Alpaca vs. Koala
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
Koala
Overview
Released alongside Vicuna, Koala is one of many descendants of the Meta LLaMA model trained on dialogue data collected from the web. On the developers' benchmarks, Koala outperforms its sibling Alpaca, though its adoption has been significantly less than that of its other sibling, Vicuna. Due to its use of LLaMA, only research use is permitted.
Initial release: 2023-04-03
Further Reading
Looking for an LLM API/SDK that works out of the box? No prompts or ad hoc guardrails.
Sapling APIMore Comparisons
Alpaca |
Koala |
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|---|---|---|
| Products & Features | ||
| Instruct Models | ||
| Coding Capability | ||
| Customization | ||
| Finetuning | ||
| Open Source | ||
| License | Noncommercial | Noncommercial |
| Model Sizes | 7B | 7B, 13B |