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Gemma 2 vs. LLaMA

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

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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Gemma 2

LLaMA

Products & Features
Instruct Models
Coding Capability
Customization
Finetuning
Open Source
License Custom Noncommercial
Model Sizes 2.6B, 9B, 27B 7B, 13B, 33B, 65B