Text Generation
Safetensors
GGUF
English
reasoning
reinforcement-learning
grpo
small-language-model
samsung-ennovatex
conversational
Instructions to use OmnipotentFool/Aurvion 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 OmnipotentFool/Aurvion 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 OmnipotentFool/Aurvion:Q4_K_M # Run inference directly in the terminal: llama cli -hf OmnipotentFool/Aurvion:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf OmnipotentFool/Aurvion:Q4_K_M # Run inference directly in the terminal: llama cli -hf OmnipotentFool/Aurvion: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 OmnipotentFool/Aurvion:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf OmnipotentFool/Aurvion: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 OmnipotentFool/Aurvion:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf OmnipotentFool/Aurvion:Q4_K_M
Use Docker
docker model run hf.co/OmnipotentFool/Aurvion:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use OmnipotentFool/Aurvion with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "OmnipotentFool/Aurvion" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "OmnipotentFool/Aurvion", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/OmnipotentFool/Aurvion:Q4_K_M
- Ollama
How to use OmnipotentFool/Aurvion with Ollama:
ollama run hf.co/OmnipotentFool/Aurvion:Q4_K_M
- Unsloth Studio
How to use OmnipotentFool/Aurvion with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for OmnipotentFool/Aurvion to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for OmnipotentFool/Aurvion to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for OmnipotentFool/Aurvion to start chatting
- Docker Model Runner
How to use OmnipotentFool/Aurvion with Docker Model Runner:
docker model run hf.co/OmnipotentFool/Aurvion:Q4_K_M
- Lemonade
How to use OmnipotentFool/Aurvion with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull OmnipotentFool/Aurvion:Q4_K_M
Run and chat with the model
lemonade run user.Aurvion-Q4_K_M
List all available models
lemonade list
- Atomic Chat
| # | |
| # Pre-commit hook for llama-ui | |
| # Runs: format (staged files only) + type-check | |
| # Stashes unstaged changes temporarily and restores them after. | |
| # Only run when there are staged changes in tools/ui/ | |
| if ! git diff --cached --name-only | grep -q "^tools/ui/"; then | |
| exit 0 | |
| fi | |
| REPO_ROOT=$(git rev-parse --show-toplevel) | |
| cd "$REPO_ROOT/tools/ui" | |
| # Check that node_modules exists | |
| if [ ! -d "node_modules" ]; then | |
| echo "❌ node_modules not found. Run 'npm install' first." | |
| exit 1 | |
| fi | |
| # Stash unstaged changes in tools/ui/ so they don't interfere | |
| stash_name="pi-ui-precommit" | |
| git stash push --keep-index -u -m "$stash_name" -- tools/ui/ 2>/dev/null || true | |
| echo "Running pre-commit checks for llama-ui..." | |
| # Format only staged files | |
| staged_ui=$(git diff --cached --name-only -- tools/ui/) | |
| if [ -n "$staged_ui" ]; then | |
| echo "$staged_ui" | xargs npm run format | |
| format_ok=$? | |
| # Re-stage formatted files | |
| git add tools/ui/ | |
| else | |
| format_ok=0 | |
| fi | |
| # Type-check the clean tree | |
| npm run check | |
| check_ok=$? | |
| # Restore stashed changes | |
| if git stash list | grep -q "$stash_name"; then | |
| git stash pop 2>/dev/null || true | |
| fi | |
| if [ $format_ok -ne 0 ]; then | |
| echo "❌ Format failed" | |
| exit 1 | |
| fi | |
| if [ $check_ok -ne 0 ]; then | |
| echo "❌ Type check failed" | |
| exit 1 | |
| fi | |
| echo "✅ Pre-commit checks passed" | |
| exit 0 | |