ROCm / flash-attentionLinks
Fast and memory-efficient exact attention
☆188Updated this week
Alternatives and similar repositories for flash-attention
Users that are interested in flash-attention are comparing it to the libraries listed below
Sorting:
- Development repository for the Triton language and compiler☆130Updated this week
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆263Updated last month
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆667Updated last month
- A safetensors extension to efficiently store sparse quantized tensors on disk☆157Updated this week
- GPTQ inference Triton kernel☆307Updated 2 years ago
- Fast low-bit matmul kernels in Triton☆357Updated last week
- Applied AI experiments and examples for PyTorch☆295Updated 3 weeks ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆377Updated last year
- Fast Hadamard transform in CUDA, with a PyTorch interface☆231Updated last week
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆319Updated last year
- ☆197Updated 4 months ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆895Updated last year
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆422Updated 9 months ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆747Updated 6 months ago
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆139Updated 3 weeks ago
- ☆150Updated 2 months ago
- AI Tensor Engine for ROCm☆267Updated this week
- The official implementation of the EMNLP 2023 paper LLM-FP4☆214Updated last year
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆114Updated last year
- ☆88Updated 10 months ago
- A Quirky Assortment of CuTe Kernels☆450Updated last week
- A high-throughput and memory-efficient inference and serving engine for LLMs☆96Updated this week
- PyTorch bindings for CUTLASS grouped GEMM.☆113Updated 3 months ago
- [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration☆230Updated 9 months ago
- Ahead of Time (AOT) Triton Math Library☆76Updated last week
- 8-bit CUDA functions for PyTorch☆61Updated last week
- kernels, of the mega variety☆486Updated 3 months ago
- ☆43Updated this week
- A collection of memory efficient attention operators implemented in the Triton language.☆277Updated last year
- Boosting 4-bit inference kernels with 2:4 Sparsity☆82Updated last year