falcon-xu / early-exit-papers
A curated list of early exiting (LLM, CV, NLP, etc)
☆42Updated 6 months ago
Alternatives and similar repositories for early-exit-papers:
Users that are interested in early-exit-papers are comparing it to the libraries listed below
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆112Updated last year
- A curated list of Early Exiting papers, benchmarks, and misc.☆107Updated last year
- ☆99Updated last year
- ☆50Updated last year
- Awasome Papers and Resources in Deep Neural Network Pruning with Source Code.☆148Updated 6 months ago
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆97Updated 2 months ago
- ☆20Updated 3 months ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆43Updated last year
- Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples [NeurIPS 2021]☆31Updated 3 years ago
- ☆42Updated 2 years ago
- [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers☆180Updated 2 years ago
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆58Updated last year
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆48Updated 2 years ago
- ☆18Updated last year
- Code for "ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models" (ICLR 2024)☆18Updated last year
- In progress.☆63Updated 11 months ago
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆75Updated 3 months ago
- PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".☆82Updated last year
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆58Updated 8 months ago
- Official implementation for paper LIMPQ, "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance", ECCV 2022☆53Updated last year
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆45Updated 11 months ago
- ☆35Updated 9 months ago
- This project is the official implementation of our accepted ICLR 2022 paper BiBERT: Accurate Fully Binarized BERT.☆87Updated last year
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆51Updated last month
- PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021☆56Updated 3 years ago
- Code Repository of Evaluating Quantized Large Language Models☆116Updated 6 months ago
- Survey Paper List - Efficient LLM and Foundation Models☆240Updated 5 months ago
- Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight…☆62Updated 7 months ago
- SQUEEZED ATTENTION: Accelerating Long Prompt LLM Inference☆44Updated 3 months ago
- The official implementation of TinyTrain [ICML '24]☆21Updated 7 months ago