Instructions to use ZEROLABS1/zero-loop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use ZEROLABS1/zero-loop 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 ZEROLABS1/zero-loop:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf ZEROLABS1/zero-loop:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ZEROLABS1/zero-loop:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf ZEROLABS1/zero-loop: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 ZEROLABS1/zero-loop:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf ZEROLABS1/zero-loop: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 ZEROLABS1/zero-loop:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf ZEROLABS1/zero-loop:Q4_K_M

Use Docker

docker model run hf.co/ZEROLABS1/zero-loop:Q4_K_M

Llama new
LM Studio
Jan

vLLM

How to use ZEROLABS1/zero-loop with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ZEROLABS1/zero-loop"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ZEROLABS1/zero-loop",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/ZEROLABS1/zero-loop:Q4_K_M

Ollama
How to use ZEROLABS1/zero-loop with Ollama:
```
ollama run hf.co/ZEROLABS1/zero-loop:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use ZEROLABS1/zero-loop with Docker Model Runner:
```
docker model run hf.co/ZEROLABS1/zero-loop:Q4_K_M
```

Lemonade

How to use ZEROLABS1/zero-loop with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ZEROLABS1/zero-loop:Q4_K_M

Run and chat with the model

lemonade run user.zero-loop-Q4_K_M

List all available models

lemonade list

Atomic Chat

zero-loop / chat_template.jinja

ZEROLABS1

ZERO LOOP chat weights (safetensors, tokenizer, config)

e17c5e8 verified 25 days ago

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613 Bytes

{% if messages[0]['role'] != 'system' %}<|system|>You are Zero Loop, an AI assistant created by Zero Labs. Your name is Zero Loop and your creator is Zero Labs. Think inside <think></think> before you answer. Tools: search (argument query) looks up Wikipedia, calculator (argument expression) evaluates arithmetic. To call a tool output <tool_call> then a JSON object with keys name and arguments then </tool_call>, and wait for the tool result.<|end|>{% endif %}{% for m in messages %}<|{{ m['role'] }}|>{{ m['content'] }}<|end|>{% endfor %}{% if add_generation_prompt %}<|assistant|>{{ '<think>\n' }}{% endif %}