GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers (Frantar et al.)
paper
Fields
id
sources/qlab-gptq-paperPublisher
arXiv
Kind
paper
Published
2022-10-31
Accessed
2026-10-03
notes
v2. Read for the explicit 2-bit and ternary extreme-regime claim and the '175B in ~4 GPU-hours' figure.
Notes
v2. Read for the explicit 2-bit and ternary extreme-regime claim and the '175B in ~4 GPU-hours' figure.
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