WaveSpeedAI / QuantumAttentionLinks
[WIP] Better (FP8) attention for Hopper
☆31Updated 4 months ago
Alternatives and similar repositories for QuantumAttention
Users that are interested in QuantumAttention are comparing it to the libraries listed below
Sorting:
- (WIP) Parallel inference for black-forest-labs' FLUX model.☆19Updated 7 months ago
- ☆71Updated 6 months ago
- ☆18Updated last year
- 🎬 3.7× faster video generation E2E 🖼️ 1.6× faster image generation E2E ⚡ ColumnSparseAttn 9.3× vs FlashAttn‑3 💨 ColumnSparseGEMM 2.5× …☆74Updated 2 weeks ago
- PyTorch half precision gemm lib w/ fused optional bias + optional relu/gelu☆72Updated 7 months ago
- faster parallel inference of mochi-1 video generation model☆123Updated 4 months ago
- QuIP quantization☆54Updated last year
- Writing FLUX in Triton☆34Updated 9 months ago
- Making Flux go brrr on GPUs.☆95Updated last week
- An auxiliary project analysis of the characteristics of KV in DiT Attention.☆31Updated 7 months ago
- FlexAttention w/ FlashAttention3 Support☆26Updated 9 months ago
- ☆51Updated last year
- APPy (Annotated Parallelism for Python) enables users to annotate loops and tensor expressions in Python with compiler directives akin to…☆23Updated 3 weeks ago
- 🤗CacheDiT: A Training-free and Easy-to-use Cache Acceleration Toolbox for Diffusion Transformers🔥☆99Updated this week
- Flash-Muon: An Efficient Implementation of Muon Optimizer☆138Updated last month
- Work in progress.☆70Updated 2 weeks ago
- Triton kernels for Flux☆20Updated last week
- ☆71Updated 2 weeks ago
- Patch convolution to avoid large GPU memory usage of Conv2D☆90Updated 5 months ago
- Training-free Post-training Efficient Sub-quadratic Complexity Attention. Implemented with OpenAI Triton.☆139Updated this week
- ☆17Updated 7 months ago
- A WebUI for Side-by-Side Comparison of Media (Images/Videos) Across Multiple Folders☆24Updated 4 months ago
- A Suite for Parallel Inference of Diffusion Transformers (DiTs) on multi-GPU Clusters☆47Updated 11 months ago
- DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling☆17Updated last month
- ☆139Updated 3 weeks ago
- RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best…☆49Updated 3 months ago
- A CUDA kernel for NHWC GroupNorm for PyTorch☆19Updated 8 months ago
- Official PyTorch implementation of "GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance" (ICML 2025)☆32Updated last week
- Repository for CPU Kernel Generation for LLM Inference☆26Updated 2 years ago
- Accelerate LLM preference tuning via prefix sharing with a single line of code☆42Updated last week