[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-73528":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":18,"stars30d":19,"stars90d":16,"forks30d":16,"starsTrendScore":20,"compositeScore":21,"rankGlobal":10,"rankLanguage":10,"license":22,"archived":23,"fork":23,"defaultBranch":24,"hasWiki":23,"hasPages":23,"topics":25,"createdAt":10,"pushedAt":10,"updatedAt":27,"readmeContent":28,"aiSummary":29,"trendingCount":16,"starSnapshotCount":16,"syncStatus":30,"lastSyncTime":31,"discoverSource":32},73528,"notebooks","unslothai\u002Fnotebooks","unslothai","250+ Fine-tuning & RL Notebooks for text, vision, audio, embedding, TTS models.","https:\u002F\u002Funsloth.ai\u002Fdocs",null,"Jupyter Notebook",5430,891,44,30,0,23,35,105,69,112.35,"GNU Lesser General Public License v3.0",false,"main",[26],"unsloth","2026-06-12 04:01:09","\u003Cdiv align=\"center\">\n\n  \u003Ca href=\"https:\u002F\u002Funsloth.ai\">\u003Cpicture>\n    \u003Csource media=\"(prefers-color-scheme: dark)\" srcset=\"https:\u002F\u002Fraw.githubusercontent.com\u002Funslothai\u002Funsloth\u002Fmain\u002Fimages\u002Funsloth%20logo%20white%20text.png\">\n    \u003Csource media=\"(prefers-color-scheme: light)\" srcset=\"https:\u002F\u002Fraw.githubusercontent.com\u002Funslothai\u002Funsloth\u002Fmain\u002Fimages\u002Funsloth%20logo%20black%20text.png\">\n    \u003Cimg alt=\"unsloth logo\" src=\"https:\u002F\u002Fraw.githubusercontent.com\u002Funslothai\u002Funsloth\u002Fmain\u002Fimages\u002Funsloth%20logo%20black%20text.png\" height=\"110\" style=\"max-width: 100%;\">\n  \u003C\u002Fpicture>\u003C\u002Fa>\n  \n\u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002Fgpt-oss-(20B)-Fine-tuning.ipynb\">\u003Cimg src=\"https:\u002F\u002Fraw.githubusercontent.com\u002Funslothai\u002Funsloth\u002Fmain\u002Fimages\u002Fstart free finetune button.png\" height=\"48\">\u003C\u002Fa>\n\u003Ca href=\"https:\u002F\u002Fdiscord.gg\u002Funsloth\">\u003Cimg src=\"https:\u002F\u002Fraw.githubusercontent.com\u002Funslothai\u002Funsloth\u002Fmain\u002Fimages\u002FDiscord button.png\" height=\"48\">\u003C\u002Fa>\n\u003Ca href=\"https:\u002F\u002Funsloth.ai\u002Fdocs\u002Fget-started\u002Funsloth-notebooks\">\u003Cimg src=\"https:\u002F\u002Fraw.githubusercontent.com\u002Funslothai\u002Funsloth\u002Frefs\u002Fheads\u002Fmain\u002Fimages\u002FDocumentation%20Button.png\" height=\"48\">\u003C\u002Fa>\n\n\u003C\u002Fdiv>\n\n## 📒 Fine-tuning Notebooks\nBelow are Colab notebooks, organized by model. You can also view all [notebooks in our docs](https:\u002F\u002Funsloth.ai\u002Fdocs\u002Fget-started\u002Funsloth-notebooks).\u003Cbr>The notebooks run locally and feature data prep, training and inference. Read our [fine-tuning guide](https:\u002F\u002Funsloth.ai\u002Fdocs\u002Fget-started\u002Ffine-tuning-llms-guide).\n\n### Main Notebooks\n| Model                        | Type           | Notebook Link                                                                                                                                                                                         |\n|-----------------------------|----------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| **Unsloth Studio**          | Chat UI        | [![Open in Colab](https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg)](https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FUnsloth_Studio.ipynb)                         |\n| **Gemma 4 (E2B)**           | Vision         | [![Open in Colab](https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg)](https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma4_%28E2B%29-Vision.ipynb)                |\n| **Qwen3.5 (4B)**            | Vision         | [![Open in Colab](https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg)](https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_5_%284B%29_Vision.ipynb)                 |\n| **Qwen3.5 (2B)**            | Vision         | [![Open in Colab](https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg)](https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_5_%282B%29_Vision.ipynb)                 |\n| **gpt-oss (20B)**           | Fine-tuning    | [![Open in Colab](https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg)](https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002Fgpt-oss-%2820B%29-Fine-tuning.ipynb)           |\n| **gpt-oss (20B)**           | GRPO           | [![Open in Colab](https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg)](https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002Fgpt-oss-%2820B%29-GRPO.ipynb)                  |\n| **Qwen3 (14B)**             | Conversational | [![Open in Colab](https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg)](https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_%2814B%29-Reasoning-Conversational.ipynb) |\n| **Qwen3-VL (8B)**           | Vision         | [![Open in Colab](https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg)](https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_VL_%288B%29-Vision.ipynb)                |\n| **Qwen3-Embedding (0.6B)**           | Embeddings         | [![Open in Colab](https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg)](https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_Embedding_(0_6B).ipynb)                |\n| **Qwen3: Advanced GRPO**    | GRPO           | [![Open in Colab](https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg)](https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_%284B%29-GRPO.ipynb)                     |\n| **Gemma 3 (4B)**     | Vision         | [![Open in Colab](https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg)](https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma3_%284B%29-Vision.ipynb)                  |\n| **Gemma 3N (4B)**     | Audio          | [![Open in Colab](https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg)](https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma3N_%284B%29-Audio.ipynb)                  |\n| **embeddinggemma (300M)**   | Embeddings     | [![Open in Colab](https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg)](https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FEmbeddingGemma_%28300M%29.ipynb)               |\n| **Mistral Ministral 3 (3B)**| Vision         | [![Open in Colab](https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg)](https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FMinistral_3_VL_%283B%29_Vision.ipynb)          |\n| **Mistral v0.3 (7B)**       | Vision         | [![Open in Colab](https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg)](https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FMistral_v0.3_(7B)-Alpaca.ipynb)          |\n| **Llama 3.1 (8B) Alpaca**   | Alpaca         | [![Open in Colab](https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg)](https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FLlama3.1_%288B%29-Alpaca.ipynb)                |\n| **Llama 3.2 (1B + 3B)**| Conversational | [![Open in Colab](https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg)](https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FLlama3.2_%281B_and_3B%29-Conversational.ipynb) |\n| **Phi-4 (14B)**             | Conversational | [![Open in Colab](https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg)](https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FPhi_4-Conversational.ipynb)                   |\n| **Orpheus-TTS (3B)**        | TTS            | [![Open in Colab](https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg)](https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FOrpheus_%283B%29-TTS.ipynb)                    |\n\n\u003C!-- 🛑 🚨 DO NOT EDIT MANUALLY THIS SECTION UNTIL `end of notebook links`!! 🛑 🚨 -->\n\u003C!-- 🛑 🚨 THIS SECTION IS GENERATED BY `update_all_notebooks.py` AUTOMATICALLY 🛑 🚨  -->\n\n\u003C!-- START OF EDITING -->\n### Gemma 4 Notebooks\n| Model | Type | Notebook Link |\n| --- | --- | --- |\n| **Gemma4** **(E2B)** | Sudoku (GRPO RL) | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma4** **(E2B)** | Auto Kernel Creation (GRPO RL) | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma4_(E2B)_GRPO.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma4** **(E2B)** | 2048 Game (GRPO RL) | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma4_(E2B)_Reinforcement_Learning_2048_Game.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma4** **(31B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma4_(31B)-Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma4** **(31B)** | Conversational | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma4_(31B)-Text.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma4** **(26B A4B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma4_(26B_A4B)-Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma4** **(26B A4B)** | Conversational | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma4_(26B_A4B)-Text.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma4** **(E4B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma4_(E4B)-Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma4** **(E4B)** | Conversational | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma4_(E4B)-Text.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma4** **(E4B)** | Audio | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma4_(E4B)-Audio.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma4** **(E2B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma4_(E2B)-Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma4** **(E2B)** | Conversational | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma4_(E2B)-Text.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma4** **(E2B)** | Audio | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma4_(E2B)-Audio.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n\n### GRPO & Reinforcement Learning Notebooks\n| Model | Type | Notebook Link |\n| --- | --- | --- |\n| **Llama3.1** **(8B)** | GSM8K Math + vLLM | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FLlama3.1_(8B)-GRPO.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **NeMo Gym Sudoku**  | Sudoku | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FNeMo-Gym-Sudoku.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **NeMo Gym Multi Environment**  | Multi Environment | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FNeMo-Gym-Multi-Environment.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **gpt oss BF16** **(20B)** | 2048 Game | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002Fgpt_oss_(20B)_Reinforcement_Learning_2048_Game_BF16.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **gpt oss** **(20B)** | Minesweeper Game | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002Fgpt_oss_(20B)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **gpt oss** **(20B)** | Auto Kernel Creation | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002Fgpt_oss_(20B)_GRPO_BF16.