Alternatives and similar repositories for Model-Tailor

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

• Yuheng2000 / Awesome-LoRA
  Awesome Low-Rank Adaptation
  ☆55Updated 4 months ago
• EnnengYang / AdaMerging
  AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
  ☆97Updated last year
• Purshow / Awesome-LVLM-Hallucination
  ☆54Updated last year
• harveyhuang18 / EMR_Merging
  [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging
  ☆72Updated 9 months ago
• hanshen95 / SEAL
  An implementation of SEAL: Safety-Enhanced Aligned LLM fine-tuning via bilevel data selection.
  ☆22Updated 9 months ago
• lliai / Awesome-Low-Rank-Adaptation
  Awesome-Low-Rank-Adaptation
  ☆123Updated last year
• EnnengYang / Awesome-Forgetting-in-Deep-Learning
  A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.
  ☆339Updated last month
• git-disl / Booster
  This is the official code for the paper "Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturba…
  ☆33Updated 8 months ago
• NOVAglow646 / OOD-Generalization-Paper-Reading-Notes
  OOD Generalization相关文章的阅读笔记
  ☆34Updated 11 months ago
• Clin0212 / HydraLoRA
  [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
  ☆234Updated last year
• fangjf1 / OpenSafeMLRM
  The first toolkit for MLRM safety evaluation, providing unified interface for mainstream models, datasets, and jailbreaking methods!
  ☆14Updated 7 months ago
• Ghy0501 / Awesome-Continual-Learning-in-Generative-Models
  A Comprehensive Survey on Continual Learning in Generative Models.
  ☆92Updated last month
• tmlr-group / NoisyRationales
  [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"
  ☆37Updated 4 months ago
• tanganke / weight-ensembling_MoE
  Code for paper "Merging Multi-Task Models via Weight-Ensembling Mixture of Experts"
  ☆30Updated last year
• ZO-Bench / ZO-LLM
  [ICML‘24] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".
  ☆119Updated 5 months ago
• uiuctml / Localize-and-Stitch
  Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic
  ☆31Updated 2 months ago
• WangCheng0116 / Awesome-LRMs-Safety
  Official repository for "Safety in Large Reasoning Models: A Survey" - Exploring safety risks, attacks, and defenses for Large Reasoning …
  ☆82Updated 3 months ago
• arumaekawa / DiLM
  Implementaiton of "DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation" (accepted by NAACL2024 Findings)".
  ☆25Updated 9 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
• NUS-HPC-AI-Lab / DATM
  ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
  ☆104Updated last year
• LucyDYu / Awesome-Multimodal-Continual-Learning
  ☆147Updated last year
• zackschen / CoIN
  Instruction Tuning in Continual Learning paradigm
  ☆66Updated 10 months ago
• rui-ye / FedLLM-Bench
  ☆112Updated last year
• StyxXuan / LoraRetriever
  ☆13Updated 7 months ago
• qianlima-lab / awesome-lifelong-learning-methods-for-llm
  This repository collects awesome survey, resource, and paper for Lifelong Learning for Large Language Models. (Updated Regularly)
  ☆68Updated 6 months ago
• shaoshitong / G_VBSM_Dataset_Condensation
  [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)
  ☆28Updated last year
• tanganke / fusion_bench
  FusionBench: A Comprehensive Benchmark/Toolkit of Deep Model Fusion
  ☆188Updated last week
• xirui-li / MOSSBench
  An implementation for MLLM oversensitivity evaluation
  ☆17Updated last year
• gszfwsb / Awesome-Dataset-Reduction
  A curated list of awesome papers on dataset reduction, including dataset distillation (dataset condensation) and dataset pruning (coreset…
  ☆58Updated 10 months ago