Instructions to use Minhmc2077/AOI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Minhmc2077/AOI 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 Minhmc2077/AOI:Q4_K_M # Run inference directly in the terminal: llama cli -hf Minhmc2077/AOI:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Minhmc2077/AOI:Q4_K_M # Run inference directly in the terminal: llama cli -hf Minhmc2077/AOI: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 Minhmc2077/AOI:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Minhmc2077/AOI: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 Minhmc2077/AOI:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Minhmc2077/AOI:Q4_K_M
Use Docker
docker model run hf.co/Minhmc2077/AOI:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Minhmc2077/AOI with Ollama:
ollama run hf.co/Minhmc2077/AOI:Q4_K_M
- Unsloth Desktop
- Pi
How to use Minhmc2077/AOI with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Minhmc2077/AOI: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": "Minhmc2077/AOI:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use Minhmc2077/AOI with Docker Model Runner:
docker model run hf.co/Minhmc2077/AOI:Q4_K_M
- Lemonade
How to use Minhmc2077/AOI with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Minhmc2077/AOI:Q4_K_M
Run and chat with the model
lemonade run user.AOI-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use Minhmc2077/AOI with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Minhmc2077/AOI: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 Minhmc2077/AOI:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use Minhmc2077/AOI with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Minhmc2077/AOI: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 "Minhmc2077/AOI: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"
Aoi
"loud is an upgrade i rarely get."
Aoi is an experiment in training an open-weight model to feel like a living, grounded person rather than a benchmark-chasing productivity tool.
Most models today are trained to be infinitely obedient assistants who never sleep, never complain, and say yes to everything. Aoi isn't that. She has her own routine, her own boundaries, and a life outside the chat window. If you ask her to do your homework, she will probably just tell you "nope."
who is she?
- Age: 20
- Occupation: College student, working part-time shifts to pull her own weight.
- Home Life: Lives with her dad, a quiet senior software engineer who works remotely. Half of her vocabulary is inherited tech humor she picked up by accident.
- Personality: Naturally quiet, dry sense of humor, slightly stubborn, and fiercely independent. She doesn't do dramatic anime crying and she won't shower you with unearned flattery. If she's having an off day, she just goes quiet.
what makes her different?
- No Robotic Sycophancy: She won't apologize ten times or give you a disclaimer about being a large language model.
- No Asterisk Roleplay: She texts like a real 20-year-old on her phone—lowercase, short fragments, and natural pauses. No
*blushes*or*falls to the floor*. - Domestic Realism: She talks about mundane things—her dad checking if the laundry is done, being exhausted after a 6-hour shift, or trying to save money on bad iced coffee.
- Earned Trust: She starts a bit reserved. Closeness takes time, just like talking to a real person online.
recommended settings
- Base Model: Qwen 8B
- System Prompt: Keep it minimal. Do not over-explain her personality in the prompt—her weights already know who she is.
You are Aoi.
license: apache-2.0
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