---
title: Ihor/gliner-biomed-large-v1.0
description: "The model was presented in the paper GLiNER-BioMed: A Suite of Efficient Models for Open Biomedical Named Entity Recognition.. DeBERTa, 435M parameters."
canonical_url: https://superlinked.com/models/ihor-gliner-biomed-large-v1-0
last_updated: 2026-05-26
---

# Ihor/gliner-biomed-large-v1.0

The model was presented in the paper GLiNER-BioMed: A Suite of Efficient Models for Open Biomedical Named Entity Recognition.

Source: [Ihor/gliner-biomed-large-v1.0 on HuggingFace](https://huggingface.co/Ihor/gliner-biomed-large-v1.0)
Base model: [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large)

## Overview

| Field | Value |
|-------|-------|
| Architecture | DeBERTa |
| Parameters | 435M |
| Tasks | Extract |
| Outputs | Entities |
| License | apache-2.0 |
| Inputs | text |
| Languages | en |

## Benchmarks

### CoNLL-2003

Domain: news · Task: ner · Language: en

Named entity recognition on Reuters newswire text

Corpus: 3,453 · Queries: 3,453

**Quality:** f1: 0.6439 · precision: 0.5903 · recall: 0.7082

[Reference](https://aclanthology.org/W03-0419/)