Alternatives and similar repositories for RoSA

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

• Infini-AI-Lab / S2FT
  ☆19Updated last year
• VITA-Group / WeLore
  [ICML 2025] From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories and Applications
  ☆52Updated 3 months ago
• IST-DASLab / SparseFinetuning
  Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry
  ☆42Updated 2 years ago
• sail-sg / SkyLadder
  The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling
  ☆42Updated last month
• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆36Updated last year
• SalesforceAIResearch / GemFilter
  ☆85Updated 2 months ago
• Infini-AI-Lab / gsm_infinite
  ☆63Updated 7 months ago
• 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
• NathanGodey / qfilters
  Repository for the Q-Filters method (https://arxiv.org/pdf/2503.02812)
  ☆35Updated 10 months ago
• RobertCsordas / moe_attention
  Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"
  ☆102Updated last year
• RobertCsordas / moeut
  ☆91Updated last year
• kyegomez / Infini-attention
  Implementation of the paper: "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention" from Google in pyTO…
  ☆58Updated 2 weeks ago
• IST-DASLab / MicroAdam
  This repository contains code for the MicroAdam paper.
  ☆22Updated last year
• IST-DASLab / QuEST
  Work in progress.
  ☆79Updated 2 months ago
• kamanphoebe / Look-into-MoEs
  [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models
  ☆58Updated 11 months ago
• ldery / Bonsai
  Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"
  ☆30Updated last year
• PiotrNawrot / sparse-frontier
  The evaluation framework for training-free sparse attention in LLMs
  ☆114Updated this week
• scitix / MEAP
  Mask-Enhanced Autoregressive Prediction: Pay Less Attention to Learn More
  ☆34Updated 8 months ago
• shaochenze / PatchTrain
  Code for paper "Patch-Level Training for Large Language Models"
  ☆97Updated 2 months ago
• frankxwang / dpo-prefix-sharing
  DPO, but faster 🚀
  ☆46Updated last year
• sramshetty / mixture-of-depths
  An unofficial implementation of "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆36Updated last year
• sail-sg / scaling-with-vocab
  [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623
  ☆89Updated last year
• shreyansh26 / Attention-Mask-Patterns
  Using FlexAttention to compute attention with different masking patterns
  ☆47Updated last year
• TRI-ML / linear_open_lm
  A repository for research on medium sized language models.
  ☆77Updated last year
• ShiZhengyan / InstructionModelling
  [NeurIPS 2024 Main Track] Code for the paper titled "Instruction Tuning With Loss Over Instructions"
  ☆38Updated last year
• GATECH-EIC / Linearized-LLM
  [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models
  ☆35Updated last year
• Infini-AI-Lab / Kinetics
  Kinetics: Rethinking Test-Time Scaling Laws
  ☆85Updated 6 months ago
• mistralai / mistral-evals
  ☆82Updated 2 months ago
• Leooyii / LCEG
  Long Context Extension and Generalization in LLMs
  ☆62Updated 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