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awq-quantization

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A from-scratch implementation of Llama-3.2-1B in PyTorch, decode-latency benchmarks on three GPUs (T4, L4, A100), three weight-only quantization methods (RTN, GPTQ, AWQ) measured against both, and a packed int4 format with a fused Triton GEMV so the quantized weights are actually 4 bits in HBM.

  • Updated Sep 3, 2026
  • Jupyter Notebook

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