Why I chose Gemma4b over Mistral 7b?

Automated excerpt

Evaluation Criteria The evaluation criteria for the models are strictly defined schema, 100% batch grading, and no overflow of the context window. Unlike Mistral, a higher-parameter model, Gemma provides a sufficiently large context window, whereas Mistral's low context window caused broken output schemas that could not be used. When hardware limits the available context window, model selection becomes a problem of fit rather than raw power. For batch grading on a 6GB VRAM machine, Gemma-4b was that model. Have you faced a similar trade-off between model capability and context window?

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