🧠
Model

Rng Irish Whisper Pseudo Iter3

by Eimhin03 eimhin03/rng-irish-whisper-pseudo-iter3
Free2AITools Nexus Index
38.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 3
R: Recency 73
Q: Quality 65
Tech Context
0.07B Params
448 Ctx
Vital Performance
29 DL / 30D

Technical Constraints

Experimental / High Latency
Low FNI signal 38.3 FNI Score
Tiny 0.07B Params
0k Context
29 Downloads
8G GPU ~2GB Est. VRAM
Dense WHISPERFORCONDITIONALGENERATION Architecture
Model Information Summary
Entity Passport
Registry ID eimhin03/rng-irish-whisper-pseudo-iter3
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.4GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX
@misc{eimhin03_rng_irish_whisper_pseudo_iter3,
  author = {Eimhin03},
  title = {Rng Irish Whisper Pseudo Iter3 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Eimhin03/RNG-irish-whisper-pseudo-iter3}},
  note = {Accessed via Free2AITools.}
}
APA Style
Eimhin03. (2026). Rng Irish Whisper Pseudo Iter3 [Model]. Free2AITools. https://huggingface.co/Eimhin03/RNG-irish-whisper-pseudo-iter3

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run rng-irish-whisper-pseudo-iter3
πŸ€— HF Download
huggingface-cli download eimhin03/rng-irish-whisper-pseudo-iter3
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 3
Recency (R) 73
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Rng Irish Whisper Pseudo Iter3: Authority (A:0), Popularity (P:3), Recency (R:73), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

Open data Updated: Live data
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πŸš€ What's Next?

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
29Downloads
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--eimhin03--rng-irish-whisper-pseudo-iter3
slug
eimhin03--rng-irish-whisper-pseudo-iter3
source
huggingface
author
Eimhin03
tags
transformers, safetensors, whisper, automatic-speech-recognition, arxiv:1910.09700, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
WhisperForConditionalGeneration
params billions
0.07
context length
448
pipeline tag
automatic-speech-recognition
vram gb
1.4
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
29
stars
0
forks
0

Data indexed from public sources. Updated daily.