Qwen3-ForcedAligner-0.6B-8bit

aufklarer/Qwen3-ForcedAligner-0.6B-8bit

Qwen3-ForcedAligner-0.6B-8bit is a audio classification model from aufklarer. Use it for the audio classification task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as apache-2.0.

8-bit quantized version of Qwen/Qwen3-ForcedAligner-0.6B for Apple Silicon inference via MLX.

Downloads · 30 days

115

12% of all-time downloads

All-time downloads

952

Public

Parameters

489M

1.3 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors1.3 GB · 100%

Parameter types

How the weights are stored.

F16340M · 70%

Base models

Qwen/Qwen3-ForcedAligner-0.6B

Model card

From the Hugging Face model README

Qwen3-ForcedAligner-0.6B — MLX 8-bit

8-bit quantized version of Qwen/Qwen3-ForcedAligner-0.6B for Apple Silicon inference via MLX.

Predicts word-level timestamps for audio+text pairs in a single non-autoregressive forward pass.

Model Details

Detail	Value
Audio encoder	24 layers, 1024 dim, 16 heads, float16
Text decoder	28 layers, 1024 hidden, 16Q/8KV heads, 8-bit quantized (group_size=64)
Classify head	Linear(1024, 5000), float16
Timestamp resolution	80ms per class (5000 classes = 400s max)
Total size	~1.4 GB

Usage

let aligner = try await Qwen3ForcedAligner.fromPretrained(
    modelId: "aufklarer/Qwen3-ForcedAligner-0.6B-8bit"
)
let aligned = aligner.align(
    audio: samples, text: "Hello world", sampleRate: 24000
)

Variants

Variant	Size	Model ID
4-bit	~979 MB	aufklarer/Qwen3-ForcedAligner-0.6B-4bit
8-bit	~1.4 GB	aufklarer/Qwen3-ForcedAligner-0.6B-8bit
bf16	~1.8 GB	aufklarer/Qwen3-ForcedAligner-0.6B-bf16
CoreML INT4	~630 MB	aufklarer/Qwen3-ForcedAligner-0.6B-CoreML-INT4
CoreML INT8	~1.0 GB	aufklarer/Qwen3-ForcedAligner-0.6B-CoreML-INT8