openbmb/VoxCPM2
text-to-speech model by openbmb
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.
VoxCPM2 is a tokenizer-free, diffusion autoregressive Text-to-Speech model — 2B parameters, 30 languages, 48kHz audio output, trained on over 2 million hours of multilingual speech data. [](https://github.com/OpenBMB/VoxCPM) [](https://voxcpm.readthedocs.io/en/latest/) [](https://huggingface.co/spaces/OpenBMB/VoxCPM-Demo) [](https://openbmb.github.io/voxcpm2-demopage) [](https://discord.gg/KZUx7tVNwz) [](https://applink.feishu.cn/client/chat/chatter/addbylink?linktoken=acds0b9d-23d8-4d7e-b696-d200f3e22a7f) [](https://modelbest.feishu.cn/wiki/UtWxwcERfiRIpIkBOjuc3h9tn1D) Supported Languages (30) Arabic, Burmese, Chinese, Danish, Dutch, English, Finnish, French, German, Greek, Hebrew, Hindi, Indonesian, Italian, Japanese, Khmer, Korean, Lao, Malay, Norwegian, Polish, Portuguese, Russian, Spanish, Swahili, Swedish, Tagalog, Thai, Turkish, Vietnamese Chinese Dialects: 四川话, 粤语, 吴语, 东北话, 河南话, 陕西话, 山东话, 天津话, 闽南话 Requirements: Python ≥ 3.10, PyTorch ≥ 2.5.0, CUDA ≥ 12.0 · Full Quick Start → Put the voice description in parentheses at the start of text, followed by the content to synthesize: Provide both the reference audio and its exact transcript for maximum fidelity. Pass the same…
Read the full model card ↗ · Preview checked 2026-10-31T10:26:21.788Z
Inside the original model card — Document outline
- VoxCPM2
- Highlights
- Quick Start
- Installation
- Text-to-Speech
- Voice Design
- Controllable Voice Cloning
- Ultimate Cloning
- Streaming
- Model Details
- Performance
- Fine-tuning
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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
openbmb/VoxCPM2 is a text-to-speech model repository published by openbmb on Hugging Face. The source reports the voxcpm library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-to-speech
- Library
- voxcpm
- Recent downloads (30 days)
- 1,009,312
- Cumulative likes
- 1,744
- Hugging Face trending score
- 19
- Reported safetensors parameters
- 2,290,004,544
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-04-03T05:25:50.000Z
- Last modified
- 2026-08-18T07:37:17.000Z
Compatibility and lineage
Reported languages: zh, en, ar, my, da, nl, fi, fr, de, el, he, hi, id, it, ja, km, ko, lo, ms, no, pl, pt, ru, es, sw, sv, tl, th, tr, vi
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
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:52:33.137Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.