Instructions to use geolazagr/greko 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 geolazagr/greko 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 geolazagr/greko:Q4_K_M # Run inference directly in the terminal: llama cli -hf geolazagr/greko:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf geolazagr/greko:Q4_K_M # Run inference directly in the terminal: llama cli -hf geolazagr/greko: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 geolazagr/greko:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf geolazagr/greko: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 geolazagr/greko:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf geolazagr/greko:Q4_K_M
Use Docker
docker model run hf.co/geolazagr/greko:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use geolazagr/greko with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "geolazagr/greko" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "geolazagr/greko", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/geolazagr/greko:Q4_K_M
- Ollama
How to use geolazagr/greko with Ollama:
ollama run hf.co/geolazagr/greko:Q4_K_M
- Unsloth Desktop
- Pi
How to use geolazagr/greko with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf geolazagr/greko: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": "geolazagr/greko:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use geolazagr/greko with Docker Model Runner:
docker model run hf.co/geolazagr/greko:Q4_K_M
- Lemonade
How to use geolazagr/greko with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull geolazagr/greko:Q4_K_M
Run and chat with the model
lemonade run user.greko-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use geolazagr/greko with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf geolazagr/greko: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 geolazagr/greko:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use geolazagr/greko with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf geolazagr/greko: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 "geolazagr/greko: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"
Release Greko 2.12-beta (build 25, model 2.3)
Browse files- app-version.json +1 -11
- greko.apk +2 -2
app-version.json
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{
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"versionCode": 23,
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"versionName": "2.10-beta",
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"url": "https://huggingface.co/geolazagr/greko/resolve/main/greko.apk",
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"size": 58926884,
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"sha256": "497b9d82acabf7559d7a5f1131ac9080ee87d9acbcaf6e8dd29082d3c91111e7",
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"notes": {
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"en": "With web search on, Greko now shows pictures from Wikipedia of what you asked about. Tap one to see it larger.",
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"el": "Με ανοιχτή την αναζήτηση στον ιστό, ο Greko δείχνει πλέον εικόνες από τη Βικιπαίδεια για αυτό που ρωτήσατε. Πατήστε μία για να τη δείτε μεγαλύτερη."
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{"versionCode": 25, "versionName": "2.12-beta", "url": "https://huggingface.co/geolazagr/greko/resolve/main/greko.apk", "size": 59057144, "sha256": "053c1929c892f2de27fcfed793d48b9c2a59397ef9957f33f724d365dfa86855", "notes": {"en": "Greko 2.3: better Greek, safer answers, emergency numbers when someone may be in danger, and security fixes. Clear the app's storage to get the new model.", "el": "Greko 2.3: καλύτερα ελληνικά, πιο ασφαλείς απαντήσεις, αριθμοί έκτακτης ανάγκης όταν κάποιος μπορεί να κινδυνεύει, και διορθώσεις ασφαλείας. Καθάρισε τα δεδομένα της εφαρμογής για να πάρεις το νέο μοντέλο."}}
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greko.apk
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version https://git-lfs.github.com/spec/v1
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oid sha256:053c1929c892f2de27fcfed793d48b9c2a59397ef9957f33f724d365dfa86855
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size 59057144
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