An Asymmetric Hybrid Q4KM (Q80 / Q6K / Q4KM) GGUF quantization of tencent/Hy-Memory-30B-A3B, calibrated with an importance matrix (imatrix) and tuned specifically for single 24 GB GPUs (RTX 3090 / RTX 4090) as well as zero-VRAM CPU sidecar deployments. Hy-Memory-30B-A3B (HYV3ForCausalLM / hyv3 architecture) is a sparse Mixture-of-Experts memory writer model with 30.66B total parameters and ~3.0B active parameters per token (39 MoE layers, 128 routed experts, top-8 routing + 1 shared expert, and 8:1 GQA). Because 94.5% of the model's parameters (28.97B) live inside the 128 sparse routed experts while only 5.5% (1.69B) make up the always-active backbone, uniform quantization leaves massive…
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