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Gliner25 Multi Fp16 Coreai model by smdesai
⭐ 37.5
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Model

Gliner25 Multi Fp16 Coreai

by smdesai smdesai/gliner25-multi-fp16-coreai
Free2AITools Nexus Index
37.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 97
Q: Quality 50
Tech Context
Vital Performance —
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 37.5 FNI Score
Tiny - Params
- Context
0 Downloads
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID smdesai/gliner25-multi-fp16-coreai
License Apache-2.0
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{smdesai_gliner25_multi_fp16_coreai,
  author = {smdesai},
  title = {Gliner25 Multi Fp16 Coreai Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/smdesai/GLiNER25-Multi-FP16-CoreAI}},
  note = {Accessed via Free2AITools.}
}
APA Style
smdesai. (2026). Gliner25 Multi Fp16 Coreai [Model]. Free2AITools. https://huggingface.co/smdesai/GLiNER25-Multi-FP16-CoreAI

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download smdesai/gliner25-multi-fp16-coreai

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 0
Recency (R) 97
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Gliner25 Multi Fp16 Coreai: Authority (A:0), Popularity (P:0), Recency (R:97), Quality (Q:50). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

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πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-model--smdesai--gliner25-multi-fp16-coreai
slug
smdesai--gliner25-multi-fp16-coreai
source
huggingface
author
smdesai
license
Apache-2.0
tags
gliner2, named-entity-recognition, relation-extraction, text-classification, information-extraction, coreai, apple, ios, on-device, fp16, token-classification, multilingual, en, arxiv:2507.18546, base_model:fastino/gliner2.5-multi-v1, base_model:finetune:fastino/gliner2.5-multi-v1, license:apache-2.0, region:us

βš™οΈ Technical Specs

pipeline tag
token-classification

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downloads
0

Data indexed from public sources. Updated daily.