Model reference · open weights
VoxCPM1.5 is an open-weight audio or speech model from openbmb, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
🎙️ VoxCPM: Tokenizer-Free TTS for Context-Aware Speech Generation and True-to-Life Voice Cloning [](https://github.com/OpenBMB/VoxCPM/) [](https://modelbest.feishu.cn/wiki/UtWxwcERfiRIpIkBOjuc3h9tn1D) [](https://arxiv.org/abs/2509.24650)[](https://huggingface.co/spaces/OpenBMB/VoxCPM-Demo) [](https://openbmb.github.io/VoxCPM-demopage) - VoxCPM1.5 [](https://huggingface.co/openbmb/VoxCPM1.5) [](https://modelscope.cn/models/OpenBMB/VoxCPM1.5) 🎉 VoxCPM1.5 Updates Release Date: December 5, 2025 VoxCPM1.5 brings improvements in audio quality and efficiency: Key Improvements: - 🔊 Higher Quality: 44.1kHz sampling rate preserves more high-frequency details for better voice cloning - ⚡ More Efficient: Reduced token rate (6.25Hz) lowers computational cost while maintaining performance - 🎓 Fine-tuning Support: Train personalized voice models with SFT or LoRA Note: Output quality depends on the prompt speech quality. VoxCPM-0.5B remains fully supported with backward compatibility. 📚 Model Overview VoxCPM is a novel tokenizer-free Text-to-Speech (TTS) system that redefines realism in speech synthesis. By modeling speech in a continuous space, it overcomes the limitations of discrete tokenization and enables two flagship capabilities: context-aware speech generation and true-to-life zero-shot voice cloning. Unlike mainstream approaches that convert speech to discrete tokens, VoxCPM uses an end-to-end diffusion autoregressive architecture that directly generates continuous speech representations from text. Built on MiniCPM-4 backbone, it achieves implicit semantic-acoustic decoupling through hierachical language modeling and FSQ constraints, greatly enhancing both expressiveness and generation stability. 🚀 Key Features - Context-Aware, Expressive Speech Generation - VoxCPM comprehends text to infer and generate appropriate prosody, delivering speech with remarkable expressiveness and natural flow. It spontaneously adapts speaking style based on content, producing highly fitting vocal expression trained on a massive 1.8 million-hour bilingual corpus. - True-to-Life Voice Cloning - With only a short reference audio clip, VoxCPM performs accurate zero-shot voice cloning, capturin
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | openbmb |
|---|---|
| Type | Audio & music |
| Parameters (lead) | 802M |
| Variants | 1 |
| Runs with | voxcpm |
| Based on | openbmb/MiniCPM4-0.5B |
| Released | 2025-12-05 |
| Popularity | 21k downloads / month |
| Likes | 361 |
| Licence | Open weights |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| VoxCPM1.5 | 802M | BF16 | ~1.8 GB | ✓ | Weights ↗ |
Using it via the API
Once AxForge deploys voxcpm1-5 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (voxcpm1-5 below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/audio/transcriptions \ -H "Authorization: Bearer $AXFORGE_API_KEY" \ -F model="voxcpm1-5" -F file=@audio.mp3
Licence
Open weights under apache-2.0 — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