Instructions to use miesdevries/stay4s-lora-q8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use miesdevries/stay4s-lora-q8 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 miesdevries/stay4s-lora-q8
# Run inference directly in the terminal:
llama cli -hf miesdevries/stay4s-lora-q8

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf miesdevries/stay4s-lora-q8
# Run inference directly in the terminal:
llama cli -hf miesdevries/stay4s-lora-q8

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 miesdevries/stay4s-lora-q8
# Run inference directly in the terminal:
./llama-cli -hf miesdevries/stay4s-lora-q8

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 miesdevries/stay4s-lora-q8
# Run inference directly in the terminal:
./build/bin/llama-cli -hf miesdevries/stay4s-lora-q8

Use Docker

docker model run hf.co/miesdevries/stay4s-lora-q8

LM Studio
Jan
Ollama
How to use miesdevries/stay4s-lora-q8 with Ollama:
```
ollama run hf.co/miesdevries/stay4s-lora-q8
```
Unsloth Desktop

How to use miesdevries/stay4s-lora-q8 with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf miesdevries/stay4s-lora-q8

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": "miesdevries/stay4s-lora-q8"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use miesdevries/stay4s-lora-q8 with Docker Model Runner:
```
docker model run hf.co/miesdevries/stay4s-lora-q8
```

Lemonade

How to use miesdevries/stay4s-lora-q8 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull miesdevries/stay4s-lora-q8

Run and chat with the model

lemonade run user.stay4s-lora-q8-{{QUANT_TAG}}

List all available models

lemonade list

Hermes Agent

How to use miesdevries/stay4s-lora-q8 with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf miesdevries/stay4s-lora-q8

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 miesdevries/stay4s-lora-q8

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use miesdevries/stay4s-lora-q8 with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf miesdevries/stay4s-lora-q8

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 "miesdevries/stay4s-lora-q8" \
  --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"

Stay4S LoRA Q8 - Eigen Nederlandse AI

Qwen3-4B-Instruct-2507 met LoRA fine-tuning (r=64, alpha=64). Q8_0 quantizatie (4.3GB). Draait op Raspberry Pi 5 via Ollama.

Gebruik

Ollama: ollama run stay4s-lora

Python: from huggingface_hub import snapshot_download snapshot_download("miesdevries/stay4s-lora-q8")

Stay4S

Soeverein Nederlands AI-ecosysteem. Geen Big Tech. Self-hosted. Website: stay4s.com | GitHub: github.com/hetnieuwebeginbv-glitch | KvK: 87449123

Door: Het Nieuwe Begin BV - Mitchell de Vries

Downloads last month: 273

GGUF

Model size

4B params

Architecture

qwen3

Hardware compatibility

We're not able to determine the quantization variants.

View all variants

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