---
license: apache-2.0
language:
- en
- zh
base_model:
- ASLP-lab/MeanVC2
pipeline_tag: voice-conversion
tags:
- voice-conversion
- zero-shot
- streaming
- meanvc2
- gguf
- crispasr
library_name: ggml
---

# MeanVC2 — GGUF (ggml-quantised)

GGUF / ggml quantised weights of [`ASLP-lab/MeanVC2`](https://github.com/ASLP-lab/MeanVC2) for use with **[CrispASR](https://github.com/CrispStrobe/CrispASR)**.

MeanVC2 is a robust low-latency streaming zero-shot voice conversion architecture developed by ASLP@NPU (Apache-2.0). It couples:
1. **Pretrained Streaming Fast-U2++ Conformer ASR** (160ms/80ms window) for speaker-invariant bottleneck feature extraction.
2. **Universal Timbre Token Encoder (UTTE)** featuring Global Timbre Memory (GTM) and Temporal Timbre cross-attention (TVT).
3. **1-NFE Flow Matching DiT** with Future-Receptive Chunking (FRC) and causal KV caching.
4. **Vocos Neural Vocoder** with ConvNeXt backbone and inverse STFT synthesis.

## Quantization Details

- **`meanvc2-120ms-40ms-q4_k.gguf` (77 MB)**: Weight linear layers quantised to `Q4_K` / `Q6_K`; attention projections, conv kernels, and norms preserved in FP16/FP32.
- **`meanvc2-120ms-40ms-q8_0.gguf` (111 MB)**: Weight linear layers quantised to `Q8_0`.
- **`meanvc2-120ms-40ms-f16.gguf` (175 MB)**: Unquantised IEEE FP16 baseline (100% numerical parity).

## Quickstart with CrispASR

### CLI Voice Conversion
```bash
crispasr-convert meanvc2-120ms-40ms-q4_k.gguf input_voice.wav target_voice.wav output.wav
```