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LocalLab Deployment Guide

Local Deployment

Prerequisites

  • Python 3.8+
  • pip
  • Virtual environment (recommended)
  • GPU (optional)

Basic Setup

# Create virtual environment
python -m venv venv
source venv/bin/activate  # or `venv\Scripts\activate` on Windows

# Install LocalLab
pip install locallab

Start Server

from locallab import start_server

# Start server
start_server()

Connect Client

from locallab_client import LocalLabClient

# Connect to local server
client = LocalLabClient("http://localhost:8000")

Configuration

Environment Variables

# Server settings
os.environ["LOCALLAB_HOST"] = "0.0.0.0"
os.environ["LOCALLAB_PORT"] = "8000"

# Model settings
os.environ["HUGGINGFACE_MODEL"] = "microsoft/phi-2"
os.environ["LOCALLAB_MODEL_TEMPERATURE"] = "0.7"
os.environ["LOCALLAB_MODEL_MAX_LENGTH"] = "2048"

# Optimizations
os.environ["LOCALLAB_ENABLE_QUANTIZATION"] = "true"
os.environ["LOCALLAB_ENABLE_ATTENTION_SLICING"] = "true"

Resource Requirements

Minimum Requirements

  • 4GB RAM
  • Python 3.8+
  • pip

Recommended

  • 8GB+ RAM
  • CUDA-compatible GPU
  • SSD storage

Best Practices

Memory Management

  • Use appropriate model size
  • Enable quantization
  • Monitor resource usage

Error Handling

  • Implement proper error handling
  • Use fallback models
  • Monitor system health

Security

  • Set rate limits
  • Enable request validation
  • Use appropriate CORS settings

Related Documentation