Instructions to use hkblockchaintechnology/tiny-agent-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 hkblockchaintechnology/tiny-agent-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 hkblockchaintechnology/tiny-agent-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf hkblockchaintechnology/tiny-agent-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 hkblockchaintechnology/tiny-agent-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf hkblockchaintechnology/tiny-agent-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 hkblockchaintechnology/tiny-agent-gguf:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf hkblockchaintechnology/tiny-agent-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 hkblockchaintechnology/tiny-agent-gguf:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf hkblockchaintechnology/tiny-agent-gguf:Q4_K_M

Use Docker

docker model run hf.co/hkblockchaintechnology/tiny-agent-gguf:Q4_K_M

LM Studio
Jan

vLLM

How to use hkblockchaintechnology/tiny-agent-gguf with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "hkblockchaintechnology/tiny-agent-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": "hkblockchaintechnology/tiny-agent-gguf",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/hkblockchaintechnology/tiny-agent-gguf:Q4_K_M

Ollama
How to use hkblockchaintechnology/tiny-agent-gguf with Ollama:
```
ollama run hf.co/hkblockchaintechnology/tiny-agent-gguf:Q4_K_M
```
Unsloth Desktop

How to use hkblockchaintechnology/tiny-agent-gguf with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf hkblockchaintechnology/tiny-agent-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": "hkblockchaintechnology/tiny-agent-gguf:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use hkblockchaintechnology/tiny-agent-gguf with Docker Model Runner:
```
docker model run hf.co/hkblockchaintechnology/tiny-agent-gguf:Q4_K_M
```

Lemonade

How to use hkblockchaintechnology/tiny-agent-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull hkblockchaintechnology/tiny-agent-gguf:Q4_K_M

Run and chat with the model

lemonade run user.tiny-agent-gguf-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use hkblockchaintechnology/tiny-agent-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 hkblockchaintechnology/tiny-agent-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 hkblockchaintechnology/tiny-agent-gguf:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use hkblockchaintechnology/tiny-agent-gguf with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf hkblockchaintechnology/tiny-agent-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 "hkblockchaintechnology/tiny-agent-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"

tiny-agent-gguf

File size: 1,608 Bytes

# Download Tiny Agent 1.0.0

The Windows installer is **not in this model repository**. It is in the dataset
repository, under `releases/`. Hugging Face does not preview `.exe` files, so the
file browser can look empty even when the file is there.

## Direct download

| What | Link | Size | SHA-256 |
|---|---|---|---|
| Installer (recommended) | [TinyAgentSetup-1.0.0.exe](https://huggingface.co/datasets/hkblockchaintechnology/tiny-agent/resolve/main/releases/TinyAgentSetup-1.0.0.exe) | 1,345,010,094 bytes | `b43411af13f8a31dfbd6bef5d3f3ba9e425179de9f5ae293b7102546cfde33fa` |
| Portable ZIP | [TinyAgent-1.0.0-portable.zip](https://huggingface.co/datasets/hkblockchaintechnology/tiny-agent/resolve/main/releases/TinyAgent-1.0.0-portable.zip) | 1,441,679,370 bytes | `eb134a6632483da1c248b2a67c0f928f0aa217d57f7ea29a3ff89801a50bd3b9` |

More detail, including the source-only package and verification commands:
[`releases/README.md`](https://huggingface.co/datasets/hkblockchaintechnology/tiny-agent/blob/main/releases/README.md).

## Before running the installer

It is not code-signed yet. Windows SmartScreen may show "Windows protected your
PC". Choose **More info -> Run anyway**, or verify the SHA-256 first:

```powershell
Get-FileHash .\TinyAgentSetup-1.0.0.exe -Algorithm SHA256
```

## What you get

An Office-style workspace with the assistant present in **Create, Edit, Polish and
Batch** — not a chat window bolted onto a menu. It writes and edits ordinary
`.docx`, `.xlsx` and `.pptx` files, entirely offline on your CPU. No account, no
cloud API, no subscription, no per-document cost.