Qwen3-ForcedAligner-0.6B-bf16

aufklarer/Qwen3-ForcedAligner-0.6B-bf16

Qwen3-ForcedAligner-0.6B-bf16 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.

Full-precision (bf16→float16) conversion of Qwen/Qwen3-ForcedAligner-0.6B for Apple Silicon inference via MLX.

Downloads · 30 days

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All-time downloads

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Parameters

918M

1.8 GB on disk

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Hugging Face

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At a glance

Task: Audio Classification
Library: mlx
License: apache-2.0
Model type: qwen3_asr
Access: Public
Created: Mar 8, 2026
Updated: Apr 12, 2026
SHA: bc14e9b8

Base models

Qwen/Qwen3-ForcedAligner-0.6B

Model card

From the Hugging Face model README

Qwen3-ForcedAligner-0.6B — MLX bf16

Full-precision (bf16→float16) conversion of Qwen/Qwen3-ForcedAligner-0.6B for Apple Silicon inference via MLX.

No quantization applied — maximum accuracy for word-level timestamp prediction.

Model Details

Detail	Value
Audio encoder	24 layers, 1024 dim, 16 heads, float16
Text decoder	28 layers, 1024 hidden, 16Q/8KV heads, float16
Classify head	Linear(1024, 5000), float16
Timestamp resolution	80ms per class
Total size	~1.8 GB

Usage

let aligner = try await Qwen3ForcedAligner.fromPretrained(
    modelId: "aufklarer/Qwen3-ForcedAligner-0.6B-bf16"
)
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