Alternatives and similar repositories for O-LoRA:

Users that are interested in O-LoRA are comparing it to the libraries listed below

• GCYZSL / MoLA
  ☆125Updated 7 months ago
• Ablustrund / LoRAMoE
  LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment
  ☆292Updated 10 months ago
• liuqidong07 / MOELoRA-peft
  [SIGIR'24] The official implementation code of MOELoRA.
  ☆147Updated 7 months ago
• circle-hit / SAPT
  Code for ACL 2024 accepted paper titled "SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language …
  ☆31Updated last month
• Outsider565 / LoRA-GA
  ☆179Updated 4 months ago
• sail-sg / sdft
  [ACL 2024] The official codebase for the paper "Self-Distillation Bridges Distribution Gap in Language Model Fine-tuning".
  ☆114Updated 4 months ago
• wutaiqiang / MoSLoRA
  ☆95Updated 7 months ago
• BeyonderXX / TRACE
  TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models
  ☆64Updated last year
• QingruZhang / AdaLoRA
  AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning (ICLR 2023).
  ☆296Updated last year
• lancopku / label-words-are-anchors
  Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
  ☆161Updated last year
• mrflogs / LoRA-Pro
  Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "
  ☆102Updated 4 months ago
• qianlima-lab / awesome-lifelong-learning-methods-for-llm
  This repository collects awesome survey, resource, and paper for Lifelong Learning for Large Language Models. (Updated Regularly)
  ☆40Updated 3 weeks ago
• gyhdog99 / MoCLE
  MoCLE (First MLLM with MoE for instruction customization and generalization!) (https://arxiv.org/abs/2312.12379)
  ☆33Updated 10 months ago
• pldlgb / nuggets
  ☆80Updated last year
• Chongjie-Si / Subspace-Tuning
  A generalized framework for subspace tuning methods in parameter efficient fine-tuning.
  ☆128Updated 3 weeks ago
• dvlab-research / Step-DPO
  Implementation for "Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs"
  ☆350Updated last month
• princeton-nlp / QuRating
  [ICML 2024] Selecting High-Quality Data for Training Language Models
  ☆157Updated 8 months ago
• AGI-Edgerunners / LLM-Continual-Learning-Papers
  Must-read Papers on Large Language Model (LLM) Continual Learning
  ☆141Updated last year
• TUDB-Labs / MixLoRA
  State-of-the-art Parameter-Efficient MoE Fine-tuning Method
  ☆134Updated 6 months ago
• tianyi-lab / Superfiltering
  [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning
  ☆143Updated 5 months ago
• OFA-Sys / gsm8k-ScRel
  Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models
  ☆245Updated 5 months ago
• tianyi-lab / Cherry_LLM
  [NAACL'24] Self-data filtering of LLM instruction-tuning data using a novel perplexity-based difficulty score, without using any other mo…
  ☆340Updated 5 months ago
• qianlanwyd / paper-citation-ranking
  ☆50Updated last month
• princeton-nlp / CEPE
  [ACL 2024] Long-Context Language Modeling with Parallel Encodings
  ☆153Updated 8 months ago
• sail-sg / regmix
  [ICLR 2025] 🧬 RegMix: Data Mixture as Regression for Language Model Pre-training (Spotlight)
  ☆110Updated 2 weeks ago
• LightChen233 / M3CoT
  ☆62Updated 8 months ago
• DRSY / EMO
  [ICLR 2024]EMO: Earth Mover Distance Optimization for Auto-Regressive Language Modeling(https://arxiv.org/abs/2310.04691)
  ☆119Updated 11 months ago
• Vance0124 / Token-level-Direct-Preference-Optimization
  Reference implementation for Token-level Direct Preference Optimization(TDPO)
  ☆128Updated 2 weeks ago