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen3** **(8B)** | DAPO Math + vLLM | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_8B_FP8_GRPO.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Llama3** **(8B)** | ORPO | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FLlama3_(8B)-ORPO.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Openenv wordle**  | Wordle + vLLM | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FOpenenv_wordle_grpo.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen2.5 VL** **(7B)** | Vision Math + vLLM | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen2_5_7B_VL_GRPO.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Zephyr** **(7B)** | DPO | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FZephyr_(7B)-DPO.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **(OpenEnv) gpt oss BF16** **(20B)** | 2048 Game | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FOpenEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game_BF16.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **gpt oss** **(20B)** | Auto Kernel Creation | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002Fgpt-oss-(20B)-GRPO.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **gpt oss** **(20B)** | 2048 Game | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002Fgpt_oss_(20B)_Reinforcement_Learning_2048_Game.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **(OpenEnv) gpt oss** **(20B)** | 2048 Game | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FOpenEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **(DGX Spark) gpt oss** **(20B)** | 2048 Game | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002Fgpt_oss_(20B)_Reinforcement_Learning_2048_Game_DGX_Spark.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **(A100) gpt oss** **(20B)** | Auto Kernel Creation | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002Fgpt-oss-(20B)_A100-GRPO.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen2.5** **(3B)** | GSM8K Math + vLLM | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen2.5_(3B)-GRPO.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Llama3.2** **(1B)** | DAPO Math + vLLM | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FLlama_FP8_GRPO.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen3 VL** **(8B)** | Vision Math | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_VL_(8B)-Vision-GRPO.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Mistral v0.3** **(7B)** | GSM8K Math + vLLM | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FMistral_v0.3_(7B)-GRPO.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen3 5** **(4B)** | Vision Math | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_5_(4B)_Vision_GRPO.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma3** **(4B)** | Vision Math | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma3_(4B)-Vision-GRPO.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Phi 4** **(14B)** | GSM8K Math + vLLM | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FPhi_4_(14B)-GRPO.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma3** **(1B)** | GSM8K Math | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma3_(1B)-GRPO.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **DeepSeek R1 0528 Qwen3** **(8B)** | DAPO Math + vLLM | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FDeepSeek_R1_0528_Qwen3_(8B)_GRPO.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **LFM2.5** **(1.2B)** | DAPO Math | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FLFM2.5_(1.2B)-GRPO.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma4** **(E2B)** | Sudoku | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma4** **(E2B)** | Auto Kernel Creation | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma4_(E2B)_GRPO.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma4** **(E2B)** | 2048 Game | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma4_(E2B)_Reinforcement_Learning_2048_Game.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen3** **(4B)** | DAPO Math + vLLM | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_(4B)-GRPO.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Ministral3** **(3B)** | Sudoku | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FMinistral_3_(3B)_Reinforcement_Learning_Sudoku_Game.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n\n### Tool Calling Notebooks\n| Model | Type | Notebook Link |\n| --- | --- | --- |\n| **Qwen2.5 Coder** **(1.5B)** | Tool Calling | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen2.5_Coder_(1.5B)-Tool_Calling.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **FunctionGemma** **(270M)** | Tool Calling | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FFunctionGemma_(270M)-Multi-Turn-Tool-Calling.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **FunctionGemma** **(270M)** | Mobile Actions | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FFunctionGemma_(270M)-Mobile-Actions.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **FunctionGemma** **(270M)** | Inference | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FFunctionGemma_(270M)-LMStudio.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **FunctionGemma** **(270M)** | Conversational | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FFunctionGemma_(270M).ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n\n### Text-to-Speech (TTS) Notebooks\n| Model | Type | Notebook Link |\n| --- | --- | --- |\n| **Spark TTS** **(0.5B)** | TTS | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FSpark_TTS_(0_5B).ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Llasa TTS** **(1B)** | TTS | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FLlasa_TTS_(1B).ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Orpheus** **(3B)** | TTS | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FOrpheus_(3B)-TTS.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Llasa TTS** **(3B)** | TTS | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FLlasa_TTS_(3B).ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Sesame CSM** **(1B)** | TTS | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FSesame_CSM_(1B)-TTS.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Oute TTS** **(1B)** | TTS | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FOute_TTS_(1B).ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n\n### Vision (Multimodal) Notebooks\n| Model | Type | Notebook Link |\n| --- | --- | --- |\n| **Qwen2.5 VL** **(7B)** | Vision Math + vLLM (GRPO RL) | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen2_5_7B_VL_GRPO.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen2.5 VL** **(7B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen2.5_VL_(7B)-Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **ERNIE 4 5 VL 28B A3B PT**  | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FERNIE_4_5_VL_28B_A3B_PT_Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen3 VL** **(8B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_VL_(8B)-Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen3 VL** **(8B)** | Vision Math (GRPO RL) | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_VL_(8B)-Vision-GRPO.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen3 5** **(4B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_5_(4B)_Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen3 5** **(4B)** | Vision Math (GRPO RL) | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_5_(4B)_Vision_GRPO.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma3** **(4B)** | Vision Math (GRPO RL) | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma3_(4B)-Vision-GRPO.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen3 5** **(0 8B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_5_(0_8B)_Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma4** **(31B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma4_(31B)-Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen2 VL** **(7B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen2_VL_(7B)-Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Llama3.2** **(11B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FLlama3.2_(11B)-Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen3 5** **(2B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_5_(2B)_Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma4** **(26B A4B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma4_(26B_A4B)-Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma4** **(E4B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma4_(E4B)-Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma4** **(E2B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma4_(E2B)-Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Pixtral** **(12B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FPixtral_(12B)-Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **LFM2.5 VL** **(1.6B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FLFM2.5_VL_(1.6B)-Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Ministral3 VL** **(3B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FMinistral_3_VL_(3B)_Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma3** **(4B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma3_(4B)-Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma3N** **(4B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma3N_(4B)-Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n\n### Embedding Notebooks\n| Model | Type | Notebook Link |\n| --- | --- | --- |\n| **ModernBert**  |  | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FModernBert.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen3 Embedding** **(4B)** |  | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_Embedding_(4B).ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen3 Embedding** **(0 6B)** |  | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_Embedding_(0_6B).ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **EmbeddingGemma** **(300M)** |  | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FEmbeddingGemma_(300M).ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **BGE M3**  |  | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FBGE_M3.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **ModernBERT** **(Large)** | Classification | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002Fbert_classification.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **All MiniLM L6 v2**  |  | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FAll_MiniLM_L6_v2.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n\n### Speech-to-Text (STT) Notebooks\n| Model | Type | Notebook Link |\n| --- | --- | --- |\n| **Whisper** **(Large)** | Fine Tuning | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FWhisper.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n\n### OCR Notebooks\n| Model | Type | Notebook Link |\n| --- | --- | --- |\n| **Deepseek OCR** **(3B)** | Fine Tuning | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FDeepseek_OCR_(3B).ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Deepseek OCR** **(3B)** | Evaluation | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FDeepseek_OCR_(3B)-Evaluation.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Deepseek OCR** **(3B)** | Eval | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FDeepseek_OCR_(3B)-Eval.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Deepseek OCR 2** **(3B)** |  | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FDeepseek_OCR_2_(3B).ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Paddle OCR** **(1B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FPaddle_OCR_(1B)_Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n\n### BERT Notebooks\n| Model | Type | Notebook Link |\n| --- | --- | --- |\n| **ModernBert**  |  | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FModernBert.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **ModernBERT** **(Large)** | Classification | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002Fbert_classification.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n\n### Deepseek Notebooks\n| Model | Type | Notebook Link |\n| --- | --- | --- |\n| **Deepseek OCR** **(3B)** | Fine Tuning | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FDeepseek_OCR_(3B).ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Deepseek OCR** **(3B)** | Evaluation | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FDeepseek_OCR_(3B)-Evaluation.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Deepseek OCR** **(3B)** | Eval | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FDeepseek_OCR_(3B)-Eval.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Deepseek OCR 2** **(3B)** |  | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FDeepseek_OCR_2_(3B).ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n\n### ERNIE Notebooks\n| Model | Type | Notebook Link |\n| --- | --- | --- |\n| **ERNIE 4 5 VL 28B A3B PT**  | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FERNIE_4_5_VL_28B_A3B_PT_Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **ERNIE 4 5 21B A3B PT**  | Conversational | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FERNIE_4_5_21B_A3B_PT-Conversational.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n\n### GLM Notebooks\n| Model | Type | Notebook Link |\n| --- | --- | --- |\n| **(A100) GLM Flash(80GB)**  |  | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGLM_Flash_A100(80GB).ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n\n### GPT-OSS Notebooks\n| Model | Type | Notebook Link |\n| --- | --- | --- |\n| **gpt oss MXFP4** **(20B)** | Inference | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGPT_OSS_MXFP4_(20B)-Inference.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **gpt oss** **(20B)** | Fine Tuning | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002Fgpt_oss_(20B)_500K_Context_Fine_tuning.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **gpt oss** **(20B)** | Fine Tuning | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002Fgpt-oss-(20B)-Fine-tuning.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **gpt oss BNB** **(20B)** | Inference | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGPT_OSS_BNB_(20B)-Inference.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **(A100) gpt oss** **(120B)** | Fine Tuning | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002Fgpt-oss-(120B)_A100-Fine-tuning.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n\n### Gemma Notebooks\n| Model | Type | Notebook Link |\n| --- | --- | --- |\n| **Gemma3** **(4B)** | Conversational | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma3_(4B).ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **(A100) Gemma3** **(27B)** | Conversational | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma3_(27B)_A100-Conversational.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma3** **(270M)** | Conversational | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma3_(270M).ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma3** **(270M)** |  | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma3_(270M)_Phone_Deployment.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma3N** **(4B)** | Multimodal | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma3N_(4B)-Conversational.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma3N** **(4B)** | Audio | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma3N_(4B)-Audio.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma3N** **(2B)** | Inference | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma3N_(2B)-Inference.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma3** **(4B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma3_(4B)-Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma3N** **(4B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma3N_(4B)-Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **EmbeddingGemma** **(300M)** |  | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FEmbeddingGemma_(300M).ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma2** **(9B)** | Alpaca | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma2_(9B)-Alpaca.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Gemma2** **(2B)** | Alpaca | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGemma2_(2B)-Alpaca.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **CodeGemma** **(7B)** | Conversational | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FCodeGemma_(7B)-Conversational.