AI가 움직이고 미래가 업데이트됩니다.Hy-Memory-30B-A3B-GGUF
Community GGUF quantizations of Tencent Hy-Memory-30B-A3B, a 30B-parameter MoE memory-writing model with approximately 3B active parameters. Original model by **Tencent Hunyuan**; conversion and quantization by **rapatsky**. No additional training was performed. **The conversion corrects an expert-width mismatch in the pinned publisher configuration before conversion.** See the reproducibility section below. Each GGUF is a complete, independent model. Download only the quantization you need. The four standard quantizations hosted in this repository use no importance matrix; their router weights and expert-selection biases remain F32. K_M presets use mixed tensor precision, so the labels are not uniform bit widths. The recommended IQ4_XS model is hosted separately and uses RU/EN calibration and a custom tensor allocation, detailed in its model card.
번역 준비 중입니다. 원문을 표시합니다.
Community GGUF quantizations of Tencent Hy-Memory-30B-A3B, a 30B-parameter MoE memory-writing model with approximately 3B active parameters. Original model by **Tencent Hunyuan**; conversion and quantization by **rapatsky**. No additional training was performed. **The conversion corrects an expert-width mismatch in the pinned publisher configuration before conversion.** See the reproducibility section below. Each GGUF is a complete, independent model. Download only the quantization you need. The four standard quantizations hosted in this repository use no importance matrix; their router weights and expert-selection biases remain F32. K_M presets use mixed tensor precision, so the labels are not uniform bit widths. The recommended IQ4_XS model is hosted separately and uses RU/EN calibration and a custom tensor allocation, detailed in its model card.