Announcements#
Release notes, technical updates, examples, and deployment stories from the Model Optimizer team.
Quantizing a 1.5 TB Kimi-K3 Model on a Single GPU
Layerwise calibration and per-layer shard export drop the memory floor for PTQ from one model to one layer.
AutoQuantize: A Fast Automatic Mixed-Precision Assignment
AutoQuantize finds low-sensitivity mixed-precision assignments with gradient-based scoring under a modeled effective-bits budget.
Model Optimizer announcements are moving to GitHub Pages
The GitHub Pages site now starts with announcements while the existing API documentation remains available in the docs navigation.
DSpark vs Domino: Same DFlash Backbone, Different Correction Heads
DSpark and Domino share a DFlash backbone but make different correction-head tradeoffs: ModelOpt's vanilla Markov head versus a GRU.
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