CoolFace
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unsloth/gemma-2-2b-it

sourceHugging Facegemmaupdated 2y agoView on Hugging Face
19likes35kdownloads
Model Card

Finetune Gemma 2, Llama 3.1, Mistral 2-5x faster with 70% less memory via Unsloth!

Directly quantized 4bit model with bitsandbytes.

We have a Google Colab Tesla T4 notebook for Gemma 2 (2B) here: https://colab.research.google.com/drive/1weTpKOjBZxZJ5PQ-Ql8i6ptAY2x-FWVA?usp=sharing

We have a Google Colab Tesla T4 notebook for Gemma 2 (9B) here: https://colab.research.google.com/drive/1vIrqH5uYDQwsJ4-OO3DErvuv4pBgVwk4?usp=sharing

<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/Discord%20button.png" width="200"/> <img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/buy%20me%20a%20coffee%20button.png" width="200"/> <img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>

✨ 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 supportsFree NotebooksPerformanceMemory use
Llama 3 (8B)▶️ Start on Colab2.4x faster58% less
Gemma 2 (9B)▶️ Start on Colab2x faster63% less
Mistral (9B)▶️ Start on Colab2.2x faster62% less
Phi 3 (mini)▶️ Start on Colab2x faster63% less
TinyLlama▶️ Start on Colab3.9x faster74% less
CodeLlama (34B) A100▶️ Start on Colab1.9x faster27% less
Mistral (7B) 1xT4▶️ Start on Kaggle5x faster\*62% less
DPO - Zephyr▶️ Start on Colab1.9x faster19% less