July-Llama-2024
unslothai/unslothJuly-Llama-2024Jul 23, 2024by danielhanchen
AI Summary
Adds support for Llama 3.1, claiming 2.1x faster training and 60% less VRAM usage.
Key Highlights
- Llama 3.1 support
- 2x faster training and inference
- New chat UI on Colab
- 4bit quants uploaded to HuggingFace
New Features
- Llama 3.1 support
- faster training and inference
- Colab chat UI
- 4bit quants
Full Release Notes
# Llama 3.1 Support Excited to announce Unsloth makes finetuning Llama 3.1 2.1x faster and use 60% less VRAM! Read up on our release here: https://unsloth.ai/blog/llama3-1  We uploaded a Google Colab notebook to finetune Llama 3.1 (8B) on a free Tesla T4: [Llama 3.1 (8B) Notebook](https://colab.research.google.com/drive/1Ys44kVvmeZtnICzWz0xgpRnrIOjZAuxp?usp=sharing). We also have a [new UI on Google Colab](https://colab.research.google.com/drive/1T-YBVfnphoVc8E2E854qF3jdia2Ll2W2?usp=sharing) for chatting with your Llama 3.1 Instruct models which uses our own 2x faster inference engine. # Run UI Preview  We created a [new chat UI](https://colab.research.google.com/drive/1T-YBVfnphoVc8E2E854qF3jdia2Ll2W2?usp=sharing) using Gradio where users can upload and chat with their Llama 3.1 Instruct models online for free on Google Colab. We uploaded 4bit bitsandbytes quants here: https://huggingface.co/unsloth To finetune Llama 3.1, please update Unsloth: ```bash pip uninstall unsloth -y pip install --upgrade --force-reinstall --no-cache-dir git+https://github.com/unslothai/unsloth.git ```