goodevening13 / aquakvLinks
☆19Updated 3 months ago
Alternatives and similar repositories for aquakv
Users that are interested in aquakv are comparing it to the libraries listed below
Sorting:
- Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…☆148Updated last year
- Load compute kernels from the Hub☆397Updated this week
- MoE training for Me and You and maybe other people☆353Updated this week
- ☆124Updated last year
- Code for data-aware compression of DeepSeek models☆70Updated 2 months ago
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆131Updated last year
- The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.☆92Updated 6 months ago
- This repository contains the experimental PyTorch native float8 training UX☆226Updated last year
- Code for studying the super weight in LLM☆121Updated last year
- ☆163Updated 7 months ago
- Triton-based implementation of Sparse Mixture of Experts.☆263Updated 4 months ago
- supporting pytorch FSDP for optimizers☆84Updated last year
- A repository to unravel the language of GPUs, making their kernel conversations easy to understand☆198Updated 8 months ago
- Prune transformer layers☆74Updated last year
- The evaluation framework for training-free sparse attention in LLMs☆117Updated 2 weeks ago
- Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"☆251Updated last year
- Work in progress.☆79Updated 2 months ago
- Fast low-bit matmul kernels in Triton☆429Updated last week
- ☆92Updated last year
- Boosting 4-bit inference kernels with 2:4 Sparsity☆93Updated last year
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆187Updated 3 weeks ago
- ☆151Updated this week
- Official implementation of the paper "Linear Transformers with Learnable Kernel Functions are Better In-Context Models"☆167Updated last year
- ☆119Updated last month
- Normalized Transformer (nGPT)☆198Updated last year
- ring-attention experiments☆165Updated last year
- Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"☆248Updated 8 months ago
- ☆16Updated 2 years ago
- A library for unit scaling in PyTorch☆133Updated 7 months ago
- Small scale distributed training of sequential deep learning models, built on Numpy and MPI.☆155Updated 2 years ago