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
LLaMA was previously Meta AI's most performant LLM available for researchers and noncommercial use cases. It has since been succeeded by Llama 2.
The model that launched a frenzy in open-source instruct-finetuned models, LLaMA is Meta AI's more parameter-efficient, open alternative to large commercial LLMs. Despite being smaller than many commercial models, LLaMA outperformed the gold standard GPT-3 on many benchmarks, with the primary drawback being that its access remains gated to researchers with restrictions on commercial use.
Initial release: 2023-02-24
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|Model Sizes||7B||7B, 13B, 33B, 65B|