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 / tokenizer_config.json

ZEROLABS1

ZERO LOOP chat weights (safetensors, tokenizer, config)

e17c5e8 verified 25 days ago

Raw History Blame Contribute Delete

193 Bytes

{
  "backend": "tokenizers",
  "clean_up_tokenization_spaces": false,
  "eos_token": "<|end|>",
  "model_max_length": 4096,
  "pad_token": "<|pad|>",
  "tokenizer_class": "TokenizersBackend"
}

	{
	"backend": "tokenizers",
	"clean_up_tokenization_spaces": false,
	"eos_token": "<\|end\|>",
	"model_max_length": 4096,
	"pad_token": "<\|pad\|>",
	"tokenizer_class": "TokenizersBackend"
	}