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 |
|
|
|---|---|---|
| Developer | Databricks | WizardLM |
| Current generation | – | – |
| Initial release | 2023-03-24 | 2023-05-26 |
| Instruct tuned | Yes | Yes |
| Coding | No | No |
| Finetuning | Yes | Yes |
| Open source | Yes | Yes |
| License | MIT | Noncommercial |
| Model sizes | 3B, 12B | 7B, 13B, 70B, 8x22B |
| 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.
WizardLM is a variant of LLaMA trained with complex instructions.
WizardLM is a LLM based on LLaMA trained using a new method, called Evol-Instruct, on complex instruction data. By using AI to "evolve" instructions, WizardLM outperforms similar LLaMA-based LLMs trained on simpler instruction data. On the 6th of July, 2023, WizardLM V1.1 was released with significantly improved performance, and as of 15 April 2024, WizardLM-2 was released with state-of-the-art performance.