locuslab / massive-activationsLinks
Code accompanying the paper "Massive Activations in Large Language Models"
☆191Updated last year
Alternatives and similar repositories for massive-activations
Users that are interested in massive-activations are comparing it to the libraries listed below
Sorting:
- [ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)☆151Updated 6 months ago
- Test-time-training on nearest neighbors for large language models☆49Updated last year
- ☆203Updated last year
- ☆202Updated 8 months ago
- The official implementation of the paper "What Matters in Transformers? Not All Attention is Needed".☆187Updated last month
- ☆51Updated last year
- open-source code for paper: Retrieval Head Mechanistically Explains Long-Context Factuality☆226Updated last year
- Function Vectors in Large Language Models (ICLR 2024)☆190Updated 8 months ago
- Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"☆107Updated 3 months ago
- [ICLR‘24 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"☆102Updated 6 months ago
- ☆29Updated 2 years ago
- Official implementation of "DoRA: Weight-Decomposed Low-Rank Adaptation"☆124Updated last year
- A curated list of Model Merging methods.☆95Updated last month
- [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models☆113Updated last year
- ☆79Updated 3 years ago
- A Sober Look at Language Model Reasoning☆92Updated last month
- [NeurIPS'24 Spotlight] Observational Scaling Laws☆59Updated last year
- AnchorAttention: Improved attention for LLMs long-context training☆213Updated 11 months ago
- Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.☆453Updated last year
- [ICLR 2023] "Learning to Grow Pretrained Models for Efficient Transformer Training" by Peihao Wang, Rameswar Panda, Lucas Torroba Hennige…☆92Updated last year
- ☆23Updated last year
- ☆103Updated 2 years ago
- Code for "Reasoning to Learn from Latent Thoughts"☆124Updated 9 months ago
- [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models☆84Updated last year
- [ICML 2024] Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity; Lu Yin*, Ajay Jaiswal*, Shiwei Liu, So…☆16Updated 8 months ago
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆176Updated last year
- [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".☆63Updated 4 months ago
- Long Context Extension and Generalization in LLMs☆62Updated last year
- [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models☆57Updated 11 months ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆83Updated last year