Text-to-Speech
ONNX
Safetensors
GGUF
Vietnamese
Chinese
English
tts
on-device
lazibook
conversational
Instructions to use StableDiffusionVN/lazibook with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use StableDiffusionVN/lazibook with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf StableDiffusionVN/lazibook # Run inference directly in the terminal: llama cli -hf StableDiffusionVN/lazibook
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf StableDiffusionVN/lazibook # Run inference directly in the terminal: llama cli -hf StableDiffusionVN/lazibook
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf StableDiffusionVN/lazibook # Run inference directly in the terminal: ./build/bin/llama cli -hf StableDiffusionVN/lazibook
Use Docker
docker model run hf.co/StableDiffusionVN/lazibook
- Llama new
- LM Studio
- Jan
- Ollama
How to use StableDiffusionVN/lazibook with Ollama:
ollama run hf.co/StableDiffusionVN/lazibook
- Unsloth Desktop
- Docker Model Runner
How to use StableDiffusionVN/lazibook with Docker Model Runner:
docker model run hf.co/StableDiffusionVN/lazibook
- Lemonade
How to use StableDiffusionVN/lazibook with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull StableDiffusionVN/lazibook
Run and chat with the model
lemonade run user.lazibook-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
File size: 2,417 Bytes
7b380eb | 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 | ---
license: other
license_name: mixed
license_link: LICENSE.md
language:
- vi
- zh
- en
pipeline_tag: text-to-speech
tags:
- tts
- on-device
- lazibook
---
# LaziBook — model files
Model files used by the LaziBook app (offline e-book reader and audiobook player for iOS, macOS and Android).
Each folder keeps the licence of its original model.
## `app/` — bundled in the app (`ios/Models`, Android `voice_*` packs)
| Folder | Model | Source | Licence |
|---|---|---|---|
| `app/turbo/` | VieNeu-TTS v3 Turbo (backbone MLP layers 1–10 4-bit, the rest 8-bit) | [pnnbao-ump/VieNeu-TTS-v3-Turbo](https://huggingface.co/pnnbao-ump/VieNeu-TTS-v3-Turbo) | Apache-2.0 |
| `app/nano/` | VieNeu-TTS v3 Nano: text encoder, codec decoder (int8), voices. The estimator and duration predictor are LaziBook's own trained weights and are kept in a private repo | [pnnbao-ump/VieNeu-TTS-v3-Nano](https://huggingface.co/pnnbao-ump/VieNeu-TTS-v3-Nano) | Apache-2.0 |
| `app/clone/` | Nano encoders for voice cloning (codec, reference, speaker, denoiser) | VieNeu-TTS v3 Nano | Apache-2.0 |
| `app/codec/` | MOSS Audio Tokenizer Nano (ONNX) | MOSS-Audio-Tokenizer-Nano-ONNX | Apache-2.0 |
| `app/g2p/` | sea-g2p (Vietnamese G2P) | [pnnbao97/sea-g2p](https://github.com/pnnbao97/sea-g2p) | Apache-2.0 |
| `app/phonon/` | Phonon 31M English, Core ML 4-bit palettized, precompiled `.mlmodelc` + 38 voices | [gradium/phonon-31m-en](https://huggingface.co/gradium/phonon-31m-en), [gradium/phonon-voices](https://huggingface.co/gradium/phonon-voices) | Apache-2.0 |
| `app/vitszh/` | VITS Chinese (sherpa-onnx `vits-zh-ll`) | [k2-fsa/sherpa-onnx](https://github.com/k2-fsa/sherpa-onnx) TTS models | see source |
| `app/matcha/` | Matcha-TTS zh-en + Vocos 16 kHz (sherpa-onnx) | [dengcunqin/matcha_tts_zh_en_20251010](https://modelscope.cn/models/dengcunqin/matcha_tts_zh_en_20251010) | see source |
## Optional downloads
| Folder | Used by | Source | Licence |
|---|---|---|---|
| `ming-3.0-tts-0.5B-4bit/` | Mac app, Chinese/English voice pack | [jorgepb96/Ming-3.0-tts-0.5B-4bit](https://huggingface.co/jorgepb96/Ming-3.0-tts-0.5B-4bit) @ `d06229c`, from [inclusionAI/Ming-3.0-tts-0.5B](https://huggingface.co/inclusionAI/Ming-3.0-tts-0.5B) | MIT |
| `mt/` | Offline translation (Hy-MT2 1.8B 1.25-bit GGUF) | [tencent/Hy-MT2-1.8B-1.25Bit-GGUF](https://huggingface.co/tencent/Hy-MT2-1.8B-1.25Bit-GGUF) @ `9df5c82` | Apache-2.0 |
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