adymaharana / d2pruningLinks
☆43Updated 2 years ago
Alternatives and similar repositories for d2pruning
Users that are interested in d2pruning are comparing it to the libraries listed below
Sorting:
- [ICLR 2024] This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"☆99Updated last year
- Codes for Merging Large Language Models☆34Updated last year
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆74Updated 9 months ago
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆63Updated last year
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆97Updated last year
- [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"☆61Updated 2 years ago
- ☆30Updated 2 years ago
- Official PyTorch Implementation of EMoE: Unlocking Emergent Modularity in Large Language Models [main conference @ NAACL2024]☆37Updated last year
- ☆79Updated 3 years ago
- [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models☆85Updated last year
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆47Updated last year
- [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning☆33Updated 2 years ago
- ☆201Updated last year
- One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning☆40Updated 2 years ago
- TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models☆83Updated last year
- [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors☆82Updated 11 months ago
- This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.☆29Updated last year
- Test-time-training on nearest neighbors for large language models☆48Updated last year
- On the Effectiveness of Parameter-Efficient Fine-Tuning☆38Updated 2 years ago
- Code for paper "UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning", ACL 2022☆63Updated 3 years ago
- [ICML 2024] Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibrati…☆46Updated last year
- code for EMNLP 2024 paper: How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for M…☆13Updated last year
- Code accompanying the paper "Massive Activations in Large Language Models"☆187Updated last year
- ☆34Updated 2 years ago
- [ACL'25] Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning☆20Updated 2 months ago
- Restore safety in fine-tuned language models through task arithmetic☆31Updated last year
- ☆18Updated last year
- [AAAI 2024] MELO: Enhancing Model Editing with Neuron-indexed Dynamic LoRA☆26Updated last year
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆56Updated 2 years ago
- Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]☆51Updated last year