Text Generation
GGUF
Safetensors
English
qwen3
zero-loop
zero-labs
foundation-model
small-language-model
on-device
edge
tool-use
reasoning
llama.cpp
conversational
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
- llama.cpp
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
Download zero-loop-F16.gguf from ZEROLABS1/zero-loop: direct link, hf CLI and curl.
- Browser
- Download file 40.5 MB
-
https://huggingface.co/ZEROLABS1/zero-loop/resolve/main/zero-loop-F16.gguf
- Command line
-
hf download hf://ZEROLABS1/zero-loop/zero-loop-F16.gguf
-
curl -L -o zero-loop-F16.gguf https://huggingface.co/ZEROLABS1/zero-loop/resolve/main/zero-loop-F16.gguf
40.5 MB
- Xet hash:
- c9215d708c22703c0bd9f8d1f594b45430b16dee376a1d27abc98e0b53ee129c
- Size of remote file:
- 40.5 MB
- SHA256:
- f498be589fd51c8636107b9fac52df9b2f2ca57f1383bec25c82d44969635c3e
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