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Gated Recurrent Transformer (GRT) Collection Pre-trained checkpoints for the Gated Recurrent Transformer (GRT). arXiv:2608.15062 • 5 items • Updated 27 days ago • 2
Unlocking Lossless Speedups in LLMs via Discrete Diffusion Paper • 2609.04010 • Published 26 days ago • 114
Don't Drop Dropout: Optimizing Layer Sparsity for Efficient LLM Training and Inference Paper • 2609.05275 • Published 25 days ago • 26
Don't Drop Dropout: Optimizing Layer Sparsity for Efficient LLM Training and Inference Paper • 2609.05275 • Published 25 days ago • 26
Unlocking Lossless Speedups in LLMs via Discrete Diffusion Paper • 2609.04010 • Published 26 days ago • 114
Don't Drop Dropout: Optimizing Layer Sparsity for Efficient LLM Training and Inference Paper • 2609.05275 • Published 25 days ago • 26 • 2
Calibrating Beyond English: Language Diversity for Better Quantized Multilingual LLM Paper • 2601.18306 • Published Jan 26
Gated Recurrent Transformers: Expressive Depth through Recurrent Modulation Paper • 2608.15062 • Published Aug 26 • 12
melhoushi/Moonlight-16B-A3B-Instruct-transformers-5.13.0 Text Generation • 16B • Updated Jul 15 • 22
melhoushi/Moonlight-16B-A3B-Instruct-transformers-5.13.0 Text Generation • 16B • Updated Jul 15 • 22