mms-lid-1024
This checkpoint is a model fine-tuned for speech language identification (LID) and part of Facebook's Massive Multilingual Speech project. This checkpoint is based on the Wav2Vec2 architecture and classifies raw audio input to a probability distribution over 1024 output classes (each class representing a language). The checkpoint consists of 1 billion parameters and has been fine-tuned from facebook/mms-1b on 1024 la...
Params
967 M
Context
—
Downloads 30d
345 K
Likes
15
Commercial use: not allowed · cc-by-nc-4.0
Not gated
SAFETENSORS
158 languages
View on Hugging Face ↗
Download history
daily snapshots · 25 days372 K196 K
Sep 30Oct 8Oct 16Oct 24
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 | 3.9 GB | 4.9 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
- 967 M
- Tensor type
- F32
- Vocabulary
- 154
- Layers / heads
- 48 / 16
- Licence
- cc-by-nc-4.0
- First seen on the Hub
- 2023-06-13
- Training datasets
- google/fleurs
- Added to our catalog
- 2026-09-30
Compare with any audio-classification model