Alternatives and similar repositories for Collinear-Constrained-Attention

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

• DAMO-NLP-SG / CLEX
  [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models
  ☆78Updated last year
• cofe-ai / Mu-scaling
  Research without Re-search: Maximal Update Parametrization Yields Accurate Loss Prediction across Scales
  ☆32Updated 2 years ago
• YuchuanTian / RethinkTinyLM
  [ICML'24] The official implementation of “Rethinking Optimization and Architecture for Tiny Language Models”
  ☆126Updated 11 months ago
• OpenLMLab / scaling-rope
  code for Scaling Laws of RoPE-based Extrapolation
  ☆73Updated 2 years ago
• open-compass / CompassVerifier
  [EMNLP 2025] CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward
  ☆59Updated 4 months 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
• nishiwen1214 / Benchmark-leakage-detection
  Official completion of “Training on the Benchmark Is Not All You Need”.
  ☆38Updated 11 months ago
• RUCAIBox / QuantizedEmpirical
  ☆15Updated 2 years ago
• TemporaryLoRA / Temp-LoRA
  ☆124Updated 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
• yegcjs / mixinglaws
  ☆109Updated 5 months ago
• shaochenze / PatchTrain
  Code for paper "Patch-Level Training for Large Language Models"
  ☆96Updated last month
• SkyworkAI / Skywork-MoE
  Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models
  ☆138Updated last year
• thu-coai / MiniPLM
  [ICLR 2025] MiniPLM: Knowledge Distillation for Pre-Training Language Models
  ☆69Updated last year
• kamanphoebe / Look-into-MoEs
  [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models
  ☆56Updated 10 months ago
• 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
• NormXU / Consistent-DynamicNTKRoPE
  An Experiment on Dynamic NTK Scaling RoPE
  ☆64Updated 2 years ago
• zhaochenyang20 / Prompt2Model-Self-Guide
  SELF-GUIDE: Better Task-Specific Instruction Following via Self-Synthetic Finetuning. COLM 2024 Accepted Paper
  ☆33Updated last year
• princeton-pli / MeCo
  Code for ICML 25 paper "Metadata Conditioning Accelerates Language Model Pre-training (MeCo)"
  ☆48Updated 5 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
• Zheng0428 / COIG-Kun
  ☆36Updated last year
• bigai-nlco / TokenSwift
  [ICML 2025] |TokenSwift: Lossless Acceleration of Ultra Long Sequence Generation
  ☆118Updated 7 months ago
• GAIR-NLP / ReAlign
  Reformatted Alignment
  ☆113Updated 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
• swt-user / DMPO
  ☆52Updated last year
• 18907305772 / FuseAI
  FuseAI Project
  ☆87Updated 11 months ago
• Zanette-Labs / SpeculativeRejection
  [NeurIPS 2024] Fast Best-of-N Decoding via Speculative Rejection
  ☆52Updated last year
• ZhenweiAn / Dynamic_MoE
  Inference Code for Paper "Harder Tasks Need More Experts: Dynamic Routing in MoE Models"
  ☆67Updated last year
• nick7nlp / Counting-Stars
  Counting-Stars (★)
  ☆83Updated last month
• THUDM / T1
  RL Scaling and Test-Time Scaling (ICML'25)
  ☆112Updated 11 months ago