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Guanaco vs. LLaMA

LLM Comparison


Guanaco

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

LLaMA

LLaMA

Overview

LLaMA was previously Meta AI's most performant LLM available for researchers and noncommercial use cases. It has since been succeeded by Llama 2.


The model that launched a frenzy in open-source instruct-finetuned models, LLaMA is Meta AI's more parameter-efficient, open alternative to large commercial LLMs. Despite being smaller than many commercial models, LLaMA outperformed the gold standard GPT-3 on many benchmarks, with the primary drawback being that its access remains gated to researchers with restrictions on commercial use.


Initial release: 2023-02-24

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Guanaco

LLaMA

Products & Features
Instruct Models
Coding Capability
Customization
Finetuning
Open Source
License Noncommercial Noncommercial
Model Sizes 7B, 13B, 33B, 65B 7B, 13B, 33B, 65B