BLOOMChat vs. Guanaco

Overview

BLOOMChat is a variant of the BLOOM language model with instruction fine-tuning.

BLOOMChat is a 176 billion parameter language model based on BLOOM trained using SambaNova's Reconfigurable Data Units. Based on BLOOM, BLOOMChat is also multilingual, and provides a HuggingFace chat interface and model.

Initial release: 2023-05-19

Reference

https://sambanova.ai/blog/introducing-bloomchat-176b-the-multilingual-chat-based-llm/

Further Reading

• https://huggingface.co/spaces/sambanovasystems/BLOOMChat
• https://huggingface.co/sambanovasystems/BLOOMChat-176B-v1
• https://github.com/sambanova/bloomchat

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