Instructions to use mudler/Nemotron-3-Nano-30B-A3B-APEX-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mudler/Nemotron-3-Nano-30B-A3B-APEX-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="mudler/Nemotron-3-Nano-30B-A3B-APEX-GGUF",
	filename="Nemotron-3-Nano-30B-A3B-APEX-Balanced.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use mudler/Nemotron-3-Nano-30B-A3B-APEX-GGUF 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 mudler/Nemotron-3-Nano-30B-A3B-APEX-GGUF
# Run inference directly in the terminal:
llama cli -hf mudler/Nemotron-3-Nano-30B-A3B-APEX-GGUF

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf mudler/Nemotron-3-Nano-30B-A3B-APEX-GGUF
# Run inference directly in the terminal:
llama cli -hf mudler/Nemotron-3-Nano-30B-A3B-APEX-GGUF

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 mudler/Nemotron-3-Nano-30B-A3B-APEX-GGUF
# Run inference directly in the terminal:
./llama-cli -hf mudler/Nemotron-3-Nano-30B-A3B-APEX-GGUF

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 mudler/Nemotron-3-Nano-30B-A3B-APEX-GGUF
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mudler/Nemotron-3-Nano-30B-A3B-APEX-GGUF

Use Docker

docker model run hf.co/mudler/Nemotron-3-Nano-30B-A3B-APEX-GGUF

LM Studio
Jan
Ollama
How to use mudler/Nemotron-3-Nano-30B-A3B-APEX-GGUF with Ollama:
```
ollama run hf.co/mudler/Nemotron-3-Nano-30B-A3B-APEX-GGUF
```

Unsloth Studio

How to use mudler/Nemotron-3-Nano-30B-A3B-APEX-GGUF 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 mudler/Nemotron-3-Nano-30B-A3B-APEX-GGUF 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 mudler/Nemotron-3-Nano-30B-A3B-APEX-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for mudler/Nemotron-3-Nano-30B-A3B-APEX-GGUF to start chatting

How to use mudler/Nemotron-3-Nano-30B-A3B-APEX-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf mudler/Nemotron-3-Nano-30B-A3B-APEX-GGUF

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": "mudler/Nemotron-3-Nano-30B-A3B-APEX-GGUF"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use mudler/Nemotron-3-Nano-30B-A3B-APEX-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf mudler/Nemotron-3-Nano-30B-A3B-APEX-GGUF

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 mudler/Nemotron-3-Nano-30B-A3B-APEX-GGUF

Run Hermes

hermes

Atomic Chat new
Docker Model Runner
How to use mudler/Nemotron-3-Nano-30B-A3B-APEX-GGUF with Docker Model Runner:
```
docker model run hf.co/mudler/Nemotron-3-Nano-30B-A3B-APEX-GGUF
```

Lemonade

How to use mudler/Nemotron-3-Nano-30B-A3B-APEX-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mudler/Nemotron-3-Nano-30B-A3B-APEX-GGUF

Run and chat with the model

lemonade run user.Nemotron-3-Nano-30B-A3B-APEX-GGUF-{{QUANT_TAG}}

List all available models

lemonade list

mudler commited on Apr 27

Commit

82ef429

verified ·

1 Parent(s): b5dc39b

Update support banner: orange GPU-rental ask + thanks HF for storage

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README.md +2 -1

README.md CHANGED Viewed

@@ -15,9 +15,10 @@ tags:
 <div style="background-color: #f59e0b; color: white; padding: 20px; border-radius: 10px; text-align: center; margin: 20px 0;">
 <h2 style="color: white; margin: 0 0 10px 0;">⚡ Each donation = another big MoE quantized</h2>
-<p style="font-size: 18px; margin: 0 0 15px 0;">I host <b>25+ free APEX MoE quantizations</b> as independent research, but I no longer have access to a powerful local GPU. <b>Every big quant now requires renting compute</b> — typically $20-100 per model.<br>If APEX quants are useful to you, your support directly funds the next runs.</p>
 <p style="font-size: 20px; margin: 0;">
 <a href="https://www.patreon.com/cw/mudler" style="color: white; text-decoration: underline;">🎉 Patreon (Monthly)</a> &nbsp;|&nbsp;
 <a href="https://www.buymeacoffee.com/mudler" style="color: white; text-decoration: underline;">☕ Buy Me a Coffee</a> &nbsp;|&nbsp;

 <div style="background-color: #f59e0b; color: white; padding: 20px; border-radius: 10px; text-align: center; margin: 20px 0;">
 <h2 style="color: white; margin: 0 0 10px 0;">⚡ Each donation = another big MoE quantized</h2>
+<p style="font-size: 18px; margin: 0 0 15px 0;">I host <b>25+ free APEX MoE quantizations</b> as independent research. My only local hardware is an <b>NVIDIA DGX Spark</b> (122 GB unified memory) — enough for ~30-50B-class MoEs, but <b>bigger ones (200B+) require rented compute</b> on H100/H200/Blackwell, typically $20-100 per quant.<br>If APEX quants are useful to you, your support directly funds those bigger runs.</p>
 <p style="font-size: 20px; margin: 0;">
 <a href="https://www.patreon.com/cw/mudler" style="color: white; text-decoration: underline;">🎉 Patreon (Monthly)</a> &nbsp;|&nbsp;
 <a href="https://www.buymeacoffee.com/mudler" style="color: white; text-decoration: underline;">☕ Buy Me a Coffee</a> &nbsp;|&nbsp;