Quantization for Llama: GPTQ, AWQ, and GGUF Trade-offs (ANSWERED)
**GPTQ/AWQ** GPU inference friendly; integrate with vLLM/TGI depending on support.
TL;DR — Quick Answer
GPTQ/AWQ 4-bit for GPU serving with good accuracy; GGUF for CPU/edge and llama.cpp; always eval perplexity and task accuracy post-quant; watch out for unsupported ops on target hardware.
The Interview Question
Explain GPTQ, AWQ, and GGUF quantization formats and how to pick for edge vs datacenter Llama deployment.
Deep Explanation
GPTQ/AWQ GPU inference friendly; integrate with vLLM/TGI depending on support.
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