SimiaoZuo / MoEBERTLinks
This PyTorch package implements MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation (NAACL 2022).
☆112Updated 3 years ago
Alternatives and similar repositories for MoEBERT
Users that are interested in MoEBERT are comparing it to the libraries listed below
Sorting:
- ☆143Updated last year
- Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models☆143Updated 3 years ago
- ☆55Updated last year
- [ACL 2022] Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408☆198Updated 2 years ago
- Codes for our paper "Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation" (EMNLP 2023 Findings)☆46Updated 2 years ago
- [ACL 2024] Long-Context Language Modeling with Parallel Encodings☆168Updated last year
- This is the implementation of the paper AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning (https://arxiv.org/abs/2205.1…☆136Updated 2 years ago
- This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).☆46Updated 3 years ago
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆132Updated 2 years ago
- ☆105Updated 2 years ago
- ☆109Updated 6 months ago
- DSIR large-scale data selection framework for language model training☆268Updated 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
- Code for the ACL-2022 paper "StableMoE: Stable Routing Strategy for Mixture of Experts"☆51Updated 3 years ago
- Are Intermediate Layers and Labels Really Necessary? A General Language Model Distillation Method ; GKD: A General Knowledge Distillation…☆33Updated 2 years ago
- [KDD'22] Learned Token Pruning for Transformers☆102Updated 2 years ago
- Code for paper "UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning", ACL 2022☆63Updated 3 years ago
- https://acl2023-retrieval-lm.github.io/☆156Updated 2 years ago
- ICML'2022: Black-Box Tuning for Language-Model-as-a-Service & EMNLP'2022: BBTv2: Towards a Gradient-Free Future with Large Language Model…☆272Updated 3 years ago
- Code for ACL2023 paper: Pre-Training to Learn in Context☆106Updated last year
- Retrieval as Attention☆82Updated 3 years ago
- ACL'23: Unified Demonstration Retriever for In-Context Learning☆38Updated 2 years ago
- Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding (EMNLP 2023 Long)☆65Updated last year
- One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning☆40Updated 2 years ago
- The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":☆44Updated last year
- ☆95Updated last year
- [NeurIPS'23] Speculative Decoding with Big Little Decoder☆96Updated last year
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆77Updated last year
- This package implements THOR: Transformer with Stochastic Experts.☆65Updated 4 years ago
- [EMNLP 2022] Training Language Models with Memory Augmentation https://arxiv.org/abs/2205.12674☆196Updated 2 years ago