🧠
Parakeet Ultra Onnx Latin model by ijar
⭐ 37.9
🧠
Model

Parakeet Ultra Onnx Latin

by ijar ijar/parakeet-ultra-onnx-latin
Free2AITools Nexus Index
37.9
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 6
R: Recency 99
Q: Quality 50
Tech Context
Vital Performance
65 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 37.9 FNI Score
Tiny - Params
- Context
65 Downloads
Dense NEMO-CONFORMER-TDT Architecture
Restricted CC License
Model Information Summary
Entity Passport
Registry ID ijar/parakeet-ultra-onnx-latin
License CC-BY-4.0
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{ijar_parakeet_ultra_onnx_latin,
  author = {ijar},
  title = {Parakeet Ultra Onnx Latin Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/ijar/parakeet-ultra-onnx-latin}},
  note = {Accessed via Free2AITools.}
}
APA Style
ijar. (2026). Parakeet Ultra Onnx Latin [Model]. Free2AITools. https://huggingface.co/ijar/parakeet-ultra-onnx-latin

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download ijar/parakeet-ultra-onnx-latin

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) 6
Recency (R) 99
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Parakeet Ultra Onnx Latin: Authority (A:0), Popularity (P:6), Recency (R:99), 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.

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.

Social Proof

HuggingFace Hub
65Downloads
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--ijar--parakeet-ultra-onnx-latin
slug
ijar--parakeet-ultra-onnx-latin
source
huggingface
author
ijar
license
CC-BY-4.0
tags
onnx, nemo-conformer-tdt, onnx-asr, parakeet, romanian, automatic-speech-recognition, ro, base_model:moondream/parakeet-ultra, base_model:quantized:moondream/parakeet-ultra, license:cc-by-4.0, region:us

βš™οΈ Technical Specs

architecture
nemo-conformer-tdt
pipeline tag
automatic-speech-recognition

πŸ“Š Engagement & Metrics

downloads
65

Data indexed from public sources. Updated daily.