ambisinister / mla-experimentsLinks
Experiments on Multi-Head Latent Attention
☆94Updated 11 months ago
Alternatives and similar repositories for mla-experiments
Users that are interested in mla-experiments are comparing it to the libraries listed below
Sorting:
- Flash-Muon: An Efficient Implementation of Muon Optimizer☆152Updated last month
- ☆123Updated 2 months ago
- Fast and memory-efficient exact attention☆69Updated 5 months ago
- The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.☆82Updated 3 weeks ago
- ☆81Updated last year
- The evaluation framework for training-free sparse attention in LLMs☆88Updated last month
- ☆79Updated 5 months ago
- 🔥 A minimal training framework for scaling FLA models☆220Updated last month
- Linear Attention Sequence Parallelism (LASP)☆85Updated last year
- Code for studying the super weight in LLM☆114Updated 8 months ago
- Transformers components but in Triton☆34Updated 2 months ago
- Get down and dirty with FlashAttention2.0 in pytorch, plug in and play no complex CUDA kernels☆106Updated 2 years ago
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆167Updated last year
- Low-bit optimizers for PyTorch☆130Updated last year
- ☆53Updated last year
- The official implementation of the paper "Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques (TMLR)".☆72Updated 4 months ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆165Updated last year
- An unofficial implementation of "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆35Updated last year
- Triton-based implementation of Sparse Mixture of Experts.☆230Updated 8 months ago
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆127Updated 11 months ago
- ☆147Updated 2 years ago
- CUDA and Triton implementations of Flash Attention with SoftmaxN.☆71Updated last year
- Implementation of Infini-Transformer in Pytorch☆110Updated 7 months ago
- Implementation of the paper: "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆103Updated this week
- Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…☆140Updated 11 months ago
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …☆61Updated 9 months ago
- ☆137Updated 5 months ago
- Load compute kernels from the Hub☆220Updated last week
- ☆51Updated 9 months ago
- ☆114Updated last year