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Alpaca vs. Gemma 2

LLM Comparison


Alpaca

Alpaca

Overview

Alpaca is an instruction-finetuned LLM based off of LLaMA.


The first of many instruct-finetuned versions of LLaMA, Alpaca is an instruction-following model introduced by Stanford researchers. Impressively, with only $600 of compute spend, the researchers demonstrated that on qualitative benchmarks Alpaca performed similarly to OpenAI's text-davinci-003, a significantly larger model.


Initial release: 2023-03-13

Further Reading

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

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Alpaca

Gemma 2

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