Alternatives and similar repositories for Awesome-Model-Merging

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

• harveyhuang18 / EMR_Merging
  [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging
  ☆69Updated 7 months ago
• EnnengYang / AdaMerging
  AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
  ☆90Updated 11 months ago
• TsinghuaC3I / SoRA
  [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models
  ☆83Updated last year
• osehmathias / lisa
  LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
  ☆35Updated last year
• nik-dim / tall_masks
  Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]
  ☆50Updated 11 months ago
• prateeky2806 / ties-merging
  ☆192Updated last year
• locuslab / massive-activations
  Code accompanying the paper "Massive Activations in Large Language Models"
  ☆183Updated last year
• sail-sg / Attention-Sink
  [ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)
  ☆125Updated 2 months ago
• EnnengYang / RepresentationSurgery
  Representation Surgery for Multi-Task Model Merging. ICML, 2024.
  ☆46Updated 11 months ago
• lliai / LoRA-Zoo
  Awesome-Low-Rank-Adaptation
  ☆118Updated 11 months ago
• ZO-Bench / ZO-LLM
  [ICML‘24] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".
  ☆111Updated 3 months ago
• aim-uofa / LoRAPrune
  ☆59Updated 9 months ago
• Chaos96 / fourierft
  ☆148Updated last year
• tanganke / weight-ensembling_MoE
  Code for paper "Merging Multi-Task Models via Weight-Ensembling Mixture of Experts"
  ☆29Updated last year
• bethgelab / sober-reasoning
  A Sober Look at Language Model Reasoning
  ☆83Updated this week
• MohammadrezaBanaei / LoRA-XS
  LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters
  ☆42Updated 2 months ago
• tanganke / peta
  Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"
  ☆21Updated last year
• TUDB-Labs / MixLoRA
  State-of-the-art Parameter-Efficient MoE Fine-tuning Method
  ☆188Updated last year
• r-three / smear
  ☆30Updated 2 years ago
• kyrie-23 / linear_task_arithmetic
  ☆11Updated 2 months ago
• ruthless-man / Awesome-Learn-from-Model
  Awesome Learn From Model Beyond Fine-Tuning: A Survey
  ☆74Updated 9 months ago
• Chongjie-Si / Subspace-Tuning
  A generalized framework for subspace tuning methods in parameter efficient fine-tuning.
  ☆155Updated 3 months ago
• Dereck0602 / Awesome_Test_Time_LLMs
  ☆127Updated 6 months ago
• haonan3 / AnchorContext
  AnchorAttention: Improved attention for LLMs long-context training
  ☆212Updated 8 months ago
• gortizji / tangent_task_arithmetic
  Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".
  ☆105Updated 2 years ago
• Clin0212 / HydraLoRA
  [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
  ☆222Updated 10 months ago
• TUDB-Labs / MoE-PEFT
  An Efficient LLM Fine-Tuning Factory Optimized for MoE PEFT
  ☆120Updated 6 months ago
• mrflogs / LoRA-Pro
  Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "
  ☆132Updated 5 months ago
• nbasyl / DoRA
  Official implementation of "DoRA: Weight-Decomposed Low-Rank Adaptation"
  ☆124Updated last year
• Joshua-Ren / Learning_dynamics_LLM
  ☆167Updated 4 months ago