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In defense of this model, Gemma is actually a very good general-purpose model that can work with multiple languages. I use it for spam classification and for processing dictation, which means that I hold the entire model in memory all of the time, which is somewhat problematic (64GB RAM total, but heavy usage by docker, databases, etc)
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Gemma is a great reference model and it’s easy to work with. Once you have Gemma working well, then do the extra work to use Qwen as well.

I am using Gemma for a few tasks simply because it’s “good enough”.

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