princeton-nlp / CoFiPruning
[ACL 2022] Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408
☆195Updated 2 years ago
Alternatives and similar repositories for CoFiPruning
Users that are interested in CoFiPruning are comparing it to the libraries listed below
Sorting:
- Must-read papers on improving efficiency for pre-trained language models.☆103Updated 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…☆269Updated 2 years ago
- This PyTorch package implements MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation (NAACL 2022).☆105Updated 3 years ago
- Code for the paper "Are Sixteen Heads Really Better than One?"☆171Updated 5 years ago
- [KDD'22] Learned Token Pruning for Transformers☆97Updated 2 years ago
- Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models☆142Updated 2 years ago
- Code for ACL 2023 paper titled "Lifting the Curse of Capacity Gap in Distilling Language Models"☆28Updated last year
- Method to improve inference time for BERT. This is an implementation of the paper titled "PoWER-BERT: Accelerating BERT Inference via Pro…☆61Updated last week
- [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers☆189Updated 2 years ago
- Princeton NLP's pre-training library based on fairseq with DeepSpeed kernel integration 🚃☆114Updated 2 years ago
- This package implements THOR: Transformer with Stochastic Experts.☆62Updated 3 years ago
- An original implementation of "MetaICL Learning to Learn In Context" by Sewon Min, Mike Lewis, Luke Zettlemoyer and Hannaneh Hajishirzi☆264Updated 2 years ago
- ☆99Updated 2 years ago
- Block Sparse movement pruning☆79Updated 4 years ago
- [NeurIPS 2020] "The Lottery Ticket Hypothesis for Pre-trained BERT Networks", Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Ya…☆140Updated 3 years ago
- pytorch implementation for Patient Knowledge Distillation for BERT Model Compression☆202Updated 5 years ago
- For the code release of our arXiv paper "Revisiting Few-sample BERT Fine-tuning" (https://arxiv.org/abs/2006.05987).☆184Updated last year
- ☆98Updated 7 months ago
- This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).☆46Updated 2 years ago
- ☆95Updated 11 months ago
- ☆32Updated 3 years ago
- This is the implementation of the paper AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning (https://arxiv.org/abs/2205.1…☆131Updated last year
- [NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining☆117Updated last year
- Code for EMNLP 2021 main conference paper "Dynamic Knowledge Distillation for Pre-trained Language Models"☆40Updated 2 years ago
- A curated list of Early Exiting papers, benchmarks, and misc.☆115Updated last year
- Unofficial Pytorch implementation of MiniLM and MiniLMv2☆21Updated 3 years ago
- 基于Gated Attention Unit的Transformer模型(尝鲜版)☆97Updated 2 years ago
- Rectified Rotary Position Embeddings☆367Updated 11 months ago
- Implementation of "Glancing Transformer for Non-Autoregressive Neural Machine Translation"☆137Updated 2 years ago
- Source code for our EMNLP'21 paper 《Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning》☆60Updated 3 years ago