BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts Paper • 2408.08274 • Published Aug 15 • 11
DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search Paper • 2408.08152 • Published Aug 15 • 51
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models Paper • 2408.08872 • Published Aug 16 • 97
LongVILA: Scaling Long-Context Visual Language Models for Long Videos Paper • 2408.10188 • Published Aug 19 • 51
MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models Paper • 2408.02718 • Published Aug 5 • 60
Enabling High-Sparsity Foundational Llama Models with Efficient Pretraining and Deployment Paper • 2405.03594 • Published May 6 • 7
DBRX Collection DBRX is a mixture-of-experts (MoE) large language model trained from scratch by Databricks. • 3 items • Updated Mar 27 • 91
Sparse Foundational Llama 2 Models Collection Sparse pre-trained and fine-tuned Llama models made by Neural Magic + Cerebras • 27 items • Updated Sep 26 • 8
Cerebras LLaVA Collection Cerebras implementation and training recipes related to multimodal LLaVA models • 4 items • Updated Aug 21 • 1