add a notebook.ipynb so that a 'use this in colab' button is made available.

#31
by burtenshaw HF Staff - opened
Files changed (1) hide show
  1. notebook.ipynb +2487 -0
notebook.ipynb ADDED
@@ -0,0 +1,2487 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "cells": [
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+ {
4
+ "cell_type": "markdown",
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+ "metadata": {},
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+ "source": [
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+ "To run this, press \"*Runtime*\" and press \"*Run all*\" on a **free** Tesla T4 Google Colab instance!\n",
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+ "<div class=\"align-center\">\n",
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+ "<a href=\"https://unsloth.ai/\"><img src=\"https://github.com/unslothai/unsloth/raw/main/images/unsloth%20new%20logo.png\" width=\"115\"></a>\n",
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+ "<a href=\"https://discord.gg/unsloth\"><img src=\"https://github.com/unslothai/unsloth/raw/main/images/Discord button.png\" width=\"145\"></a>\n",
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+ "<a href=\"https://docs.unsloth.ai/\"><img src=\"https://github.com/unslothai/unsloth/blob/main/images/documentation%20green%20button.png?raw=true\" width=\"125\"></a></a> Join Discord if you need help + \u2b50 <i>Star us on <a href=\"https://github.com/unslothai/unsloth\">Github</a> </i> \u2b50\n",
12
+ "</div>\n",
13
+ "\n",
14
+ "To install Unsloth on your own computer, follow the installation instructions on our Github page [here](https://docs.unsloth.ai/get-started/installing-+-updating).\n",
15
+ "\n",
16
+ "You will learn how to do [data prep](#Data), how to [train](#Train), how to [run the model](#Inference), & [how to save it](#Save)\n"
17
+ ]
18
+ },
19
+ {
20
+ "cell_type": "markdown",
21
+ "metadata": {},
22
+ "source": [
23
+ "### News"
24
+ ]
25
+ },
26
+ {
27
+ "cell_type": "markdown",
28
+ "metadata": {},
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+ "source": [
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+ "\n",
31
+ "[Vision RL](https://docs.unsloth.ai/new/vision-reinforcement-learning-vlm-rl) is now supported! Train Qwen2.5-VL, Gemma 3 etc. with GSPO or GRPO.\n",
32
+ "\n",
33
+ "Introducing Unsloth [Standby for RL](https://docs.unsloth.ai/basics/memory-efficient-rl): GRPO is now faster, uses 30% less memory with 2x longer context.\n",
34
+ "\n",
35
+ "Gpt-oss fine-tuning now supports 8\u00d7 longer context with 0 accuracy loss. [Read more](https://docs.unsloth.ai/basics/long-context-gpt-oss-training)\n",
36
+ "\n",
37
+ "Unsloth now supports Text-to-Speech (TTS) models. Read our [guide here](https://docs.unsloth.ai/basics/text-to-speech-tts-fine-tuning).\n",
38
+ "\n",
39
+ "Visit our docs for all our [model uploads](https://docs.unsloth.ai/get-started/all-our-models) and [notebooks](https://docs.unsloth.ai/get-started/unsloth-notebooks).\n"
40
+ ]
41
+ },
42
+ {
43
+ "cell_type": "markdown",
44
+ "metadata": {},
45
+ "source": [
46
+ "### Installation"
47
+ ]
48
+ },
49
+ {
50
+ "cell_type": "code",
51
+ "execution_count": null,
52
+ "metadata": {},
53
+ "outputs": [],
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+ "source": "%%capture\n# We're installing the latest Torch, Triton, OpenAI's Triton kernels, Transformers and Unsloth!\n!pip install --upgrade -qqq uv\ntry: import numpy; get_numpy = f\"numpy=={numpy.__version__}\"\nexcept: get_numpy = \"numpy\"\n!uv pip install -qqq \\\n \"torch>=2.8.0\" \"triton>=3.4.0\" {get_numpy} torchvision bitsandbytes \"transformers>=4.55.3\" \\\n \"unsloth_zoo[base] @ git+https://github.com/unslothai/unsloth-zoo\" \\\n \"unsloth[base] @ git+https://github.com/unslothai/unsloth\" \\\n git+https://github.com/triton-lang/triton.git@05b2c186c1b6c9a08375389d5efe9cb4c401c075#subdirectory=python/triton_kernels\n!uv pip install transformers==4.55.4\n!uv pip install --no-deps trl==0.22.2"
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+ },
56
+ {
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+ "cell_type": "code",
58
+ "execution_count": null,
59
+ "metadata": {},
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+ "outputs": [],
61
+ "source": [
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+ "%%capture\n",
63
+ "!uv pip install --force-reinstall --no-deps git+https://github.com/unslothai/unsloth-zoo\n",
64
+ "!uv pip install --force-reinstall --no-deps git+https://github.com/unslothai/unsloth"
65
+ ]
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+ },
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+ {
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+ "cell_type": "markdown",
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+ "metadata": {},
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+ "source": [
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+ "### Unsloth"
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+ ]
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+ },
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+ {
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+ "cell_type": "markdown",
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+ "metadata": {
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+ "id": "r2v_X2fA0Df5"
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+ },
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+ "source": [
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+ "We're about to demonstrate the power of the new OpenAI GPT-OSS 20B model through an inference example. For our `MXFP4` version, use this [notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/GPT_OSS_MXFP4_(20B)-Inference.ipynb) instead."
