A side-by-side comparison of release history, capabilities, licensing and model sizes.
| Attribute |
 Alpaca
|
 Falcon
|
|---|---|---|
| Developer | Stanford | TII |
| Current generation | – | – |
| Initial release | 2023-03-13 | 2023-05-23 |
| Instruct tuned | Yes | Yes |
| Coding | No | No |
| Finetuning | Yes | Yes |
| Open source | Yes | Yes |
| License | Noncommercial | Apache 2.0 |
| Model sizes | 7B | 7B, 40B |
| Links |
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.
Falcon LLM is the flagship LLM of the Technology Innovation Institute in Abu Dhabi.
Falcon LLM is a powerful LLM developed by the Technology Innovation Institute (https://www.tii.ae). Unlike other popular LLMs, Falcon was not built off of LLaMA, but instead using a custom data pipeline and distributed training system. The dataset is the RefinedWeb dataset (available on Hugging Face), and the initial models are available in 7B and 40B forms. Instruct and chat-finetuned models are available as well. Perhaps most excitingly, Falcon outperforms LLaMA, the previous de facto pretrained LLM.
