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| 🏆 First PTQ for VLA | 💾 ~70% Memory Savings | ⚡ Training-Free | 🚀 1.22× Speedup |
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| First post-training quantization framework for Vision-Language-Action systems | Significant memory reduction on quantized components | Uses only a small unlabeled calibration buffer — no retraining needed | End-to-end inference latency improvement |
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