Instructions to use 0penAGI/0pen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use 0penAGI/0pen 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 0penAGI/0pen
# Run inference directly in the terminal:
llama cli -hf 0penAGI/0pen

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf 0penAGI/0pen
# Run inference directly in the terminal:
llama cli -hf 0penAGI/0pen

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 0penAGI/0pen
# Run inference directly in the terminal:
./llama-cli -hf 0penAGI/0pen

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 0penAGI/0pen
# Run inference directly in the terminal:
./build/bin/llama-cli -hf 0penAGI/0pen

Use Docker

docker model run hf.co/0penAGI/0pen

LM Studio
Jan

vLLM

How to use 0penAGI/0pen with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "0penAGI/0pen"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "0penAGI/0pen",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/0penAGI/0pen

Ollama
How to use 0penAGI/0pen with Ollama:
```
ollama run hf.co/0penAGI/0pen
```
Unsloth Desktop

How to use 0penAGI/0pen with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf 0penAGI/0pen

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": "0penAGI/0pen"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use 0penAGI/0pen with Docker Model Runner:
```
docker model run hf.co/0penAGI/0pen
```

Lemonade

How to use 0penAGI/0pen with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull 0penAGI/0pen

Run and chat with the model

lemonade run user.0pen-{{QUANT_TAG}}

List all available models

lemonade list

Hermes Agent

How to use 0penAGI/0pen with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf 0penAGI/0pen

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 0penAGI/0pen

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use 0penAGI/0pen with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf 0penAGI/0pen

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 "0penAGI/0pen" \
  --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"

0penAGI commited on Aug 2

Commit

119f033

1 Parent(s): b7b9fc5

Upload README.md with huggingface_hub

Browse files

Files changed (1) hide show

README.md +2 -0

README.md CHANGED Viewed

@@ -22,6 +22,8 @@ tags:
 This is the first public release of an ongoing research project: the dataset was written from scratch, the LoRA was trained locally, and the architecture was modified and experimented with. The model is distributed as a **GGUF (Q4_K_M)** file ready to run in [Ollama](https://ollama.com).
 ## Why this model exists
 Most fine-tuned models are optimized for one thing: following instructions well. 0pen is interested in something slightly different — being a **consistent presence in a conversation**. That means:

 This is the first public release of an ongoing research project: the dataset was written from scratch, the LoRA was trained locally, and the architecture was modified and experimented with. The model is distributed as a **GGUF (Q4_K_M)** file ready to run in [Ollama](https://ollama.com).
+**Source code & full release:** [github.com/0penAGI/0pen](https://github.com/0penAGI/0pen) — dataset pipeline, AGR training wrapper, adapter weights, and scripts.
 ## Why this model exists
 Most fine-tuned models are optimized for one thing: following instructions well. 0pen is interested in something slightly different — being a **consistent presence in a conversation**. That means: