Alternatives and similar repositories for Collinear-Constrained-Attention

Users that are interested in Collinear-Constrained-Attention are comparing it to the libraries listed below

• YuchuanTian / RethinkTinyLM
  [ICML'24] The official implementation of “Rethinking Optimization and Architecture for Tiny Language Models”
  ☆126Updated last year
• DAMO-NLP-SG / CLEX
  [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models
  ☆78Updated last year
• SparkJiao / llama-pipeline-parallel
  A prototype repo for hybrid training of pipeline parallel and distributed data parallel with comments on core code snippets. Feel free to…
  ☆57Updated 2 years ago
• OpenLMLab / scaling-rope
  code for Scaling Laws of RoPE-based Extrapolation
  ☆73Updated 2 years ago
• zhaochenyang20 / Prompt2Model-Self-Guide
  SELF-GUIDE: Better Task-Specific Instruction Following via Self-Synthetic Finetuning. COLM 2024 Accepted Paper
  ☆32Updated last year
• YuchuanTian / DiJiang
  [ICML'24 Oral] The official code of "DiJiang: Efficient Large Language Models through Compact Kernelization", a novel DCT-based linear at…
  ☆104Updated last year
• NormXU / Consistent-DynamicNTKRoPE
  An Experiment on Dynamic NTK Scaling RoPE
  ☆64Updated 2 years ago
• SkyworkAI / Skywork-MoE
  Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models
  ☆138Updated last year
• cofe-ai / Mu-scaling
  Research without Re-search: Maximal Update Parametrization Yields Accurate Loss Prediction across Scales
  ☆32Updated 2 years ago
• jiahe7ay / infini-mini-transformer
  This is a personal reimplementation of Google's Infini-transformer, utilizing a small 2b model. The project includes both model and train…
  ☆58Updated last year
• OpenNLPLab / LASP
  Linear Attention Sequence Parallelism (LASP)
  ☆88Updated last year
• TemporaryLoRA / Temp-LoRA
  ☆125Updated last year
• shaochenze / PatchTrain
  Code for paper "Patch-Level Training for Large Language Models"
  ☆96Updated 2 months ago
• yegcjs / mixinglaws
  ☆109Updated 6 months ago
• RUCAIBox / QuantizedEmpirical
  ☆15Updated 2 years ago
• kamanphoebe / Look-into-MoEs
  [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models
  ☆57Updated 11 months ago
• DAMO-NLP-SG / LongPO
  [ICLR 2025] LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization
  ☆43Updated 10 months ago
• nishiwen1214 / Benchmark-leakage-detection
  Official completion of “Training on the Benchmark Is Not All You Need”.
  ☆38Updated last year
• WisdomShell / RewardAnything
  RewardAnything: Generalizable Principle-Following Reward Models
  ☆45Updated 7 months ago
• OFA-Sys / DiverseEvol
  Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning
  ☆86Updated 2 years ago
• Zheng0428 / COIG-Kun
  ☆36Updated last year
• OpenNLPLab / TransnormerLLM
  Official implementation of TransNormerLLM: A Faster and Better LLM
  ☆248Updated last year
• 18907305772 / FuseAI
  FuseAI Project
  ☆88Updated 11 months ago
• Shwai-He / MEO
  The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":
  ☆44Updated last year
• VITA-Group / Random-MoE-as-Dropout
  [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…
  ☆56Updated 2 years ago
• ZhenweiAn / Dynamic_MoE
  Inference Code for Paper "Harder Tasks Need More Experts: Dynamic Routing in MoE Models"
  ☆67Updated last year
• RUCAIBox / BAMBOO
  ☆35Updated last year
• berlino / gated_linear_attention
  ☆106Updated last year
• swt-user / DMPO
  ☆53Updated last year
• thu-coai / MiniPLM
  [ICLR 2025] MiniPLM: Knowledge Distillation for Pre-Training Language Models
  ☆71Updated last year