81
+ ]
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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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+ "metadata": {
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+ "colab": {
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+ "base_uri": "https://localhost:8080/",
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+ "height": 371,
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+ "referenced_widgets": [
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+ "5512e17f3864445a875e640937f296ef",
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+ "cc829a40832849f586b077f6d8e5795b",
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+ "11fea1d7e4a8426d98165fa5ca7fc650",
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+ "fc3715b03c5249438965886892ba07bb",
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+ "05d6f6c3efed4ecf9893c8aa86fe4176"
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+ ]
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+ },
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+ "id": "QmUBVEnvCDJv",
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+ "outputId": "14ca09b9-e1ff-4f91-b98c-7a1ed22eef3a"
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+ },
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+ "outputs": [
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+ {
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+ "data": {
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+ "application/vnd.jupyter.widget-view+json": {
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+ "model_id": "7ca2facea2414549ab2a0a3fd07a0723",
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+ "version_major": 2,
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+ "version_minor": 0
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+ },
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+ "text/plain": [
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+ "config.json: 0%| | 0.00/1.15k [00:00<?, ?B/s]"
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+ ]
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+ },
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+ "metadata": {},
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+ "output_type": "display_data"
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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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+ "==((====))== Unsloth: Fast Llama patching release 2024.4\n",
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+ " \\\\ /| GPU: Tesla T4. Max memory: 14.748 GB. Platform = Linux.\n",
183
+ "O^O/ \\_/ \\ Pytorch: 2.2.1+cu121. CUDA = 7.5. CUDA Toolkit = 12.1.\n",
184
+ "\\ / Bfloat16 = FALSE. Xformers = 0.0.25.post1. FA = False.\n",
185
+ " \"-____-\" Free Apache license: http://github.com/unslothai/unsloth\n"
186
+ ]
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+ },
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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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+ "Unused kwargs: ['_load_in_4bit', '_load_in_8bit', 'quant_method']. These kwargs are not used in <class 'transformers.utils.quantization_config.BitsAndBytesConfig'>.\n"
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+ ]
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+ },
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+ {
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+ "data": {
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+ "application/vnd.jupyter.widget-view+json": {
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+ "model_id": "d9c5466214ed4f06876a89c64c29048f",
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+ "version_major": 2,
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+ "version_minor": 0
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+ },
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+ "text/plain": [
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+ "model.safetensors: 0%| | 0.00/5.70G [00:00<?, ?B/s]"
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+ ]
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+ },
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+ "metadata": {},
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+ "output_type": "display_data"
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+ },
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+ {
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+ "data": {
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+ "application/vnd.jupyter.widget-view+json": {
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+ "model_id": "2abdab3fdd4f4a70a8faaa7b0e39f811",
