RiseAI-Sys / attention-gymLinks
Triton based sparse quantization attention kernel collection
☆39Updated 3 months ago
Alternatives and similar repositories for attention-gym
Users that are interested in attention-gym are comparing it to the libraries listed below
Sorting:
- High performance inference engine for diffusion models☆100Updated 3 months ago
- ☆187Updated 10 months ago
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆73Updated last year
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆77Updated 4 months ago
- Distributed parallel 3D-Causal-VAE for efficient training and inference☆43Updated 3 months ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆139Updated 8 months ago
- A parallelism VAE avoids OOM for high resolution image generation☆84Updated 4 months ago
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆47Updated last year
- A sparse attention kernel supporting mix sparse patterns☆396Updated 10 months ago
- FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation [Efficient ML Model]☆45Updated 3 months ago
- A Survey of Efficient Attention Methods: Hardware-efficient, Sparse, Compact, and Linear Attention☆245Updated last week
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆196Updated 2 weeks ago
- CUDA Templates for Linear Algebra Subroutines☆101Updated last year
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆150Updated 3 months ago
- ☆124Updated 3 months ago
- [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training☆251Updated 4 months ago
- ☆11Updated 11 months ago
- To pioneer training long-context multi-modal transformer models☆63Updated 4 months ago
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆68Updated 8 months ago
- ☆102Updated last year
- Implement Flash Attention using Cute.☆97Updated 11 months ago
- 🤖FFPA: Extend FlashAttention-2 with Split-D, ~O(1) SRAM complexity for large headdim, 1.8x~3x↑🎉 vs SDPA EA.☆235Updated 3 weeks ago
- ☆112Updated 6 months ago
- Patch convolution to avoid large GPU memory usage of Conv2D☆93Updated 10 months ago
- A collection of memory efficient attention operators implemented in the Triton language.☆286Updated last year
- This is the official PyTorch implementation of "BLADE: Block-Sparse Attention Meets Step Distillation for Efficient Video Generation."☆33Updated 2 months ago
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆43Updated 9 months ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆50Updated 2 years ago
- Code for Draft Attention☆96Updated 6 months ago
- flash attention tutorial written in python, triton, cuda, cutlass☆456Updated 6 months ago