Instructions to use undefinelabs/neutts-nano 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 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 Desktop
- 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
- Atomic Chat
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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Hardware compatibility
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16-bit