---
title: fastino/gliner2-base-v1
description: > Extract entities, classify text, parse structured data, and extract relations—all in one efficient model.. extractor, 208M parameters.
canonical_url: https://superlinked.com/models/fastino-gliner2-base-v1
last_updated: 2026-06-15
---

# fastino/gliner2-base-v1

> Extract entities, classify text, parse structured data, and extract relations—all in one efficient model.

Source: [fastino/gliner2-base-v1 on HuggingFace](https://huggingface.co/fastino/gliner2-base-v1)

## Overview

| Field | Value |
|-------|-------|
| Architecture | extractor |
| Parameters | 208M |
| Tasks | Extract |
| Outputs | Entities |
| Max sequence length | 512 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: 0.5194 · precision: 0.4300 · recall: 0.6558

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