[r/LocalLLaMA] We benchmarked 15 small language models across 9 tasks to find which one you should actually fine-tune. Here are the results.

Summary

A comprehensive benchmark was conducted on 15 small language models (SLMs) across 9 diverse tasks, including classification, information extraction, and QA. The study aimed to provide data-driven insights to help developers choose the optimal base model for fine-tuning, addressing the challenge of selecting from numerous SLM options like Qwen3, Llama 3.2, and Gemma 3. This research offers practical guidance for fine-tuning efforts, moving beyond intuition to systematic evaluation.

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