kyrie-23 / linear_task_arithmeticLinks
☆11Updated 2 months ago
Alternatives and similar repositories for linear_task_arithmetic
Users that are interested in linear_task_arithmetic are comparing it to the libraries listed below
Sorting:
- Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]☆50Updated 11 months ago
- Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"☆21Updated last year
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆69Updated 7 months ago
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆90Updated 11 months ago
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆105Updated 2 years ago
- Code for paper "Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion"☆13Updated last year
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆46Updated 11 months ago
- Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic☆29Updated 2 weeks ago
- A curated list of Model Merging methods.☆92Updated last year
- ☆18Updated 8 months ago
- ☆20Updated 10 months ago
- LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning☆35Updated last year
- This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.☆28Updated last year
- Task Singular Vectors: Reducing Task Interference in Model Merging. Merge models avoiding task interference through separable models.☆31Updated 2 months ago
- ☆75Updated 3 years ago
- Code for paper "Merging Multi-Task Models via Weight-Ensembling Mixture of Experts"☆29Updated last year
- LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters☆42Updated 2 months ago
- SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining (NeurIPS 2024)☆34Updated 11 months ago
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆49Updated last year
- ☆16Updated last year
- [EMNLP 25] An effective and interpretable weight-editing method for mitigating overly short reasoning in LLMs, and a mechanistic study un…☆15Updated last week
- Official code for SEAL: Steerable Reasoning Calibration of Large Language Models for Free☆42Updated 6 months ago
- Code accompanying the paper "Massive Activations in Large Language Models"☆183Updated last year
- Awesome-Low-Rank-Adaptation☆118Updated 11 months ago
- [ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)☆125Updated 2 months ago
- [ICML 2024] Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity; Lu Yin*, Ajay Jaiswal*, Shiwei Liu, So…☆16Updated 5 months ago
- Official Pytorch Implementation of "Outlier-weighed Layerwise Sampling for LLM Fine-tuning" by Pengxiang Li, Lu Yin, Xiaowei Gao, Shiwei …☆34Updated 4 months ago
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆45Updated last year
- Official PyTorch implementation of DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs (ICML 2025 Oral)☆41Updated 3 months ago
- ☆59Updated 9 months ago