What is GGUF? Complete Guide to GGUF Format
Everything you need to know about GGUF format - what it is, quantization types (Q4_K_M, Q5_K_M, Q6_K), memory requirements, and why it's the standard for local AI.
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Everything you need to know about GGUF format - what it is, quantization types (Q4_K_M, Q5_K_M, Q6_K), memory requirements, and why it's the standard for local AI.
Complete beginner's guide to running AI models locally. No Python or command line required. Works on Windows, Mac, and Linux.
Calculate RAM requirements for GGUF models. Detailed memory usage for Mistral 7B, Llama, Qwen with Q4_K_M, Q5_K_M quantization.
Direct download links to popular GGUF models. Find Mistral, Llama, Qwen, DeepSeek models on HuggingFace from TheBloke, bartowski, and official sources.
Learn how to create custom addons for GGUF Loader 2.0.0. Covers addon architecture, creating your first addon, advanced features, best practices, and distribution.
Curated list of the best GGUF models for Intel i5 + 16GB RAM. Includes benchmarks, quantization recommendations (Q4_K_M, Q5_K_M), and real-world use cases.
Deep dive into GGUF v3 format by Georgi Gerganov and llama.cpp. Learn about Unsloth's Dynamic 2.0 GGUFs achieving 75% size reduction. Compare Q2_K through Q8_0 quantization levels.
AI incidents jumped 56.4% in 2024 (Stanford AI Index). Learn why 90% of organizations prefer local storage and how enterprises adopt private AI for healthcare, legal, and business.
Compare latest GGUF models: Llama 4 (10M context), DeepSeek V3 671B (quantized to 185GB), Qwen 2.5, and more. Find the best model for your hardware.
Run DeepSeek V3 (671B params) locally using Unsloth Dynamic 2.0 GGUFs. Quantization reduces 720GB to 185GB (75% reduction) with near-perfect accuracy.
Run AI efficiently on limited RAM. Learn about SLMs, optimal quantization, and maximizing performance without sacrificing quality.