JingXuTHU / Random-Masking-Finds-Winning-Tickets-for-Parameter-Efficient-Fine-tuningLinks
☆14Updated last year
Alternatives and similar repositories for Random-Masking-Finds-Winning-Tickets-for-Parameter-Efficient-Fine-tuning
Users that are interested in Random-Masking-Finds-Winning-Tickets-for-Parameter-Efficient-Fine-tuning are comparing it to the libraries listed below
Sorting:
- This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).☆46Updated 3 years ago
- ☆59Updated 10 months ago
- ☆140Updated last year
- ☆76Updated 3 years ago
- [ICML‘24] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".☆111Updated 3 months ago
- Implementation of CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation☆23Updated 8 months ago
- Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"☆22Updated last year
- ☆20Updated 10 months ago
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆46Updated last year
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆69Updated 7 months ago
- Official code for SEAL: Steerable Reasoning Calibration of Large Language Models for Free☆44Updated 6 months ago
- ☆51Updated last year
- ThinK: Thinner Key Cache by Query-Driven Pruning☆24Updated 8 months ago
- Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]☆51Updated 11 months ago
- official code repo for paper "Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging"☆20Updated last week
- LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning☆35Updated last year
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆92Updated 11 months ago
- Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic☆29Updated 3 weeks ago
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆105Updated 2 years ago
- Code accompanying the paper "Massive Activations in Large Language Models"☆184Updated last year
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆50Updated last year
- ☆51Updated last year
- Source code of EMNLP 2022 Findings paper "SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters"☆19Updated last year
- ☆61Updated 2 years ago
- [ICLR 2025🔥] D2O: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models☆23Updated 3 months ago
- [EMNLP 25] An effective and interpretable weight-editing method for mitigating overly short reasoning in LLMs, and a mechanistic study un…☆15Updated 3 weeks ago
- A curated list of Model Merging methods.☆91Updated last year
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆45Updated last year
- Implementaiton of "DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation" (accepted by NAACL2024 Findings)".☆23Updated 8 months ago
- [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"