Downloads · 30 days
2.7K
6% of all-time downloads
gemma-2-it-GGUF
unsloth/gemma-2-it-GGUF
gemma-2-it-GGUF is a text generation model from unsloth. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as gemma.
All-time downloads
45.1K
Public
Repo size
16.5 GB
Likes
28
Public
Repo makeup
Click a slice to open those files.
.gguf16.5 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- gemma
- Model type
- gemma2
- Access
- Public
- Created
- Jul 31, 2024
- Updated
- Jul 31, 2024
- SHA
- d7427e60
Try a prompt
Model card
From the Hugging Face model README
GGUF uploads
All popular quant variants uploaded.
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 supports | Free Notebooks | Performance | Memory use |
|---|---|---|---|
| Llama 3 (8B) | ▶️ Start on Colab | 2.4x faster | 58% less |
| Gemma 2 (9B) | ▶️ Start on Colab | 2x faster | 63% less |
| Mistral (9B) | ▶️ Start on Colab | 2.2x faster | 62% less |
| Phi 3 (mini) | ▶️ Start on Colab | 2x faster | 63% less |
| TinyLlama | ▶️ Start on Colab | 3.9x faster | 74% less |
| CodeLlama (34B) A100 | ▶️ Start on Colab | 1.9x faster | 27% less |
| Mistral (7B) 1xT4 | ▶️ Start on Kaggle | 5x faster* | 62% less |
| DPO - Zephyr | ▶️ Start on Colab | 1.9x faster | 19% less |
- 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.
- Task
- Text Generation
- Library
- transformers
- Type
- gemma2
- License
- gemma
- Languages
- en
- Created
- Jul 31, 2024
- Updated
- Jul 31, 2024