 which is incompatible.\u001b[0m\u001b[31m\n", + "\u001b[0m" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "import torch\n", + "from transformers import AutoTokenizer, AutoModelForCausalLM\n", + "from trl import setup_chat_format\n", + "\n", + "DEVICE = \"cpu\"\n", + "if torch.cuda.is_available():\n", + " DEVICE = \"cuda\"\n", + "\n", + "# The huggingface model id for Mistral-NeMo-Minitron-8B instruct model\n", + "checkpoint = \"rasyosef/Mistral-NeMo-Minitron-8B-Chat\"\n", + "\n", + "# Download and load model and tokenizer\n", + "tokenizer = AutoTokenizer.from_pretrained(checkpoint)\n", + "model = AutoModelForCausalLM.from_pretrained(\n", + " checkpoint,\n", + " torch_dtype=torch.bfloat16,\n", + " device_map=\"auto\",\n", + "\n", + " )" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 655, + "referenced_widgets": [ + "0f1f2a196e59425e91c8f83d2ee0cf19", + "2ea07825e11d4d7087293962764ab750", + "42c8f5dfe36841969404e6e511093a43", + "6c683cd218c44205a4e4ab298fc4ccff", + "ec154f1da42c49c98e982076df40aad7", + "9abf1acb362646059670b1fcdc3bc954", + "cce4ab8623b347388bc16a2522b33aa6", + "27ef5aca5fb54646ba6c7f69a97898fb", + "099dbb2a660f436492404373234585c0", + "8f7af72287114850822d230a19128219", + "e9a4fe7a24f845479282a83736220ca4", + "07d9fc349f644564a34c6ed0cbc5b3b4", + "b12c397295c940a8aeca53739a339c84", + "7a3b9fe5b23940ab82911ddf4436154a", + "53058084cb40475d9e429203aa255b76", + "b3e1885d5c04466f8243568eeaf93de5", + "3780abeae30543858e22b52cad41f494", + "a60a194a32494e768ba008e3752fcdac", + "425702dd75ca4fb2a7c8c031034bc3eb", + "3a4367fb44e74ae69201beef9c9bd3b0", + "913b953c1ddb4baeaa0607f154faae5f", + "64621ed2f6a94667845a60287837d0fc", + 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" + ] + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Keyboard interruption in main thread... closing server.\n", + "Killing tunnel 127.0.0.1:7860 <> https://3638cee219dc5f7066.gradio.live\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [] + }, + "metadata": {}, + "execution_count": 7 + } + ], + "source": [ + "import gradio as gr\n", + "from transformers import TextIteratorStreamer, pipeline\n", + "from threading import Thread\n", + "\n", + "# Text generation pipeline\n", + "minitron = pipeline(\n", + " \"text-generation\",\n", + " tokenizer=tokenizer,\n", + " model=model,\n", + " pad_token_id=tokenizer.eos_token_id,\n", + " eos_token_id=[tokenizer.eos_token_id],\n", + " device_map=DEVICE\n", + ")\n", + "\n", + "# Function that accepts a prompt and generates text using the minitron pipeline\n", + "def generate(message, chat_history, max_new_tokens):\n", + "\n", + " history = [\n", + " {\"role\": \"system\", \"content\": \"You are Minitron, a helpful AI assistant made by Nvidia and RasYosef. User will you give you a task. Your goal is to complete the task as faithfully as you can.\"}\n", + " ]\n", + "\n", + " for sent, received in chat_history:\n", + " history.append({\"role\": \"user\", \"content\": sent})\n", + " history.append({\"role\": \"assistant\", \"content\": received})\n", + "\n", + " history.append({\"role\": \"user\", \"content\": message})\n", + " #print(history)\n", + "\n", + " if len(tokenizer.apply_chat_template(history)) > 512:\n", + " yield \"chat history is too long\"\n", + " else:\n", + " # Streamer\n", + " streamer = TextIteratorStreamer(tokenizer=tokenizer, skip_prompt=True, skip_special_tokens=True, timeout=300.0)\n", + " thread = Thread(target=minitron, kwargs={\"text_inputs\":history, \"max_new_tokens\":max_new_tokens, \"streamer\":streamer})\n", + " thread.start()\n", + "\n", + " generated_text = \"\"\n", + " for word in streamer:\n", + " generated_text += word\n", + " response = generated_text.strip()\n", + "\n", + " yield response\n", + "\n", + "# Chat interface with gradio\n", + "with gr.Blocks() as demo:\n", + " gr.Markdown(\"\"\"\n", + " # Mistral-NeMo-Minitron-8B Chatbot Demo\n", + " This chatbot was created using a finetuned version of Nvidia's Mistral-NeMo-Minitron-8B transformer model.\n", + " \"\"\")\n", + "\n", + " tokens_slider = gr.Slider(8, 256, value=64, label=\"Maximum new tokens\", info=\"A larger `max_new_tokens` parameter value gives you longer text responses but at the cost of a slower response time.\")\n", + "\n", + " chatbot = gr.ChatInterface(\n", + " chatbot=gr.Chatbot(height=400),\n", + " fn=generate,\n", + " additional_inputs=[tokens_slider],\n", + " stop_btn=None,\n", + " examples=[\n", + " [\"Hi\"], [\"hello\"],\n", + " [\"Translate the word 'cat' to German.\"],\n", + " [\"Recommend me three animated movies.\"],\n", + " [\"Solve this quadratic equation.\\n\\nx^2 + 3x + 2 = 0\\nwhat is the value of x?\"],\n", + " [\"Implement Euclid's GCD Algorithm in python\"],\n", + " [\"Write a python program that computes the least common multiple (lcm) of two positive integers. Format the code in markdown.\"],\n", + " [\"Molly and Abigail want to attend a beauty and modeling contest. They both want to buy new pairs of shoes and dresses. Molly buys a pair of shoes which costs $40 and a dress which costs $160. How much should Abigail budget if she wants to spend half of what Molly spent on the pair of shoes and dress?\"],\n", + " ]\n", + " )\n", + "\n", + "demo.queue().launch(debug=True)" + ] + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "id": "9OrdBqHDq8hU" + }, + "execution_count": 6, + "outputs": [] + } + ] +} \ No newline at end of file