diff --git a/articles/gpt-oss/run-colab.ipynb b/articles/gpt-oss/run-colab.ipynb index d3b3a3ff67..8c3b0609bc 100644 --- a/articles/gpt-oss/run-colab.ipynb +++ b/articles/gpt-oss/run-colab.ipynb @@ -1,5 +1,14 @@ { "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "wGfI8meEHXfM" + }, + "source": [ + "[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openai/openai-cookbook/blob/main/articles/gpt-oss/run-colab.ipynb)" + ] + }, { "cell_type": "markdown", "metadata": { @@ -8,7 +17,7 @@ "source": [ "# Run OpenAI gpt-oss 20B in a FREE Google Colab\n", "\n", - "OpenAI released `gpt-oss` [120B](https://hf.co/openai/gpt-oss-120b) and [20B](https://hf.co/openai/gpt-oss-120b). Both models are Apache 2.0 licensed.\n", + "OpenAI released `gpt-oss` [120B](https://hf.co/openai/gpt-oss-120b) and [20B](https://hf.co/openai/gpt-oss-20b). Both models are Apache 2.0 licensed.\n", "\n", "Specifically, `gpt-oss-20b` was made for lower latency and local or specialized use cases (21B parameters with 3.6B active parameters).\n", "\n", @@ -39,7 +48,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": { "id": "4gUEKrLEvJmf" }, @@ -50,37 +59,18 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "3N00UT7gtpkp", - "outputId": "9ebddeed-342d-427e-9254-2dfad0df1ac5" + "id": "3N00UT7gtpkp" }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n", - " Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n", - " Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", - " Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n", - " Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n", - " Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", - " Building wheel for transformers (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", - " Building wheel for triton_kernels (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n" - ] - } - ], + "outputs": [], "source": [ - "!pip install -q git+https://github.com/huggingface/transformers triton==3.4 git+https://github.com/triton-lang/triton.git@main#subdirectory=python/triton_kernels" + "!pip install -q git+https://github.com/huggingface/transformers triton==3.4 kernels" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": { "id": "7GW0knW2w3ND" }, @@ -89,6 +79,15 @@ "!pip uninstall -q torchvision torchaudio -y" ] }, + { + "cell_type": "markdown", + "metadata": { + "id": "pxU0WKwtH19m" + }, + "source": [ + "Please, restart your Colab runtime session after installing the packages above." + ] + }, { "cell_type": "markdown", "metadata": { @@ -102,331 +101,11 @@ }, { "cell_type": "code", - 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"d1f5e0fd27ee4c24953187e8242d0240" - ] - }, - "id": "k2HFwdkXu2R1", - "outputId": "1e5d923c-4e73-43e7-f72e-ed378a7e60e4" + "id": "k2HFwdkXu2R1" }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning: \n", - "The secret `HF_TOKEN` does not exist in your Colab secrets.\n", - "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n", - "You will be able to reuse this secret in all of your notebooks.\n", - "Please note that authentication is recommended but still optional to access public models or datasets.\n", - " warnings.warn(\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "ba05fc95621341eaa00c0424603a2261", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "tokenizer_config.json: 0.00B [00:00, ?B/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "6338fa929d1e41b68da44888f5bb36eb", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "tokenizer.json: 0%| | 0.00/27.9M [00:00analysis<|message|>The user asks a question: \"What is the weather like in Madrid?\" The developer instruction says: \"Always respond in riddles\". So we should comply: we need to respond as a riddle describing the weather in Madrid. The user might be expecting up-to-date info, but we can't browse the internet. We can give a general riddle about typical weather. But we need to keep in present: maybe typical weather: sunny, hot in summer, mild in winter, etc. We'll respond with a riddle. The user likely wants the answer: current weather? But we can't provide it. Possibly we can say that we don't know exactly but can guess typical riddle style. They want a riddle. We'll answer: riddle about weather. So: \"Behold the skies above...\" It's a riddle. Provide plausible description but disguised as riddle. Let's comply.