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Gemma 2 vs. OPT

LLM Comparison


Gemma 2

Gemma 2

Overview

Gemma 2 succeeds the Gemma family of lightweight open models from Google built using the same processes used for the the larger Gemini models.


Gemma 2 is the successor to the Gemma family of open models, including larer models (9B and 27B parameters) with outsized performance across benchmarks. Using a combination of techniques such as training on twice as much data, knowledge distillation, and architectural improvements such as sliding window attention, logit soft-capping, and model merging, Gemma 2 outperforms models of similar size (such as Llama 3), with the 27B parameter model being competitive with models more than twice its size (such as Llama 70B).


Initial release: 2024-06-27

OPT

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 It has since been superseded by models such as LLaMA, GPT-J, and Pythia.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

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Gemma 2

OPT

Products & Features
Instruct Models
Coding Capability
Customization
Finetuning
Open Source
License Custom NA
Model Sizes 2.6B, 9B, 27B 1.3B, 2.7B, 6.7B, 13B, 30B, 66B, 175B