Alternatives and similar repositories for pcb-merging

Users that are interested in pcb-merging are comparing it to the libraries listed below

• yule-BUAA / MergeLLM
  Codes for Merging Large Language Models
  ☆33Updated last year
• harveyhuang18 / EMR_Merging
  [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging
  ☆69Updated 7 months ago
• wutaiqiang / MoSLoRA
  ☆116Updated last year
• mrflogs / LoRA-Pro
  Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "
  ☆132Updated 6 months ago
• Chaos96 / fourierft
  ☆147Updated last year
• QingyangZhang / EMPO
  [NeurIPS25 Spotlight] EMPO, A Fully Unsupervised RLVR Method
  ☆68Updated this week
• TsinghuaC3I / SoRA
  [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models
  ☆82Updated last year
• horseee / CoT-Valve
  CoT-Valve: Length-Compressible Chain-of-Thought Tuning
  ☆86Updated 8 months ago
• OpenSparseLLMs / LLaMA-MoE-v2
  🚀 LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training
  ☆87Updated 10 months ago
• RainBowLuoCS / DEEM
  (ICLR 2025 Spotlight) DEEM: Official implementation of Diffusion models serve as the eyes of large language models for image perception.
  ☆40Updated 3 months ago
• DavidFanzz / SCMoE
  ☆28Updated last year
• GCYZSL / MoLA
  ☆160Updated last year
• Chongjie-Si / Subspace-Tuning
  A generalized framework for subspace tuning methods in parameter efficient fine-tuning.
  ☆154Updated 3 months ago
• TUDB-Labs / MixLoRA
  State-of-the-art Parameter-Efficient MoE Fine-tuning Method
  ☆191Updated last year
• which47 / LLMCL
  Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning
  ☆35Updated 11 months ago
• TUDB-Labs / MoE-PEFT
  An Efficient LLM Fine-Tuning Factory Optimized for MoE PEFT
  ☆124Updated 7 months ago
• gyhdog99 / MoCLE
  MoCLE (First MLLM with MoE for instruction customization and generalization!) (https://arxiv.org/abs/2312.12379)
  ☆44Updated 3 months ago
• MrGGLS / BlockPruner
  A block pruning framework for LLMs.
  ☆27Updated 5 months ago
• declare-lab / della
  DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling
  ☆36Updated last year
• aeroplanepaper / GRPO-LEAD
  ☆26Updated 3 weeks ago
• EnnengYang / RepresentationSurgery
  Representation Surgery for Multi-Task Model Merging. ICML, 2024.
  ☆46Updated last year
• iboing / CorDA
  CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for task-aware parameter-efficient fine-tuning(NeurIPS 2024)
  ☆52Updated 9 months ago
• RUCBM / DeepCritic
  Official repository for paper "DeepCritic: Deliberate Critique with Large Language Models"
  ☆37Updated 3 months ago
• GATECH-EIC / ACT
  [ICML 2024] Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibrati…
  ☆44Updated last year
• Kevinz-code / SeVa
  [MM2024, oral] "Self-Supervised Visual Preference Alignment" https://arxiv.org/abs/2404.10501
  ☆57Updated last year
• EnnengYang / AdaMerging
  AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
  ☆92Updated 11 months ago
• chuanyang-Zheng / DAPE
  The this is the official implementation of "DAPE: Data-Adaptive Positional Encoding for Length Extrapolation"
  ☆40Updated last year
• Clin0212 / HydraLoRA
  [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
  ☆227Updated 10 months ago
• MingyuJ666 / Rope_with_LLM
  [ICML'25] Our study systematically investigates massive values in LLMs' attention mechanisms. First, we observe massive values are concen…
  ☆79Updated 3 months ago
• waltonfuture / MM-UPT
  [NeurIPS 2025] Unsupervised Post-Training for Multi-Modal LLM Reasoning via GRPO
  ☆56Updated last month