tding1 / Efficient-LLM-Survey
The Efficiency Spectrum of LLM
☆52Updated last year
Alternatives and similar repositories for Efficient-LLM-Survey:
Users that are interested in Efficient-LLM-Survey are comparing it to the libraries listed below
- Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding (EMNLP 2023 Long)☆56Updated 3 months ago
- A Closer Look into Mixture-of-Experts in Large Language Models☆41Updated 5 months ago
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆80Updated last year
- Codebase for Instruction Following without Instruction Tuning☆33Updated 3 months ago
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆48Updated last year
- Long Context Extension and Generalization in LLMs☆40Updated 3 months ago
- Here we will test various linear attention designs.☆58Updated 8 months ago
- [ICML2024 Spotlight] Fine-Tuning Pre-trained Large Language Models Sparsely☆20Updated 6 months ago
- From GaLore to WeLore: How Low-Rank Weights Non-uniformly Emerge from Low-Rank Gradients. Ajay Jaiswal, Lu Yin, Zhenyu Zhang, Shiwei Liu,…☆42Updated 6 months ago
- The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":☆34Updated 9 months ago
- ☆64Updated 9 months ago
- ☆24Updated 5 months ago
- ☆48Updated 11 months ago
- Repository of the paper "Accelerating Transformer Inference for Translation via Parallel Decoding"☆114Updated 10 months ago
- The official implementation of the paper "Demystifying the Compression of Mixture-of-Experts Through a Unified Framework".☆52Updated 2 months ago
- Using FlexAttention to compute attention with different masking patterns☆40Updated 3 months ago
- Pytorch implementation for "Compressed Context Memory For Online Language Model Interaction" (ICLR'24)☆52Updated 8 months ago
- [ACL 2024] RelayAttention for Efficient Large Language Model Serving with Long System Prompts☆38Updated 10 months ago
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆75Updated 3 months ago
- [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models☆28Updated 7 months ago
- Official implementation of the paper: "A deeper look at depth pruning of LLMs"☆12Updated 5 months ago
- ☆36Updated 4 months ago
- [EMNLP 2023 Industry Track] A simple prompting approach that enables the LLMs to run inference in batches.☆72Updated 10 months ago
- ☆124Updated 11 months ago
- Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"☆27Updated 9 months ago
- "Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding" Zhenyu Zhang, Runjin Chen, Shiw…☆25Updated 8 months ago
- Simple and efficient pytorch-native transformer training and inference (batched)☆66Updated 9 months ago
- [NeurIPS 2024] Fast Best-of-N Decoding via Speculative Rejection☆38Updated 2 months ago
- PyTorch building blocks for OLMo☆47Updated this week
- Implementation of the paper: "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention" from Google in pyTO…☆53Updated this week