naver-hyperclovax/HyperCLOVAX-SEED-Think-32B Text Generation • 33B • Updated 28 days ago • 9.92k • 394
naver-hyperclovax/HyperCLOVAX-SEED-Think-32B Text Generation • 33B • Updated 28 days ago • 9.92k • 394
naver-hyperclovax/HyperCLOVAX-SEED-Think-32B Text Generation • 33B • Updated 28 days ago • 9.92k • 394
HyperCLOVA X SEED Collection HyperCLOVA X SEED is NAVER's lightweight open-source lineup with a strong focus on Korean language performance • 6 items • Updated Dec 24, 2025 • 41
naver-hyperclovax/HyperCLOVAX-SEED-Vision-Instruct-3B Text Generation • 4B • Updated Sep 16, 2025 • 81.3k • 220
naver-hyperclovax/HyperCLOVAX-SEED-Text-Instruct-0.5B Text Generation • 0.6B • Updated Jul 21, 2025 • 2.7k • 80
Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models Paper • 2309.15531 • Published Sep 27, 2023 • 1
Peri-LN: Revisiting Layer Normalization in the Transformer Architecture Paper • 2502.02732 • Published Feb 4, 2025 • 2
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models Paper • 2210.03858 • Published Oct 8, 2022
LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models Paper • 2206.09557 • Published Jun 20, 2022
naver-hyperclovax/HyperCLOVAX-SEED-Text-Instruct-1.5B Text Generation • 2B • Updated Oct 2, 2025 • 2.82k • 154
Peri-LN: Revisiting Layer Normalization in the Transformer Architecture Paper • 2502.02732 • Published Feb 4, 2025 • 2