✨SQ-format: A Unified Sparse-Quantized Hardware-friendly Data Format for LLMs
📝 Summary:
The SQ-format is a unified sparse-quantized data format for LLM post-training quantization. It improves accuracy and efficiency balance by combining sparse and low-precision matrix multiplications. This enables better performance and throughput, especially for outlier activations, supporting next...
🔹 Publication Date: Published on Dec 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.05409
• PDF: https://arxiv.org/pdf/2512.05409
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For more data science resources:
✓ https://t.me/DataScienceT
#LLMs #Quantization #SparseML #HardwareAcceleration #AIResearch
📝 Summary:
The SQ-format is a unified sparse-quantized data format for LLM post-training quantization. It improves accuracy and efficiency balance by combining sparse and low-precision matrix multiplications. This enables better performance and throughput, especially for outlier activations, supporting next...
🔹 Publication Date: Published on Dec 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.05409
• PDF: https://arxiv.org/pdf/2512.05409
==================================
For more data science resources:
✓ https://t.me/DataScienceT
#LLMs #Quantization #SparseML #HardwareAcceleration #AIResearch
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