🧠
Thewhisper Large V3 Turbo model by TheStageAI
⭐ 45.2
🧠
Model

Thewhisper Large V3 Turbo

by TheStageAI thestageai/thewhisper-large-v3-turbo
Free2AITools Nexus Index
45.2
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 49
P: Popularity 43
R: Recency 99
Q: Quality 65
Tech Context
0.81B Params
448 Ctx
Vital Performance
9.1K DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 45.2 FNI Score
Tiny 0.81B Params
0k Context
9.1K Downloads
8G GPU ~2GB Est. VRAM
Dense WHISPERFORCONDITIONALGENERATION Architecture
Restricted CC License
Model Information Summary
Entity Passport
Registry ID thestageai/thewhisper-large-v3-turbo
License CC-BY-4.0
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{thestageai_thewhisper_large_v3_turbo,
  author = {TheStageAI},
  title = {Thewhisper Large V3 Turbo Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/TheStageAI/thewhisper-large-v3-turbo}},
  note = {Accessed via Free2AITools.}
}
APA Style
TheStageAI. (2026). Thewhisper Large V3 Turbo [Model]. Free2AITools. https://huggingface.co/TheStageAI/thewhisper-large-v3-turbo

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run thewhisper-large-v3-turbo
πŸ€— HF Download
huggingface-cli download thestageai/thewhisper-large-v3-turbo
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) 49
Popularity (P) 43
Recency (R) 99
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Thewhisper Large V3 Turbo: Authority (A:49), Popularity (P:43), Recency (R:99), 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
---

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
9.1KDownloads
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--thestageai--thewhisper-large-v3-turbo
slug
thestageai--thewhisper-large-v3-turbo
source
huggingface
author
TheStageAI
license
CC-BY-4.0
tags
transformers, onnx, safetensors, whisper, automatic-speech-recognition, audio, speech, multilingual, streaming, coreml, cuda, nvidia, apple-silicon, on-device, en, ar, bg, bn, cs, da, de, el, es, et, fi, fr, hi, hu, id, it, lt, lv, nl, pl, pt, ro, ru, sk, sl, sv, uk, vi, base_model:openai/whisper-large-v3-turbo, license:cc-by-4.0, endpoints_compatible, 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
9,096
stars
0
forks
0

Data indexed from public sources. Updated daily.