Alternatives and similar repositories for EMR_Merging

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

• EnnengYang / AdaMerging
  AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
  ☆90Updated 11 months ago
• nik-dim / tall_masks
  Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]
  ☆50Updated 11 months ago
• TsinghuaC3I / SoRA
  [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models
  ☆83Updated last year
• GATECH-EIC / ACT
  [ICML 2024] Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibrati…
  ☆44Updated last year
• tanganke / peta
  Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"
  ☆21Updated last year
• EnnengYang / RepresentationSurgery
  Representation Surgery for Multi-Task Model Merging. ICML, 2024.
  ☆46Updated 11 months ago
• tanganke / weight-ensembling_MoE
  Code for paper "Merging Multi-Task Models via Weight-Ensembling Mixture of Experts"
  ☆29Updated last year
• yule-BUAA / MergeLLM
  Codes for Merging Large Language Models
  ☆33Updated last year
• ycjing / Awesome-Model-Merging
  A curated list of Model Merging methods.
  ☆92Updated last year
• r-three / smear
  ☆30Updated 2 years ago
• adymaharana / d2pruning
  ☆38Updated last year
• iboing / CorDA
  CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for task-aware parameter-efficient fine-tuning(NeurIPS 2024)
  ☆51Updated 8 months ago
• osehmathias / lisa
  LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
  ☆35Updated last year
• AntoAndGar / task_singular_vectors
  Task Singular Vectors: Reducing Task Interference in Model Merging. Merge models avoiding task interference through separable models.
  ☆31Updated 2 months ago
• DavidFanzz / SCMoE
  ☆28Updated last year
• lliai / LoRA-Zoo
  Awesome-Low-Rank-Adaptation
  ☆118Updated 11 months ago
• sail-sg / Attention-Sink
  [ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)
  ☆125Updated 2 months ago
• SempraETY / Pruning-via-Merging
  ☆20Updated 10 months ago
• locuslab / massive-activations
  Code accompanying the paper "Massive Activations in Large Language Models"
  ☆183Updated last year
• horseee / CoT-Valve
  CoT-Valve: Length-Compressible Chain-of-Thought Tuning
  ☆86Updated 7 months ago
• kyrie-23 / linear_task_arithmetic
  ☆11Updated 2 months ago
• pixeli99 / OWS
  Official Pytorch Implementation of "Outlier-weighed Layerwise Sampling for LLM Fine-tuning" by Pengxiang Li, Lu Yin, Xiaowei Gao, Shiwei …
  ☆34Updated 4 months ago
• which47 / LLMCL
  Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning
  ☆34Updated 10 months ago
• uiuctml / Localize-and-Stitch
  Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic
  ☆29Updated 2 weeks ago
• zitian-gao / one-shot-em
  One-shot Entropy Minimization
  ☆185Updated 3 months ago
• aim-uofa / LoRAPrune
  ☆59Updated 9 months ago
• haiquanlu / AlphaPruning
  [NeurIPS 2024] AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models
  ☆27Updated 3 months ago
• duguodong7 / pcb-merging
  [NeurIPS 2024] For paper Parameter Competition Balancing for Model Merging
  ☆45Updated 11 months ago
• Dereck0602 / Awesome_Test_Time_LLMs
  ☆127Updated 6 months ago
• VITA-Group / SEAL
  Official code for SEAL: Steerable Reasoning Calibration of Large Language Models for Free
  ☆42Updated 6 months ago