GPTNeo
GPTNeo is a model released by EleutherAI to try and provide an open source model with capabilities similar to OpenAI's GPT-3 model. One of the earliest such models, GPTNeo was trained on The Pile, Eleuther's corpus of web text.
A side-by-side comparison of release history, capabilities, licensing and model sizes.
| Attribute |
 GPTNeo
|
 Guanaco
|
|---|---|---|
| Developer | EleutherAI, Together | UW NLP |
| Current generation | – | – |
| Initial release | 2021-03-21 | 2023-05-23 |
| Instruct tuned | No | Yes |
| Coding | No | No |
| Finetuning | Yes | Yes |
| Open source | Yes | Yes |
| License | Apache 2.0 | Noncommercial |
| Model sizes | 1.3B, 2.7B | 7B, 13B, 33B, 65B |
| Links |
GPTNeo is a model released by EleutherAI to try and provide an open source model with capabilities similar to OpenAI's GPT-3 model. One of the earliest such models, GPTNeo was trained on The Pile, Eleuther's corpus of web text.
Guanaco is an LLM based off the QLoRA 4-bit finetuning method developed by Tim Dettmers et. al. in the UW NLP group. Guanaco achieves 99% ChatGPT performance on the Vicuna benchmark.
Guanaco is an LLM that uses a finetuning method called LoRA that was developed by Tim Dettmers et. al. in the UW NLP group. With QLoRA, it becomes possible to finetune up to a 65B parameter model on a 48GB GPU without loss of performance relative to a 16-bit model. The Guanaco model family outperforms all previously released models on the Vicuna benchmark. However, given the models are based off of the LLaMA model family, commercial use is not permitted.