NJUNLP / MoE-LPRLinks
☆14Updated 6 months ago
Alternatives and similar repositories for MoE-LPR
Users that are interested in MoE-LPR are comparing it to the libraries listed below
Sorting:
- [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models☆52Updated 4 months ago
- Code for paper "Patch-Level Training for Large Language Models"☆85Updated 7 months ago
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆52Updated 2 years ago
- The this is the official implementation of "DAPE: Data-Adaptive Positional Encoding for Length Extrapolation"☆38Updated 8 months ago
- ☆17Updated 5 months ago
- [NeurIPS 2024] Fast Best-of-N Decoding via Speculative Rejection☆45Updated 7 months ago
- ☆85Updated 2 months ago
- [ICML 2025 Oral] Mixture of Lookup Experts☆27Updated last month
- ☆14Updated last year
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆65Updated last year
- PyTorch implementation of StableMask (ICML'24)☆13Updated 11 months ago
- Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"☆88Updated last month
- Codebase for Instruction Following without Instruction Tuning☆34Updated 9 months ago
- Open-Pandora: On-the-fly Control Video Generation☆34Updated 6 months ago
- [ICML2024 Spotlight] Fine-Tuning Pre-trained Large Language Models Sparsely☆23Updated last year
- ☆23Updated 2 months ago
- The open-source materials for paper "Sparsing Law: Towards Large Language Models with Greater Activation Sparsity".☆23Updated 7 months ago
- ☆51Updated 3 months ago
- Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"☆28Updated last year
- [NeurIPS 2024] | An Efficient Recipe for Long Context Extension via Middle-Focused Positional Encoding☆18Updated 8 months ago
- ☆13Updated 8 months ago
- The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":☆39Updated last year
- [EMNLP 2023]Context Compression for Auto-regressive Transformers with Sentinel Tokens☆24Updated last year
- [ICLR 2025] MiniPLM: Knowledge Distillation for Pre-Training Language Models☆47Updated 7 months ago
- The official implementation for Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free☆44Updated last month
- [ICLR 2025] LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization☆37Updated 4 months ago
- Long Context Extension and Generalization in LLMs☆57Updated 9 months ago
- ☆33Updated 2 months ago
- [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models☆31Updated last year
- Code for preprint "Metadata Conditioning Accelerates Language Model Pre-training (MeCo)"☆39Updated last month