File size: 2,353 Bytes
db12ccc | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 | ---
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.
|