thu-ml / ReMoELinks
[ICLR2025] Codebase for "ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing", built on Megatron-LM.
β83Updated 6 months ago
Alternatives and similar repositories for ReMoE
Users that are interested in ReMoE are comparing it to the libraries listed below
Sorting:
- β90Updated 2 months ago
- π₯ A minimal training framework for scaling FLA modelsβ188Updated last month
- β51Updated last week
- β109Updated last month
- [ICML 2025] Fourier Position Embedding: Enhancing Attentionβs Periodic Extension for Length Generalizationβ75Updated last month
- Official implementation of "DoRA: Weight-Decomposed Low-Rank Adaptation"β124Updated last year
- [NeurIPS 2024] Official Repository of The Mamba in the Llama: Distilling and Accelerating Hybrid Modelsβ222Updated 2 months ago
- Fira: Can We Achieve Full-rank Training of LLMs Under Low-rank Constraint?β112Updated 8 months ago
- Official implementation of "Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding"β278Updated last week
- [ICLR 2024 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"β86Updated 3 weeks ago
- β76Updated 4 months ago
- Efficient triton implementation of Native Sparse Attention.β175Updated last month
- [CoLM'25] The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>β139Updated this week
- [ICML 2025] XAttention: Block Sparse Attention with Antidiagonal Scoringβ191Updated last week
- Code for paper "Patch-Level Training for Large Language Models"β85Updated 7 months ago
- Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"β28Updated last year
- β116Updated last month
- Official PyTorch implementation of the paper "dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching" (dLLM-Cacheβ¦β126Updated last week
- Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"β91Updated 2 months ago
- β136Updated 5 months ago
- [ICLR 2025] Official PyTorch implementation of "Forgetting Transformer: Softmax Attention with a Forget Gate"β115Updated last week
- [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Modelsβ94Updated last year
- Some preliminary explorations of Mamba's context scaling.β215Updated last year
- An efficient implementation of the NSA (Native Sparse Attention) kernelβ89Updated 2 weeks ago
- [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Trainingβ215Updated 3 weeks ago
- Low-bit optimizers for PyTorchβ129Updated last year
- [ICML'24 Oral] The official code of "DiJiang: Efficient Large Language Models through Compact Kernelization", a novel DCT-based linear atβ¦β101Updated last year
- Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)β158Updated 3 months ago
- The official implementation of the paper "Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques (TMLR)".β71Updated 3 months ago
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"β167Updated last year