Papers SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights Paper • 2509.22944 • Published Sep 26, 2025 • 80
SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights Paper • 2509.22944 • Published Sep 26, 2025 • 80
Small Activation Models inclusionAI/Ring-mini-2.0 Text Generation • 16B • Updated Oct 23, 2025 • 1.23k • 179 ibm-granite/granite-docling-258M Image-Text-to-Text • Updated Sep 23, 2025 • 184k • 1.13k OpenVINO/Qwen3-1.7B-int4-ov Updated Apr 30, 2025 • 216 tencent/Youtu-LLM-2B Text Generation • 2B • Updated 2 days ago • 1.3k • 228
Papers SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights Paper • 2509.22944 • Published Sep 26, 2025 • 80
SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights Paper • 2509.22944 • Published Sep 26, 2025 • 80
Small Activation Models inclusionAI/Ring-mini-2.0 Text Generation • 16B • Updated Oct 23, 2025 • 1.23k • 179 ibm-granite/granite-docling-258M Image-Text-to-Text • Updated Sep 23, 2025 • 184k • 1.13k OpenVINO/Qwen3-1.7B-int4-ov Updated Apr 30, 2025 • 216 tencent/Youtu-LLM-2B Text Generation • 2B • Updated 2 days ago • 1.3k • 228
