Dolly
Dolly is an LLM trained using the Databricks machine learning platform. Originally released without instruct-finetuning, Dolly v2 included tuning on the Stanford Alpaca dataset.
A side-by-side comparison of release history, capabilities, licensing and model sizes.
| Attribute |
 Dolly
|
 FLAN-UL2
|
|---|---|---|
| Developer | Databricks | |
| Current generation | – | – |
| Initial release | 2023-03-24 | 2023-03-03 |
| Instruct tuned | Yes | Yes |
| Coding | No | No |
| Finetuning | Yes | Yes |
| Open source | Yes | Yes |
| License | MIT | Apache 2.0 |
| Model sizes | 3B, 12B | 20B |
| Links |
Dolly is an LLM trained using the Databricks machine learning platform. Originally released without instruct-finetuning, Dolly v2 included tuning on the Stanford Alpaca dataset.
Similar to FLAN-T5, FLAN-UL2 is a model based on Google's popular T5 architecture with an upgraded pre-training procedure dubbed UL2. On most NLU benchmarks, FLAN-UL2 outperforms FLAN-T5 by a significant margin.