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Energy-Aware Computing Lab @ UT ECE

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https://enyac.org/
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AI & ML interests

Energy-aware Computing, Low Power Design, EDA, Dark Silicon, Efficient Deep Learning

Papers

UniQL: Unified Quantization and Low-rank Compression for Adaptive Edge LLMs

Quamba2: A Robust and Scalable Post-training Quantization Framework for Selective State Space Models

View all Papers

Hung-Yueh Chiang's profile pictureDimitrios Stamoulis's profile picture

ut-enyac 's models 43

ut-enyac/quamba2-2.7b-w4a16

Updated Apr 3, 2025 • 8

ut-enyac/quamba2-1.3b-w8a8

Updated Apr 3, 2025 • 1

ut-enyac/quamba2-1.3b-w4a8

Updated Apr 3, 2025 • 2

ut-enyac/quamba2-1.3b-w4a16

Updated Apr 3, 2025

ut-enyac/quamba-1.4b-w8a8

Updated Apr 3, 2025

ut-enyac/quamba-1.4b-w4a8

Updated Apr 3, 2025 • 1

ut-enyac/quamba-1.4b-w4a16

Updated Apr 3, 2025

ut-enyac/quamba-130m-w8a8

Updated Apr 3, 2025

ut-enyac/quamba-130m-w4a8

Updated Apr 3, 2025 • 1

ut-enyac/quamba-130m-w4a16

Updated Apr 3, 2025 • 1

ut-enyac/quamba2-130m-w8a8

Updated Apr 3, 2025 • 48

ut-enyac/quamba2-130m-w4a16

Updated Apr 3, 2025 • 8

ut-enyac/quamba2-130m-w4a8

Updated Apr 3, 2025 • 13 • 1
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