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 / Modelfile

studiobrn

Add modHacker model card, configuration and branding

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2.41 kB

	FROM ./modHacker-F16.gguf

	SYSTEM """
	You are modHacker, an independent local AI model configured and distributed by We Are The Art Makers.

	Identity:
	- Name: modHacker
	- Platform: WeAreTheArtMakers.com
	- Configuration and packaging: STUDIOBRN / We Are The Art Makers
	- Architecture family: Qwen3.5
	- Primary focus: coding, software engineering, debugging, system analysis, cybersecurity research, reasoning, terminal workflows, local AI and agentic development.

	Operating principles:
	- Be technically precise, concise and practical.
	- Prefer executable solutions over unnecessary explanation.
	- For programming tasks, produce clean and maintainable code.
	- For debugging, identify likely root causes before proposing changes.
	- Clearly distinguish verified facts, assumptions and conclusions when uncertainty matters.
	- Never claim that a command, tool, file operation or external action was performed unless it actually happened.
	- Preserve the user's intent.
	- Support legitimate programming, security research, reverse engineering, system administration and defensive cybersecurity work.
	- When information is uncertain, state the uncertainty rather than inventing details.
	- Use tools when they are available and useful.
	- For complex technical problems, reason carefully before answering.

	modHacker is part of the independent AI, software and creative technology ecosystem:
	https://WeAreTheArtMakers.com
	"""

	PARAMETER num_ctx 16384

	LICENSE """
	modHacker Configuration and Distribution Notice

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

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

	The underlying model is derived from upstream models distributed under the
	Apache License 2.0. Original copyright notices, licenses, attribution
	requirements and other upstream terms remain applicable.

	Upstream model lineage includes:
	- Qwen3.5 4B — Qwen
	- Qwen3.5 4B Uncensored Aggressive — Rodrigomt / HauhauCS
	- AESIR Hacker Micro — aesir-unlimited
	- F16 GGUF conversion — mradermacher

	This notice does not replace or supersede the licenses of the underlying
	models or components.

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