cstr / chatterbox-GGUF

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Total runs: 5.5K
24-hour runs: 39
7-day runs: -261
30-day runs: 2.0K
Model's Last Updated: August 14 2026
text-to-speech

Introduction of chatterbox-GGUF

Model Details of chatterbox-GGUF

Chatterbox TTS — GGUF (ggml-quantised)

GGUF / ggml conversion of ResembleAI/chatterbox for use with CrispStrobe/CrispASR .

Chatterbox is a full TTS pipeline: character tokenizer → T3 (30-layer Llama AR, 520M) → speech tokens → S3Gen (Conformer encoder + UNet1D CFM denoiser, 10 Euler steps) → HiFTGenerator vocoder (conv chains + Snake activations + iSTFT) → 24 kHz WAV. Distributed under MIT license .

Two GGUF files are needed: the T3 model (text → speech tokens) and the S3Gen model (speech tokens → audio).

Files
File Quant Size Notes
chatterbox-t3-f16.gguf F16 1.1 GB T3 AR model — reference quality
chatterbox-t3-q8_0.gguf Q8_0 542 MB T3 AR model — recommended
chatterbox-t3-q4_k.gguf Q4_K 287 MB T3 AR model — smallest
chatterbox-s3gen-f16.gguf F16 548 MB S3Gen + vocoder — reference quality
chatterbox-s3gen-q8_0.gguf Q8_0 342 MB S3Gen + vocoder — recommended
chatterbox-s3gen-q4_k.gguf Q4_K 237 MB S3Gen + vocoder — smallest

Note: vocoder weights (conv_pre, resblocks, conv_post, source fusion) are kept at F32 in all quant levels for audio quality. Quantization applies to the Conformer encoder, UNet decoder, and T3 Llama layers.

Quick start
# 1. Build CrispASR
git clone https://github.com/CrispStrobe/CrispASR
cd CrispASR
cmake -B build -DCMAKE_BUILD_TYPE=Release -DBUILD_SHARED_LIBS=OFF
cmake --build build -j --target chatterbox

# 2. Pull both model files
huggingface-cli download cstr/chatterbox-GGUF chatterbox-t3-q8_0.gguf --local-dir .
huggingface-cli download cstr/chatterbox-GGUF chatterbox-s3gen-q8_0.gguf --local-dir .

# 3. Synthesise (C API / test binary — CLI adapter in progress)
# See tests/test_voc_wav.cpp for vocoder-only usage
Architecture
Text → Character tokenizer (704 tokens)
     → T3 Llama AR (30 layers, 1024D, 16 heads, RoPE, SwiGLU, CFG)
     → 25 Hz speech tokens (6561 codebook)
     → Conformer encoder (6 pre + 4 post upsample, 512D, 8 heads)
     → 80-channel mel spectrogram
     → UNet1D CFM denoiser (1 down + 12 mid + 1 up, 256 ch, 10 Euler steps)
     → HiFTGenerator vocoder (3× ConvTranspose1d + 9 ResBlocks + Snake + iSTFT)
     → 24 kHz mono WAV
Quality verification

ASR roundtrip on Python reference mel (no source fusion, deterministic):

Metric Value
ASR output (moonshine-base) "Hello world" (correct)
Per-stage cosine vs Python ref 1.000 (conv_pre through rb_2)
Waveform cosine vs torch.istft 0.93
STFT range [-0.82, 2.0] (ref [-1.1, 1.7])

All quantization levels (F16/Q8_0/Q4_K) produce ASR-identical output on the reference mel.

Conversion
python models/convert-chatterbox-to-gguf.py \
    --input ResembleAI/chatterbox \
    --output-dir .

Requires pip install gguf safetensors torch huggingface_hub .

Related models
License

MIT — same as the upstream ResembleAI/chatterbox .

Runs of cstr chatterbox-GGUF on huggingface.co

5.5K
Total runs
39
24-hour runs
-159
3-day runs
-261
7-day runs
2.0K
30-day runs

More Information About chatterbox-GGUF huggingface.co Model

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chatterbox-GGUF huggingface.co is an AI model on huggingface.co that provides chatterbox-GGUF's model effect (), which can be used instantly with this cstr chatterbox-GGUF model. huggingface.co supports a free trial of the chatterbox-GGUF model, and also provides paid use of the chatterbox-GGUF. Support call chatterbox-GGUF model through api, including Node.js, Python, http.

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https://huggingface.co/cstr/chatterbox-GGUF

cstr chatterbox-GGUF online free

chatterbox-GGUF huggingface.co is an online trial and call api platform, which integrates chatterbox-GGUF's modeling effects, including api services, and provides a free online trial of chatterbox-GGUF, you can try chatterbox-GGUF online for free by clicking the link below.

cstr chatterbox-GGUF online free url in huggingface.co:

https://huggingface.co/cstr/chatterbox-GGUF

chatterbox-GGUF install

chatterbox-GGUF is an open source model from GitHub that offers a free installation service, and any user can find chatterbox-GGUF on GitHub to install. At the same time, huggingface.co provides the effect of chatterbox-GGUF install, users can directly use chatterbox-GGUF installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

chatterbox-GGUF install url in huggingface.co:

https://huggingface.co/cstr/chatterbox-GGUF

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