mengxiayu / LLMSuperWeightLinks
Code for studying the super weight in LLM
☆121Updated last year
Alternatives and similar repositories for LLMSuperWeight
Users that are interested in LLMSuperWeight are comparing it to the libraries listed below
Sorting:
- Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…☆146Updated last year
- The evaluation framework for training-free sparse attention in LLMs☆106Updated last month
- ☆154Updated 9 months ago
- The official implementation of the paper "What Matters in Transformers? Not All Attention is Needed".☆185Updated 3 weeks ago
- The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.☆91Updated 4 months ago
- ☆128Updated last year
- ☆132Updated 6 months ago
- Explorations into some recent techniques surrounding speculative decoding☆295Updated 11 months ago
- The official implementation of the paper "Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques (TMLR)".☆83Updated 8 months ago
- ☆204Updated last year
- Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024☆349Updated 7 months ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆82Updated last year
- [ICML 2024] Official Implementation of SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks☆37Updated 10 months ago
- ☆235Updated last year
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆176Updated last year
- Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"☆249Updated 10 months ago
- Flash-Muon: An Efficient Implementation of Muon Optimizer☆223Updated 5 months ago
- ☆83Updated 2 years ago
- Triton-based implementation of Sparse Mixture of Experts.☆253Updated 2 months ago
- ☆39Updated last year
- nanoGPT-like codebase for LLM training☆112Updated last month
- Fast and memory-efficient exact attention☆74Updated 9 months ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆170Updated last year
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …☆60Updated last year
- A fusion of a linear layer and a cross entropy loss, written for pytorch in triton.☆73Updated last year
- Layer-Condensed KV cache w/ 10 times larger batch size, fewer params and less computation. Dramatic speed up with better task performance…☆157Updated 8 months ago
- Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"☆243Updated 6 months ago
- [ICML 2025] From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories and Applications☆51Updated last month
- Boosting 4-bit inference kernels with 2:4 Sparsity☆86Updated last year
- [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection☆148Updated 9 months ago