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
MPT-7B is a set of models that are part of MosaicML's Foundation Series. Trained on 1T tokens, the developers state that it matches the performance of LLaMA while also being open source. In addition to the base model, the developers also offer MPT-7B-Instruct, MPT-7B-Chat, and MPT-7B-StoryWriter-65k+, the last of which is trained on a context length of 65K tokens.
Initial release: 2023-05-05
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