REAL-Q: How Dynamic Gradient Descent Fixes the Core Flaw in LLM Quantization
REAL-Q: How Dynamic Gradient Descent Fixes the Core Flaw in LLM Quantization Post-training quantization (PTQ) is one of the most practical tools in the LLM deployment toolkit. Compress a 70B model to 4-bit weights and you can run it on hardware that would otherwise require a cluster. The dominant m…
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- 2026-09-30 16:05 · DEV Community — Machine Learning
REAL-Q: How Dynamic Gradient Descent Fixes the Core Flaw in LLM Quantization