1bit-Merging: Dynamic Quantized Merging for Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Shuqi, Yao, Yuxuan, He, Bowei, Liu, Zehua, Han, Xiongwei, Yuan, Mingxuan, Wu, Han, Song, Linqi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Sens-Merging: Sensitivity-Guided Parameter Balancing for Merging Large Language Models
by: Liu, Shuqi, et al.
Published: (2025)
by: Liu, Shuqi, et al.
Published: (2025)
Activation-Guided Consensus Merging for Large Language Models
by: Yao, Yuxuan, et al.
Published: (2025)
by: Yao, Yuxuan, et al.
Published: (2025)
LoRE-Merging: Exploring Low-Rank Estimation For Large Language Model Merging
by: Liu, Zehua, et al.
Published: (2025)
by: Liu, Zehua, et al.
Published: (2025)
Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging
by: Wu, Han, et al.
Published: (2025)
by: Wu, Han, et al.
Published: (2025)
Beyond One-Size-Fits-All Pruning via Evolutionary Metric Search for Large Language Models
by: Liu, Shuqi, et al.
Published: (2025)
by: Liu, Shuqi, et al.
Published: (2025)
Bi-Chainer: Automated Large Language Models Reasoning with Bidirectional Chaining
by: Liu, Shuqi, et al.
Published: (2024)
by: Liu, Shuqi, et al.
Published: (2024)
Reasoning in Action: MCTS-Driven Knowledge Retrieval for Large Language Models
by: Liu, Shuqi, et al.
Published: (2025)
by: Liu, Shuqi, et al.
Published: (2025)
Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling
by: Yao, Yuxuan, et al.
Published: (2024)
by: Yao, Yuxuan, et al.
Published: (2024)
Merging Beyond: Streaming LLM Updates via Activation-Guided Rotations
by: Yao, Yuxuan, et al.
Published: (2026)
by: Yao, Yuxuan, et al.
Published: (2026)
MoLAE: Mixture of Latent Experts for Parameter-Efficient Language Models
by: Liu, Zehua, et al.
Published: (2025)
by: Liu, Zehua, et al.
Published: (2025)
ARS: Automatic Routing Solver with Large Language Models
by: Li, Kai, et al.
Published: (2025)
by: Li, Kai, et al.
Published: (2025)
Model Merging in Pre-training of Large Language Models
by: Li, Yunshui, et al.
Published: (2025)
by: Li, Yunshui, et al.
Published: (2025)
Preserving LLM Capabilities through Calibration Data Curation: From Analysis to Optimization
by: He, Bowei, et al.
Published: (2025)
by: He, Bowei, et al.
Published: (2025)
Fine-grained Conversational Decoding via Isotropic and Proximal Search
by: Yao, Yuxuan, et al.
Published: (2023)
by: Yao, Yuxuan, et al.
Published: (2023)
Towards Improving Interpretability of Language Model Generation through a Structured Knowledge Discovery Approach
by: Liu, Shuqi, et al.
Published: (2025)
by: Liu, Shuqi, et al.
Published: (2025)
Transport and Merge: Cross-Architecture Merging for Large Language Models
by: Cui, Chenhang, et al.
Published: (2026)
by: Cui, Chenhang, et al.
Published: (2026)
E-PMQ: Expert-Guided Post-Merge Quantization with Merged-Weight Anchoring
by: Wang, Wenjun, et al.
Published: (2026)
by: Wang, Wenjun, et al.
Published: (2026)
Have You Merged My Model? On The Robustness of Large Language Model IP Protection Methods Against Model Merging
by: Cong, Tianshuo, et al.
Published: (2024)
by: Cong, Tianshuo, et al.
Published: (2024)
REG: A Regularization Optimizer for Robust Training Dynamics
by: Liu, Zehua, et al.
Published: (2025)
by: Liu, Zehua, et al.
Published: (2025)
ACE-Merging: Data-Free Model Merging with Adaptive Covariance Estimation
by: Xu, Bo, et al.
Published: (2026)
by: Xu, Bo, et al.
Published: (2026)
Model Merging in the Era of Large Language Models: Methods, Applications, and Future Directions
by: Song, Mingyang, et al.
