Model overview
This repository contains the Hugging Face remote-code implementation and weights for **MOSS-Audio-Tokenizer-Nano**, the lightweight audio tokenizer used by **MOSS-TTS-Nano**. MOSS-Audio-Tokenizer-Nano is a compact discrete audio tokenizer based on the **Cat** (**C**ausal **A**udio **T**okenizer with **T**ransformer) architecture from MOSS-Audio-Tokenizer: Scaling Audio Tokenizers for Future Audio Foundation Models. The checkpoint in this repository has **21,969,664 parameters** (approximately **22M**), making it much smaller than the full-size MOSS-Audio-Tokenizer while preserving the 48 kHz stereo tokenizer interface used by the MOSS-TTS family. - **Small model size**: approximately **22M parameters**, including about 10.45M encoder parameters, 10.45M decoder parameters, and 1.07M quantizer parameters. - **Native high-resolution audio**: supports **48 kHz** input and output with **2-channel stereo** audio, helping reduce compression loss and improve listening quality. - **Low-frame-rate discrete codes**: compresses 48 kHz stereo audio into a **12.5 Hz** token stream with a downsample rate of 7,680 samples. - **Variable bitrate reconstruction**: uses a residual quantizer stack with **16 codebooks** and 1,024 entries per codebook. Each codebook contributes about **0.125 kbps**, for an inference range from **0.125 kbps to 2 kbps**. - **Transformer-based tokenizer**: uses causal Transformer blocks and supports low-latency streaming encode/decode. - **MOSS-TTS family interface**: designed as the audio tokenizer backbone for MOSS-TTS-Nano and compatible MOSS-TTS-family workflows.
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
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Estimate monthly base token costs
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Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
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Sources & traceability
许可证：apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。