Papers SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights Paper • 2509.22944 • Published Sep 26 • 79
SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights Paper • 2509.22944 • Published Sep 26 • 79
Small Activation Models inclusionAI/Ring-mini-2.0 Text Generation • 16B • Updated Oct 23 • 154 • 179 ibm-granite/granite-docling-258M Image-Text-to-Text • 0.3B • Updated Sep 23 • 198k • 1.06k
Papers SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights Paper • 2509.22944 • Published Sep 26 • 79
SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights Paper • 2509.22944 • Published Sep 26 • 79
Small Activation Models inclusionAI/Ring-mini-2.0 Text Generation • 16B • Updated Oct 23 • 154 • 179 ibm-granite/granite-docling-258M Image-Text-to-Text • 0.3B • Updated Sep 23 • 198k • 1.06k
