Alpaca vs. StableVicuna
LLM Comparison
Overview
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
Overview
StableVicuna is an RLHF finetune of Vicuna using datasets such as the OpenAssistant Conversations Dataset and the GPT4All Prompt Generations dataset.
Initial release: 2023-04-28
Alpaca |
StableVicuna |
|
|---|---|---|
| Products & Features | ||
| Instruct Models | ||
| Coding Capability | ||
| Customization | ||
| Finetuning | ||
| Open Source | ||
| License | Noncommercial | Noncommercial |
| Model Sizes | 7B | 13B |