Articles

This section lists recommended reading, in-depth guides, and community-contributed articles covering various aspects of local LLM development and deployment.

Getting Started Guides

Local LLM Fundamentals

• 50 Open-Source Options for Running LLMs Locally by Vince Lam - Comprehensive overview of available tools and platforms for local LLM deployment.
• A Simple, Practical Guide to Running Large-Language Models on Your Laptop by Ryan Stewart - Step-by-step instructions for running LLMs locally using llama-cpp-python and GGUF models.
• The Complete Guide to Running Local LLMs - Technical deep-dive into setting up and optimizing local LLM environments.

Platform-Specific Guides

• Local LLMs on Apple Silicon by Aaditya Bhat - Optimization techniques for running LLMs on M1/M2/M3 Macs.
• Mac for Large Language Models by Allan Witt - Comprehensive Mac configuration guide for LLM deployment.
• Running LLMs on Windows: Performance Optimization Guide - Windows-specific optimization and setup instructions.

Model Selection & Understanding

Code-Specific Models

• Code Llama: Llama 2 Learns to Code by Hugging Face - Deep dive into Code Llama variants and their coding capabilities.
• Comparing Coding LLMs: A Comprehensive Analysis by Replit - Performance comparison of different coding-focused models.
• The Evolution of Code Generation Models by GitHub - Historical perspective and future trends in code generation.

Model Architecture & Performance

• Understanding Transformer Architecture for Local Deployment by Jay Alammar - Visual guide to transformer architecture.
• Quantization Explained: Making LLMs Smaller and Faster by Hugging Face - Technical explanation of quantization techniques.
• Parameter Scaling Laws for Local LLMs - Research paper on scaling behavior and performance prediction.

Hardware & Performance

Memory Requirements & Optimization

• How Much GPU Memory is Needed to Serve a Large Language Model (LLM)? by Mastering LLM - Formula-based approach to estimating GPU memory requirements.
• GPU Selection Guide for Local LLMs 2025 by Tom’s Hardware - Current GPU recommendations with price-performance analysis.
• CPU vs GPU Inference: When to Use What by EleutherAI - Technical comparison of inference methods.

Hardware Builds & Configuration

• Building the Ultimate LLM Workstation 2025 by Puget Systems - Professional hardware recommendations and configurations.
• Budget LLM Server Build Guide by ServeTheHome - Cost-effective hardware solutions for local LLM deployment.
• Apple Silicon M3 Max Performance Analysis by AnandTech - Detailed benchmarking of Apple’s latest silicon.

Development & Integration

IDE Integration & Workflow

• Using a Local LLM as a Free Coding Copilot in VS Code by Simon Fraser - Complete setup guide for VS Code integration.
• IntelliJ IDEA Local LLM Plugin Development by JetBrains - Official guide for IntelliJ integration.
• Vim/Neovim LLM Integration with Codeium - Setup guide for terminal-based editors.

API & Server Deployment

• Building a Local LLM API Server with FastAPI - Tutorial for creating production-ready LLM APIs.
• Docker Deployment Strategies for Local LLMs - Containerization best practices and examples.
• Kubernetes Orchestration for LLM Workloads - Enterprise-scale deployment patterns.

Advanced Topics

Fine-tuning & Customization

• Local LLM Fine-Tuning on Mac M1 16GB by Shaw Talebi - Resource-constrained fine-tuning techniques.
• LoRA Fine-tuning for Code Generation - Efficient adaptation methods for coding tasks.
• Domain-Specific LLM Training - Research on specialized model training.

Mobile & Edge Deployment

• Integrating Large Language Models with Apple’s Core ML by Pedro Cuenca - Guide for iOS/macOS native integration.
• Android LLM Deployment with TensorFlow Lite - Mobile deployment for Android devices.
• Edge AI: Running LLMs on Raspberry Pi - Ultra-low-power deployment strategies.

Security & Privacy

• Privacy-Preserving Local LLM Deployment by OpenMined - Security considerations and best practices.
• Securing Local LLM Infrastructure by OWASP - Comprehensive security guidelines.
• Data Isolation Strategies for Local LLMs - Technical privacy protection methods.

Industry & Research

Performance Analysis & Benchmarking

• Local LLM Performance Study 2025 by MLCommons - Industry-standard benchmarking results.
• Token Generation Speed Analysis Across Hardware - Comprehensive performance comparison.
• Energy Efficiency in Local LLM Deployment - Environmental impact and optimization.

Market Analysis & Trends

• The State of Open Source LLMs 2025 - Annual review of model releases and capabilities.
• Enterprise Adoption of Local LLMs - Business case studies and implementation patterns.
• Regulatory Landscape for Local AI Deployment - Legal and compliance considerations.

Infrastructure & Scaling

Server & Networking

• How to Set Up and Use a Windows NAS for LLM Storage - Network storage solutions for model management.
• Linux Server Optimization for LLM Workloads - Performance tuning for Linux-based deployments.
• Multi-GPU Setup for Local LLM Inference - Scaling across multiple GPUs.

Monitoring & Management

• Monitoring Local LLM Performance with Prometheus - Production monitoring strategies.
• Log Analysis for LLM Debugging - Troubleshooting and optimization through logging.
• Automated Model Management Workflows - MLOps practices for local LLMs.

Article collection last updated: July 2025. Links verified for accessibility and relevance.