Guanaco vs. OpenLLaMA

Overview

Guanaco is an LLM based off the QLoRA 4-bit finetuning method developed by Tim Dettmers et. al. in the UW NLP group. Guanaco achieves 99% ChatGPT performance on the Vicuna benchmark.

Guanaco is an LLM that uses a finetuning method called LoRA that was developed by Tim Dettmers et. al. in the UW NLP group. With QLoRA, it becomes possible to finetune up to a 65B parameter model on a 48GB GPU without loss of performance relative to a 16-bit model. The Guanaco model family outperforms all previously released models on the Vicuna benchmark. However, given the models are based off of the LLaMA model family, commercial use is not permitted.

Initial release: 2023-05-23

Reference

https://github.com/artidoro/qlora

Further Reading

• https://arxiv.org/abs/2305.14314
• https://twitter.com/Tim_Dettmers/status/1661379354507476994

Overview

OpenLLaMA is an effort from OpenLM Research to offer a non-gated version of LLaMa that can be used both for research and commercial applications. As of June 2023, the model is still training, with 3B, 7B, and 13B parameter models available.

Initial release: 2023-04-28

Reference

https://github.com/openlm-research/open_llama

Further Reading

• https://news.ycombinator.com/item?id=35798888