Quantization
Best 8GB GPU Model: How to Set Up Qwen 3.5 9B (Step by Step)
Qwen 3.5 9B fits in 6.6GB and beats models 3x its size. Complete setup with Ollama, benchmarks, and real-world testing on RTX 3060 and 4060.
Best Qwen 3.5 Models Ranked: Every Size, Every GPU, Every Quant
Complete ranking of all Qwen 3.5 models from 0.8B to 397B. VRAM requirements, speed benchmarks, and which model to pick for your hardware.
Running 70B Models Locally — Exact VRAM by Quantization
Llama 3.3 70B needs 43GB at Q4, 75GB at Q8, 141GB at FP16. Here's every quant level, which GPUs fit, real speeds, and when 32B is the smarter choice.
Mixtral 8x7B & 8x22B VRAM Requirements
Mixtral 8x7B and 8x22B VRAM requirements at every quantization level. Exact numbers from Q2 to FP16, GPU recommendations, and KV cache impact explained.
Model Formats Explained: GGUF vs GPTQ vs AWQ vs EXL2
GGUF vs GPTQ vs AWQ vs EXL2 model formats explained. Learn what each format does, which tools support them, and how to choose the right one for your GPU.
Quantization Explained: What It Means for Local AI
Q4_K_M shrinks a 7B model from 14GB to ~4GB while keeping 90-95% quality. What every quantization format means, how much VRAM each saves, and which to pick for your GPU.
Best VRAM Cheat Sheet for Local LLMs: Every Model, Every Quant
Exact VRAM for Qwen 3.5, Llama, Mistral, and DeepSeek at Q3 through FP16. Lookup tables for 7B, 9B, 13B, 27B, 32B, 70B, and 120B models with real measurements and GPU recommendations. Updated March 2026.