Instructions to use undefinelabs/neutts-nano with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use undefinelabs/neutts-nano with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="undefinelabs/neutts-nano",
	filename="neutts-nano-bf16.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 undefinelabs/neutts-nano 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 undefinelabs/neutts-nano:BF16
# Run inference directly in the terminal:
llama cli -hf undefinelabs/neutts-nano:BF16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf undefinelabs/neutts-nano:BF16
# Run inference directly in the terminal:
llama cli -hf undefinelabs/neutts-nano:BF16

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 undefinelabs/neutts-nano:BF16
# Run inference directly in the terminal:
./llama-cli -hf undefinelabs/neutts-nano:BF16

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 undefinelabs/neutts-nano:BF16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf undefinelabs/neutts-nano:BF16

Use Docker

docker model run hf.co/undefinelabs/neutts-nano:BF16

LM Studio
Jan
Ollama
How to use undefinelabs/neutts-nano with Ollama:
```
ollama run hf.co/undefinelabs/neutts-nano:BF16
```

Unsloth Studio

How to use undefinelabs/neutts-nano 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 undefinelabs/neutts-nano 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 undefinelabs/neutts-nano to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for undefinelabs/neutts-nano to start chatting

Atomic Chat new
Docker Model Runner
How to use undefinelabs/neutts-nano with Docker Model Runner:
```
docker model run hf.co/undefinelabs/neutts-nano:BF16
```

Lemonade

How to use undefinelabs/neutts-nano with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull undefinelabs/neutts-nano:BF16

Run and chat with the model

lemonade run user.neutts-nano-BF16

List all available models

lemonade list

NeuTTS-Nano (BF16 GGUF)

This repository contains the official bf16 GGUF quantization of the NeuTTS-Nano acoustic inference model. Optimized specifically for low-latency, high-efficiency edge execution using llama.cpp or compatible GGUF runtimes.

Model Details

Architecture: NeuTTS-Nano
Format: GGUF (outtype: bf16)
File Size: 446 MB
Precision: Brain Floating Point 16-bit (bf16)
Primary Use Case: Real-time acoustic processing, voice generation, low-latency edge speech pipelines.

Deployment & Inference

To run this model locally via the CLI or spin up a local inference server using llama.cpp, utilize the following configurations.

CLI Benchmark

llama-cli -m neutts-nano-bf16.gguf -p "Your input text prompt here" --threads 4

Local Inference Server

llama-server -m neutts-nano-bf16.gguf --port 8080 --host 0.0.0.0

Language Variants

If you are looking for specific regional acoustic profiles, distinct variants are isolated in their own standalone repositories:

Core/English: undefinelabs/neutts-nano
French: undefinelabs/neutts-nano-french
German: undefinelabs/neutts-nano-german
Spanish: undefinelabs/neutts-nano-spanish

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GGUF

Model size

0.2B params

Architecture

llama

Hardware compatibility

16-bit