Summary
A fine-tuned 2B parameter Qwen 3.5 model significantly outperformed its larger counterparts (4B, 9B, 27B, 35B) on a real-world dictation cleanup task. This achievement was made with minimal compute cost on an RTX 4080 Super, demonstrating that smaller models can be highly effective and efficient for specialized applications. The project includes a full pipeline, code, and statistically significant evaluation results.
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