Alternatives and similar repositories for Awesome-LoRA

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

• Clin0212 / HydraLoRA
  [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
  ☆235Updated last year
• lliai / Awesome-Low-Rank-Adaptation
  Awesome-Low-Rank-Adaptation
  ☆124Updated last year
• harveyhuang18 / EMR_Merging
  [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging
  ☆74Updated 9 months ago
• EnnengYang / AdaMerging
  AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
  ☆97Updated last year
• didizhu-judy / Model-Tailor
  [ICML 2024] Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models
  ☆33Updated last year
• TUDB-Labs / MixLoRA
  State-of-the-art Parameter-Efficient MoE Fine-tuning Method
  ☆196Updated last year
• Joshua-Ren / Learning_dynamics_LLM
  ☆189Updated 7 months ago
• wutaiqiang / MoSLoRA
  ☆124Updated last year
• Purshow / Awesome-LVLM-Hallucination
  ☆55Updated last year
• Chongjie-Si / Subspace-Tuning
  A generalized framework for subspace tuning methods in parameter efficient fine-tuning.
  ☆163Updated 5 months ago
• Dereck0602 / Awesome_Test_Time_LLMs
  ☆135Updated 9 months ago
• ycjing / Awesome-Model-Merging
  A curated list of Model Merging methods.
  ☆94Updated 2 weeks ago
• uiuctml / Localize-and-Stitch
  Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic
  ☆31Updated 2 months ago
• shengliu66 / VTI
  Code for Reducing Hallucinations in Vision-Language Models via Latent Space Steering
  ☆96Updated last year
• Persdre / NeurIPS-2024-LLM-Papers
  Accepted LLM Papers in NeurIPS 2024
  ☆37Updated last year
• tanganke / weight-ensembling_MoE
  Code for paper "Merging Multi-Task Models via Weight-Ensembling Mixture of Experts"
  ☆30Updated last year
• iboing / CorDA
  CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for task-aware parameter-efficient fine-tuning(NeurIPS 2024)
  ☆53Updated 11 months ago
• fscdc / Awesome-Efficient-Reasoning-Models
  [TMLR 2025] Efficient Reasoning Models: A Survey
  ☆285Updated last month
• horseee / CoT-Valve
  CoT-Valve: Length-Compressible Chain-of-Thought Tuning
  ☆88Updated 10 months ago
• tanganke / peta
  Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"
  ☆24Updated last year
• nik-dim / tall_masks
  Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]
  ☆51Updated last year
• MingyuJ666 / Rope_with_LLM
  [ICML'25] Our study systematically investigates massive values in LLMs' attention mechanisms. First, we observe massive values are concen…
  ☆86Updated 6 months ago
• GATECH-EIC / ACT
  [ICML 2024] Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibrati…
  ☆46Updated last year
• TsinghuaC3I / SoRA
  [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models
  ☆85Updated last year
• itsqyh / Awesome-LMMs-Mechanistic-Interpretability
  A curated collection of resources focused on the Mechanistic Interpretability (MI) of Large Multimodal Models (LMMs). This repository agg…
  ☆171Updated 2 months ago
• DavidFanzz / SCMoE
  ☆28Updated last year
• AntoAndGar / task_singular_vectors
  Task Singular Vectors: Reducing Task Interference in Model Merging. Merge models avoiding task interference through separable models.
  ☆38Updated this week
• zitian-gao / one-shot-em
  One-shot Entropy Minimization
  ☆187Updated 6 months ago
• GCYZSL / MoLA
  ☆169Updated last year
• osehmathias / lisa
  LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
  ☆36Updated last year