ycjing / Awesome-Model-Merging
A curated list of Model Merging methods.
☆83Updated 2 months ago
Related projects ⓘ
Alternatives and complementary repositories for Awesome-Model-Merging
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆53Updated 3 weeks ago
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆31Updated 3 weeks ago
- [EMNLP 2023 Main] Sparse Low-rank Adaptation of Pre-trained Language Models☆69Updated 8 months ago
- Code accompanying the paper "Massive Activations in Large Language Models"☆123Updated 8 months ago
- [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning☆74Updated this week
- Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]☆35Updated 3 weeks ago
- ☆58Updated 3 months ago
- Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.☆217Updated this week
- ☆151Updated 9 months ago
- [ICLR 2024 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"☆64Updated 5 months ago
- Awesome-Low-Rank-Adaptation☆38Updated last month
- ☆76Updated 4 months ago
- [NeurIPS2024] Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging☆36Updated this week
- ☆146Updated last month
- ☆36Updated 3 months ago
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆87Updated last year
- ☆116Updated 3 months ago
- Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"☆14Updated 2 months ago
- Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "☆74Updated 3 weeks ago
- source code of (quasi-)Givens Orthogonal Fine Tuning integrated to peft lib☆13Updated 2 months ago
- ☆131Updated 2 months ago
- [ATTRIB @ NeurIPS 2024] When Attention Sink Emerges in Language Models: An Empirical View☆29Updated last month
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆59Updated 7 months ago
- ☆27Updated last year
- [ICML 2024] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".☆73Updated 4 months ago
- Implementation of the paper: "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆71Updated this week
- State-of-the-art Parameter-Efficient MoE Fine-tuning Method☆92Updated 2 months ago
- [ICML2024 Spotlight] Fine-Tuning Pre-trained Large Language Models Sparsely☆17Updated 4 months ago
- ☆31Updated last year
- [ICML 2024] Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibrati…☆25Updated 4 months ago