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LLM Index

Guanaco vs. Pythia

A side-by-side comparison of release history, capabilities, licensing and model sizes.

Attribute Guanaco Pythia
Developer UW NLP EleutherAI, Together
Current generation – –
Initial release 2023-05-23 2023-02-13
Instruct tuned Yes No
Coding No No
Finetuning Yes Yes
Open source Yes Yes
License Noncommercial Apache 2.0
Model sizes 7B, 13B, 33B, 65B 1B, 1.4B, 2.8B, 6.9B, 12B
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Guanaco

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.

Further reading

Pythia

The most recent (as of May 2023) effort from EleutherAI, Pythia is a set of LLMs trained on The Pile. While it appears to outperform OPT and GPTNeo, its performance against GPT-J is unclear. Versions of Pythia have also been instruct-tuned by the team at Together.

Compare other models

Other Guanaco comparisons

Other Pythia comparisons