LFM2.5-350M hits 29.7% on IFStruct after light tuning
The Hugging Face team showed you can boost the small-ish LFM2.5-350M AI model’s ability to deliver well-formatted outputs (schema compliance) by fine-tuning it with just 500 examples and 100 training steps. The benchmark score for structured output jumped from 22.6% to 29.7%. All this runs on free cloud GPUs. They’re not claiming state-of-the-art, but it’s clear: careful tweaks can level up smaller models.
- Used only 500 samples, 100 training steps
- Performance improved from 22.6% to 29.7%
- Benchmark was the open-source IFStruct test
- Fine-tuning method: Group Relative Policy Optimization (GRPO)
- Full guide and code made public
Sources covering this
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