kyegomez / FlashAttention20
Get down and dirty with FlashAttention2.0 in pytorch, plug in and play no complex CUDA kernels
☆102Updated last year
Alternatives and similar repositories for FlashAttention20:
Users that are interested in FlashAttention20 are comparing it to the libraries listed below
- ☆145Updated last year
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆123Updated last month
- Fast Hadamard transform in CUDA, with a PyTorch interface☆154Updated 10 months ago
- Reorder-based post-training quantization for large language model☆186Updated last year
- Official PyTorch implementation of FlatQuant: Flatness Matters for LLM Quantization☆112Updated this week
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆157Updated 8 months ago
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆109Updated 2 weeks ago
- The official implementation of the EMNLP 2023 paper LLM-FP4☆192Updated last year
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆301Updated 8 months ago
- PB-LLM: Partially Binarized Large Language Models☆152Updated last year
- Triton implementation of Flash Attention2.0☆31Updated last year
- This repository contains integer operators on GPUs for PyTorch.☆197Updated last year
- PyTorch bindings for CUTLASS grouped GEMM.☆77Updated 4 months ago
- An easy-to-use package for implementing SmoothQuant for LLMs☆95Updated 10 months ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆281Updated 2 months ago
- ☆122Updated last month
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆116Updated last year
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆337Updated 7 months ago
- ☆157Updated last year
- Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models☆274Updated last month
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆109Updated 10 months ago
- A collection of memory efficient attention operators implemented in the Triton language.☆253Updated 9 months ago
- Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs☆80Updated 4 months ago
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆111Updated 3 months ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆242Updated 5 months ago
- A quantization algorithm for LLM☆137Updated 9 months ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆278Updated 3 weeks ago
- Code Repository of Evaluating Quantized Large Language Models☆121Updated 6 months ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆365Updated 4 months ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆71Updated 6 months ago