falcon-xu / early-exit-papersLinks
A curated list of early exiting (LLM, CV, NLP, etc)
☆63Updated last year
Alternatives and similar repositories for early-exit-papers
Users that are interested in early-exit-papers are comparing it to the libraries listed below
Sorting:
- ☆60Updated last year
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆122Updated last month
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆61Updated last year
- Survey Paper List - Efficient LLM and Foundation Models☆256Updated last year
- ☆58Updated 10 months ago
- ☆43Updated 11 months ago
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆72Updated 3 months ago
- ☆100Updated last year
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆128Updated 2 years ago
- a curated list of high-quality papers on resource-efficient LLMs 🌱☆140Updated 6 months ago
- Awesome list for LLM pruning.☆263Updated last week
- ☆52Updated last year
- ☆51Updated last year
- [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers☆192Updated 2 years ago
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆115Updated 3 months ago
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆66Updated 6 months ago
- A curated list of Early Exiting papers, benchmarks, and misc.☆117Updated last year
- Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference☆46Updated last year
- [ICML‘24] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".☆111Updated 3 months ago
- Efficient LLM Inference Acceleration using Prompting☆50Updated 11 months ago
- Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding (EMNLP 2023 Long)☆63Updated last year
- Official implementation for Yuan & Liu & Zhong et al., KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark o…☆85Updated 7 months ago
- A family of efficient edge language models in 100M~1B sizes.☆17Updated 7 months ago
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆49Updated last year
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆80Updated 11 months ago
- ☆38Updated last year
- Code associated with the paper **Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding**☆202Updated 7 months ago
- Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs☆19Updated 9 months ago
- This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs☆39Updated last year
- [ICLR 2025] PEARL: Parallel Speculative Decoding with Adaptive Draft Length☆117Updated 5 months ago