EnnengYang / AdaMergingLinks
AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
☆92Updated last year
Alternatives and similar repositories for AdaMerging
Users that are interested in AdaMerging are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆69Updated 7 months ago
- Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]☆51Updated last year
- Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"☆22Updated last year
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆46Updated last year
- Code for paper "Merging Multi-Task Models via Weight-Ensembling Mixture of Experts"☆29Updated last year
- Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic☆30Updated last month
- A curated list of Model Merging methods.☆92Updated last year
- [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"☆37Updated 3 months ago
- LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning☆35Updated last year
- Implementaiton of "DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation" (accepted by NAACL2024 Findings)".☆24Updated 8 months ago
- official code repo for paper "Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging"☆20Updated 2 weeks ago
- FusionBench: A Comprehensive Benchmark/Toolkit of Deep Model Fusion☆174Updated this week
- ☆41Updated 2 years ago
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆105Updated 2 years ago
- [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models☆83Updated last year
- [ICML 2024 Oral] Official code repository for MLLM-as-a-Judge.☆86Updated 8 months ago
- Awesome-Low-Rank-Adaptation☆116Updated last year
- ☆77Updated 3 years ago
- ☆129Updated 7 months ago
- ☆194Updated last year
- Task Singular Vectors: Reducing Task Interference in Model Merging. Merge models avoiding task interference through separable models.☆33Updated 2 months ago
- ☆11Updated 2 months ago
- Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning☆35Updated 11 months ago
- Awesome Low-Rank Adaptation☆50Updated 2 months ago
- A Sober Look at Language Model Reasoning☆86Updated 2 weeks ago
- State-of-the-art Parameter-Efficient MoE Fine-tuning Method☆192Updated last year
- Official Pytorch Implementation of "Outlier-weighed Layerwise Sampling for LLM Fine-tuning" by Pengxiang Li, Lu Yin, Xiaowei Gao, Shiwei …☆34Updated 4 months ago
- Official code for SEAL: Steerable Reasoning Calibration of Large Language Models for Free☆44Updated 6 months ago
- [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning☆227Updated 10 months ago
- CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for task-aware parameter-efficient fine-tuning(NeurIPS 2024)☆52Updated 9 months ago