Instructions to use Wolkyen/Pluto-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Wolkyen/Pluto-1 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 Wolkyen/Pluto-1:Q4_0
# Run inference directly in the terminal:
llama cli -hf Wolkyen/Pluto-1:Q4_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Wolkyen/Pluto-1:Q4_0
# Run inference directly in the terminal:
llama cli -hf Wolkyen/Pluto-1:Q4_0

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf Wolkyen/Pluto-1:Q4_0
# Run inference directly in the terminal:
./build/bin/llama cli -hf Wolkyen/Pluto-1:Q4_0

Use Docker

docker model run hf.co/Wolkyen/Pluto-1:Q4_0

Llama new
LM Studio
Jan
Ollama
How to use Wolkyen/Pluto-1 with Ollama:
```
ollama run hf.co/Wolkyen/Pluto-1:Q4_0
```
Unsloth Desktop

How to use Wolkyen/Pluto-1 with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Wolkyen/Pluto-1:Q4_0

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": "Wolkyen/Pluto-1:Q4_0"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use Wolkyen/Pluto-1 with Docker Model Runner:
```
docker model run hf.co/Wolkyen/Pluto-1:Q4_0
```

Lemonade

How to use Wolkyen/Pluto-1 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Wolkyen/Pluto-1:Q4_0

Run and chat with the model

lemonade run user.Pluto-1-Q4_0

List all available models

lemonade list

Hermes Agent

How to use Wolkyen/Pluto-1 with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Wolkyen/Pluto-1:Q4_0

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 Wolkyen/Pluto-1:Q4_0

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use Wolkyen/Pluto-1 with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Wolkyen/Pluto-1:Q4_0

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 "Wolkyen/Pluto-1:Q4_0" \
  --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"

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

Pluto 1, best 1.2b model and fastest great at math and general usage native tool use wolkyen.grok.me for benchmarks wolkyen.grok.me/pluto for infos

Downloads last month: 27

GGUF

Model size

1B params

Architecture

lfm2

Hardware compatibility

4-bit

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support