Instructions to use thanhtantran/VieNeu-TTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use thanhtantran/VieNeu-TTS with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="thanhtantran/VieNeu-TTS",
	filename="VieNeu-TTS-q4_0.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use thanhtantran/VieNeu-TTS 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 thanhtantran/VieNeu-TTS:Q4_0
# Run inference directly in the terminal:
llama cli -hf thanhtantran/VieNeu-TTS:Q4_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf thanhtantran/VieNeu-TTS:Q4_0
# Run inference directly in the terminal:
llama cli -hf thanhtantran/VieNeu-TTS:Q4_0

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf thanhtantran/VieNeu-TTS:Q4_0
# Run inference directly in the terminal:
./llama-cli -hf thanhtantran/VieNeu-TTS:Q4_0

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf thanhtantran/VieNeu-TTS:Q4_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf thanhtantran/VieNeu-TTS:Q4_0

Use Docker

docker model run hf.co/thanhtantran/VieNeu-TTS:Q4_0

LM Studio
Jan
Ollama
How to use thanhtantran/VieNeu-TTS with Ollama:
```
ollama run hf.co/thanhtantran/VieNeu-TTS:Q4_0
```

Unsloth Studio

How to use thanhtantran/VieNeu-TTS with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for thanhtantran/VieNeu-TTS to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for thanhtantran/VieNeu-TTS to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for thanhtantran/VieNeu-TTS to start chatting

Atomic Chat new
Docker Model Runner
How to use thanhtantran/VieNeu-TTS with Docker Model Runner:
```
docker model run hf.co/thanhtantran/VieNeu-TTS:Q4_0
```

Lemonade

How to use thanhtantran/VieNeu-TTS with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull thanhtantran/VieNeu-TTS:Q4_0

Run and chat with the model

lemonade run user.VieNeu-TTS-Q4_0

List all available models

lemonade list

thanhtantran commited on Dec 23, 2025

Commit

3d3eac0

verified ·

1 Parent(s): 56c2168

Update README.md

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README.md CHANGED Viewed

@@ -11,14 +11,6 @@ base_model:
 pipeline_tag: text-to-speech
 ---
-# VieNeu-TTS
-[![GitHub](https://img.shields.io/badge/GitHub-Repository-blue)](https://github.com/pnnbao97/VieNeu-TTS)
-[![Model](https://img.shields.io/badge/Hugging%20Face-Model-yellow)](https://huggingface.co/pnnbao-ump/VieNeu-TTS)
-![Untitled](https://cdn-uploads.huggingface.co/production/uploads/68b923a86c86c127a1975eda/vd7kW8h7ooSafcIhEQtyr.png)
 ## Overview
 **VieNeu-TTS** is an advanced on-device Vietnamese Text-to-Speech (TTS) model with **instant voice cloning**.
@@ -44,39 +36,6 @@ Your support helps maintain and improve VieNeu-TTS! 🙏
 ---
-## Voice Cloning Inference
-**Reference Voice (Speaker Example):**
-<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/68b923a86c86c127a1975eda/Rpw1V6X1px59SWQKn_W9D.wav"></audio>
-**Input Text:**
-> Trên bầu trời xanh thẳm, những đám mây trắng lửng lờ trôi như những chiếc thuyền nhỏ đang lướt nhẹ theo dòng gió. Dưới mặt đất, cánh đồng lúa vàng rực trải dài tới tận chân trời, những bông lúa nghiêng mình theo từng làn gió.
-**Generated Output (Cloned Voice):**
-<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/68b923a86c86c127a1975eda/f40t4ueGqmsGDmNIGcU3J.mpga"></audio>
----
-## Installation
-```bash
-git clone https://github.com/pnnbao97/VieNeu-TTS.git
-cd VieNeu-TTS
-uv sync
-```
-## Gradio Demo
-```bash
-uv run gradio_app.py
-```
-Open your browser at `http://127.0.0.1:7860`.
-**Demo Video:**
-<video controls src="https://cdn-uploads.huggingface.co/production/uploads/68b923a86c86c127a1975eda/pRsUExICceCh47dgu4P8I.mp4" width="100%"></video>
 ## Reference Voices
 | File                    | Gender | Accent | Description        |

 pipeline_tag: text-to-speech
 ---
 ## Overview
 **VieNeu-TTS** is an advanced on-device Vietnamese Text-to-Speech (TTS) model with **instant voice cloning**.
 ---
 ## Reference Voices
 | File                    | Gender | Accent | Description        |