Instructions to use Nock-AI/nock-coder-1.5b-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Nock-AI/nock-coder-1.5b-GGUF 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 Nock-AI/nock-coder-1.5b-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Nock-AI/nock-coder-1.5b-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Nock-AI/nock-coder-1.5b-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Nock-AI/nock-coder-1.5b-GGUF: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 Nock-AI/nock-coder-1.5b-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Nock-AI/nock-coder-1.5b-GGUF: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 Nock-AI/nock-coder-1.5b-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Nock-AI/nock-coder-1.5b-GGUF:Q4_K_M

Use Docker

docker model run hf.co/Nock-AI/nock-coder-1.5b-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use Nock-AI/nock-coder-1.5b-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Nock-AI/nock-coder-1.5b-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Nock-AI/nock-coder-1.5b-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Nock-AI/nock-coder-1.5b-GGUF:Q4_K_M

Ollama
How to use Nock-AI/nock-coder-1.5b-GGUF with Ollama:
```
ollama run hf.co/Nock-AI/nock-coder-1.5b-GGUF:Q4_K_M
```
Unsloth Desktop

How to use Nock-AI/nock-coder-1.5b-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Nock-AI/nock-coder-1.5b-GGUF:Q4_K_M

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": "Nock-AI/nock-coder-1.5b-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use Nock-AI/nock-coder-1.5b-GGUF with Docker Model Runner:
```
docker model run hf.co/Nock-AI/nock-coder-1.5b-GGUF:Q4_K_M
```

Lemonade

How to use Nock-AI/nock-coder-1.5b-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Nock-AI/nock-coder-1.5b-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.nock-coder-1.5b-GGUF-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use Nock-AI/nock-coder-1.5b-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Nock-AI/nock-coder-1.5b-GGUF:Q4_K_M

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 Nock-AI/nock-coder-1.5b-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use Nock-AI/nock-coder-1.5b-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Nock-AI/nock-coder-1.5b-GGUF:Q4_K_M

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 "Nock-AI/nock-coder-1.5b-GGUF:Q4_K_M" \
  --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"

nock-coder-1.5b-GGUF

The 1 GB build of Nock-AI/nock-coder-1.5b: an open coding model from NockAI that answers with the code first. One 986 MB file, Q4_K_M, for Ollama and llama.cpp on Windows, macOS and Linux. No GPU, account or API key needed.

Run it

ollama run hf.co/Nock-AI/nock-coder-1.5b-GGUF Ask once, without starting a chat: ollama run hf.co/Nock-AI/nock-coder-1.5b-GGUF "Reverse a string in Python" Or download the files and use the included Modelfile: hf download Nock-AI/nock-coder-1.5b-GGUF --local-dir nock-coder cd nock-coder ollama create nock-coder -f Modelfile ollama run nock-coder With llama.cpp: llama-cli -hf Nock-AI/nock-coder-1.5b-GGUF -cnv

The file


File	`nock-coder-1.5b-Q4_K_M.gguf`, 986 MB
Quantization	Q4_K_M: most weights in 4 bits, a few tensors in 6 bits, 5.1 bits per weight on average
Full precision size	3.09 GB in FP16
Memory in use	about 2 GB, so an 8 GB laptop has room to spare

Results

50 short coding prompts, greedy decoding, no system prompt passed. Base model and v1 were measured on the 4 bit file with Ollama; v2 was measured in full precision on an earlier training run of the same recipe (same data and settings), and this 4 bit file will be re-measured with the same harness.

	Base model	Nock Coder v1	Nock Coder v2
Words per answer	184	48	54
Words outside the code	133	17	16
Answers that start with code	1 of 50	27 of 50	50 of 50
Answers with no code at all	0 of 50	12 of 50	0 of 50

Every raw answer: https://nockai.dev/evaluation/. HumanEval and Solidity compile results are not published yet.

Limitations

This is a 1.5B model. It makes mistakes, and its code can be wrong or insecure. Review it before you run it.
Smart contract output is not audited. Have contracts reviewed by a qualified person before you deploy them.
NockAI is an independent project and is not affiliated with Robinhood, Alibaba or Nockchain.

Training details are in the full model card.