hdong920 / LESS
☆49Updated 9 months ago
Alternatives and similar repositories for LESS:
Users that are interested in LESS are comparing it to the libraries listed below
- ☆37Updated 2 months ago
- This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs☆33Updated 6 months ago
- Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding (EMNLP 2023 Long)☆56Updated 4 months ago
- SQUEEZED ATTENTION: Accelerating Long Prompt LLM Inference☆40Updated 3 months ago
- ☆49Updated last year
- QAQ: Quality Adaptive Quantization for LLM KV Cache☆46Updated 10 months ago
- Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference☆32Updated 8 months ago
- ☆36Updated 5 months ago
- Source code for the paper "LongGenBench: Long-context Generation Benchmark"☆14Updated 4 months ago
- [ICLR 2025] SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration☆37Updated 2 months ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆56Updated 3 months ago
- Sirius, an efficient correction mechanism, which significantly boosts Contextual Sparsity models on reasoning tasks while maintaining its…☆21Updated 5 months ago
- Multi-Candidate Speculative Decoding☆34Updated 9 months ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆43Updated last year
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆51Updated last week
- ☆41Updated 2 months ago
- [ICLR 2024 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"☆72Updated 8 months ago
- Official PyTorch implementation of IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact☆40Updated 8 months ago
- Code associated with the paper **Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding**☆160Updated last week
- [NeurIPS 2024] The official implementation of "Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exitin…☆48Updated 7 months ago
- The Official Implementation of Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference☆58Updated 3 weeks ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆157Updated 7 months ago
- [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models☆82Updated 8 months ago
- ☆220Updated 9 months ago
- PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".☆81Updated last year
- [ICLR 2024] Jaiswal, A., Gan, Z., Du, X., Zhang, B., Wang, Z., & Yang, Y. Compressing llms: The truth is rarely pure and never simple.☆20Updated 11 months ago
- The official implementation of paper: SimLayerKV: A Simple Framework for Layer-Level KV Cache Reduction.☆42Updated 4 months ago
- Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"☆27Updated 10 months ago
- ☆111Updated this week