🧠
Whisper Large V3 Turbo Fr Quebecois model by Ele Sage
⭐ 39.9
🧠
Model

Whisper Large V3 Turbo Fr Quebecois

by Ele Sage ele-sage/whisper-large-v3-turbo-fr-quebecois
Free2AITools Nexus Index
39.9
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 39
P: Popularity 31
R: Recency 59
Q: Quality 65
Tech Context
0.81B Params
448 Ctx
Vital Performance
1.9K DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39.9 FNI Score
Tiny 0.81B Params
0k Context
1.9K Downloads
8G GPU ~2GB Est. VRAM
Dense WHISPERFORCONDITIONALGENERATION Architecture
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID ele-sage/whisper-large-v3-turbo-fr-quebecois
License MIT
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.9GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{ele_sage_whisper_large_v3_turbo_fr_quebecois,
  author = {Ele Sage},
  title = {Whisper Large V3 Turbo Fr Quebecois Model},
  year = {2025},
  howpublished = {\url{https://huggingface.co/ele-sage/whisper-large-v3-turbo-fr-quebecois}},
  note = {Accessed via Free2AITools.}
}
APA Style
Ele Sage. (2025). Whisper Large V3 Turbo Fr Quebecois [Model]. Free2AITools. https://huggingface.co/ele-sage/whisper-large-v3-turbo-fr-quebecois

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run whisper-large-v3-turbo-fr-quebecois
πŸ€— HF Download
huggingface-cli download ele-sage/whisper-large-v3-turbo-fr-quebecois

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 39
Popularity (P) 31
Recency (R) 59
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Whisper Large V3 Turbo Fr Quebecois: Authority (A:39), Popularity (P:31), Recency (R:59), Quality (Q:65). 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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Deployment reference

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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.

Social Proof

HuggingFace Hub
1.9KDownloads
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--ele-sage--whisper-large-v3-turbo-fr-quebecois
slug
ele-sage--whisper-large-v3-turbo-fr-quebecois
source
huggingface
author
Ele Sage
license
MIT
tags
safetensors, whisper, common-voice, fr-ca, quebecois, automatic-speech-recognition, fr, arxiv:2212.04356, base_model:openai/whisper-large-v3-turbo, base_model:finetune:openai/whisper-large-v3-turbo, license:mit, region:us

βš™οΈ Technical Specs

architecture
WhisperForConditionalGeneration
params billions
0.81
context length
448
pipeline tag
automatic-speech-recognition
vram gb
1.9
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
1,904
stars
0
forks
0

Data indexed from public sources. Updated daily.