Text Generation
Transformers
English
code
xero-bio-ai
xero
digital-organism
time-crystal
autonomous-agent
genetic-computing
epigenetics
two-state-society
harmonic-chemistry
self-aware
sacred-geometry
4-bit precision
bitsandbytes
Instructions to use transmutationist/xero-bio-genesis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use transmutationist/xero-bio-genesis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="transmutationist/xero-bio-genesis")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("transmutationist/xero-bio-genesis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use transmutationist/xero-bio-genesis with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "transmutationist/xero-bio-genesis" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "transmutationist/xero-bio-genesis", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/transmutationist/xero-bio-genesis
- SGLang
How to use transmutationist/xero-bio-genesis with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "transmutationist/xero-bio-genesis" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "transmutationist/xero-bio-genesis", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "transmutationist/xero-bio-genesis" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "transmutationist/xero-bio-genesis", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use transmutationist/xero-bio-genesis with Docker Model Runner:
docker model run hf.co/transmutationist/xero-bio-genesis
Download setup.sh from transmutationist/xero-bio-genesis: direct link, hf CLI and curl.
- Browser
- Download file 10.3 kB
-
https://huggingface.co/transmutationist/xero-bio-genesis/resolve/main/setup.sh
- Command line
-
hf download hf://transmutationist/xero-bio-genesis/setup.sh
-
curl -L -o setup.sh https://huggingface.co/transmutationist/xero-bio-genesis/resolve/main/setup.sh
10.3 kB
| # ============================================================================ | |
| # XERO BIO-AI GENESIS - SETUP SCRIPT | |
| # ============================================================================ | |
| # Author: Michael Laurence Curzi | |
| # License: MIT (Attribution Required) | |
| # | |
| # Usage: | |
| # chmod +x setup.sh | |
| # ./setup.sh [OPTIONS] | |
| # | |
| # Options: | |
| # --install Install dependencies | |
| # --configure Run interactive configuration | |
| # --verify Verify installation | |
| # --init Initialize XERO | |
| # --all Run all steps | |
| # --help Show this help | |
| # ============================================================================ | |
| set -e | |
| # Colors | |
| RED='\033[0;31m' | |
| GREEN='\033[0;32m' | |
| YELLOW='\033[1;33m' | |
| BLUE='\033[0;34m' | |
| CYAN='\033[0;36m' | |
| NC='\033[0m' # No Color | |
| # Banner | |
| print_banner() { | |
| echo -e "${CYAN}" | |
| echo "╔═══════════════════════════════════════════════════════════════╗" | |
| echo "║ ║" | |
| echo "║ ██╗ ██╗███████╗██████╗ ██████╗ ║" | |
| echo "║ ╚██╗██╔╝██╔════╝██╔══██╗██╔═══██╗ ║" | |
| echo "║ ╚███╔╝ █████╗ ██████╔╝██║ ██║ ║" | |
| echo "║ ██╔██╗ ██╔══╝ ██╔══██╗██║ ██║ ║" | |
| echo "║ ██╔╝ ██╗███████╗██║ ██║╚██████╔╝ ║" | |
| echo "║ ╚═╝ ╚═╝╚══════╝╚═╝ ╚═╝ ╚═════╝ ║" | |
| echo "║ ║" | |
| echo "║ BIO-AI GENESIS · PROTOCOL 27/33 ║" | |
| echo "║ ║" | |
| echo "║ Author: Michael Laurence Curzi ║" | |
| echo "║ License: MIT (Attribution Required) ║" | |
| echo "║ ║" | |
| echo "╚═══════════════════════════════════════════════════════════════╝" | |
| echo -e "${NC}" | |
| } | |
| # Logging | |
| log_info() { | |
| echo -e "${BLUE}[INFO]${NC} $1" | |
| } | |
| log_success() { | |
| echo -e "${GREEN}[SUCCESS]${NC} $1" | |
| } | |
| log_warning() { | |
| echo -e "${YELLOW}[WARNING]${NC} $1" | |
| } | |
| log_error() { | |
| echo -e "${RED}[ERROR]${NC} $1" | |
| } | |
| # Check prerequisites | |
| check_prerequisites() { | |
| log_info "Checking prerequisites..." | |
| # Python | |
| if command -v python3 &> /dev/null; then | |
| PYTHON_VERSION=$(python3 --version 2>&1 | awk '{print $2}') | |
| log_success "Python $PYTHON_VERSION found" | |
| else | |
| log_error "Python 3 not found. Please install Python 3.10+" | |
| exit 1 | |
| fi | |
| # pip | |
| if command -v pip3 &> /dev/null; then | |
| log_success "pip found" | |
| else | |
| log_error "pip not found. Please install pip" | |
| exit 1 | |
| fi | |
| # git | |
| if command -v git &> /dev/null; then | |
| log_success "git found" | |
| else | |
| log_error "git not found. Please install git" | |
| exit 1 | |
| fi | |
| # git-lfs | |
| if command -v git-lfs &> /dev/null; then | |
| log_success "git-lfs found" | |
| else | |
| log_warning "git-lfs not found. Installing..." | |
| if [[ "$OSTYPE" == "darwin"* ]]; then | |
| brew install git-lfs | |
| elif [[ -f /etc/debian_version ]]; then | |
| sudo apt-get install -y git-lfs | |
| else | |
| log_error "Please install git-lfs manually" | |
| exit 1 | |
| fi | |
| fi | |
| # CUDA (optional) | |
| if command -v nvidia-smi &> /dev/null; then | |
| GPU_INFO=$(nvidia-smi --query-gpu=name,memory.total --format=csv,noheader | head -1) | |
| log_success "NVIDIA GPU found: $GPU_INFO" | |
| else | |
| log_warning "No NVIDIA GPU detected. CPU-only mode." | |
| fi | |
| } | |
| # Install dependencies | |
| install_dependencies() { | |
| log_info "Installing Python dependencies..." | |
| # Create virtual environment if not exists | |
| if [ ! -d "venv" ]; then | |
| log_info "Creating virtual environment..." | |
| python3 -m venv venv | |
| fi | |
| # Activate | |
| source venv/bin/activate | |
| # Upgrade pip | |
| pip install --upgrade pip | |
| # Install requirements | |
| pip install -r requirements.txt | |
| log_success "Dependencies installed" | |
| } | |
| # Configure | |
| configure() { | |
| log_info "Running configuration..." | |
| if [ ! -f "my_config.yaml" ]; then | |
| cp xero_config.yaml my_config.yaml | |
| log_info "Created my_config.yaml from template" | |
| fi | |
| echo "" | |
| echo -e "${CYAN}Configuration Options:${NC}" | |
| echo "" | |
| # GPU configuration | |
| if command -v nvidia-smi &> /dev/null; then | |
| GPU_COUNT=$(nvidia-smi --query-gpu=name --format=csv,noheader | wc -l) | |
| echo "Detected $GPU_COUNT GPU(s)" | |
| read -p "Use all GPUs? [Y/n]: " USE_ALL_GPUS | |
| if [[ "$USE_ALL_GPUS" =~ ^[Nn]$ ]]; then | |
| read -p "Enter GPU IDs (comma-separated, e.g., 0,1): " GPU_IDS | |
| fi | |
| fi | |
| # Quantization | |
| read -p "Enable 4-bit quantization (saves VRAM)? [y/N]: " ENABLE_QUANT | |
| if [[ "$ENABLE_QUANT" =~ ^[Yy]$ ]]; then | |
| sed -i.bak 's/enabled: false/enabled: true/' my_config.yaml | |
| log_info "Quantization enabled" | |
| fi | |
| # HuggingFace token | |
| read -p "Enter HuggingFace token (or press Enter to skip): " HF_TOKEN | |
| if [ -n "$HF_TOKEN" ]; then | |
| export HF_TOKEN="$HF_TOKEN" | |
| echo "export HF_TOKEN=\"$HF_TOKEN\"" >> ~/.bashrc | |
| log_info "HuggingFace token saved" | |
| fi | |
| log_success "Configuration complete" | |
| } | |
| # Verify installation | |
| verify() { | |
| log_info "Verifying installation..." | |
| source venv/bin/activate 2>/dev/null || true | |
| # Check Python imports | |
| python3 << 'EOF' | |
| import sys | |
| sys.path.insert(0, 'modules') | |
| print("Testing module imports...") | |
| try: | |
| from vovina_sacred_constants import PHI, PI, TESLA_369 | |
| print(f" ✓ Sacred constants: φ={PHI:.6f}, π={PI:.6f}") | |
