microsoft / SparseMixerLinks
Sparse Backpropagation for Mixture-of-Expert Training
☆30Updated last year
Alternatives and similar repositories for SparseMixer
Users that are interested in SparseMixer are comparing it to the libraries listed below
Sorting:
- Repository of the paper "Accelerating Transformer Inference for Translation via Parallel Decoding"☆118Updated last year
- Stick-breaking attention☆58Updated 2 weeks ago
- ☆87Updated last year
- ☆56Updated last year
- ☆105Updated last year
- A fusion of a linear layer and a cross entropy loss, written for pytorch in triton.☆69Updated 11 months ago
- The official implementation for Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free☆45Updated 2 months ago
- ☆32Updated last year
- 32 times longer context window than vanilla Transformers and up to 4 times longer than memory efficient Transformers.☆48Updated 2 years ago
- Language models scale reliably with over-training and on downstream tasks☆97Updated last year
- ☆48Updated last year
- Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023☆136Updated last year
- The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling☆33Updated 3 months ago
- Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"☆28Updated last year
- Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"☆91Updated 2 months ago
- [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models☆78Updated last year
- Long Context Extension and Generalization in LLMs☆57Updated 9 months ago
- ☆48Updated last month
- This package implements THOR: Transformer with Stochastic Experts.☆65Updated 3 years ago
- ☆147Updated 2 years ago
- ☆81Updated last year
- ☆45Updated last year
- [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
- "Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding" Zhenyu Zhang, Runjin Chen, Shiw…☆29Updated last year
- Official code repo for paper "Great Memory, Shallow Reasoning: Limits of kNN-LMs"☆23Updated 2 months ago
- Kinetics: Rethinking Test-Time Scaling Laws☆65Updated last week
- ☆53Updated last year
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Updated last year
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆86Updated 9 months ago
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …☆60Updated 9 months ago