📒Unsloth Notebooks

Explore our catalog of Unsloth notebooks:

Also see our GitHub repo for our notebooks: github.com/unslothai/notebooks

GRPO (RL)Text-to-speechVisionUse-caseKaggle

Colab notebooks

Standard notebooks:

• gpt-oss (20b) • Inference • Fine-tuning

• Mistral Ministral 3 - new

• DeepSeek-OCR - new

• Qwen3 (14B) • Qwen3-VL (8B) - new

• Qwen3-2507-4B • Thinking • Instruct

• Gemma 3n (E4B) • Text • Vision • Audio

• IBM Granite-4.0-H

• Gemma 3 (4B) • Text • Vision • 270M

• Phi-4 (14B)

• Llama 3.1 (8B) • Llama 3.2 (1B + 3B)

GRPO (Reasoning RL) notebooks:

• gpt-oss-20b (automatic kernels creation)

• Mistral Ministral 3 (solving sodoku) - new

• Qwen3-8B - FP8 (L4) - new

• Llama-3.2-1B - FP8 (L4) - new

• gpt-oss-20b (auto win 2048 game)

• Qwen3-VL (8B) - Vision GSPO

• Qwen3 (4B) - Advanced GRPO LoRA

• Gemma 3 (4B) - Vision GSPO

• DeepSeek-R1-0528-Qwen3 (8B) (for multilingual usecase)

• Gemma 3 (1B)

• Llama 3.2 (3B) - Advanced GRPO LoRA

• Llama 3.1 (8B)

• Phi-4 (14B)

• Mistral v0.3 (7B)

Text-to-Speech (TTS) notebooks:

• Sesame-CSM (1B)

• Orpheus-TTS (3B)

• Whisper Large V3 - Speech-to-Text (STT)

• Llasa-TTS (1B)

• Spark-TTS (0.5B)

• Oute-TTS (1B)

Speech-to-Text (SST) notebooks:

• Whisper-Large-V3

• Gemma 3n (E4B) - Audio

Vision (Multimodal) notebooks:

• Mistral Ministral 3 - new

• Qwen3-VL (8B) - new

• DeepSeek-OCR - new

• Gemma 3n (E4B)

• Gemma 3 (4B)

• Llama 3.2 Vision (11B)

• Qwen2.5-VL (7B)

• Pixtral (12B) 2409

• Qwen3-VL - Vision GSPO - new

• Qwen2.5-VL - Vision GSPO

• Gemma 3 (4B) - Vision GSPO

Large LLM notebooks:

Notebooks for large models: These exceed Colab’s free 15 GB VRAM tier. With Colab’s new 80 GB GPUs, you can fine-tune 120B parameter models.

Colab subscription or credits are required. We don't earn anything from these notebooks.

• gpt-oss-20b (500K context) - new

• gpt-oss-120b

• Qwen3 (32B)

• Llama 3.3 (70B)

• Gemma 3 (27B)

• Baidu ERNIE 4.5 VL (28B) - new

Other important notebooks:

• Customer support agent

• Mistral Ministral 3 - new (solving sodoku)

• Quantization-Aware Training (QAT) - new

• Automatic Kernel Creation with RL

• ModernBERT-large - new Aug 19

• Synthetic Data Generation Llama 3.2 (3B)

• gpt-oss-20b (500K context) - new (A100)

• Tool Calling

• Mistral v0.3 Instruct (7B)

• Ollama

• ORPO

• Continued Pretraining

• DPO Zephyr

• Inference only

• Llama 3 (8B)

Specific use-case notebooks:

• Customer support agent

• Quantization-Aware Training (QAT) - new

• Automatic Kernel Creation with RL - new

• DPO Zephyr

• BERT - Text Classification - (AutoModelForSequenceClassification)

• Ollama

• Tool Calling

• Continued Pretraining (CPT)

• Multiple Datasets by Flail

• KTO by Jeffrey

• Inference chat UI

• Conversational

• ChatML

• Text Completion

Rest of notebooks:

• Qwen2.5 (3B)

• Gemma 2 (9B)

• Mistral NeMo (12B)

• Phi-3.5 (mini)

• Phi-3 (medium)

• Gemma 2 (2B)

• Qwen 2.5 Coder (14B)

• Mistral Small (22B)

• TinyLlama

• CodeGemma (7B)

• Mistral v0.3 (7B)

• Qwen2 (7B)

Kaggle notebooks

Standard notebooks:

• gpt-oss (20B) - new

• Gemma 3n (E4B)

• Qwen3 (14B)

• Magistral-2509 (24B) - new

• Gemma 3 (4B)

• Phi-4 (14B)

• Llama 3.1 (8B)

• Llama 3.2 (1B + 3B)

• Qwen 2.5 (7B)

GRPO (Reasoning) notebooks:

• Qwen2.5-VL - Vision GRPO - new

• Qwen3 (4B)

• Gemma 3 (1B)

• Llama 3.1 (8B)

• Phi-4 (14B)

• Qwen 2.5 (3B)

Text-to-Speech (TTS) notebooks:

• Sesame-CSM (1B)

• Orpheus-TTS (3B)

• Whisper Large V3 – Speech-to-Text

• Llasa-TTS (1B)

• Spark-TTS (0.5B)

• Oute-TTS (1B)

Vision (Multimodal) notebooks:

• Llama 3.2 Vision (11B)

• Qwen 2.5-VL (7B)

• Pixtral (12B) 2409

Specific use-case notebooks:

• Tool Calling

• ORPO

• Continued Pretraining

• DPO Zephyr

• Inference only

• Ollama

• Text Completion

• CodeForces-cot (Reasoning)

• Unsloth Studio (chat UI)

Rest of notebooks:

• Gemma 2 (9B)

• Gemma 2 (2B)

• CodeGemma (7B)

• Mistral NeMo (12B)

• Mistral Small (22B)

• TinyLlama (1.1B)

To view a complete list of all our Kaggle notebooks, click here.

Feel free to contribute to the notebooks by visiting our repo!