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

Libraries

How to use neuphonic/neutts-air with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="neuphonic/neutts-air",
	filename="neutss-air-BF16.gguf",
)

llm.create_chat_completion(
	messages = "\"The answer to the universe is 42\""
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use neuphonic/neutts-air 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 neuphonic/neutts-air:BF16
# Run inference directly in the terminal:
llama cli -hf neuphonic/neutts-air:BF16

Install from WinGet (Windows)

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

Use Docker

docker model run hf.co/neuphonic/neutts-air:BF16

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

Unsloth Studio

How to use neuphonic/neutts-air 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 neuphonic/neutts-air 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 neuphonic/neutts-air to start chatting

Using HuggingFace Spaces for Unsloth

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

How to use neuphonic/neutts-air with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf neuphonic/neutts-air:BF16

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "neuphonic/neutts-air:BF16"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use neuphonic/neutts-air with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf neuphonic/neutts-air:BF16

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default neuphonic/neutts-air:BF16

Run Hermes

hermes

Atomic Chat new

OpenClaw new

How to use neuphonic/neutts-air with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf neuphonic/neutts-air:BF16

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "neuphonic/neutts-air:BF16" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

Docker Model Runner
How to use neuphonic/neutts-air with Docker Model Runner:
```
docker model run hf.co/neuphonic/neutts-air:BF16
```

Lemonade

How to use neuphonic/neutts-air with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull neuphonic/neutts-air:BF16

Run and chat with the model

lemonade run user.neutts-air-BF16

List all available models

lemonade list

Streaming on Apple Silicon - Best Practices

#16

by ACloudCenter - opened Oct 17, 2025

Discussion

ACloudCenter

Oct 17, 2025

Can anyone give some insight to running the streaming version on Apple silicon?

I’m running on M2, install all dependencies, but see some mismatches in dependency versioning. I run the streaming example in the samples directory and it works but is very choppy, not smooth in between chunks.

Before I dug in deep, I wanted to see if anyone had already got this running on Apple smoothly. If so you mind sharing?

jiamengjiameng changed discussion status to closed Oct 18, 2025

jiamengjiameng changed discussion status to open Oct 18, 2025

jiamengjiameng

Oct 18, 2025

Hey, just tried stuff on my M1 Macbook Air, which I can get close to real time by shutting off all the browsers and spotify and stuff, without fiddling around with stuff too much. What's taking up more time for you atm, the Speech LM or the codec decoder?

ACloudCenter

Oct 18, 2025

I think it may be the decoder, but I'm unsure. I'm digging in this morning doing some troubleshooting. It does work, but again pretty choppy. Are the ggml_metal_init normal on Apple silicon when not using GPU?

user@userHost neutts-air % python -m examples.basic_streaming_example
--input_text "My name is Dave, and um, I'm from London"
--ref_codes samples/dave.pt
--ref_text samples/dave.txt
/Users/user/.pyenv/versions/3.12.1/lib/python3.12/site-packages/perth/perth_net/init.py:1: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
from pkg_resources import resource_filename
Skipping import of cpp extensions due to incompatible torch version 2.8.0 for torchao version 0.14.0 Please see GitHub issue #2919 for more info
W1018 08:26:59.809000 73635 site-packages/torch/distributed/elastic/multiprocessing/redirects.py:29] NOTE: Redirects are currently not supported in Windows or MacOs.
Loading phonemizer...
Loading backbone from: neuphonic/neutts-air-q8-gguf on cpu ...
llama_context: n_ctx_per_seq (2048) < n_ctx_train (32768) -- the full capacity of the model will not be utilized
ggml_metal_init: skipping kernel_get_rows_bf16 (not supported)
ggml_metal_init: skipping kernel_set_rows_bf16 (not supported)
ggml_metal_init: skipping kernel_mul_mv_bf16_f32 (not supported)
ggml_metal_init: skipping kernel_mul_mv_bf16_f32_c4 (not supported)
ggml_metal_init: skipping kernel_mul_mv_bf16_f32_1row (not supported)
ggml_metal_init: skipping kernel_mul_mv_bf16_f32_l4 (not supported)
ggml_metal_init: skipping kernel_mul_mv_bf16_bf16 (not supported)
ggml_metal_init: skipping kernel_mul_mv_id_bf16_f32 (not supported)
ggml_metal_init: skipping kernel_mul_mm_bf16_f32 (not supported)
ggml_metal_init: skipping kernel_mul_mm_id_bf16_f16 (not supported)
ggml_metal_init: skipping kernel_flash_attn_ext_bf16_h64 (not supported)
ggml_metal_init: skipping kernel_flash_attn_ext_bf16_h80 (not supported)
ggml_metal_init: skipping kernel_flash_attn_ext_bf16_h96 (not supported)
ggml_metal_init: skipping kernel_flash_attn_ext_bf16_h112 (not supported)
ggml_metal_init: skipping kernel_flash_attn_ext_bf16_h128 (not supported)
ggml_metal_init: skipping kernel_flash_attn_ext_bf16_h192 (not supported)
ggml_metal_init: skipping kernel_flash_attn_ext_bf16_hk192_hv128 (not supported)
ggml_metal_init: skipping kernel_flash_attn_ext_bf16_h256 (not supported)
ggml_metal_init: skipping kernel_flash_attn_ext_bf16_hk576_hv512 (not supported)
ggml_metal_init: skipping kernel_flash_attn_ext_vec_bf16_h64 (not supported)
ggml_metal_init: skipping kernel_flash_attn_ext_vec_bf16_h96 (not supported)
ggml_metal_init: skipping kernel_flash_attn_ext_vec_bf16_h128 (not supported)
ggml_metal_init: skipping kernel_flash_attn_ext_vec_bf16_h192 (not supported)
ggml_metal_init: skipping kernel_flash_attn_ext_vec_bf16_hk192_hv128 (not supported)
ggml_metal_init: skipping kernel_flash_attn_ext_vec_bf16_h256 (not supported)
ggml_metal_init: skipping kernel_flash_attn_ext_vec_bf16_hk576_hv512 (not supported)
ggml_metal_init: skipping kernel_cpy_f32_bf16 (not supported)
ggml_metal_init: skipping kernel_cpy_bf16_f32 (not supported)
ggml_metal_init: skipping kernel_cpy_bf16_bf16 (not supported)
Loading codec from: neuphonic/neucodec-onnx-decoder on cpu ...
loaded PerthNet (Implicit) at step 250,000
Generating audio for input text: My name is Dave, and um, I'm from London
Streaming...
(12000,)
Wrote chunk to stream
(12000,)
Wrote chunk to stream
(12000,)
Wrote chunk to stream
(12000,)
Wrote chunk to stream
(12000,)
Wrote chunk to stream
(12000,)
Wrote chunk to stream
(12000,)
Wrote chunk to stream
(12000,)
Wrote chunk to stream
(12000,)
Wrote chunk to stream
(12000,)
Wrote chunk to stream
(12000,)
Wrote chunk to stream
(12960,)
Wrote chunk to stream
Finished streaming.

