Field	Value
Parameters	309,121
Quantization	none, Float32 weights
Format	MLX safetensors
Sample rate	16 kHz
Chunk size	512 samples, 32 ms
Context	64 samples
Upstream	`snakers4/silero-vad:v6.2.1`

Files

File	Size	Description
`model.safetensors`	1.2 MB	MLX weights
`config.json`	456 B	Model metadata and runtime shape config
`README.md`	-	Model card

Performance

Measured with speech-swift release tests on Apple Silicon using a 20 s 16 kHz speech fixture, 625 streaming chunks.

Backend	Segment	Latency per chunk	RTF
Silero v6.2.1 MLX	5.184s-8.416s	0.4999 ms	0.01562
Silero v6.2.1 CoreML	5.184s-8.416s	0.0630 ms	0.00197

Parity against the matching CoreML v6.2.1 export:

Metric	Value
Max probability diff	0.060569
Average probability diff	0.001673

The exported safetensors were also checked tensor-by-tensor against the upstream v6.2.1 JIT state dict after conversion; the maximum absolute tensor difference was 0.

Usage

Swift SDK

swift

import SpeechVAD

let vad = try await SileroVADModel.fromPretrained(engine: .mlx)
let segments = vad.detectSpeech(audio: samples, sampleRate: 16000)

CLI

speech vad input.wav

Source

Converted from snakers4/silero-vad tag v6.2.1. The upstream project is MIT licensed.

aufklarer/Silero-VAD-v6.2.1-MLX

Silero VAD v6.2.1 MLX

Model

Files

Performance

Usage

Swift SDK

CLI

Source

Links

aufklarer/
Silero-VAD-v6.2.1-MLX