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Dharma-AI releases Dharma Field Extractor for document data

Dharma-AI introduces Dharma Field Extractor, a two-billion-parameter model that pulls structured JSON fields from any document type.

Dharma-AI releases Dharma Field Extractor for document data — image from Hugging Face
Image: Hugging Face

Summary

Dharma-AI released Dharma Field Extractor, a two-billion-parameter model designed to extract specific fields from document images and return structured JSON. The model runs self-hosted on a single L40S GPU and was trained on top of DharmaOCR-LITE v1.1 using a LoRA adapter across English, Brazilian, and multilingual data streams. The creators report it outperforms tested frontier configurations on their benchmark at a lower cost.

What changed

  • Released Dharma Field Extractor, a 2-billion-parameter model for document field extraction into JSON.
  • Trained a LoRA adapter on 43,384 training examples covering English, Brazilian, and multilingual data streams.
  • Set model operation for a self-hosted single L40S GPU at $2.24 per hour.

Availability

Available now

“You can try it yourself here .”

Founder takeaway

Evaluate Dharma Field Extractor if your stack requires document field extraction and you want to test self-hosted small models against frontier APIs.

Source

Hugging FaceDharma Field Extractor: Any Document In, Structured Fields in JSON Out

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