Guanaco vs. OPT
LLM Comparison
Guanaco
Overview
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.
Initial release: 2023-05-23
OPT
Overview
Open Pre-trained Transformer Language Models (OPT) is part of the family of open source models designed to replicate GPT-3, with similar decoder-only architecture. It has since been superseded by models such as LLaMA, GPT-J, and Pythia.
Initial release: 2022-05-03
Further Reading
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Sapling APIMore Comparisons
Guanaco |
OPT |
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| Open Source | ||
| License | Noncommercial | NA |
| Model Sizes | 7B, 13B, 33B, 65B | 1.3B, 2.7B, 6.7B, 13B, 30B, 66B, 175B |