Alternatives and similar repositories for Localize-and-Stitch:

Users that are interested in Localize-and-Stitch 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]
  ☆39Updated 3 months ago
• EnnengYang / AdaMerging
  AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
  ☆64Updated 3 months ago
• harveyhuang18 / EMR_Merging
  [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging
  ☆44Updated 3 months ago
• EnnengYang / RepresentationSurgery
  Representation Surgery for Multi-Task Model Merging. ICML, 2024.
  ☆37Updated 4 months ago
• tmlr-group / NoisyRationales
  [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"
  ☆31Updated last month
• AlexanderVNikitin / kernel-language-entropy
  Code for Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities (NeurIPS'24)
  ☆16Updated last month
• gortizji / tangent_task_arithmetic
  Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".
  ☆93Updated last year
• tanganke / peta
  Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"
  ☆18Updated 5 months ago
• abhishekpanigrahi1996 / Skill-Localization-by-grafting
  ☆48Updated last year
• swj0419 / muse_bench
  ☆20Updated 7 months ago
• hkust-nlp / PEM_composition
  [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"
  ☆59Updated last year
• licong-lin / negative-preference-optimization
  ☆45Updated 7 months ago
• which47 / LLMCL
  Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning
  ☆29Updated 2 months ago
• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆52Updated 4 months ago
• git-disl / Lisa
  This is the official code for the paper "Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning" (NeurIPS2024)
  ☆15Updated 5 months ago
• yule-BUAA / MergeLLM
  Codes for Merging Large Language Models
  ☆29Updated 6 months ago
• JingXuTHU / Random-Masking-Finds-Winning-Tickets-for-Parameter-Efficient-Fine-tuning
  ☆13Updated 9 months ago
• git-disl / Vaccine
  This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)
  ☆35Updated 2 months ago
• LZY-the-boys / Twin-Merging
  [NeurIPS2024] Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging
  ☆48Updated 2 months ago
• Unispac / shallow-vs-deep-alignment
  Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep
  ☆70Updated 7 months ago
• OPTML-Group / SOUL
  Official repo for EMNLP'24 paper "SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning"
  ☆17Updated 4 months ago
• mmatena / model_merging
  ☆63Updated 2 years ago
• ruz048 / AutoLoRA
  ☆9Updated 10 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…
  ☆15Updated last month
• ykwon0407 / DataInf
  DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)
  ☆62Updated 4 months ago
• circle-hit / SAPT
  Code for ACL 2024 accepted paper titled "SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language …
  ☆29Updated last month
• arumaekawa / DiLM
  Implementaiton of "DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation" (accepted by NAACL2024 Findings)".
  ☆16Updated this week
• boyiwei / alignment-attribution-code
  [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
  ☆68Updated 4 months ago
• srzer / MOD
  Official code for "Decoding-Time Language Model Alignment with Multiple Objectives".
  ☆18Updated 3 months ago