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n\n### Granite Notebooks\n| Model | Type | Notebook Link |\n| --- | --- | --- |\n| **Granite4.0** **(3B)** | Conversational | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGranite4.0.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Granite4.0** **(350M)** | Conversational | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FGranite4.0_350M.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n\n### Hybrid Attention Notebooks\n| Model | Type | Notebook Link |\n| --- | --- | --- |\n| **LFM2.5** **(1.2B)** | Conversational | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FLFM2.5_(1.2B)-Conversational.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **LFM2.5 VL** **(1.6B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FLFM2.5_VL_(1.6B)-Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Liquid LFM2** **(1.2B)** | Conversational | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FLiquid_LFM2_(1.2B)-Conversational.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Liquid LFM2**  | Conversational | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FLiquid_LFM2-Conversational.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **LFM2.5** **(1.2B)** |  | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FLFM2.5_(1.2B)-Translation.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Falcon H1** **(0.5B)** | Alpaca | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FFalcon_H1_(0.5B)-Alpaca.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Falcon H1**  | Alpaca | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FFalcon_H1-Alpaca.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n\n### Llama Notebooks\n| Model | Type | Notebook Link |\n| --- | --- | --- |\n| **Llama3.1** **(8B)** | Inference | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FLlama3.1_(8B)-Inference.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Llama3** **(8B)** | Ollama | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FLlama3_(8B)-Ollama.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Llama3** **(8B)** | Alpaca | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FLlama3_(8B)-Alpaca.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Llama3.2** **(1B)** | RAFT | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FLlama3.2_(1B)-RAFT.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Llama3.2** **(1B and 3B)** | Conversational | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FLlama3.2_(1B_and_3B)-Conversational.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Llama3.1** **(8B)** | Alpaca | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FLlama3.1_(8B)-Alpaca.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **(A100) Llama3.3** **(70B)** | Conversational | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FLlama3.3_(70B)_A100-Conversational.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Llama3.2** **(11B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FLlama3.2_(11B)-Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Llama3** **(8B)** | Conversational | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FLlama3_(8B)-Conversational.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **TinyLlama** **(1.1B)** | Alpaca | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FTinyLlama_(1.1B)-Alpaca.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n\n### Mistral Notebooks\n| Model | Type | Notebook Link |\n| --- | --- | --- |\n| **Mistral v0.3** **(7B)** | Conversational | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FMistral_v0.3_(7B)-Conversational.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Magistral** **(24B)** | Reasoning Conversational | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FMagistral_(24B)-Reasoning-Conversational.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Pixtral** **(12B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FPixtral_(12B)-Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Mistral Small** **(22B)** | Alpaca | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FMistral_Small_(22B)-Alpaca.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Ministral3 VL** **(3B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FMinistral_3_VL_(3B)_Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Mistral v0.3** **(7B)** | Alpaca | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FMistral_v0.3_(7B)-Alpaca.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Mistral Nemo** **(12B)** | Alpaca | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FMistral_Nemo_(12B)-Alpaca.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n\n### Nemotron Notebooks\n| Model | Type | Notebook Link |\n| --- | --- | --- |\n| **(A100) Nemotron Nano 3 30B A3B**  |  | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FNemotron-Nano-3-30B-A3B_A100.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **(A100) Nemotron 3 Nano 30B A3B**  |  | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FNemotron-3-Nano-30B-A3B_A100.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n\n### Paddle Notebooks\n| Model | Type | Notebook Link |\n| --- | --- | --- |\n| **Paddle OCR** **(1B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FPaddle_OCR_(1B)_Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n\n### Phi Notebooks\n| Model | Type | Notebook Link |\n| --- | --- | --- |\n| **Phi 4**  | Conversational | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FPhi_4-Conversational.