ZRayZzz / flash-attention-v100Links
☆67Updated last year
Alternatives and similar repositories for flash-attention-v100
Users that are interested in flash-attention-v100 are comparing it to the libraries listed below
Sorting:
- Triton Documentation in Chinese Simplified / Triton 中文文档☆99Updated last month
- 🤖FFPA: Extend FlashAttention-2 with Split-D, ~O(1) SRAM complexity for large headdim, 1.8x~3x↑🎉 vs SDPA EA.☆248Updated last week
- DashInfer is a native LLM inference engine aiming to deliver industry-leading performance atop various hardware architectures, including …☆274Updated 5 months ago
- ☆79Updated 2 years ago
- ☆152Updated 6 months ago
- llm theoretical performance analysis tools and support params, flops, memory and latency analysis.☆114Updated 6 months ago
- CPM.cu is a lightweight, high-performance CUDA implementation for LLMs, optimized for end-device inference and featuring cutting-edge tec…☆223Updated 2 weeks ago
- 使用 CUDA C++ 实现的 llama 模型推理框架☆64Updated last year
- DeepSeek Native Sparse Attention pytorch implementation☆114Updated last month
- ☆155Updated 10 months ago
- ☆74Updated last week
- Implementation of FlashAttention in PyTorch☆180Updated last year
- Model compression toolkit engineered for enhanced usability, comprehensiveness, and efficiency.☆309Updated this week
- A quantization algorithm for LLM☆148Updated last year
- An easy-to-use package for implementing SmoothQuant for LLMs☆110Updated 9 months ago
- ☆116Updated 3 weeks ago
- Compare different hardware platforms via the Roofline Model for LLM inference tasks.☆120Updated last year
- Triton adapter for Ascend. Mirror of https://gitee.com/ascend/triton-ascend☆105Updated this week
- Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models☆339Updated 11 months ago
- This is an inference framework for the RWKV large language model implemented purely in native PyTorch. The official native implementation…☆132Updated last year
- ☆55Updated last year
- Tutorials for writing high-performance GPU operators in AI frameworks.☆135Updated 2 years ago
- ☆130Updated last year
- [EMNLP 2024 & AAAI 2026] A powerful toolkit for compressing large models including LLMs, VLMs, and video generative models.☆672Updated 2 months ago
- Getting Started with Triton: A Tutorial for Python Beginners☆33Updated 3 months ago
- Efficient, Flexible, and Highly Fault-Tolerant Model Service Management Based on SGLang☆61Updated last year
- ☆141Updated last year
- A collection of memory efficient attention operators implemented in the Triton language.☆287Updated last year
- export llama to onnx☆137Updated last year
- Implement custom operators in PyTorch with cuda/c++☆76Updated 3 years ago