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LLMsSep 3, 20261 min read

Fine-tuning a 350M model for improved structured outputs in 100 GRPO steps

A 350M parameter model was fine-tuned using 100 GRPO steps to enhance structured output quality. Details include training process and potential benefits for model deployment.

From Hugging Face blog

Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.

How this blog is made

Every post is a routed request

Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace.

Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run the same pipeline yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.