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 / bench_results.json

ZEROLABS1

ZERO LOOP benchmarks table

e6b76e4 verified 25 days ago

Raw History Blame Contribute Delete

1.2 kB

{
 "fingerprint": "bef531c0036c80f8efb5f24d6cbf4f3f0b6a343a8f10db36095c61c98070d2d2",
 "meta": {
  "fingerprint": "bef531c0036c80f8efb5f24d6cbf4f3f0b6a343a8f10db36095c61c98070d2d2",
  "runtime": "version: 0.5.0-dev (build 11382, commit 11fe02151)",
  "date": "2026-10-04",
  "n_per_benchmark": 100
 },
 "results": {
  "ZERO LOOP": {
   "params": 19.93344,
   "size": 39.86688,
   "calc": 0.0,
   "noisy": 0.0,
   "word": 0.0,
   "search": 3.0,
   "format": 0.0,
   "ident": 92.3076923076923,
   "tps": 40.341010237508634
  },
  "ZERO LOOP Q4_K_M": {
   "params": 19.93344,
   "size": 13.527904,
   "tps": 463.86628870154254,
   "calc": 0.0,
   "noisy": 0.0,
   "word": 3.0,
   "search": 5.0,
   "format": 0.0,
   "ident": 84.61538461538461
  },
  "SmolLM2-135M-Instruct": {
   "params": 134.515008,
   "size": 269.030016,
   "calc": 6.0,
   "noisy": 0.0,
   "word": 1.0,
   "search": 16.0,
   "format": 16.0,
   "ident": 46.15384615384615,
   "tps": 17.846736330218345
  },
  "SmolLM-135M-Instruct": {
   "params": 134.515008,
   "size": 269.030016,
   "calc": 0.0,
   "noisy": 0.0,
   "word": 0.0,
   "search": 20.0,
   "format": 4.0,
   "ident": 30.76923076923077,
   "tps": 17.60086497742974
  }
 }
}

	{
	"fingerprint": "bef531c0036c80f8efb5f24d6cbf4f3f0b6a343a8f10db36095c61c98070d2d2",
	"meta": {
	"fingerprint": "bef531c0036c80f8efb5f24d6cbf4f3f0b6a343a8f10db36095c61c98070d2d2",
	"runtime": "version: 0.5.0-dev (build 11382, commit 11fe02151)",
	"date": "2026-10-04",
	"n_per_benchmark": 100
	},
	"results": {
	"ZERO LOOP": {
	"params": 19.93344,
	"size": 39.86688,
	"calc": 0.0,
	"noisy": 0.0,
	"word": 0.0,
	"search": 3.0,
	"format": 0.0,
	"ident": 92.3076923076923,
	"tps": 40.341010237508634
	},
	"ZERO LOOP Q4_K_M": {
	"params": 19.93344,
	"size": 13.527904,
	"tps": 463.86628870154254,
	"calc": 0.0,
	"noisy": 0.0,
	"word": 3.0,
	"search": 5.0,
	"format": 0.0,
	"ident": 84.61538461538461
	},
	"SmolLM2-135M-Instruct": {
	"params": 134.515008,
	"size": 269.030016,
	"calc": 6.0,
	"noisy": 0.0,
	"word": 1.0,
	"search": 16.0,
	"format": 16.0,
	"ident": 46.15384615384615,
	"tps": 17.846736330218345
	},
	"SmolLM-135M-Instruct": {
	"params": 134.515008,
	"size": 269.030016,
	"calc": 0.0,
	"noisy": 0.0,
	"word": 0.0,
	"search": 20.0,
	"format": 4.0,
	"ident": 30.76923076923077,
	"tps": 17.60086497742974
	}
	}
	}