Alpaca vs. MPT

Overview

Alpaca is an instruction-finetuned LLM based off of LLaMA.

The first of many instruct-finetuned versions of LLaMA, Alpaca is an instruction-following model introduced by Stanford researchers. Impressively, with only $600 of compute spend, the researchers demonstrated that on qualitative benchmarks Alpaca performed similarly to OpenAI's text-davinci-003, a significantly larger model.

Initial release: 2023-03-13

Reference

https://crfm.stanford.edu/2023/03/13/alpaca.html

Further Reading

Overview

MPT-7B and MPT-30B are a set of models that are part of MosaicML's Foundation Series. Trained on 1T tokens, the developers state that MPT-7B matches the performance of LLaMA while also being open source, while MPT-30B outperforms the original GPT-3. In addition to the base model, the developers also offer MPT-Instruct, MPT-Chat, and MPT-7B-StoryWriter-65k+, the last of which is trained on a context length of 65K tokens.

Initial release: 2023-05-05

Reference

https://www.mosaicml.com/blog/mpt-30b

Further Reading

• https://www.mosaicml.com/blog/mpt-7b
• https://huggingface.co/mosaicml