OpenMOSS-Team/MOSS-Audio-Tokenizer
feature-extraction model by OpenMOSS-Team
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
This is the code for MOSS-Audio-Tokenizer presented in MOSS-Audio-Tokenizer: Scaling Audio Tokenizers for Future Audio Foundation Models. MOSSAudioTokenizer is a unified discrete audio tokenizer based on the Cat (Causal Audio Tokenizer with Transformer) architecture. Scaling to 1.6 billion parameters, it functions as a unified discrete interface, delivering both lossless-quality reconstruction and high-level semantic alignment. Key Features: Summary: By combining a simple, scalable architecture with massive-scale data, the Cat architecture overcomes the bottlenecks of traditional audio tokenizers. It provides a robust, high-fidelity, and semantically grounded interface for the next generation of native audio foundation models. This repository contains a lightweight remote-code implementation that mirrors the current 🤗 Transformers transformers.models.mossaudiotokenizer module. It is intended to be uploaded to a Hugging Face Hub model repository and loaded with trustremotecode=True when needed. MossAudioTokenizerModel.encode and MossAudioTokenizerModel.decode support simple streaming via…
Read the full model card ↗ · Preview checked 2026-11-01T13:15:57.531Z
Inside the original model card — Document outline
- MossAudioTokenizer
- Usage
- Quickstart
- Streaming
- Repository layout
- Evaluation Metrics
- LibriSpeech Speech Metrics (MOSS Audio Tokenizer vs. Open-source Tokenizers)
- Citation
- License
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
OpenMOSS-Team/MOSS-Audio-Tokenizer is a feature-extraction model repository published by OpenMOSS-Team on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- feature-extraction
- Library
- transformers
- Recent downloads (30 days)
- 102,385
- Cumulative likes
- 47
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 1,774,566,400
- Architecture
- MossAudioTokenizerModel
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-02-04T03:56:13.000Z
- Last modified
- 2026-06-05T06:56:38.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:29.511Z. Daily imports are snapshots, not real-time monitoring.
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