Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!

We have a Google Colab Tesla T4 notebook for Mistral v3 7b here: https://colab.research.google.com/drive/1_yNCks4BTD5zOnjozppphh5GzMFaMKq_?usp=sharing

For conversational ShareGPT style and using Mistral v3 Instruct: https://colab.research.google.com/drive/15F1xyn8497_dUbxZP4zWmPZ3PJx1Oymv?usp=sharing

[](https://discord.gg/unsloth)

[](https://github.com/unslothai/unsloth)

✨ Finetune for Free

All notebooks are beginner friendly! Add your dataset, click "Run All", and you'll get a 2x faster finetuned model which can be exported to GGUF, vLLM or uploaded to Hugging Face.

| Unsloth supports | Free Notebooks | Performance | Memory use |

|-----------------|--------------------------------------------------------------------------------------------------------------------------|-------------|----------|

| Llama-3.2 (3B) | ▶️ Start on Colab | 2.4x faster | 58% less |

| Llama-3.2 (11B vision) | ▶️ Start on Colab | 2x faster | 60% less |

| Llama-3.1 (8B) | ▶️ Start on Colab | 2.4x faster | 58% less |

| Qwen2 VL (7B) | ▶️ Start on Colab | 1.8x faster | 60% less |

| Qwen2.5 (7B) | ▶️ Start on Colab | 2x faster | 60% less |

| Phi-3.5 (mini) | ▶️ Start on Colab | 2x faster | 50% less |

| Gemma 2 (9B) | ▶️ Start on Colab | 2.4x faster | 58% less |

| Mistral (7B) | ▶️ Start on Colab | 2.2x faster | 62% less |

| DPO - Zephyr | ▶️ Start on Colab | 1.9x faster | 19% less |

[](https://docs.unsloth.ai)

• This conversational notebook is useful for ShareGPT ChatML / Vicuna templates.
• This text completion notebook is for raw text. This DPO notebook replicates Zephyr.
• \* Kaggle has 2x T4s, but we use 1. Due to overhead, 1x T4 is 5x faster.