A developer has created a Spanish proofreading tool that runs locally on a CPU, achieving a speed of 138 milliseconds per sentence. This tool, built using MIT and C++, is a fine-tune of the Qwen3.5-0.8B model and is compatible with any application on Windows and Linux. The developer spent approximately $2.50 on GPU rental for training, which took 22 minutes. The fine-tuned model, named revisa-0.8b, demonstrated a mean F0.5 score of 84.5 on a custom benchmark, outperforming several larger untuned models and LanguageTool, though it still lags behind cloud-based models like Claude Sonnet and Gemini 3.8 Flash. AI
IMPACT Enables efficient, local language proofreading on consumer hardware, potentially inspiring similar task-specific models.
RANK_REASON The cluster describes a fine-tuned model released as a specific application (proofreader), not a general frontier model release or research paper.
- central processing unit
- Claude Sonnet
- Gemini 3.8 Flash
- LanguageTool
- Qwen3.5-0.8B
- revisa-0.8b
- Spanish
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