Hongyu Wang

Hongyu Wang on Hugging Face Daily Papers: 8 papers, 5 in the top 3 of their day, 996 upvotes.

1. MoTE: Mixture of Ternary Experts for Memory-efficient Large Multimodal Models 8 upvotes, #12 of 2025-06-19
2. BitVLA: 1-bit Vision-Language-Action Models for Robotics Manipulation 18 upvotes, #10 of 2025-06-10
3. BitNet v2: Native 4-bit Activations with Hadamard Transformation for 1-bit LLMs 41 upvotes, #3 of 2025-04-28
4. BitNet b1.58 2B4T Technical Report 66 upvotes, #1 of 2025-04-17
5. BitNet a4.8: 4-bit Activations for 1-bit LLMs 61 upvotes, #3 of 2024-11-08
6. Q-Sparse: All Large Language Models can be Fully Sparsely-Activated 16 upvotes, #5 of 2024-07-16
7. The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits 630 upvotes, #1 of 2024-02-28
8. BitNet: Scaling 1-bit Transformers for Large Language Models 108 upvotes, #1 of 2023-10-18

Data: hysts-bot-data/daily-papers-stats and the Daily Papers API. Open data: tardellirs/paper-pulse-data. Sister project: Model Pulse, the download history of every model on the Hub.