Text Generation
GGUF
English
multilingual
llama.cpp
cpu-inference
q4_k_m
qwen3
offline
local-first
low-end-hardware
document-generation
conversational
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
- llama.cpp
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
- Pi
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"
Publish final installer and portable hashes
Browse files- DOWNLOAD.md +2 -2
- README.md +2 -2
DOWNLOAD.md
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| Installer (recommended) | [TinyAgentSetup-1.0.0.exe](https://huggingface.co/datasets/hkblockchaintechnology/tiny-agent/resolve/main/releases/TinyAgentSetup-1.0.0.exe) | 1,
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| 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,
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More detail, including the source-only package and verification commands:
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[`releases/README.md`](https://huggingface.co/datasets/hkblockchaintechnology/tiny-agent/blob/main/releases/README.md).
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| Installer (recommended) | [TinyAgentSetup-1.0.0.exe](https://huggingface.co/datasets/hkblockchaintechnology/tiny-agent/resolve/main/releases/TinyAgentSetup-1.0.0.exe) | 1,345,009,169 bytes | `88e0381472f488c703ff2a1cefa7ff2c93100921315a2730de75b67a1b9e2587` |
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| Portable ZIP | [TinyAgent-1.0.0-portable.zip](https://huggingface.co/datasets/hkblockchaintechnology/tiny-agent/resolve/main/releases/TinyAgent-1.0.0-portable.zip) | 1,441,673,458 bytes | `dba144dd060d2d215c95264b10d5c02ce63534ce4eba061c66835248251711fa` |
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More detail, including the source-only package and verification commands:
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[`releases/README.md`](https://huggingface.co/datasets/hkblockchaintechnology/tiny-agent/blob/main/releases/README.md).
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README.md
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The installer is not code-signed; Windows SmartScreen may ask you to choose
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**More info -> Run anyway**. A [portable ZIP (1.44 GB)](https://huggingface.co/datasets/hkblockchaintechnology/tiny-agent/resolve/main/releases/TinyAgent-1.0.0-portable.zip)
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is also published, SHA-256
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`
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All files and checksums: [`releases/README.md`](https://huggingface.co/datasets/hkblockchaintechnology/tiny-agent/blob/main/releases/README.md).
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This repository supplies the model that installer uses — or that you can point any
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It is in the **dataset** repository, not this model repository, under
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`releases/`. The file browser does not preview `.exe` files, so use the direct
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link if you cannot see it. SHA-256:
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+
`88e0381472f488c703ff2a1cefa7ff2c93100921315a2730de75b67a1b9e2587`.
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The installer is not code-signed; Windows SmartScreen may ask you to choose
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**More info -> Run anyway**. A [portable ZIP (1.44 GB)](https://huggingface.co/datasets/hkblockchaintechnology/tiny-agent/resolve/main/releases/TinyAgent-1.0.0-portable.zip)
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is also published, SHA-256
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`dba144dd060d2d215c95264b10d5c02ce63534ce4eba061c66835248251711fa`.
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All files and checksums: [`releases/README.md`](https://huggingface.co/datasets/hkblockchaintechnology/tiny-agent/blob/main/releases/README.md).
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This repository supplies the model that installer uses — or that you can point any
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