Alternatives and similar repositories for Cuttlefish

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

• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆80Updated last year
• teelinsan / parallel-decoding
  Repository of the paper "Accelerating Transformer Inference for Translation via Parallel Decoding"
  ☆119Updated last year
• yxli2123 / LoSparse
  ☆59Updated last year
• berlino / gated_linear_attention
  ☆106Updated last year
• insuhan / hyper-attn
  ☆81Updated last year
• ldery / Bonsai
  Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"
  ☆28Updated last year
• microsoft / SparseMixer
  Sparse Backpropagation for Mixture-of-Expert Training
  ☆30Updated last year
• hdong920 / GRIFFIN
  ☆38Updated 11 months ago
• YuchuanTian / DiJiang
  [ICML'24 Oral] The official code of "DiJiang: Efficient Large Language Models through Compact Kernelization", a novel DCT-based linear at…
  ☆102Updated last year
• Infini-AI-Lab / Kinetics
  Kinetics: Rethinking Test-Time Scaling Laws
  ☆70Updated last month
• metacarbon / shareAtt
  Beyond KV Caching: Shared Attention for Efficient LLMs
  ☆19Updated last year
• GATECH-EIC / Linearized-LLM
  [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models
  ☆33Updated last year
• sjelassi / transformers_ssm_copy
  ☆33Updated last year
• smonsays / hypernetwork-attention
  Official code for the paper "Attention as a Hypernetwork"
  ☆40Updated last year
• kyegomez / Blockwise-Parallel-Transformer
  32 times longer context window than vanilla Transformers and up to 4 times longer than memory efficient Transformers.
  ☆48Updated 2 years ago
• hahnyuan / ASVD4LLM
  Activation-aware Singular Value Decomposition for Compressing Large Language Models
  ☆74Updated 9 months ago
• sustcsonglin / linear-attention-and-beyond-slides
  ☆79Updated 5 months ago
• OpenNLPLab / LASP
  Linear Attention Sequence Parallelism (LASP)
  ☆85Updated last year
• epfml / dynamic-sparse-flash-attention
  ☆147Updated 2 years ago
• xiayuqing0622 / flex_head_fa
  Fast and memory-efficient exact attention
  ☆69Updated 5 months ago
• zhixuan-lin / forgetting-transformer
  [ICLR 2025] Official PyTorch implementation of "Forgetting Transformer: Softmax Attention with a Forget Gate"
  ☆121Updated last month
• BlinkDL / LinearAttentionArena
  Here we will test various linear attention designs.
  ☆62Updated last year
• PiotrNawrot / sparse-frontier
  The evaluation framework for training-free sparse attention in LLMs
  ☆88Updated last month
• IST-DASLab / MicroAdam
  This repository contains code for the MicroAdam paper.
  ☆19Updated 7 months ago
• shawntan / stickbreaking-attention
  Stick-breaking attention
  ☆59Updated last month
• ylsung / rsq
  Code for "RSQ: Learning from Important Tokens Leads to Better Quantized LLMs"
  ☆18Updated 2 months ago
• JonasGeiping / linear_cross_entropy_loss
  A fusion of a linear layer and a cross entropy loss, written for pytorch in triton.
  ☆70Updated last year
• UNITES-Lab / MC-SMoE
  [ICLR 2024 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"
  ☆89Updated last month
• htqin / IR-QLoRA
  [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…
  ☆67Updated last year
• tilde-research / nsa-impl
  An efficient implementation of the NSA (Native Sparse Attention) kernel
  ☆110Updated last month