Alternatives and similar repositories for peta

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

• nik-dim / tall_masks
  Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]
  ☆44Updated 7 months ago
• EnnengYang / RepresentationSurgery
  Representation Surgery for Multi-Task Model Merging. ICML, 2024.
  ☆45Updated 7 months ago
• EnnengYang / AdaMerging
  AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
  ☆82Updated 7 months ago
• harveyhuang18 / EMR_Merging
  [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging
  ☆59Updated 3 months ago
• tanganke / opcm
  ☆12Updated 4 months ago
• which47 / LLMCL
  Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning
  ☆31Updated 6 months ago
• uiuctml / Localize-and-Stitch
  Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic
  ☆25Updated 4 months ago
• SempraETY / Pruning-via-Merging
  ☆18Updated 6 months ago
• gortizji / tangent_task_arithmetic
  Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".
  ☆102Updated last year
• MrGGLS / BlockPruner
  A block pruning framework for LLMs.
  ☆23Updated 2 weeks ago
• GATECH-EIC / ACT
  [ICML 2024] Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibrati…
  ☆38Updated 11 months ago
• yule-BUAA / MergeLLM
  Codes for Merging Large Language Models
  ☆31Updated 9 months ago
• AntoAndGar / task_singular_vectors
  Task Singular Vectors: Reducing Task Interference in Model Merging. Merge models avoiding task interference through separable models.
  ☆14Updated last week
• zyxxmu / DSnoT
  Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…
  ☆47Updated last year
• tanganke / weight-ensembling_MoE
  Code for paper "Merging Multi-Task Models via Weight-Ensembling Mixture of Experts"
  ☆24Updated 11 months ago
• Shwai-He / SparseAdapter
  Source code of EMNLP 2022 Findings paper "SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters"
  ☆18Updated last year
• simplelifetime / TIVE
  Less is More: High-value Data Selection for Visual Instruction Tuning
  ☆13Updated 4 months ago
• VITA-Group / SEAL
  Official code for SEAL: Steerable Reasoning Calibration of Large Language Models for Free
  ☆25Updated last month
• Model-GLUE / Model-GLUE
  ☆15Updated 9 months ago
• arumaekawa / DiLM
  Implementaiton of "DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation" (accepted by NAACL2024 Findings)".
  ☆21Updated 3 months ago
• TsinghuaC3I / SoRA
  [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models
  ☆76Updated last year
• TianyunYoung / Hallucination-Attribution
  This repo contains the code for the paper "Understanding and Mitigating Hallucinations in Large Vision-Language Models via Modular Attrib…
  ☆15Updated 2 months ago
• hkust-nlp / PEM_composition
  [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"
  ☆61Updated last year
• JingXuTHU / Random-Masking-Finds-Winning-Tickets-for-Parameter-Efficient-Fine-tuning
  ☆13Updated last year
• keven980716 / weak-to-strong-deception
  [ICLR 2025] Code&Data for the paper "Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization"
  ☆13Updated 11 months ago
• git-disl / Booster
  This is the official code for the paper "Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturba…
  ☆27Updated 2 months ago
• aim-uofa / LoRAPrune
  ☆54Updated 5 months ago
• Pbihao / SLM
  ☆27Updated last year
• abhishekpanigrahi1996 / Skill-Localization-by-grafting
  ☆49Updated last year
• NUS-HPC-AI-Lab / DD-Ranking
  Data distillation benchmark
  ☆64Updated this week