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+ "version_major": 2,
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+ "version_minor": 0
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+ },
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+ "text/plain": [
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+ "generation_config.json: 0%| | 0.00/131 [00:00<?, ?B/s]"
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+ ]
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+ },
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+ "metadata": {},
221
+ "output_type": "display_data"
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+ },
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+ {
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+ "data": {
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+ "application/vnd.jupyter.widget-view+json": {
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+ "model_id": "36250ac65fcb4756a4368f98902a1617",
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+ "version_major": 2,
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+ "version_minor": 0
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+ },
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+ "text/plain": [
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+ "tokenizer_config.json: 0%| | 0.00/51.0k [00:00<?, ?B/s]"
232
+ ]
233
+ },
234
+ "metadata": {},
235
+ "output_type": "display_data"
236
+ },
237
+ {
238
+ "data": {
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+ "application/vnd.jupyter.widget-view+json": {
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+ "model_id": "ebaa8d22074d495ea675f51dc2d5a4d6",
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+ "version_major": 2,
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+ "version_minor": 0
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+ },
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+ "text/plain": [
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+ "tokenizer.json: 0%| | 0.00/9.09M [00:00<?, ?B/s]"
246
+ ]
247
+ },
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+ "metadata": {},
249
+ "output_type": "display_data"
250
+ },
251
+ {
252
+ "data": {
253
+ "application/vnd.jupyter.widget-view+json": {
254
+ "model_id": "932920c0ee834e3e8ffe53ebf7833fa7",
255
+ "version_major": 2,
256
+ "version_minor": 0
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+ },
258
+ "text/plain": [
259
+ "special_tokens_map.json: 0%| | 0.00/449 [00:00<?, ?B/s]"
260
+ ]
261
+ },
262
+ "metadata": {},
263
+ "output_type": "display_data"
264
+ },
265
+ {
266
+ "name": "stderr",
267
+ "output_type": "stream",
268
+ "text": [
269
+ "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n",
270
+ "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n"
271
+ ]
272
+ }
273
+ ],
274
+ "source": [
275
+ "from unsloth import FastLanguageModel\n",
276
+ "import torch\n",
277
+ "\n",
278
+ "# 4bit pre quantized models we support for 4x faster downloading + no OOMs.\n",
279
+ "fourbit_models = [\n",
280
+ " \"unsloth/gpt-oss-20b-unsloth-bnb-4bit\", # 20B model using bitsandbytes 4bit quantization\n",
281
+ " \"unsloth/gpt-oss-120b-unsloth-bnb-4bit\",\n",
282
+ " \"unsloth/gpt-oss-20b\", # 20B model using MXFP4 format\n",
283
+ " \"unsloth/gpt-oss-120b\", \n",
284
+ "] # More models at https://huggingface.co/unsloth\n",
285
+ "\n",
286
+ "model, tokenizer = FastLanguageModel.from_pretrained(\n",
287
+ " model_name = \"unsloth/gpt-oss-20b-unsloth-bnb-4bit\",\n",
288
+ " dtype = None, # None for auto detection\n",
289
+ " max_seq_length = 4096, # Choose any for long context!\n",
290
+ " load_in_4bit = False, # 4 bit quantization to reduce memory\n",
291
+ " full_finetuning = False, # [NEW!] We have full finetuning now!\n",
292
+ " # token = \"hf_...\", # use one if using gated models\n",
293
+ ")"
294
+ ]
295
+ },
296
+ {
297
+ "cell_type": "markdown",
298
+ "metadata": {},
299
+ "source": [
300
+ "### Reasoning Effort\n",
301
+ "The `gpt-oss` models from OpenAI include a feature that allows users to adjust the model's \"reasoning effort.\" This gives you control over the trade-off between the model's performance and its response speed (latency) which by the amount of token the model will use to think.\n",
302
+ "\n",
303
+ "----\n",
304
+ "\n",
305
+ "The `gpt-oss` models offer three distinct levels of reasoning effort you can choose from:\n",
306
+ "\n",
307
+ "* **Low**: Optimized for tasks that need very fast responses and don't require complex, multi-step reasoning.\n",
308
+ "* **Medium**: A balance between performance and speed.\n",
309
+ "* **High**: Provides the strongest reasoning performance for tasks that require it, though this results in higher latency."
