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GLiNER2 base

FastinoOpen weights

The smaller v1-generation GLiNER2 checkpoint.

typed-decisions
—
not run
Metatext suite
0.631
3/7 over baseline
ECE untuned
0.350
p50 per case
190 ms
four CPU cores

Specifications

Checkpoint
fastino/gliner2-base-v1
Publisher
Fastino
Mechanism
Schema-conditioned encoder (extraction + classification)
Backbone
DeBERTa-v3 (span grid)
Parameters
205M
License
Apache 2.0
Runs as
open weights, self-hosted
Library
gliner2
Primitives
Choice, Score, Noul, Extraction
Pricing
none — your compute

Metatext decisionsrank 5 of 21

Full leaderboard →
Per-question accuracy — default payload, parallel mode, 120 judgments
TaskQuestionTypeAccuracyBaselineBeats?
agent_tracesoutcomechoice0.5710.357✅
agent_tracesneeds_humannoul0.7140.714❌
customer_servicedepartmentchoice0.8500.400✅
customer_servicerefund_requestednoul0.9000.700✅
customer_servicefrustrationscore0.5000.500❌
security_incidentsseveritychoice0.3120.312❌
security_incidentsactively_exploitednoul0.6880.688❌

Published numbers

Reported by the authors or by third parties, on their own suites. Not comparable to the leaderboard above; attributed so you can check them.

Model cardFastino · 2025-07

GLiNER2 paper (arXiv 2507.18546)

Measured on: Seven zero-shot classification sets

Zero-shot classification average
0.72 (Banking77 0.70, SST-2 0.86, AG News 0.74)

Peer-visible paper; the 205M model.

Frequently asked questions

How does GLiNER2 base compare to Jev?

On the Metatext suite GLiNER2 base scores 0.631 against Jev's 0.863.

Is GLiNER2 base open source?

Yes. fastino/gliner2-base-v1 is released under Apache 2.0 and runs on your own hardware with the gliner2 library.

Can GLiNER2 base extract entities?

Yes. GLiNER2 base has a span head and scores 0.935 micro-F1 on the eight-case extraction task.