Alternatives and similar repositories for PatchTrain:

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

• DAMO-NLP-SG / CLEX
  [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models
  ☆76Updated last year
• Shwai-He / MEO
  The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":
  ☆37Updated last year
• OpenSparseLLMs / MoM
  ☆78Updated 3 weeks ago
• YuchuanTian / RethinkTinyLM
  [ICML'24] The official implementation of “Rethinking Optimization and Architecture for Tiny Language Models”
  ☆121Updated 3 months ago
• 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…
  ☆51Updated 2 years ago
• DAMO-NLP-SG / LongPO
  [ICLR 2025] LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization
  ☆35Updated 2 months ago
• sail-sg / scaling-with-vocab
  [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623
  ☆84Updated 7 months ago
• UNITES-Lab / MC-SMoE
  [ICLR 2024 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"
  ☆82Updated 11 months ago
• OpenSparseLLMs / Linearization
  ☆39Updated last month
• chujiezheng / LLM-Extrapolation
  Official repository for paper "Weak-to-Strong Extrapolation Expedites Alignment"
  ☆74Updated 11 months ago
• yyDing1 / ScaleQuest
  We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.
  ☆62Updated 6 months ago
• r-three / smear
  ☆29Updated last year
• sail-sg / regmix
  [ICLR 2025] 🧬 RegMix: Data Mixture as Regression for Language Model Pre-training (Spotlight)
  ☆133Updated 2 months ago
• VITA-Group / Ms-PoE
  "Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding" Zhenyu Zhang, Runjin Chen, Shiw…
  ☆29Updated last year
• chuanyang-Zheng / DAPE
  The this is the official implementation of "DAPE: Data-Adaptive Positional Encoding for Length Extrapolation"
  ☆38Updated 7 months ago
• RUCAIBox / JiuZhang3.0
  The code and data for the paper JiuZhang3.0
  ☆44Updated 11 months ago
• thu-coai / MiniPLM
  [ICLR 2025] MiniPLM: Knowledge Distillation for Pre-Training Language Models
  ☆42Updated 5 months ago
• namespace-Pt / UltraGist
  ☆18Updated 5 months ago
• princeton-pli / MeCo
  Code for preprint "Metadata Conditioning Accelerates Language Model Pre-training (MeCo)"
  ☆37Updated last week
• RM-R1-UIUC / RM-R1
  ☆40Updated this week
• TsinghuaC3I / Intuitive-Fine-Tuning
  Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process
  ☆27Updated 9 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…
  ☆55Updated last year
• BestAnHongjun / SentenceVAE
  Enable Next-sentence Prediction for Large Language Models with Faster Speed, Higher Accuracy and Longer Context
  ☆31Updated 8 months ago
• princeton-nlp / ProLong
  Homepage for ProLong (Princeton long-context language models) and paper "How to Train Long-Context Language Models (Effectively)"
  ☆179Updated 2 months ago
• OpenSparseLLMs / Linear-MoE
  ☆82Updated this week
• Leooyii / LCEG
  Long Context Extension and Generalization in LLMs
  ☆54Updated 7 months ago
• yegcjs / DiffusionLLM
  Code for paper "Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning"
  ☆77Updated last year
• yegcjs / mixinglaws
  ☆98Updated 7 months ago
• cofe-ai / Mu-scaling
  Research without Re-search: Maximal Update Parametrization Yields Accurate Loss Prediction across Scales
  ☆32Updated last year
• MikaStars39 / StableMask
  PyTorch implementation of StableMask (ICML'24)
  ☆12Updated 10 months ago