Published: (2026)
by: Song, Mingyang, et al.
Published: (2026)
Arcee's MergeKit: A Toolkit for Merging Large Language Models
by: Goddard, Charles, et al.
Published: (2024)
by: Goddard, Charles, et al.
Published: (2024)
WeightedKV: Attention Scores Weighted Key-Value Cache Merging for Large Language Models
by: Yuan, Jian, et al.
Published: (2025)
by: Yuan, Jian, et al.
Published: (2025)
Dynamic Fisher-weighted Model Merging via Bayesian Optimization
by: Lee, Sanwoo, et al.
Published: (2025)
by: Lee, Sanwoo, et al.
Published: (2025)
K-Merge: Online Continual Merging of Adapters for On-device Large Language Models
by: Shenaj, Donald, et al.
Published: (2025)
by: Shenaj, Donald, et al.
Published: (2025)
Exploring Model Kinship for Merging Large Language Models
by: Hu, Yedi, et al.
Published: (2024)
by: Hu, Yedi, et al.
Published: (2024)
Activation-Informed Merging of Large Language Models
by: Nobari, Amin Heyrani, et al.
Published: (2025)
by: Nobari, Amin Heyrani, et al.
Published: (2025)
MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic
by: Zhou, Yuyan, et al.
Published: (2024)
by: Zhou, Yuyan, et al.
Published: (2024)
PASER: Post-Training Data Selection for Efficient Pruned Large Language Model Recovery
by: He, Bowei, et al.
Published: (2025)
by: He, Bowei, et al.
Published: (2025)
Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging
by: Morrison, Jacob, et al.
Published: (2024)
by: Morrison, Jacob, et al.
Published: (2024)
SE-Merging: A Self-Enhanced Approach for Dynamic Model Merging
by: Chen, Zijun, et al.
Published: (2025)
by: Chen, Zijun, et al.
Published: (2025)
Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging
by: Yang, Jinluan, et al.
Published: (2025)
by: Yang, Jinluan, et al.
Published: (2025)
AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging
by: Zhao, Yiran, et al.
Published: (2024)
by: Zhao, Yiran, et al.
Published: (2024)
Mixup Model Merge: Enhancing Model Merging Performance through Randomized Linear Interpolation
by: Zhou, Yue, et al.
Published: (2025)
by: Zhou, Yue, et al.
Published: (2025)
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging
by: Lu, Zhenyi, et al.
Published: (2024)
by: Lu, Zhenyi, et al.
Published: (2024)
OneBit: Towards Extremely Low-bit Large Language Models
by: Xu, Yuzhuang, et al.
Published: (2024)
by: Xu, Yuzhuang, et al.
Published: (2024)
InfoMerge: Information-aware Token Compression for Efficient Video Large Language Models
by: Liu, Xinxin, et al.
Published: (2026)
by: Liu, Xinxin, et al.
Published: (2026)
EvoMerge: Neuroevolution for Large Language Models
by: Jiang, Yushu
Published: (2024)
by: Jiang, Yushu
Published: (2024)
Personality Vector: Modulating Personality of Large Language Models by Model Merging
by: Sun, Seungjong, et al.
Published: (2025)
by: Sun, Seungjong, et al.
Published: (2025)
Large Language Models are Good Multi-lingual Learners : When LLMs Meet Cross-lingual Prompts
by: Wang, Teng, et al.
Published: (2024)
by: Wang, Teng, et al.
Published: (2024)
Similar Items
-
Sens-Merging: Sensitivity-Guided Parameter Balancing for Merging Large Language Models
by: Liu, Shuqi, et al.
Published: (2025) -
Activation-Guided Consensus Merging for Large Language Models
by: Yao, Yuxuan, et al.
Published: (2025) -
LoRE-Merging: Exploring Low-Rank Estimation For Large Language Model Merging
by: Liu, Zehua, et al.
Published: (2025) -
Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging
by: Wu, Han, et al.
Published: (2025) -
Beyond One-Size-Fits-All Pruning via Evolutionary Metric Search for Large Language Models
by: Liu, Shuqi, et al.
Published: (2025)