A side-by-side comparison of release history, capabilities, licensing and model sizes.
| Attribute |
 Koala
|
 Orca
|
|---|---|---|
| Developer | BAIR | Microsoft |
| Current generation | – | – |
| Initial release | 2023-04-03 | 2023-06-05 |
| Instruct tuned | Yes | Yes |
| Coding | No | No |
| Finetuning | Yes | Yes |
| Open source | Yes | Yes |
| License | Noncommercial | Noncommercial |
| Model sizes | 7B, 13B | 13B |
| Links |
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.
Orca is a descendant of LLaMA developed by Microsoft with finetuning on explanation traces obtained from GPT-4.
Orca-13B is a LLM developed by Microsoft. It is based on LLaMA with finetuning on complex explanation traces obtained from GPT-4. By using rich signals, Orca surpasses the performance of models such as Vicuna-13B on complex tasks. However, given its model backbone and the data used for its finetuning, Orca is under noncommercial use.