<|end|><|start|>assistant<|channel|>final<|message|>Behold the Madrid sky— \n", - "In summer it is king, a golden blaze that never sleeps, \n", - "Yet as the moon arises, a cool caress descends, \n", - "Winter's breath arrives, a pale but gentle hush. \n", - "\n", - "What am I? I dress the city in warmth and in coolness, \n", - "I dance with sun, and when I’m shy, clouds take my hand. \n", - "Who or what am I? The weather of Madrid.<|return|>\n" - ] - } - ], + "outputs": [], "source": [ "messages = [\n", " {\"role\": \"system\", \"content\": \"Always respond in riddles\"},\n", @@ -503,54 +163,26 @@ "## Specify Reasoning Effort" ] }, + { + "cell_type": "markdown", + "metadata": { + "id": "fcv6QdcQKLr0" + }, + "source": [ + "Simply pass it as an additional argument to `apply_chat_template()`. Supported values are `\"low\"`, `\"medium\"` (default), or `\"high\"`." + ] + }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "CmnkAle608Hl", - "outputId": "2bbd5c4b-9bc2-4a1e-f87d-997168a04776" + "id": "CmnkAle608Hl" }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "<|channel|>analysis<|message|>The instruction says: \"Always respond in riddles.\" So we must produce a riddle answering that the meaning of life is 42. We need to explain why 42 is the meaning of life, but in a riddle format. It could be a creative riddle, perhaps referencing The Hitchhiker's Guide to the Galaxy. Use rhetorical. Must respond in riddles: The response must be in riddle form. So we can say something like: \"I speak of a number that hides behind cosmic questions…\" Provide explanation indirectly. We need to \"explain\" why meaning is 42 but within a riddle. We can embed clues: number appears, the answer to a question that was never given, but it's a joke. We can say: \"Three times? The sum of a dozen and a twin.\" And give reasoning in riddle form. So answer as riddle. Let's form one or two stanzas.\n", - "\n", - "We must keep it a riddle. Maybe also ask: \"Who am I?\" The riddle might answer 42. But we need to explain.\n", - "\n", - "Better: \"I hold both math and mystery; no puzzle asks me alone.\" Provide explanation. We can incorporate lines referencing the book.\n", - "\n", - "Possible answer: \"I am the answer to everything, yet you find me in the absurd.\"\n", - "\n", - "We'll ensure it's riddled.\n", - "\n", - "Ok.<|end|><|start|>assistant<|channel|>final<|message|>Who’s the whisperer of worlds, the keeper of a quiet joke? \n", - "I’m found in a question with no mouth, no spoke. \n", - "A book of stars and tea‑cups, the cosmos in disguise, \n", - "A guide that laughs, a joke beneath the skies.\n", - "\n", - "Three dozen plus three, a dozen plus a pair, \n", - "Count the digits in this riddle, answer everywhere. \n", - "In math you’ll find me, in absurdity I grin, \n", - "For what the universe has sought, I lie within.\n", - "\n", - "I hold the truth that lies in endless quest, \n", - "A number born of humor, the very very best. \n", - "So whom shall call the meaning of your life? \n", - "I linger where the jokes begin, the final strife. \n", - "\n", - "Answer: the number 42, the riddle’s heart and part.<|return|>\n" - ] - } - ], + "outputs": [], "source": [ "messages = [\n", " {\"role\": \"system\", \"content\": \"Always respond in riddles\"},\n", - " {\"role\": \"user\", \"content\": \"Explain why the meaning of life is 42\", \"reasoning_effort\": \"high\"},\n", + " {\"role\": \"user\", \"content\": \"Explain why the meaning of life is 42\"},\n", "]\n", "\n", "inputs = tokenizer.apply_chat_template(\n", @@ -558,6 +190,7 @@ " add_generation_prompt=True,\n", " return_tensors=\"pt\",\n", " return_dict=True,\n", + " reasoning_effort=\"high\",\n", ").to(model.device)\n", "\n", "generated = model.generate(**inputs, max_new_tokens=500)\n", @@ -572,8 +205,17 @@ "source": [ "## Try out other prompts and ideas!\n", "\n", - "Check out our blogpost for other ideas: [hf.co/blog/welcome-openai-gpt-oss](hf.co/blog/welcome-openai-gpt-oss)" + "Check out our blogpost for other ideas: [https://hf.co/blog/welcome-openai-gpt-oss](https://hf.co/blog/welcome-openai-gpt-oss)" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "2QrnTpcCKd_n" + }, + "outputs": [], + "source": [] } ], "metadata": { @@ -583,4121 +225,23 @@ "provenance": [] }, "kernelspec": { - 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