kssteven418 / LTPLinks
[KDD'22] Learned Token Pruning for Transformers
☆98Updated 2 years ago
Alternatives and similar repositories for LTP
Users that are interested in LTP are comparing it to the libraries listed below
Sorting:
- [ACL 2022] Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408☆196Updated 2 years ago
- Block Sparse movement pruning☆81Updated 4 years ago
- Repository of the paper "Accelerating Transformer Inference for Translation via Parallel Decoding"☆119Updated last year
- This package implements THOR: Transformer with Stochastic Experts.☆65Updated 3 years ago
- [NeurIPS'23] Speculative Decoding with Big Little Decoder☆93Updated last year
- [EVA ICLR'23; LARA ICML'22] Efficient attention mechanisms via control variates, random features, and importance sampling☆86Updated 2 years ago
- This PyTorch package implements MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation (NAACL 2022).☆109Updated 3 years ago
- ☆59Updated last year
- Code for the ACL-2022 paper "StableMoE: Stable Routing Strategy for Mixture of Experts"☆48Updated 3 years ago
- ☆139Updated last year
- This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).☆46Updated 2 years ago
- [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers☆191Updated 2 years ago
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆53Updated 2 years ago
- ☆106Updated last year
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆57Updated last year
- ☆17Updated 5 years ago
- A curated list of Early Exiting papers, benchmarks, and misc.☆117Updated last year
- Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models☆142Updated 2 years ago
- ☆21Updated 2 years ago
- Method to improve inference time for BERT. This is an implementation of the paper titled "PoWER-BERT: Accelerating BERT Inference via Pro…☆61Updated 2 months ago
- ☆50Updated last year
- Code for ACL2022 publication Transkimmer: Transformer Learns to Layer-wise Skim☆21Updated 2 years ago
- ☆15Updated 3 years ago
- Parameter Efficient Transfer Learning with Diff Pruning☆74Updated 4 years ago
- ☆13Updated 2 years ago
- ☆147Updated 2 years ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆29Updated last year
- Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding (EMNLP 2023 Long)☆61Updated 10 months ago
- [ACL 2024] Official PyTorch implementation of "IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact"☆46Updated last year
- ☆210Updated 2 years ago