Alpaca vs. OPT
LLM Comparison
Alpaca
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
Further Reading
OPT
Overview
Open Pre-trained Transformer Language Models (OPT) is part of the family of open source models designed to replicate GPT-3, with similar decoder-only architecture. It has since been superseded by models such as LLaMA, GPT-J, and Pythia.
Initial release: 2022-05-03
Further Reading
Looking for an LLM API/SDK that works out of the box? No prompts or ad hoc guardrails.
Sapling APIMore Comparisons
Alpaca |
OPT |
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|---|---|---|
| Products & Features | ||
| Instruct Models | ||
| Coding Capability | ||
| Customization | ||
| Finetuning | ||
| Open Source | ||
| License | Noncommercial | NA |
| Model Sizes | 7B | 1.3B, 2.7B, 6.7B, 13B, 30B, 66B, 175B |