Instructions to use studiobrn/modHacker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use studiobrn/modHacker 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 studiobrn/modHacker:F16
# Run inference directly in the terminal:
llama cli -hf studiobrn/modHacker:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf studiobrn/modHacker:F16
# Run inference directly in the terminal:
llama cli -hf studiobrn/modHacker:F16

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 studiobrn/modHacker:F16
# Run inference directly in the terminal:
./llama-cli -hf studiobrn/modHacker:F16

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 studiobrn/modHacker:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf studiobrn/modHacker:F16

Use Docker

docker model run hf.co/studiobrn/modHacker:F16

LM Studio
Jan

vLLM

How to use studiobrn/modHacker with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "studiobrn/modHacker"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "studiobrn/modHacker",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/studiobrn/modHacker:F16

Ollama
How to use studiobrn/modHacker with Ollama:
```
ollama run hf.co/studiobrn/modHacker:F16
```
Unsloth Desktop

How to use studiobrn/modHacker with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf studiobrn/modHacker:F16

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": "studiobrn/modHacker:F16"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use studiobrn/modHacker with Docker Model Runner:
```
docker model run hf.co/studiobrn/modHacker:F16
```

Lemonade

How to use studiobrn/modHacker with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull studiobrn/modHacker:F16

Run and chat with the model

lemonade run user.modHacker-F16

List all available models

lemonade list

Hermes Agent

How to use studiobrn/modHacker with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf studiobrn/modHacker:F16

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 studiobrn/modHacker:F16

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use studiobrn/modHacker with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf studiobrn/modHacker:F16

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 "studiobrn/modHacker:F16" \
  --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"

modHacker

File size: 1,288 Bytes

298849b

modHacker Configuration and Distribution Notice

Copyright (c) 2026 We Are The Art Makers / STUDIOBRN
https://WeAreTheArtMakers.com

This distribution contains a custom system prompt, Ollama configuration,
packaging and branding created by We Are The Art Makers / STUDIOBRN.

Underlying weight lineage and conversion:
- Qwen/Qwen3.5-4B — Qwen: https://huggingface.co/Qwen/Qwen3.5-4B
- rodrigomt/Qwen3.5-4B-Uncensored-Aggressive — Rodrigomt; based on
  HauhauCS/Qwen3.5-4B-Uncensored-HauhauCS-Aggressive:
  https://huggingface.co/rodrigomt/Qwen3.5-4B-Uncensored-Aggressive
- aesir-unlimited/AESIR-Hacker-Micro — aesir-unlimited:
  https://huggingface.co/aesir-unlimited/AESIR-Hacker-Micro
- mradermacher/AESIR-Hacker-Micro-GGUF — F16 GGUF conversion:
  https://huggingface.co/mradermacher/AESIR-Hacker-Micro-GGUF

The underlying model is distributed under the Apache License 2.0. Existing
upstream copyright notices, license text, attribution requirements and other
applicable terms remain in force. This notice neither replaces upstream
licenses nor asserts ownership of upstream model weights.

Custom configuration, system prompt, packaging and branding:
Copyright (c) 2026 We Are The Art Makers / STUDIOBRN.
All rights reserved where permitted by applicable upstream licenses.