open-vakgyata
Model Overview: open-vakgyata is an open-source language identification model capable of detecting and classifying indian languages from speech inputs.
Params
60 M
Context
—
Downloads 30d
504 K
Likes
3
Commercial use: not allowed · cc-by-nc-4.0
Not gated
SAFETENSORS
10 languages
View on Hugging Face ↗
Download history
daily snapshots · 55 days
▲ 142 K in the last 30 days (39.4%)
513 K373 K
Aug 22Sep 1Sep 11Sep 20
513 K262 K
Jul 28Aug 15Sep 2Sep 20
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | f32 | 0.2 GB | 0.8 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Architecture
- Wav2Vec2ForSequenceClassification
- Parameters
- 60 M
- Tensor type
- F32
- Vocabulary
- 154
- Layers / heads
- 2 / 16
- Licence
- cc-by-nc-4.0
- First seen on the Hub
- 2025-03-01
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Compare with any audio-classification model