🧠
Faster Whisper Large V3 model by glj1
⭐ 37.4
🧠
Model

Faster Whisper Large V3

by glj1 hf-model--glj1--faster-whisper-large-v3
Nexus Index
37.4 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 2
R: Recency 96
Q: Quality 50
Tech Context
Vital Performance
21 DL / 30D
0.0%
Source →
Audited 37.4 FNI Score
Tiny - Params
- Context
21 Downloads
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID hf-model--glj1--faster-whisper-large-v3
License MIT
Provider huggingface
📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__glj1__faster_whisper_large_v3,
  author = {glj1},
  title = {Faster Whisper Large V3 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/glj1/faster-whisper-large-v3}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
glj1. (2026). Faster Whisper Large V3 [Model]. Free2AITools. https://huggingface.co/glj1/faster-whisper-large-v3

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download glj1/faster-whisper-large-v3

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
37.4
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 2
Recency (R) 96
Quality (Q) 50

đŸ’Ŧ Index Insight

FNI V2.0 for Faster Whisper Large V3: Semantic (S:50), Authority (A:0), Popularity (P:2), Recency (R:96), Quality (Q:50).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
---

🚀 What's Next?

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⚡

Deployment Guide

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Technical Deep Dive

Whisper large-v3 model for CTranslate2

This repository contains the conversion of openai/whisper-large-v3 to the CTranslate2 model format.

This model can be used in CTranslate2 or projects based on CTranslate2 such as faster-whisper.

Example

python 
from faster_whisper import WhisperModel

model = WhisperModel("large-v3")

segments, info = model.transcribe("audio.mp3")
for segment in segments:
    print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))

Conversion details

The original model was converted with the following command:

text 
ct2-transformers-converter --model openai/whisper-large-v3 --output_dir faster-whisper-large-v3 \
    --copy_files tokenizer.json preprocessor_config.json --quantization float16

Note that the model weights are saved in FP16. This type can be changed when the model is loaded using the compute_type option in CTranslate2.

More information

For more information about the original model, see its model card.

⚠ī¸ 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 →

📝 Limitations & Considerations

  • â€ĸ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • â€ĸ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • â€ĸ 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
21Downloads
Hub Discussions
🤗 Data Source: Hugging Face ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹī¸ Verify with original source

🛡ī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--glj1--faster-whisper-large-v3
slug
glj1--faster-whisper-large-v3
source
huggingface
author
glj1
license
MIT
tags
ctranslate2, audio, automatic-speech-recognition, en, zh, de, es, ru, ko, fr, ja, pt, tr, pl, ca, nl, ar, sv, it, id, hi, fi, vi, he, uk, el, ms, cs, ro, da, hu, ta, no, th, ur, hr, bg, lt, la, mi, ml, cy, sk, te, fa, lv, bn, sr, az, sl, kn, et, mk, br, eu, is, hy, ne, mn, bs, kk, sq, sw, gl, mr, pa, si, km, sn, yo, so, af, oc, ka, be, tg, sd, gu, am, yi, lo, uz, fo, ht, ps, tk, nn, mt, sa, lb, my, bo, tl, mg, as, tt, haw, ln, ha, ba, jw, su, yue, license:mit, region:us

⚙ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
automatic-speech-recognition

📊 Engagement & Metrics

downloads
21
stars
0
forks
0

Data indexed from public sources. Updated daily.