UNITES-Lab / HEXA-MoELinks
Official code for the paper "HEXA-MoE: Efficient and Heterogeneous-Aware MoE Acceleration with Zero Computation Redundancy"
☆13Updated 8 months ago
Alternatives and similar repositories for HEXA-MoE
Users that are interested in HEXA-MoE are comparing it to the libraries listed below
Sorting:
- [ACL 2025] Squeezed Attention: Accelerating Long Prompt LLM Inference☆54Updated last year
- [ICLR 2025] DeFT: Decoding with Flash Tree-attention for Efficient Tree-structured LLM Inference☆45Updated 5 months ago
- Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference☆47Updated last year
- ☆22Updated 8 months ago
- [NeurIPS'25 Spotlight] Adaptive Attention Sparsity with Hierarchical Top-p Pruning☆69Updated 2 weeks ago
- A Survey of Efficient Attention Methods: Hardware-efficient, Sparse, Compact, and Linear Attention☆233Updated 3 months ago
- ☆19Updated 11 months ago
- ☆187Updated last week
- ☆39Updated 3 months ago
- [ICML 2025] SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity☆60Updated 4 months ago
- This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs☆41Updated last year
- [NAACL'25 🏆 SAC Award] Official code for "Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert…☆13Updated 9 months ago
- Quantized Attention on GPU☆44Updated last year
- 16-fold memory access reduction with nearly no loss☆108Updated 8 months ago
- [ICML‘25] Official code for paper "Occult: Optimizing Collaborative Communication across Experts for Accelerated Parallel MoE Training an…☆11Updated 7 months ago
- An efficient implementation of the NSA (Native Sparse Attention) kernel☆126Updated 5 months ago
- SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs☆59Updated 8 months ago
- Official implementation of ICML 2024 paper "ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking".☆48Updated last year
- Official implementation of "DPad: Efficient Diffusion Language Models with Suffix Dropout"☆52Updated last week
- AFPQ code implementation☆24Updated 2 years ago
- The official implementation of the DAC 2024 paper GQA-LUT☆20Updated 11 months ago
- LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification☆67Updated 4 months ago
- ☆51Updated 6 months ago
- Official implementation for "Pruning Large Language Models with Semi-Structural Adaptive Sparse Training" (AAAI 2025)☆15Updated 4 months ago
- [CoLM'25] The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>☆150Updated 4 months ago
- [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆60Updated 4 months ago
- Accelerate LLM preference tuning via prefix sharing with a single line of code☆51Updated 4 months ago
- torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.☆22Updated last year
- [ICLR 2025] TidalDecode: A Fast and Accurate LLM Decoding with Position Persistent Sparse Attention☆49Updated 3 months ago
- [COLM 2024] SKVQ: Sliding-window Key and Value Cache Quantization for Large Language Models☆24Updated last year