Alternatives and similar repositories for HMT-pytorch

Users that are interested in HMT-pytorch are comparing it to the libraries listed below

• Zyphra / tree_attention
  Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
  ☆126Updated 6 months ago
• hahnyuan / PB-LLM
  PB-LLM: Partially Binarized Large Language Models
  ☆152Updated last year
• whyNLP / LCKV
  Layer-Condensed KV cache w/ 10 times larger batch size, fewer params and less computation. Dramatic speed up with better task performance…
  ☆149Updated 2 months ago
• wdlctc / mini-s
  ☆51Updated 7 months ago
• HazyResearch / lolcats
  Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"
  ☆237Updated 4 months ago
• MNoorFawi / curlora
  The code repository for the CURLoRA research paper. Stable LLM continual fine-tuning and catastrophic forgetting mitigation.
  ☆44Updated 9 months ago
• RobertCsordas / moeut
  ☆79Updated 9 months ago
• ScalingIntelligence / large_language_monkeys
  ☆93Updated 8 months ago
• AnswerDotAI / cold-compress
  Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…
  ☆134Updated 9 months ago
• kyleliang919 / Online-Subspace-Descent
  This repo is based on https://github.com/jiaweizzhao/GaLore
  ☆28Updated 8 months ago
• HanGuo97 / lq-lora
  ☆125Updated last year
• schwartz-lab-NLP / TOVA
  Token Omission Via Attention
  ☆126Updated 7 months ago
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆234Updated 3 months ago
• siyan-zhao / prepacking
  The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …
  ☆59Updated 7 months ago
• TRI-ML / linear_open_lm
  A repository for research on medium sized language models.
  ☆76Updated last year
• sail-sg / SkyLadder
  The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling
  ☆32Updated 2 months ago
• jzhang38 / LongMamba
  Some preliminary explorations of Mamba's context scaling.
  ☆214Updated last year
• casmlab / NPHardEval
  Repository for NPHardEval, a quantified-dynamic benchmark of LLMs
  ☆54Updated last year
• IST-DASLab / QuEST
  Work in progress.
  ☆68Updated last week
• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆197Updated 3 months ago
• epfml / dynamic-sparse-flash-attention
  ☆144Updated 2 years ago
• xiayuqing0622 / flex_head_fa
  Fast and memory-efficient exact attention
  ☆68Updated 3 months ago
• PiotrNawrot / nano-sparse-attention
  The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.
  ☆62Updated 4 months ago
• hdong920 / GRIFFIN
  ☆37Updated 9 months ago
• Lucky-Lance / Expert_Sparsity
  [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models
  ☆90Updated last year
• huyphan168 / PEER
  Mixture of A Million Experts
  ☆46Updated 10 months ago
• NolanoOrg / SpectraSuite
  ☆48Updated 10 months ago
• astramind-ai / Mixture-of-depths
  Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆161Updated 11 months ago
• shawntan / stickbreaking-attention
  Stick-breaking attention
  ☆56Updated 2 months ago
• lucidrains / PEER-pytorch
  Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind
  ☆126Updated 9 months ago