kyegomez / FlashAttention20Links
Get down and dirty with FlashAttention2.0 in pytorch, plug in and play no complex CUDA kernels
☆112Updated 2 years ago
Alternatives and similar repositories for FlashAttention20
Users that are interested in FlashAttention20 are comparing it to the libraries listed below
Sorting:
- ☆132Updated 6 months ago
- ☆157Updated 2 years ago
- Low-bit optimizers for PyTorch☆133Updated 2 years ago
- Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models☆335Updated 9 months ago
- ☆57Updated 2 years ago
- Triton implementation of Flash Attention2.0☆45Updated 2 years ago
- ☆154Updated 9 months ago
- The official implementation of the EMNLP 2023 paper LLM-FP4☆218Updated last year
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆170Updated last year
- PB-LLM: Partially Binarized Large Language Models☆157Updated 2 years ago
- Experiments on Multi-Head Latent Attention☆99Updated last year
- Flash-Muon: An Efficient Implementation of Muon Optimizer☆212Updated 5 months ago
- Reorder-based post-training quantization for large language model☆197Updated 2 years ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆391Updated last year
- PyTorch bindings for CUTLASS grouped GEMM.☆132Updated 6 months ago
- A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.☆183Updated 8 months ago
- [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration☆243Updated last year
- Fast Hadamard transform in CUDA, with a PyTorch interface☆261Updated last month
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆168Updated last week
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆331Updated last year
- Implementation of FlashAttention in PyTorch☆175Updated 10 months ago
- ring-attention experiments☆160Updated last year
- ☆113Updated last year
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆133Updated last year
- [CoLM'25] The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>☆153Updated last week
- ☆159Updated 2 years ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆323Updated 9 months ago
- Efficient LLM Inference over Long Sequences☆392Updated 5 months ago
- Fast and memory-efficient exact attention☆74Updated 9 months ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆272Updated 4 months ago