Instructions to use cstr/lahgtna-chatterbox-v1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Chatterbox
How to use cstr/lahgtna-chatterbox-v1-GGUF with Chatterbox:
# pip install chatterbox-tts import torchaudio as ta from chatterbox.tts import ChatterboxTTS model = ChatterboxTTS.from_pretrained(device="cuda") text = "Ezreal and Jinx teamed up with Ahri, Yasuo, and Teemo to take down the enemy's Nexus in an epic late-game pentakill." wav = model.generate(text) ta.save("test-1.wav", wav, model.sr) # If you want to synthesize with a different voice, specify the audio prompt AUDIO_PROMPT_PATH="YOUR_FILE.wav" wav = model.generate(text, audio_prompt_path=AUDIO_PROMPT_PATH) ta.save("test-2.wav", wav, model.sr) - Notebooks
- Google Colab
- Kaggle
lahgtna-chatterbox-v1 β GGUF (ggml-quantised)
GGUF / ggml conversion of oddadmix/lahgtna-chatterbox-v1 for use with CrispStrobe/CrispASR.
Arabic T3 (text-to-speech-tokens) variant of Chatterbox TTS. The T3 language model is finetuned for Arabic text while sharing the same S3Gen vocoder as the base English model. Distributed under MIT license.
This repo contains only the T3 model (Arabic text β speech tokens). You also need the shared S3Gen model from cstr/chatterbox-GGUF to produce audio.
Files
| File | Quant | Size | Notes |
|---|---|---|---|
chatterbox-t3-f16.gguf |
F16 | 1.1 GB | Arabic T3 β reference quality |
For S3Gen (vocoder), download from the base Chatterbox repo:
huggingface-cli download cstr/chatterbox-GGUF chatterbox-s3gen-q8_0.gguf --local-dir .
Architecture
Same as base Chatterbox but with Arabic-trained T3:
- T3: 30-layer Llama AR (1024D, 16 heads, RoPE, SwiGLU, CFG)
- Multilingual tokenizer (704 text tokens + Arabic graphemes)
- S3Gen + HiFTGenerator vocoder shared with base English model
Related models
cstr/chatterbox-GGUFβ Base English Chatterbox (required for S3Gen)oddadmix/lahgtna-chatterbox-v1β Original weights
Conversion
python models/convert-chatterbox-to-gguf.py \
--input oddadmix/lahgtna-chatterbox-v1 \
--output-dir . --t3-only
License
MIT β same as upstream oddadmix/lahgtna-chatterbox-v1.
Provenance and EU AI Act Art. 53 note
- Upstream model: oddadmix/lahgtna-chatterbox-v1 β published by
oddadmix. - Upstream licence:
mit. This repository redistributes under the same terms; it grants no rights the upstream licence does not. - What was done here: format conversion and/or quantisation only (GGUF/GGML). No training, no fine-tuning, no merging, no distillation, no change to architecture, vocabulary or capability. Only the numeric representation of the upstream weights differs.
- Training data: documented β where it is documented at all β by the upstream provider; see the upstream model card. No training data was used, added or selected by this repository. No training-content summary was found on the upstream model card at the time of writing; that documentation gap is upstream's and is not filled here.
- Provider status: under Regulation (EU) 2024/1689 the upstream authors remain the provider of this model. Converting the serialisation format does not make this repository the provider of a new general-purpose AI model, and no such claim is made. Questions about training content, copyright policy or model capability belong upstream.
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Hardware compatibility
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Model tree for cstr/lahgtna-chatterbox-v1-GGUF
Base model
ResembleAI/chatterbox