Instructions to use baa-ai/Nemotron-3-Super-120B-A12B-MINT-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use baa-ai/Nemotron-3-Super-120B-A12B-MINT-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 baa-ai/Nemotron-3-Super-120B-A12B-MINT-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf baa-ai/Nemotron-3-Super-120B-A12B-MINT-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf baa-ai/Nemotron-3-Super-120B-A12B-MINT-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf baa-ai/Nemotron-3-Super-120B-A12B-MINT-GGUF:Q4_K_M

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 baa-ai/Nemotron-3-Super-120B-A12B-MINT-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf baa-ai/Nemotron-3-Super-120B-A12B-MINT-GGUF:Q4_K_M

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 baa-ai/Nemotron-3-Super-120B-A12B-MINT-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf baa-ai/Nemotron-3-Super-120B-A12B-MINT-GGUF:Q4_K_M

Use Docker

docker model run hf.co/baa-ai/Nemotron-3-Super-120B-A12B-MINT-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use baa-ai/Nemotron-3-Super-120B-A12B-MINT-GGUF with Ollama:
```
ollama run hf.co/baa-ai/Nemotron-3-Super-120B-A12B-MINT-GGUF:Q4_K_M
```
Unsloth Desktop

How to use baa-ai/Nemotron-3-Super-120B-A12B-MINT-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf baa-ai/Nemotron-3-Super-120B-A12B-MINT-GGUF:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "baa-ai/Nemotron-3-Super-120B-A12B-MINT-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use baa-ai/Nemotron-3-Super-120B-A12B-MINT-GGUF with Docker Model Runner:
```
docker model run hf.co/baa-ai/Nemotron-3-Super-120B-A12B-MINT-GGUF:Q4_K_M
```

Lemonade

How to use baa-ai/Nemotron-3-Super-120B-A12B-MINT-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull baa-ai/Nemotron-3-Super-120B-A12B-MINT-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Nemotron-3-Super-120B-A12B-MINT-GGUF-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use baa-ai/Nemotron-3-Super-120B-A12B-MINT-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 baa-ai/Nemotron-3-Super-120B-A12B-MINT-GGUF:Q4_K_M

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 baa-ai/Nemotron-3-Super-120B-A12B-MINT-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use baa-ai/Nemotron-3-Super-120B-A12B-MINT-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf baa-ai/Nemotron-3-Super-120B-A12B-MINT-GGUF:Q4_K_M

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 "baa-ai/Nemotron-3-Super-120B-A12B-MINT-GGUF:Q4_K_M" \
  --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"

tomkay commited on Apr 5

Commit

d9e7a5e

verified ·

1 Parent(s): d1c614f

Remove rate-distortion curve sections and images

Browse files

Files changed (1) hide show

README.md +0 -32

README.md CHANGED Viewed

@@ -32,38 +32,6 @@ GGUF quantized version of [nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16](https:
 | Parameters | 123.6B (12B active) |
-## Rate-Distortion Curve
-![Rate-Distortion Curve](rd-curve.png)
-Quality vs size trade-off from MINT MCKP allocator. **★** = optimal knee point.
-| Budget | Size | Avg Bits | Loss | |
-|--------|------|----------|------|---|
-| 20 GB | 20.0 GB | 4.8 | 3.8786 |  |
-| 32 GB | 31.6 GB | 8.3 | 0.3907 | ★ |
-| 43 GB | 42.6 GB | 11.3 | 0.1537 |  |
-| 55 GB | 54.4 GB | 14.7 | 0.0423 |  |
-| 66 GB | 58.8 GB | 16.0 | 0.0000 |  |
-| 78 GB | 58.8 GB | 16.0 | 0.0000 |  |
-| 89 GB | 58.8 GB | 16.0 | 0.0000 |  |
-| 101 GB | 58.8 GB | 16.0 | 0.0000 |  |
-| 113 GB | 58.8 GB | 16.0 | 0.0000 |  |
-| 124 GB | 58.8 GB | 16.0 | 0.0000 |  |
-| 136 GB | 58.8 GB | 16.0 | 0.0000 |  |
-| 147 GB | 58.8 GB | 16.0 | 0.0000 |  |
-| 159 GB | 58.8 GB | 16.0 | 0.0000 |  |
-| 171 GB | 58.8 GB | 16.0 | 0.0000 |  |
-| 182 GB | 58.8 GB | 16.0 | 0.0000 |  |
-| 194 GB | 58.8 GB | 16.0 | 0.0000 |  |
-| 205 GB | 58.8 GB | 16.0 | 0.0000 |  |
-| 217 GB | 58.8 GB | 16.0 | 0.0000 |  |
-| 228 GB | 58.8 GB | 16.0 | 0.0000 |  |
-| 240 GB | 58.8 GB | 16.0 | 0.0000 |  |
-*Generated by [baa.ai](https://baa.ai) rate-distortion optimization.*
 ## Usage
 ```bash

 | Parameters | 123.6B (12B active) |
 ## Usage
 ```bash