Your definitive resource for running AI models on your own hardware.Learn, explore, and implement with complete privacy and control.
Discover the revolutionary advantages of running Large Language Models on your own hardware
Keep your data completely private. No cloud dependencies, no data sharing, complete control over your AI interactions.
No subscription fees or per-token charges. One-time hardware investment for unlimited AI usage.
Customize models, fine-tune for your needs, and experiment freely without limitations or restrictions.
Calculate requirements, compare models, and make informed decisions with our interactive tools
Calculate memory requirements
Determine exactly how much VRAM you need for different model sizes and configurations. Get precise calculations for optimal performance.
Compare performance metrics
Compare different LLM models side-by-side. Analyze performance, memory usage, and capabilities to find the perfect model for your needs.
Stay ahead with cutting-edge guides, tutorials, and insights about Local LLMs
Get instant answers to the most common questions about Local LLMs
A Local Large Language Model (LLM) is an AI model that runs entirely on your own hardware, providing privacy, cost savings, and complete control over your AI interactions without relying on cloud services.
For 7B parameter models, you need at least 8GB RAM (16GB recommended). For 13B models, 16-32GB RAM is required. Larger 70B+ models need 64GB+ RAM or dedicated GPUs with sufficient VRAM.
Popular beginner-friendly models include Llama 2 7B, Mistral 7B, and Phi-3 Mini. These offer good performance while being manageable on consumer hardware.
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