Guanaco vs. OpenAssistant

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

OpenAssistant is a project organized by LAION with aim of providing an open source alternative to ChatGPT. Its primary effort is to collected instruct examples to then tune existing LLMs. The first major release is available as part of Hugging Face's HuggingChat.

Initial release: 2023-04-15

Reference

https://open-assistant.io/

Further Reading

• https://www.youtube.com/watch?v=ddG2fM9i4Kk