Alternatives and similar repositories for training_free_model_merging

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

• ggjy / vision_weak_to_strong
  ☆38Updated last year
• TencentARC / pi-Tuning
  Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.
  ☆33Updated 2 years ago
• facebookresearch / ViP-MAE
  This is a PyTorch implementation of the paperViP A Differentially Private Foundation Model for Computer Vision
  ☆36Updated 2 years ago
• locuslab / T-MARS
  Code for T-MARS data filtering
  ☆35Updated last year
• locuslab / llava-token-compression
  ☆43Updated 9 months ago
• wmn-231314 / diffusion-data-constraint
  ☆41Updated 2 weeks ago
• csarron / PuMer
  [ACL 2023] PuMer: Pruning and Merging Tokens for Efficient Vision Language Models
  ☆32Updated 10 months ago
• OpenGVLab / DiffAgent
  [CVPR 2024] DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model
  ☆17Updated last year
• jiquan123 / TIER
  TIER: Text-Image Encoder-based Regression for AIGC Image Quality Assessment
  ☆9Updated 5 months ago
• UCDvision / NOLA
  Code for NOLA, an implementation of "nola: Compressing LoRA using Linear Combination of Random Basis"
  ☆55Updated 11 months ago
• techmonsterwang / iLLaMA
  Adapting LLaMA Decoder to Vision Transformer
  ☆29Updated last year
• OliverRensu / DeepMIM
  [WACV2025 Oral] DeepMIM: Deep Supervision for Masked Image Modeling
  ☆53Updated 2 months ago
• KD-TAO / VidKV
  VidKV: Plug-and-Play 1.x-Bit KV Cache Quantization for Video Large Language Models
  ☆22Updated 4 months ago
• ExplainableML / fomo_in_flux
  Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]
  ☆57Updated 7 months ago
• OpenGVLab / LLMPrune-BESA
  BESA is a differentiable weight pruning technique for large language models.
  ☆17Updated last year
• VILA-Lab / i-mae
  i-mae Pytorch Repo
  ☆19Updated last year
• OpenGVLab / Multitask-Model-Selector
  [NIPS2023]Implementation of Foundation Model is Efficient Multimodal Multitask Model Selector
  ☆37Updated last year
• xiangyu-mm / EasyGen
  The official code for paper "EasyGen: Easing Multimodal Generation with a Bidirectional Conditional Diffusion Model and LLMs"
  ☆74Updated 8 months ago
• sail-sg / ScaleLong
  The official repository of paper "ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection" (N…
  ☆50Updated last year
• hammoudhasan / DiversitySSL
  Original code base for On Pretraining Data Diversity for Self-Supervised Learning
  ☆13Updated 7 months ago
• james-oldfield / muMoE
  [NeurIPS'24] Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization
  ☆33Updated 10 months ago
• jonkahana / CLIPPR
  An official PyTorch implementation for CLIPPR
  ☆29Updated 2 years ago
• roymiles / VeLoRA
  [NeurIPS 2024] VeLoRA : Memory Efficient Training using Rank-1 Sub-Token Projections
  ☆21Updated 9 months ago
• VILA-Lab / GBLM-Pruner
  Are gradient information useful for pruning of LLMs?
  ☆46Updated last year
• pixeli99 / MixLN
  [ICLR 2025] Official Pytorch Implementation of "Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN" by Pengxia…
  ☆25Updated 2 weeks ago
• bwconrad / soft-moe
  PyTorch implementation of "From Sparse to Soft Mixtures of Experts"
  ☆60Updated last year
• layer6ai-labs / fusemix
  Data-Efficient Multimodal Fusion on a Single GPU
  ☆66Updated last year
• Adamdad / Repfusion
  ☆56Updated last year
• mrflogs / LoRA-Pro
  Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "
  ☆127Updated 4 months ago
• gstoica27 / KnOTS
  Model Merging with SVD to Tie the KnOTS [ICLR 2025]
  ☆62Updated 4 months ago