jongwooko / NASH-Pruning-OfficialLinks
Code Implementation for "NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models" (EMNLP 2023)
☆16Updated last year
Alternatives and similar repositories for NASH-Pruning-Official
Users that are interested in NASH-Pruning-Official are comparing it to the libraries listed below
Sorting:
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆55Updated 2 years ago
- Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"☆28Updated last year
- Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding (EMNLP 2023 Long)☆63Updated 11 months ago
- Repository for "Propagating Knowledge Updates to LMs Through Distillation" (NeurIPS 2023).☆26Updated last year
- [ACL'24 Oral] Analysing The Impact of Sequence Composition on Language Model Pre-Training☆22Updated last year
- ☆95Updated last year
- This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).☆46Updated 2 years ago
- Code release for Dataless Knowledge Fusion by Merging Weights of Language Models (https://openreview.net/forum?id=FCnohuR6AnM)☆91Updated 2 years ago
- [NeurIPS 2025] MergeBench: A Benchmark for Merging Domain-Specialized LLMs☆22Updated 4 months ago
- Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models☆142Updated 3 years ago
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆81Updated 2 years ago
- Codebase for Hyperdecoders https://arxiv.org/abs/2203.08304☆12Updated 2 years ago
- ☆128Updated last year
- ☆130Updated 3 years 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
- The official code for Dropping Backward Propagation (DropBP)☆31Updated 10 months ago
- Official implementation of the ICML 2024 paper RoSA (Robust Adaptation)☆44Updated last year
- ☆19Updated 2 years ago
- Compressed LLMs for Efficient Text Generation [ICLR'24 Workshop]☆88Updated last year
- [ICML2024 Spotlight] Fine-Tuning Pre-trained Large Language Models Sparsely☆23Updated last year
- [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models☆55Updated 7 months ago
- Official Pytorch Implementation of Paper "DarwinLM: Evolutionary Structured Pruning of Large Language Models"☆18Updated 7 months ago
- ☆30Updated last year
- Official repository of "Distort, Distract, Decode: Instruction-Tuned Model Can Refine its Response from Noisy Instructions", ICLR 2024 Sp…☆21Updated last year
- Parameter Efficient Transfer Learning with Diff Pruning☆74Updated 4 years ago
- [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning☆32Updated 2 years ago
- [NeurIPS 2024 Main Track] Code for the paper titled "Instruction Tuning With Loss Over Instructions"☆39Updated last year
- Codebase for Instruction Following without Instruction Tuning☆35Updated last year
- Adding new tasks to T0 without catastrophic forgetting☆33Updated 2 years ago
- ☆10Updated 7 months ago