NuExtract 1.5. Structured extraction - where an LLM helps turn unstructured text (or image content) into structured data - remains one of the most directly useful applications of LLMs.
NuExtract is a family of small models directly trained for this purpose (though text only at the moment) and released under the MIT license.
It comes in a variety of shapes and sizes:
- NuExtract-v1.5 is a 3.8B parameter model fine-tuned on Phi-3.5-mini instruct. You can try this one out in this playground.
- NuExtract-tiny-v1.5 is 494M parameters, fine-tuned on Qwen2.5-0.5B.
- NuExtract-1.5-smol is 1.7B parameters, fine-tuned on SmolLM2-1.7B.
All three models were fine-tuned on NuMind's "private high-quality dataset". It's interesting to see a model family that uses one fine-tuning set against three completely different base models.
Useful tip from Steffen Rocker:
Make sure to use it with low temperature, I've uploaded NuExtract-tiny-v1.5 to Ollama and set it to 0. With the Ollama default of 0.7 it started repeating the input text. It works really well despite being so smol.
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