tanganke / petaLinks
Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"
☆21Updated last year
Alternatives and similar repositories for peta
Users that are interested in peta are comparing it to the libraries listed below
Sorting:
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆46Updated 11 months ago
- Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]☆49Updated 10 months ago
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆89Updated 10 months ago
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆69Updated 6 months ago
- ☆11Updated last month
- ☆17Updated 7 months ago
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆104Updated 2 years ago
- A curated list of Model Merging methods.☆92Updated last year
- Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic☆29Updated 8 months ago
- Github repo for NeurIPS 2024 paper "Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models"☆20Updated last week
- ☆74Updated 3 years ago
- [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models☆83Updated last year
- Code for paper "Merging Multi-Task Models via Weight-Ensembling Mixture of Experts"☆29Updated last year
- ☆15Updated last year
- ☆28Updated last year
- Task Singular Vectors: Reducing Task Interference in Model Merging. Merge models avoiding task interference through separable models.☆28Updated last month
- Awesome-Low-Rank-Adaptation☆116Updated 11 months ago
- Implementaiton of "DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation" (accepted by NAACL2024 Findings)".☆23Updated 7 months ago
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆60Updated 11 months ago
- [NeurIPS2023] "Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning" by Yihua Zhang*, Yimeng Zhang*,…☆13Updated last year
- Official Pytorch Implementation of "Outlier-weighed Layerwise Sampling for LLM Fine-tuning" by Pengxiang Li, Lu Yin, Xiaowei Gao, Shiwei …☆34Updated 3 months ago
- CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for task-aware parameter-efficient fine-tuning(NeurIPS 2024)☆49Updated 8 months ago
- ☆58Updated 9 months ago
- This is the official code for the paper "Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturba…☆29Updated 5 months ago
- Code accompanying the paper "Massive Activations in Large Language Models"☆179Updated last year
- Official code for SEAL: Steerable Reasoning Calibration of Large Language Models for Free☆40Updated 5 months ago
- LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters☆34Updated last month
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆101Updated last year
- LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning☆35Updated last year
- [ICML 2024] Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models.☆74Updated 8 months ago