ACloudCenter

Oct 18, 2025

I will close everything out and also monitor CPU usage with a larger transcript. I'll also add some additional logging to see if I can help narrow it down.

ACloudCenter

Oct 19, 2025

•

edited Oct 19, 2025

Ok good news! I am getting very close to RT now. I believe my issue was a number of things. I created a fresh clone, created new venv and reinstalled all requirements fresh. I've added some diagnostics that I can include in a PR that can help users log the LM gen stats.

Loading codec from: neuphonic/neucodec-onnx-decoder on cpu ...
loaded PerthNet (Implicit) at step 250,000
Input text: 39 words / 193 chars
Reference codes shape: 372
Streaming frames per chunk: 25, hop length: 480
Each chunk ~500.0 ms of audio
Generating audio for input text: My name is Dave, and um, I'm from London. I'd like to discuss the idea of streaming audio from a small text to speech model. This text to speech model can be run on cpu only which is incredible
Streaming...

Chunk 1: LM= n/a │ Audio=500.0ms │ 0.0% RT
Chunk 2: LM= 271.8ms │ Audio=500.0ms │ 54.4% RT
Chunk 3: LM= 270.1ms │ Audio=500.0ms │ 54.0% RT
Chunk 4: LM= 362.5ms │ Audio=500.0ms │ 72.5% RT
Chunk 5: LM= 532.5ms │ Audio=500.0ms │ 106.5% RT
Chunk 6: LM= 503.6ms │ Audio=500.0ms │ 100.7% RT
Chunk 7: LM= 416.1ms │ Audio=500.0ms │ 83.2% RT
Chunk 8: LM= 531.6ms │ Audio=500.0ms │ 106.3% RT
Chunk 9: LM= 519.3ms │ Audio=500.0ms │ 103.9% RT
Chunk 10: LM= 503.9ms │ Audio=500.0ms │ 100.8% RT
Chunk 11: LM= 510.5ms │ Audio=500.0ms │ 102.1% RT
Chunk 12: LM= 511.2ms │ Audio=500.0ms │ 102.2% RT
Chunk 13: LM= 515.3ms │ Audio=500.0ms │ 103.1% RT
Chunk 14: LM= 417.9ms │ Audio=500.0ms │ 83.6% RT
Chunk 15: LM= 521.6ms │ Audio=500.0ms │ 104.3% RT
Chunk 16: LM= 510.3ms │ Audio=500.0ms │ 102.1% RT
Chunk 17: LM= 522.5ms │ Audio=500.0ms │ 104.5% RT
Chunk 18: LM= 500.5ms │ Audio=500.0ms │ 100.1% RT
Chunk 19: LM= 526.3ms │ Audio=500.0ms │ 105.3% RT
Chunk 20: LM= 507.8ms │ Audio=500.0ms │ 101.6% RT
Chunk 21: LM= 436.7ms │ Audio=500.0ms │ 87.3% RT
Chunk 22: LM= 501.1ms │ Audio=500.0ms │ 100.2% RT
Chunk 23: LM= 479.7ms │ Audio=500.0ms │ 95.9% RT

Streaming complete. Generated 11.50s of audio in 13.11s.
→ Average Speech LM time per chunk: 451.0ms
→ Real-Time Factor (RTF): 1.14

SO COOL!
Nice Work!

harryjulian changed discussion status to closed Jan 9

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment