Master GGUF, AWQ, GPTQ, and EXL2 — choose the right quantization for your hardware and use case. Part of the free Open Source AI Academy — every lesson below is open to everyone, no signup required.
Why Quantize? A 70B parameter model in FP16 requires ~140GB VRAM . Quantization reduces precision to fit models on smaller hardware while preserving q...
From Hugging Face to Quantized Model Understanding quantization theory is one thing — actually converting models is another. This lesson walks through...