SimiaoZuo / MoEBERT
This PyTorch package implements MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation (NAACL 2022).
☆100Updated 2 years ago
Alternatives and similar repositories for MoEBERT:
Users that are interested in MoEBERT are comparing it to the libraries listed below
- ☆122Updated 7 months ago
- ☆95Updated 4 months ago
- Code for the ACL-2022 paper "StableMoE: Stable Routing Strategy for Mixture of Experts"☆45Updated 2 years ago
- [ACL 2022] Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408☆192Updated last year
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆129Updated last year
- Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding (EMNLP 2023 Long)☆56Updated 4 months ago
- This package implements THOR: Transformer with Stochastic Experts.☆62Updated 3 years ago
- [KDD'22] Learned Token Pruning for Transformers☆96Updated last year
- [ACL 2024] Long-Context Language Modeling with Parallel Encodings☆153Updated 8 months ago
- ☆47Updated 10 months ago
- Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models☆138Updated 2 years ago
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆48Updated last year
- This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).☆43Updated 2 years ago
- This is the implementation of the paper AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning (https://arxiv.org/abs/2205.1…☆127Updated last year
- Retrieval as Attention☆83Updated 2 years ago
- ☆39Updated last year
- [ICLR 2025] 🧬 RegMix: Data Mixture as Regression for Language Model Pre-training (Spotlight)☆106Updated this week
- One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning☆38Updated last year
- ACL'23: Unified Demonstration Retriever for In-Context Learning☆36Updated last year
- Official PyTorch implementation of DistiLLM: Towards Streamlined Distillation for Large Language Models (ICML 2024)☆186Updated 5 months ago
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆157Updated 8 months ago
- [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models☆76Updated 11 months ago
- ☆105Updated last year
- [NeurIPS'23] Speculative Decoding with Big Little Decoder☆88Updated last year
- ☆85Updated 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…☆265Updated 2 years ago
- DSIR large-scale data selection framework for language model training☆241Updated 10 months ago
- This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)☆100Updated 2 years ago
- Code for paper "UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning", ACL 2022☆59Updated 2 years ago
- Codes for our paper "Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation" (EMNLP 2023 Findings)☆39Updated last year