shreyansh26 / FlashAttention-PyTorchLinks
Implementation of FlashAttention in PyTorch
☆150Updated 4 months ago
Alternatives and similar repositories for FlashAttention-PyTorch
Users that are interested in FlashAttention-PyTorch are comparing it to the libraries listed below
Sorting:
- ☆138Updated 3 months ago
- A collection of memory efficient attention operators implemented in the Triton language.☆271Updated 11 months ago
- [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training☆203Updated 2 weeks ago
- PyTorch bindings for CUTLASS grouped GEMM.☆125Updated 5 months ago
- ☆131Updated last month
- flash attention tutorial written in python, triton, cuda, cutlass☆368Updated 3 weeks ago
- Get down and dirty with FlashAttention2.0 in pytorch, plug in and play no complex CUDA kernels☆105Updated last year
- Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models☆294Updated 3 months ago
- PyTorch bindings for CUTLASS grouped GEMM.☆93Updated this week
- USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference☆510Updated last week
- Implement Flash Attention using Cute.☆85Updated 5 months ago
- Built upon Megatron-Deepspeed and HuggingFace Trainer, EasyLLM has reorganized the code logic with a focus on usability. While enhancing …☆46Updated 8 months ago
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆124Updated last month
- Transformer related optimization, including BERT, GPT☆59Updated last year
- ☆85Updated 2 months ago
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆37Updated 3 months ago
- 📚FFPA(Split-D): Extend FlashAttention with Split-D for large headdim, O(1) GPU SRAM complexity, 1.8x~3x↑🎉 faster than SDPA EA.☆183Updated 3 weeks ago
- Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆133Updated 2 weeks ago
- An easy-to-use package for implementing SmoothQuant for LLMs☆99Updated last month
- 🔥 A minimal training framework for scaling FLA models☆146Updated 3 weeks ago
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆114Updated last year
- llm theoretical performance analysis tools and support params, flops, memory and latency analysis.☆92Updated this week
- ☆96Updated 8 months ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆251Updated 7 months ago
- (Unofficial) PyTorch implementation of grouped-query attention (GQA) from "GQA: Training Generalized Multi-Query Transformer Models from …☆166Updated last year
- DeepSeek Native Sparse Attention pytorch implementation☆70Updated 3 months ago
- Triton implementation of Flash Attention2.0☆33Updated last year
- ☆138Updated last year
- Efficient triton implementation of Native Sparse Attention.☆155Updated last week
- [USENIX ATC '24] Accelerating the Training of Large Language Models using Efficient Activation Rematerialization and Optimal Hybrid Paral…☆54Updated 10 months ago