Alternatives and similar repositories for LTE

Users that are interested in LTE are comparing it to the libraries listed below

• FasterDecoding / BitDelta
  ☆202Updated 11 months ago
• HanGuo97 / lq-lora
  ☆127Updated last year
• RobertCsordas / moeut
  ☆87Updated last year
• TRI-ML / linear_open_lm
  A repository for research on medium sized language models.
  ☆78Updated last year
• itsnamgyu / block-transformer
  Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)
  ☆162Updated 7 months ago
• BorealisAI / flora-opt
  This is the official repository for the paper "Flora: Low-Rank Adapters Are Secretly Gradient Compressors" in ICML 2024.
  ☆104Updated last year
• siyan-zhao / prepacking
  The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …
  ☆60Updated last year
• VITA-Group / WeLore
  From GaLore to WeLore: How Low-Rank Weights Non-uniformly Emerge from Low-Rank Gradients. Ajay Jaiswal, Lu Yin, Zhenyu Zhang, Shiwei Liu,…
  ☆51Updated 2 weeks ago
• kyleliang919 / Online-Subspace-Descent
  [NeurIPS 2024] Low rank memory efficient optimizer without SVD
  ☆30Updated 4 months ago
• jeffreysijuntan / lloco
  The official repo for "LLoCo: Learning Long Contexts Offline"
  ☆118Updated last year
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆85Updated last year
• Zyphra / tree_attention
  Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
  ☆130Updated 11 months ago
• PiotrNawrot / sparse-frontier
  The evaluation framework for training-free sparse attention in LLMs
  ☆102Updated last month
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆100Updated last year
• snu-mllab / Context-Memory
  Pytorch implementation for "Compressed Context Memory For Online Language Model Interaction" (ICLR'24)
  ☆62Updated last year
• SalesforceAIResearch / GemFilter
  ☆85Updated this week
• schwartz-lab-NLP / TOVA
  Token Omission Via Attention
  ☆127Updated last year
• ScalingIntelligence / large_language_monkeys
  ☆108Updated last year
• hahnyuan / PB-LLM
  PB-LLM: Partially Binarized Large Language Models
  ☆156Updated last year
• wuhy68 / Parameter-Efficient-MoE
  Parameter-Efficient Sparsity Crafting From Dense to Mixture-of-Experts for Instruction Tuning on General Tasks (EMNLP'24)
  ☆147Updated last year
• RobertCsordas / moe_attention
  Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"
  ☆101Updated last year
• sanyalsunny111 / LLM-Inheritune
  This is the official repository for Inheritune.
  ☆115Updated 9 months ago
• whyNLP / LCKV
  Layer-Condensed KV cache w/ 10 times larger batch size, fewer params and less computation. Dramatic speed up with better task performance…
  ☆156Updated 7 months ago
• google-deepmind / asyncdiloco
  ☆47Updated last year
• mengxiayu / LLMSuperWeight
  Code for studying the super weight in LLM
  ☆119Updated 11 months ago
• PiotrNawrot / nano-sparse-attention
  The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.
  ☆92Updated 3 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
  ☆131Updated last week
• IST-DASLab / QuEST
  Work in progress.
  ☆75Updated 4 months ago
• ahans30 / goldfish-loss
  [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs
  ☆92Updated 11 months ago
• JacobPfau / fillerTokens
  ☆75Updated last year