gemma-2-9b-bnb-4bit / README.md
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metadata
language:
  - en
library_name: transformers
license: gemma
tags:
  - unsloth
  - transformers
  - gemma2
  - gemma
  - google
base_model: google/gemma-2-9b

Finetune Gemma, Llama 3, 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 (9B) here: https://colab.research.google.com/drive/1vIrqH5uYDQwsJ4-OO3DErvuv4pBgVwk4?usp=sharing

✨ 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