Alternatives and similar repositories for PiSSA

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

• Outsider565 / LoRA-GA
  ☆206Updated 10 months ago
• QingruZhang / AdaLoRA
  AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning (ICLR 2023).
  ☆342Updated 2 years ago
• microsoft / rho
  Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.
  ☆431Updated last year
• NVlabs / DoRA
  [ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation
  ☆832Updated 10 months ago
• nikhilgsh / loraplus
  ☆221Updated last year
• GCYZSL / MoLA
  ☆151Updated last year
• Chongjie-Si / Subspace-Tuning
  A generalized framework for subspace tuning methods in parameter efficient fine-tuning.
  ☆154Updated 2 months ago
• TUDB-Labs / MixLoRA
  State-of-the-art Parameter-Efficient MoE Fine-tuning Method
  ☆178Updated last year
• Cohere-Labs-Community / parameter-efficient-moe
  ☆269Updated last year
• TUDB-Labs / MoE-PEFT
  An Efficient LLM Fine-Tuning Factory Optimized for MoE PEFT
  ☆108Updated 5 months ago
• Ablustrund / LoRAMoE
  LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment
  ☆366Updated last year
• yxli2123 / LoftQ
  ☆225Updated last year
• nbasyl / DoRA
  Official implementation of "DoRA: Weight-Decomposed Low-Rank Adaptation"
  ☆124Updated last year
• mrflogs / LoRA-Pro
  Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "
  ☆129Updated 4 months ago
• Clin0212 / HydraLoRA
  [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
  ☆220Updated 8 months ago
• yongliang-wu / DFT
  [Preprint] On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification.
  ☆361Updated last week
• cmnfriend / O-LoRA
  ☆184Updated last year
• GAIR-NLP / LIMR
  ☆206Updated 6 months ago
• astramind-ai / Mixture-of-depths
  Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆169Updated last year
• ZubinGou / math-evaluation-harness
  A simple toolkit for benchmarking LLMs on mathematical reasoning tasks. 🧮✨
  ☆250Updated last year
• princeton-nlp / LESS
  [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning
  ☆477Updated 10 months ago
• aim-uofa / LoRAPrune
  ☆57Updated 8 months ago
• jongwooko / distillm
  Official PyTorch implementation of DistiLLM: Towards Streamlined Distillation for Large Language Models (ICML 2024)
  ☆227Updated 5 months ago
• princeton-nlp / LLM-Shearing
  [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
  ☆630Updated last year
• locuslab / massive-activations
  Code accompanying the paper "Massive Activations in Large Language Models"
  ☆176Updated last year
• hemingkx / TokenSkip
  TokenSkip: Controllable Chain-of-Thought Compression in LLMs
  ☆173Updated last month
• EnnengYang / Awesome-Model-Merging-Methods-Theories-Applications
  Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
  ☆506Updated this week
• catid / dora
  Implementation of DoRA
  ☆301Updated last year
• yule-BUAA / MergeLM
  Codebase for Merging Language Models (ICML 2024)
  ☆844Updated last year
• zyushun / Adam-mini
  Code for Adam-mini: Use Fewer Learning Rates To Gain More https://arxiv.org/abs/2406.16793
  ☆433Updated 3 months ago