310
+ ]
311
+ },
312
+ {
313
+ "cell_type": "code",
314
+ "execution_count": null,
315
+ "metadata": {},
316
+ "outputs": [],
317
+ "source": [
318
+ "from transformers import TextStreamer\n",
319
+ "\n",
320
+ "messages = [\n",
321
+ " {\"role\": \"user\", \"content\": \"Solve x^5 + 3x^4 - 10 = 3.\"},\n",
322
+ "]\n",
323
+ "inputs = tokenizer.apply_chat_template(\n",
324
+ " messages,\n",
325
+ " add_generation_prompt = True,\n",
326
+ " return_tensors = \"pt\",\n",
327
+ " return_dict = True,\n",
328
+ " reasoning_effort = \"low\", # **NEW!** Set reasoning effort to low, medium or high\n",
329
+ ").to(model.device)\n",
330
+ "\n",
331
+ "_ = model.generate(**inputs, max_new_tokens = 512, streamer = TextStreamer(tokenizer))"
332
+ ]
333
+ },
334
+ {
335
+ "cell_type": "markdown",
336
+ "metadata": {},
337
+ "source": [
338
+ "Changing the `reasoning_effort` to `medium` will make the model think longer. We have to increase the `max_new_tokens` to occupy the amount of the generated tokens but it will give better and more correct answer"
339
+ ]
340
+ },
341
+ {
342
+ "cell_type": "code",
343
+ "execution_count": null,
344
+ "metadata": {},
345
+ "outputs": [],
346
+ "source": [
347
+ "from transformers import TextStreamer\n",
348
+ "\n",
349
+ "messages = [\n",
350
+ " {\"role\": \"user\", \"content\": \"Solve x^5 + 3x^4 - 10 = 3.\"},\n",
351
+ "]\n",
352
+ "inputs = tokenizer.apply_chat_template(\n",
353
+ " messages,\n",
354
+ " add_generation_prompt = True,\n",
355
+ " return_tensors = \"pt\",\n",
356
+ " return_dict = True,\n",
357
+ " reasoning_effort = \"medium\", # **NEW!** Set reasoning effort to low, medium or high\n",
358
+ ").to(model.device)\n",
359
+ "\n",
360
+ "_ = model.generate(**inputs, max_new_tokens = 1024, streamer = TextStreamer(tokenizer))"
361
+ ]
362
+ },
363
+ {
364
+ "cell_type": "markdown",
365
+ "metadata": {},
366
+ "source": [
367
+ "Lastly we will test it using `reasoning_effort` to `high`"
368
+ ]
369
+ },
370
+ {
371
+ "cell_type": "code",
372
+ "execution_count": null,
373
+ "metadata": {},
374
+ "outputs": [],
375
+ "source": [
376
+ "from transformers import TextStreamer\n",
377
+ "\n",
378
+ "messages = [\n",
379
+ " {\"role\": \"user\", \"content\": \"Solve x^5 + 3x^4 - 10 = 3.\"},\n",
380
+ "]\n",
381
+ "inputs = tokenizer.apply_chat_template(\n",
382
+ " messages,\n",
383
+ " add_generation_prompt = True,\n",
384
+ " return_tensors = \"pt\",\n",
385
+ " return_dict = True,\n",
386
+ " reasoning_effort = \"high\", # **NEW!** Set reasoning effort to low, medium or high\n",
387
+ ").to(model.device)\n",
388
+ "\n",
389
+ "_ = model.generate(**inputs, max_new_tokens = 2048, streamer = TextStreamer(tokenizer))"
390
+ ]
391
+ },
392
+ {
393
+ "cell_type": "markdown",
394
+ "metadata": {},
395
+ "source": [
396
+ "And we're done! If you have any questions on Unsloth, we have a [Discord](https://discord.gg/unsloth) channel! If you find any bugs or want to keep updated with the latest LLM stuff, or need help, join projects etc, feel free to join our Discord!\n",
397
+ "\n",
398
+ "Some other links:\n",
399
+ "1. Train your own reasoning model - Llama GRPO notebook [Free Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.1_(8B)-GRPO.ipynb)\n",
400
+ "2. Saving finetunes to Ollama. [Free notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3_(8B)-Ollama.ipynb)\n",
401
+ "3. Llama 3.2 Vision finetuning - Radiography use case. [Free Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.2_(11B)-Vision.ipynb)\n",
402
+ "6. See notebooks for DPO, ORPO, Continued pretraining, conversational finetuning and more on our [documentation](https://docs.unsloth.ai/get-started/unsloth-notebooks)!\n",
403
+ "\n",
404
+ "<div class=\"align-center\">\n",
405
+ " <a href=\"https://unsloth.ai\"><img src=\"https://github.com/unslothai/unsloth/raw/main/images/unsloth%20new%20logo.png\" width=\"115\"></a>\n",
406
+ " <a href=\"https://discord.gg/unsloth\"><img src=\"https://github.com/unslothai/unsloth/raw/main/images/Discord.png\" width=\"145\"></a>\n",
407
+ " <a href=\"https://docs.unsloth.ai/\"><img src=\"https://github.com/unslothai/unsloth/blob/main/images/documentation%20green%20button.png?raw=true\" width=\"125\"></a>\n",
408
+ "\n",
409
+ " Join Discord if you need help + \u2b50\ufe0f <i>Star us on <a href=\"https://github.com/unslothai/unsloth\">Github</a> </i> \u2b50\ufe0f\n",
410
+ "</div>\n"
411
+ ]
412
+ }
413
+ ],
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+ "metadata": {
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+ "accelerator": "GPU",
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+ "colab": {
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