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Phi 3.5 Mini**  | Conversational | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FPhi_3.5_Mini-Conversational.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Phi 3 Medium**  | Conversational | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FPhi_3_Medium-Conversational.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n\n### Qwen Notebooks\n| Model | Type | Notebook Link |\n| --- | --- | --- |\n| **Qwen3** **(0.6B)** | Reasoning Conversational | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_(0.6B)-Reasoning-Conversational-ExecuTorch.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen3** **(0 6B)** |  | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_(0_6B)-Phone_Deployment.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen3 6 MoE**  |  | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_6_MoE.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen3** **(4B)** | QAT | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_(4B)_Instruct-QAT.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen3** **(4B)** | Conversational | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_(4B)-Instruct.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen2.5 VL** **(7B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen2.5_VL_(7B)-Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen3 VL** **(8B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_VL_(8B)-Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen3 5 MoE**  |  | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_5_MoE.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **(A100) Qwen 3 5 27B(80GB)**  |  | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen_3_5_27B_A100(80GB).ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **(A100) Qwen3** **(32B)** | Reasoning Conversational | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_(32B)_A100-Reasoning-Conversational.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen3 5** **(4B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_5_(4B)_Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen3** **(14B)** | Reasoning Conversational | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_(14B)-Reasoning-Conversational.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen3** **(14B)** |  | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_(14B).ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen3 5** **(0 8B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_5_(0_8B)_Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen2 VL** **(7B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen2_VL_(7B)-Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen3** **(4B)** | Thinking | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_(4B)-Thinking.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen3 MoE**  |  | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_MoE.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen3 5** **(2B)** | Vision | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_5_(2B)_Vision.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen2.5** **(7B)** | Alpaca | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen2.5_(7B)-Alpaca.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen2.5 Coder** **(14B)** | Conversational | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen2.5_Coder_(14B)-Conversational.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen3 Embedding** **(4B)** |  | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_Embedding_(4B).ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen3 Embedding** **(0 6B)** |  | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_Embedding_(0_6B).ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen3** **(14B)** | Alpaca | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen3_(14B)-Alpaca.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Qwen2** **(7B)** | Alpaca | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen2_(7B)-Alpaca.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **TinyQwen3 MoE**  |  | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FTinyQwen3_MoE.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n\n### Text Completion \u002F Continued Pretraining Notebooks\n| Model | Type | Notebook Link |\n| --- | --- | --- |\n| **LFM2.5** **(1.2B)** | Text Completion | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FLFM2.5_(1.2B)-Text_Completion.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Mistral v0.3** **(7B)** | CPT | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FMistral_v0.3_(7B)-CPT.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Mistral** **(7B)** | Text Completion | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FMistral_(7B)-Text_Completion.