🧠
Xnli Stage1 En 10000 model by WijewardhanaNT
⭐ 37.5
🧠
Model

Xnli Stage1 En 10000

by WijewardhanaNT wijewardhanant/xnli_stage1_en_10000
Free2AITools Nexus Index
37.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 4
R: Recency 100
Q: Quality 50
Tech Context
Vital Performance
38 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 37.5 FNI Score
Tiny - Params
- Context
38 Downloads
Model Information Summary
Entity Passport
Registry ID wijewardhanant/xnli_stage1_en_10000
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{wijewardhanant_xnli_stage1_en_10000,
  author = {WijewardhanaNT},
  title = {Xnli Stage1 En 10000 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/WijewardhanaNT/xnli_stage1_en_10000}},
  note = {Accessed via Free2AITools.}
}
APA Style
WijewardhanaNT. (2026). Xnli Stage1 En 10000 [Model]. Free2AITools. https://huggingface.co/WijewardhanaNT/xnli_stage1_en_10000

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download wijewardhanant/xnli_stage1_en_10000
πŸ“¦ Install Lib
pip install -U transformers

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) 4
Recency (R) 100
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Xnli Stage1 En 10000: Authority (A:0), Popularity (P:4), Recency (R:100), 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
---

πŸš€ What's Next?

πŸ“Š

Models in this category

Browse models in the same category

⚑

Deployment reference

Understand deployment options

Technical Deep Dive

⚠️ 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 β†’

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.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
38Downloads
Hub Discussions
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--wijewardhanant--xnli_stage1_en_10000
slug
wijewardhanant--xnli_stage1_en_10000
source
huggingface
author
WijewardhanaNT
tags
peft, safetensors, base_model:adapter:meta-llama/llama-2-7b-hf, lora, transformers, text-generation, arxiv:1910.09700, base_model:meta-llama/llama-2-7b-hf, region:us

βš™οΈ Technical Specs

pipeline tag
text-generation

πŸ“Š Engagement & Metrics

downloads
38

Data indexed from public sources. Updated daily.