--- license: apache-2.0 pipeline_tag: text-to-speech tags: - text-to-speech - voice-cloning - tokenizer-free - diffusion-autoregressive - minicpm - multilingual - openbmb - mirror --- # VoxCPM2 — inference mirror for MAESTRO Inference-ready repack of [openbmb/VoxCPM2](https://huggingface.co/openbmb/VoxCPM2) (OpenBMB), kept by AEmotionStudio so the MAESTRO DAW can fetch the checkpoint on demand. The model is **not** fine-tuned or otherwise altered — this repo only repacks the upstream weights for loading: * `model.safetensors` — the 2B tokenizer-free diffusion-AR stack (LocEnc → MiniCPM-4 TSLM → RALM → LocDiT), verbatim from upstream (bf16 storage, sha256-checked; bf16 confirmed by MAESTRO's same-seed fp16-vs-bf16 whisper-gate against a seed-to-seed null baseline). * `audiovae.safetensors` — AudioVAE V2 (16 kHz encode → 48 kHz decode), converted from the pickled `audiovae.pth` via `safetensors.save_model` (the VAE uses `weight_norm`, whose `weight_g`/`weight_v` aliasing a bare `save_file` would corrupt). * `config.json`, `tokenizer.json`, `special_tokens_map.json` — verbatim. * `tokenizer_config.json` — verbatim minus the list-form `extra_special_tokens` key (crashes some transformers loaders; the tokens are already registered in `tokenizer.json`, so dropping the key is lossless). * upstream's `tokenization_voxcpm2.py` is **omitted** — inference loads a plain `LlamaTokenizerFast`; no `trust_remote_code` anywhere. * `sha256.json` — checksums of every file in this repo. | Component | Purpose | |---|---| | `model.safetensors` | LocEnc + MiniCPM-4 2B TSLM + RALM + LocDiT | | `audiovae.safetensors` | AudioVAE V2 (latents → 48 kHz mono waveform) | | tokenizer files | LlamaTokenizerFast vocabulary + config | VoxCPM2 is a **tokenizer-free diffusion-autoregressive TTS** at native 48 kHz: 30 languages plus 9 Chinese dialects with no language tags, voice design from a text description, and three cloning tiers (reference clip / reference + style directive / reference + transcript). ## License * **Code**: Apache-2.0 ([OpenBMB/VoxCPM](https://github.com/OpenBMB/VoxCPM)). * **Weights (this repo): Apache-2.0** — inherited unchanged from upstream. Credit for the model belongs entirely to the OpenBMB team; this mirror exists only for reliable on-demand delivery into MAESTRO.