🧠
Model

Deberta V2 Xlarge Cuad

by akdeniz27 hf-model--akdeniz27--deberta-v2-xlarge-cuad
Nexus Index
25.1 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 0
R: Recency 100
Q: Quality 38
Tech Context
Vital Performance
0 DL / 30D
0.0%
Audited 25.1 FNI Score
Tiny - Params
- Context
0 Downloads
Model Information Summary
Entity Passport
Registry ID hf-model--akdeniz27--deberta-v2-xlarge-cuad
Provider huggingface
📜

Cite this model

Academic & Research Attribution

BibTeX
@misc{hf_model__akdeniz27__deberta_v2_xlarge_cuad,
  author = {akdeniz27},
  title = {Deberta V2 Xlarge Cuad Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/akdeniz27/deberta-v2-xlarge-cuad}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
akdeniz27. (2026). Deberta V2 Xlarge Cuad [Model]. Free2AITools. https://huggingface.co/akdeniz27/deberta-v2-xlarge-cuad

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download akdeniz27/deberta-v2-xlarge-cuad

âš–ī¸ Nexus Index V2.0

25.1
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 0
Recency (R) 100
Quality (Q) 38

đŸ’Ŧ Index Insight

FNI V2.0 for Deberta V2 Xlarge Cuad: Semantic (S:50), Authority (A:0), Popularity (P:0), Recency (R:100), Quality (Q:38).

Free2AITools Nexus Index

Verification Authority

Unbiased Data Node Refresh: VFS Live
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🚀 What's Next?

Technical Deep Dive

DeBERTa v2 XLarge Model fine-tuned with CUAD dataset

This model is the fine-tuned version of "DeBERTa v2 XLarge" using CUAD dataset https://huggingface.co/datasets/cuad

Link for model checkpoint: https://github.com/TheAtticusProject/cuad

For the use of the model with CUAD: https://github.com/marshmellow77/cuad-demo and https://huggingface.co/spaces/akdeniz27/contract-understanding-atticus-dataset-demo

âš ī¸ Incomplete Data

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

View Original Source →

📝 Limitations & Considerations

  • â€ĸ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • â€ĸ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • â€ĸ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseâ„šī¸ Verify with original source

đŸ›Ąī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--akdeniz27--deberta-v2-xlarge-cuad
slug
akdeniz27--deberta-v2-xlarge-cuad
source
huggingface
author
akdeniz27
license
tags

âš™ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

📊 Engagement & Metrics

downloads
0
stars
0
forks
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Data indexed from public sources. Updated daily.