Alternatives and similar repositories for d2pruning

Users that are interested in d2pruning are comparing it to the libraries listed below

• r-three / smear
  ☆30Updated 2 years ago
• qiuzh20 / EMoE
  Official PyTorch Implementation of EMoE: Unlocking Emergent Modularity in Large Language Models [main conference @ NAACL2024]
  ☆39Updated last year
• ShiZhengyan / DePT
  [ICLR 2024] This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"
  ☆101Updated last year
• hkust-nlp / PEM_composition
  [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"
  ☆61Updated 2 years ago
• harveyhuang18 / EMR_Merging
  [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging
  ☆76Updated 11 months ago
• TsinghuaC3I / SoRA
  [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models
  ☆84Updated last year
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆62Updated last year
• prateeky2806 / ties-merging
  ☆209Updated 2 years ago
• BaohaoLiao / mefts
  [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
  ☆33Updated 2 years ago
• Thartvigsen / GRACE
  [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
  ☆83Updated last year
• zjysteven / mink-plus-plus
  [ICLR'25 Spotlight] Min-K%++: Improved baseline for detecting pre-training data of LLMs
  ☆52Updated 8 months ago
• cxcscmu / MATES
  Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]
  ☆79Updated last year
• EnnengYang / RepresentationSurgery
  Representation Surgery for Multi-Task Model Merging. ICML, 2024.
  ☆47Updated last year
• yule-BUAA / MergeLLM
  Codes for Merging Large Language Models
  ☆35Updated last year
• EnnengYang / AdaMerging
  AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
  ☆99Updated last year
• UKPLab / iclr2024-model-merging
  This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.
  ☆29Updated last year
• princeton-nlp / Edge-Pruning
  [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".
  ☆64Updated 5 months ago
• socialfoundations / tttlm
  Test-time-training on nearest neighbors for large language models
  ☆49Updated last year
• ChaosCodes / ProPETL
  One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning
  ☆40Updated 2 years ago
• MadryLab / DsDm
  ☆51Updated 2 years ago
• VITA-Group / Random-MoE-as-Dropout
  [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…
  ☆56Updated 2 years ago
• mmatena / model_merging
  ☆80Updated 3 years ago
• BeyonderXX / TRACE
  TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models
  ☆87Updated 2 years ago
• kamanphoebe / Look-into-MoEs
  [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models
  ☆60Updated last year
• dannyallover / overthinking_the_truth
  ☆29Updated last year
• shizhediao / Black-Box-Prompt-Learning
  Source code for the TMLR paper "Black-Box Prompt Learning for Pre-trained Language Models"
  ☆57Updated 2 years ago
• JasonForJoy / Model-Editing-Hurt
  EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue
  ☆38Updated 8 months ago
• Pranjal2041 / AdaptiveConsistency
  Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning with LLMs
  ☆40Updated 2 years ago
• VITA-Group / Junk_DNA_Hypothesis
  [ICML 2024] Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity; Lu Yin*, Ajay Jaiswal*, Shiwei Liu, So…
  ☆16Updated 9 months ago
• avalonstrel / Mitigating-the-Alignment-Tax-of-RLHF
  ☆16Updated 2 years ago