Which .GGUF Should You Download? (Hugging Face Quantization Guide)

Next Tech and AI · Beginner ·🧠 Large Language Models ·5mo ago
Stop guessing model files on Hugging Face. This video shows you which file to download for your stack—fast. We keep it practical: GGUF first (Ollama / LM Studio / llama.cpp), short side-aisles for GPTQ / AWQ / EXL2, a clear memory ladder (Q8/Q6/Q5/Q4), and when QAT (Gemma-3) gives 4-bit with bf16-like behavior—without installs or hardware detours. Perfect for users running local LLMs on Ollama, LM Studio, or llama.cpp who need to choose between Q4, Q5, Q6, Q8 quantizations. What you’ll learn → Formats by stack: GGUF vs GPTQ vs AWQ vs EXL2—which one belongs to your runtime → The Memory Ladder:…
Watch on YouTube ↗ (saves to browser)

Chapters (5)

Which Model File Should You Download?
0:20 Understanding Model Quantization
1:06 Format Guide: GGUF, GPTQ, AWQ, QAT
2:25 The Memory Ladder: Q8 to Q3
5:06 Reading the HuggingFace Files Tab
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