language encoder
GLiNER multi v2.1
GLiNER multi v2.1, a checkpoint of the GLiNER family. Bidirectional encoder that extracts entities of any type named at run time, a small alternative to large models for open named entity recognition.
Levelvariant
Classlanguage encoder
Parameters288.95M
Contextnot in the notes
Released9 Apr 2024
Opennessopen weights permissive
Runs onnot in the notes
Statusactive
Identity
- Developer
- Urchade Zaratiana et al. (GLiNER authors)
- Family
- GLiNER
- Released
- 9 Apr 2024 sourcesregistry date
- Weights published
- –
- Record checked
- 12 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- dense transformer
- Total parameters
- 288.95M sources
- Active parameters
- –
- Checkpoint parameters
- –
- Note
- Parameter count from the safetensors index on Hugging Face.
- Context length
- not in the notes
- Input
- text
- Output
- text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- open weights permissive
- Licence
- Apache License 2.0 sources
- Access routes
- open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- not in the notes
- Footprint
- not in the notes
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- Model card languages: multilingual
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Benchmark Results
The notes record no benchmark result for this model.
Lineage
The notes record no lineage for this model.
Industry Use Cases
No industry use case links this model.
Links
ModelGLiNER multi v2.1Urchade Zaratiana et al. (GLiNER authors), language encoder
Use Casesnone recorded
Who Runs Itnone recorded
Sources
- arxiv.org/abs/2311.08526 https://arxiv.org/abs/2311.08526
- huggingface.co/urchade/gliner_multi-v2.1 https://huggingface.co/urchade/gliner_multi-v2.1
- huggingface.co/api/models?pipeline_tag=token-classification&... https://huggingface.co/api/models?pipeline_tag=token-classification&sort=likes&limit=50
- modelscope.cn/models/AI-ModelScope/gliner_multi https://www.modelscope.cn/models/AI-ModelScope/gliner_multi
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "GLiNER Multi v2.1", https://aurion.semai.id/models/urchade-gliner-multi-v2-1/, records of October 2026.