Local LLMs & AI Resources

Run AI models locally for privacy, cost savings, and offline capability. No API keys or usage limits.

Why Run Local LLMs?

• ✅ Privacy – Data never leaves your machine
• ✅ Cost – No per-token fees after hardware investment
• ✅ Offline – Works without internet
• ✅ Customization – Fine-tune for specific use cases
• ✅ No Rate Limits – Run as many requests as hardware allows

Hardware Requirements

Model Size	Minimum RAM	Recommended GPU	Use Case
7B	8GB	GTX 1660 (6GB)	Chat, simple tasks
13B	16GB	RTX 3060 (12GB)	Coding, analysis
30B+	32GB+	RTX 4090 (24GB)	Complex reasoning
70B	64GB+	Dual GPU / Mac M2	Production workloads

Tools & Platforms

Text-Generation-WebUI

git clone https://github.com/oobabooga/text-generation-webui

cd text-generation-webui

pip install -r requirements.txt

python server.py

• Most popular local LLM interface
• Supports multiple model formats (GGUF, GPTQ, AWQ)
• Web-based UI with extensions

LM Studio

User-friendly desktop app One-click model downloads Built-in chat interface API server for integrations

Ollama

curl -fsSL https://ollama.com/install.sh | sh

ollama run llama3.2

• Simple CLI interface
• Easy model management Great for development integration