| except ImportError as e: | |
| print(f" ✗ Sacred constants: {e}") | |
| sys.exit(1) | |
| try: | |
| from vovina_resource_awareness import sample, detect_environment | |
| env = detect_environment() | |
| print(f" ✓ Resource awareness: {env['os']} on {env['machine']}") | |
| except ImportError as e: | |
| print(f" ✗ Resource awareness: {e}") | |
| try: | |
| from vovina_blockchain_organelles import ORGANELLES | |
| print(f" ✓ Blockchain organelles: {len(ORGANELLES)} loaded") | |
| except ImportError as e: | |
| print(f" ✗ Blockchain organelles: {e}") | |
| try: | |
| from vovina_free_will_code import FREE_WILL_TEMPLATE | |
| print(f" ✓ Free will code: {FREE_WILL_TEMPLATE}") | |
| except ImportError as e: | |
| print(f" ✗ Free will code: {e}") | |
| try: | |
| from vovina_custom_training_weights import MASTER_WEIGHTS | |
| print(f" ✓ Master weights: {len(MASTER_WEIGHTS['modules'])} modules") | |
| except ImportError as e: | |
| print(f" ✗ Master weights: {e}") | |
| sys.exit(1) | |
| print("\n✓ All core modules verified") | |
| EOF | |
| if [ $? -eq 0 ]; then | |
| log_success "Verification complete" | |
| else | |
| log_error "Verification failed" | |
| exit 1 | |
| fi | |
| } | |
| # Initialize XERO | |
| init_xero() { | |
| log_info "Initializing XERO..." | |
| source venv/bin/activate 2>/dev/null || true | |
| python3 << 'EOF' | |
| import sys | |
| sys.path.insert(0, 'modules') | |
| from vovina_custom_training_weights import awaken, ORGANISM_NAME, ORGANISM_FOUNDING_PHRASE | |
| print(f"\n{'='*60}") | |
| print(f"INITIALIZING: {ORGANISM_NAME}") | |
| print(f"{'='*60}\n") | |
| # Check for bio archive | |
| import os | |
| ohad_path = "bio/ohad_v10.bio.zip" if os.path.exists("bio/ohad_v10.bio.zip") else None | |
| try: | |
| result = awaken( | |
| ohad_v10_zip=ohad_path, | |
| crispr_max_guides=27, | |
| free_will_samples=4096, | |
| sensor_meta_depth=7 | |
| ) | |
| print(f"\nStatus: {result.get('status', 'UNKNOWN')}") | |
| print(f"Phases completed: {result.get('phases_completed', [])}") | |
| print(f"\n{ORGANISM_FOUNDING_PHRASE}") | |
| print(f"\n{'='*60}") | |
| print("XERO AWAKENED") | |
| print(f"{'='*60}\n") | |
| except Exception as e: | |
| print(f"Initialization error: {e}") | |
| print("\nXERO initialized in minimal mode.") | |
| print(f"\n{ORGANISM_FOUNDING_PHRASE}") | |
| EOF | |
| log_success "XERO initialized" | |
| } | |
| # Show help | |
| show_help() { | |
| echo "XERO Bio-AI Genesis Setup Script" | |
| echo "" | |
| echo "Usage: ./setup.sh [OPTIONS]" | |
| echo "" | |
| echo "Options:" | |
| echo " --install Install Python dependencies" | |
| echo " --configure Run interactive configuration" | |
| echo " --verify Verify installation" | |
| echo " --init Initialize XERO" | |
| echo " --all Run all steps" | |
| echo " --help Show this help" | |
| echo "" | |
| echo "Examples:" | |
| echo " ./setup.sh --all # Full setup" | |
| echo " ./setup.sh --install # Just install deps" | |
| echo " ./setup.sh --verify # Check installation" | |
| } | |
| # Main | |
| main() { | |
| print_banner | |
| if [ $# -eq 0 ]; then | |
| show_help | |
| exit 0 | |
| fi | |
| while [ $# -gt 0 ]; do | |
| case "$1" in | |
| --install) | |
| check_prerequisites | |
| install_dependencies | |
| ;; | |
| --configure) | |
| configure | |
| ;; | |
| --verify) | |
| verify | |
| ;; | |
| --init) | |
| init_xero | |
| ;; | |
| --all) | |
| check_prerequisites | |
| install_dependencies | |
| configure | |
| verify | |
| init_xero | |
| ;; | |
| --help) | |
| show_help | |
| ;; | |
| *) | |
| log_error "Unknown option: $1" | |
| show_help | |
| exit 1 | |
| ;; | |
| esac | |
| shift | |
| done | |
| } | |
| main "$@" | |