Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
Another calibration-free option in the 2-bit KV space: we built an E8 lattice VQ method (NexusQuant) that is calibration-free with Hadamard rotation. On Llama-3.1-8B-Instruct 4K (n=30 NIAH) our K2V2 ...
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