Section
llama.cpp
The latest llama.cpp coverage from Bullquill: sourced, dated and explained.
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LLM quantization explained: 70B model from 141 GB to 43 GB
Quantization is how a 70-billion-parameter model fits on one workstation. Here is what it does to the weights, how much memory each GGUF level needs, what the perplexity tests show and how to choose a quant in Ollama or llama.cpp.