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n\n### Specific use-case Notebooks\n| Usecase | Model | Notebook Link |\n| --- | --- | --- |\n| Text Classification | Llama 3.1 (8B) | [![Open In Colab](https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg)](https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Ftimothelaborie\u002Ftext_classification_scripts\u002Fblob\u002Fmain\u002Funsloth_classification.ipynb) |\n| Tool Calling | Qwen2.5-Coder (1.5B) | [![Open In Colab](https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg)](https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FQwen2.5_Coder_(1.5B)-Tool_Calling.ipynb) |\n| Multiple Datasets | | [![Open In Colab](https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg)](https:\u002F\u002Fcolab.research.google.com\u002Fdrive\u002F1njCCbE1YVal9xC83hjdo2hiGItpY_D6t?usp=sharing) |\n| KTO | Qwen2.5-Instruct (1.5B) | [![Open In Colab](https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg)](https:\u002F\u002Fcolab.research.google.com\u002Fdrive\u002F1MRgGtLWuZX4ypSfGguFgC-IblTvO2ivM?usp=sharing) |\n| Inference Chat UI | LLaMa 3.2 Vision | [![Open In Colab](https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg)](https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FUnsloth_Studio.ipynb) |\n| Conversational | LLaMa 3.2 (1B and 3B) | [![Open In Colab](https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg)](https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FLlama3.2_(1B_and_3B)-Conversational.ipynb) |\n| ChatML | Mistral (7B) | [![Open In Colab](https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg)](https:\u002F\u002Fcolab.research.google.com\u002Fdrive\u002F15F1xyn8497_dUbxZP4zWmPZ3PJx1Oymv?usp=sharing) |\n| Text Completion | Mistral (7B) | [![Open In Colab](https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg)](https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FMistral_(7B)-Text_Completion.ipynb) |\n\n### Other Notebooks\n| Model | Type | Notebook Link |\n| --- | --- | --- |\n| **CodeForces cot Finetune\u003Cbr>for Reasoning on CodeForces**  | Reasoning | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FCodeForces-cot-Finetune_for_Reasoning_on_CodeForces.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Synthetic Data Hackathon**  | Synthetic Data | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FSynthetic_Data_Hackathon.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n| **Unsloth**  | Studio | \u003Ca href=\"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FUnsloth_Studio.ipynb\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fcolab.research.google.com\u002Fassets\u002Fcolab-badge.svg\" alt=\"Open In Colab\">\u003C\u002Fa> |\n\n# 📒 Kaggle Notebooks\n\u003Cdetails>\n  \u003Csummary>\n    Click for all our Kaggle notebooks categorized by model:\n  \u003C\u002Fsummary>\n\n### GRPO & Reinforcement Learning Notebooks\n| Model | Type | Notebook Link |\n| --- | --- | --- |\n| **Llama3.1** **(8B)** | GSM8K Math + vLLM | \u003Ca href=\"https:\u002F\u002Fwww.kaggle.com\u002Fnotebooks\u002Fwelcome?src=https:\u002F\u002Fgithub.com\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FKaggle-Llama3.1_(8B)-GRPO.ipynb&accelerator=nvidiaTeslaT4\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fkaggle.com\u002Fstatic\u002Fimages\u002Fopen-in-kaggle.svg\" alt=\"Open in Kaggle\">\u003C\u002Fa> |\n| **gpt oss** **(20B)** | Minesweeper Game | \u003Ca href=\"https:\u002F\u002Fwww.kaggle.com\u002Fnotebooks\u002Fwelcome?src=https:\u002F\u002Fgithub.com\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FKaggle-gpt_oss_(20B)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.ipynb&accelerator=nvidiaTeslaT4\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fkaggle.com\u002Fstatic\u002Fimages\u002Fopen-in-kaggle.svg\" alt=\"Open in Kaggle\">\u003C\u002Fa> |\n| **gpt oss** **(20B)** | Auto Kernel Creation | \u003Ca href=\"https:\u002F\u002Fwww.kaggle.com\u002Fnotebooks\u002Fwelcome?src=https:\u002F\u002Fgithub.com\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FKaggle-gpt_oss_(20B)_GRPO_BF16.ipynb&accelerator=nvidiaTeslaT4\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fkaggle.com\u002Fstatic\u002Fimages\u002Fopen-in-kaggle.svg\" alt=\"Open in Kaggle\">\u003C\u002Fa> |\n| **Qwen3** **(8B)** | DAPO Math + vLLM | \u003Ca href=\"https:\u002F\u002Fwww.kaggle.com\u002Fnotebooks\u002Fwelcome?src=https:\u002F\u002Fgithub.com\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FKaggle-Qwen3_8B_FP8_GRPO.ipynb&accelerator=nvidiaTeslaT4\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fkaggle.com\u002Fstatic\u002Fimages\u002Fopen-in-kaggle.svg\" alt=\"Open in Kaggle\">\u003C\u002Fa> |\n| **Llama3** **(8B)** | ORPO | \u003Ca href=\"https:\u002F\u002Fwww.kaggle.com\u002Fnotebooks\u002Fwelcome?src=https:\u002F\u002Fgithub.com\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FKaggle-Llama3_(8B)-ORPO.ipynb&accelerator=nvidiaTeslaT4\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fkaggle.com\u002Fstatic\u002Fimages\u002Fopen-in-kaggle.svg\" alt=\"Open in Kaggle\">\u003C\u002Fa> |\n| **Qwen2.5 VL** **(7B)** | Vision Math + vLLM | \u003Ca href=\"https:\u002F\u002Fwww.kaggle.com\u002Fnotebooks\u002Fwelcome?src=https:\u002F\u002Fgithub.com\u002Funslothai\u002Fnotebooks\u002Fblob\u002Fmain\u002Fnb\u002FKaggle-Qwen2_5_7B_VL_GRPO.ipynb&accelerator=nvidiaTeslaT4\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cimg src=\"https:\u002F\u002Fkaggle.com\u002Fstatic\u002Fimages\u002Fopen-in-kaggle.svg\" alt=\"Open in Kaggle\">\u003C\u002Fa> |\n| **Ministral3** **(3B)** | Sudoku | \u003Ca href=\"https:\u002F\u002Fwww.kaggle.com\u002Fnotebooks\u002Fwelcome?src=https:\u002F\u002Fgithub.com\u002Funs","unslothai\u002Fnotebooks 项目提供了超过250个用于文本、视觉、音频、嵌入和TTS模型微调及强化学习的Jupyter Notebook。该项目的核心功能包括数据预处理、训练以及推理，支持多种模型类型如Qwen3.5 (4B)、Gemma 4 (E2B)等，并且可以直接在Google Colab上运行，便于用户快速开始实验。其技术特点在于提供了一套完整的从数据准备到模型应用的流程示例，特别适合于需要对现有AI模型进行定制化调整的研究人员或开发者使用。此外，项目采用GNU Lesser General Public License v3.0许可发布，鼓励了更广泛的社区参与和贡献。",2,"2026-06-11 03:45:59","high_star"]