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
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