Instructions to use Mr-J-369/Fancy-AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Mr-J-369/Fancy-AI 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 Mr-J-369/Fancy-AI:Q4_0
# Run inference directly in the terminal:
llama cli -hf Mr-J-369/Fancy-AI:Q4_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Mr-J-369/Fancy-AI:Q4_0
# Run inference directly in the terminal:
llama cli -hf Mr-J-369/Fancy-AI:Q4_0

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 Mr-J-369/Fancy-AI:Q4_0
# Run inference directly in the terminal:
./llama-cli -hf Mr-J-369/Fancy-AI:Q4_0

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 Mr-J-369/Fancy-AI:Q4_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Mr-J-369/Fancy-AI:Q4_0

Use Docker

docker model run hf.co/Mr-J-369/Fancy-AI:Q4_0

LM Studio
Jan
Ollama
How to use Mr-J-369/Fancy-AI with Ollama:
```
ollama run hf.co/Mr-J-369/Fancy-AI:Q4_0
```
Unsloth Desktop

How to use Mr-J-369/Fancy-AI with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Mr-J-369/Fancy-AI: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": "Mr-J-369/Fancy-AI:Q4_0"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use Mr-J-369/Fancy-AI with Docker Model Runner:
```
docker model run hf.co/Mr-J-369/Fancy-AI:Q4_0
```

Lemonade

How to use Mr-J-369/Fancy-AI with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Mr-J-369/Fancy-AI:Q4_0

Run and chat with the model

lemonade run user.Fancy-AI-Q4_0

List all available models

lemonade list

Hermes Agent

How to use Mr-J-369/Fancy-AI with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Mr-J-369/Fancy-AI: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 Mr-J-369/Fancy-AI:Q4_0

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use Mr-J-369/Fancy-AI with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Mr-J-369/Fancy-AI: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 "Mr-J-369/Fancy-AI: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.

📱 Now on Google Play — Fancy AI
On-device AI image generation, optimized for Qualcomm NPU phones.

license: other
language:
- en
tags:
- gguf
- llama.cpp
- android
- fancy-ai
- on-device
pretty_name: Fancy AI — Add-on Catalog

Fancy AI — Add-on Catalog

Add-on catalog for the Fancy AI Android app — an on-device AI companion app powered by
llama.cpp. The app ships small and streams optional models on demand from this catalog.

App & issues: https://github.com/Mr-J-369/Fancy-Ai
This repo hosts manifest.json — the catalog the app reads. The model weights themselves
are not re-hosted here; the catalog links directly to the original creators' repos
(Qwen, bartowski), so downloads come straight from the source.

How to use it (in the app)

Settings → On-Device Model → Browse Add-ons. The app reads manifest.json, lists each
component, and lets you download + activate in one tap:

agent → Use as Root's brain (the tiny model that handles background housekeeping).
chat → Use as chat model (your main conversational model).

Current catalog

│ Component │ Type │ Model │ Size │ License │

│ Root Agent — Qwen2.5 1.5B │ agent │ Qwen2.5-1.5B-Instruct │ 1.12 GB │ Apache-2.0 │

│ Chat — Llama 3.2 3B │ chat │ bartowski Llama-3.2-3B │ 2.02 GB │ Llama 3.2 │

│ Chat — Qwen2.5 3B │ chat │ Qwen2.5-3B-Instruct │ 2.10 GB │ Qwen │

Manifest format

manifest.json is a single JSON file with a components array. Each component has:
id, type (agent | chat | …), name, description, quant, minRamMb, url
(a direct …/resolve/main/<file>.gguf link), sizeBytes, and sha256. Multi-file components
(e.g. a vision model + projector) use a files array instead of a single url.

Licenses

Each model retains its original license (Apache-2.0 for Qwen 0.5B; the Llama 3.2 and Qwen
community licenses for the 3B models). Weights are downloaded directly from the creators' repos;
this repo only distributes the catalog metadata. See each linked model card for full terms.

Downloads last month: 132

GGUF

Model size

8B params

Architecture

gemma4

Hardware compatibility

4-bit

Inference Providers NEW

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

Mr-J-369
/

Fancy-AI

license: other
language:
- en
tags:
- gguf
- llama.cpp
- android
- fancy-ai
- on-device
pretty_name: Fancy AI — Add-on Catalog

Fancy AI — Add-on Catalog

How to use it (in the app)

Current catalog

Manifest format

Licenses

Space using Mr-J-369/Fancy-AI 1

license: other language: - en tags: - gguf - llama.cpp - android - fancy-ai - on-device pretty_name: Fancy AI — Add-on Catalog

Fancy AI — Add-on Catalog

How to use it (in the app)

Current catalog

Manifest format

Licenses

Space using Mr-J-369/Fancy-AI 1

license: other
language:
- en
tags:
- gguf
- llama.cpp
- android
- fancy-ai
- on-device
pretty_name: Fancy AI — Add-on Catalog