---
title: knowledgator/modern-gliner-bi-base-v1.0
description: GLiNER is a Named Entity Recognition (NER) model capable of identifying any entity type using a bidirectional transformer encoders (BERT-lik. null, null parameters.
canonical_url: https://superlinked.com/models/knowledgator-modern-gliner-bi-base-v1-0
last_updated: 2026-06-11
---

# knowledgator/modern-gliner-bi-base-v1.0

GLiNER is a Named Entity Recognition (NER) model capable of identifying any entity type using a bidirectional transformer encoders (BERT-like). It provides a practical alternative to traditional NER models, which are limited to predefined entities, and Large Language Models (LLMs) that, despite t...

Source: [knowledgator/modern-gliner-bi-base-v1.0 on HuggingFace](https://huggingface.co/knowledgator/modern-gliner-bi-base-v1.0)
Base model: [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base)

## Overview

| Field | Value |
|-------|-------|
| Architecture | null |
| Parameters | null |
| Tasks | Extract |
| Outputs | Entities |
| Max sequence length | 2,048 tokens |
| 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: 0.6644 · precision: 0.6890 · recall: 0.6415

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