📚 GGUF Loader Blog

Latest news, tutorials, and insights about local AI deployment

100+
GGUF Models Available
v3
Latest GGUF Format
128K
Max Context Length
75%
Size Reduction via Quantization

📖 Published Articles (6 Guides)

🚀 Coming Soon

Understanding GGUF Format and Quantization in 2025

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.

Topics:

GGUF v3 Format Dynamic Quantization llama.cpp Memory Optimization

Privacy-First AI: Why Local Processing Matters in 2025

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.

Key Benefits:

Complete Data Privacy No Cloud Dependencies Regulatory Compliance Cost Efficiency

Best Open Source LLMs for Local Deployment in 2025

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.

2025 Models:

Llama 4 (10M ctx) DeepSeek V3.1 Qwen 2.5 Mistral Large 2 Llama 3.3 70B

Running DeepSeek V3 Locally with GGUF

Run DeepSeek V3 (671B params) locally using Unsloth Dynamic 2.0 GGUFs. Quantization reduces 720GB to 185GB (75% reduction) with near-perfect accuracy.

Optimizing Performance on Limited Hardware

Run AI efficiently on limited RAM. Learn about SLMs, optimal quantization, and maximizing performance without sacrificing quality.

Hardware Guide:

4GB → 3B models 8GB → 7B models 16GB → 13B models 32GB+ → 70B models