REAL-Q: E2E LLM quantization via dynamic gradient descent
Read the original at arxiv.org→arXiv:2609.00049v1 Announce Type: new Abstract: Post-training quantization (PTQ) is essential for deploying large language models (LLMs) under strict resource constraints. State-of-the-art PTQ methods quantize each...
Original headline: "REAL-Q: E2E LLM Quantization via Dynamic Gradient Descent"
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- Sep 2, 04:00 UTC arXiv cs.LG lead source REAL-Q: E2E LLM Quantization via Dynamic Gradient Descent