Alternatives and similar repositories for ZO-LLM

Users that are interested in ZO-LLM are comparing it to the libraries listed below

• osehmathias / lisa
  LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
  ☆36Updated last year
• zyxxmu / DSnoT
  Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…
  ☆50Updated last year
• ycjing / Awesome-Model-Merging
  A curated list of Model Merging methods.
  ☆92Updated last year
• OPTML-Group / DeepZero
  [ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Di…
  ☆66Updated last year
• aim-uofa / LoRAPrune
  ☆61Updated 11 months ago
• ROIM1998 / APT
  [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
  ☆46Updated last year
• BaiTheBest / SparseLLM
  Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)
  ☆67Updated 8 months ago
• hahnyuan / ASVD4LLM
  Activation-aware Singular Value Decomposition for Compressing Large Language Models
  ☆80Updated last year
• yxli2123 / LoSparse
  ☆62Updated 2 years ago
• zyxxmu / cam
  Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference
  ☆47Updated last year
• imagination-research / EEP
  Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs
  ☆21Updated 3 weeks ago
• liyunqianggyn / Awesome-LLMs-Pruning
  Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.
  ☆134Updated 4 months ago
• biomedical-cybernetics / Relative-importance-and-activation-pruning
  ☆52Updated last year
• Lucky-Lance / Expert_Sparsity
  [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models
  ☆111Updated last year
• vectozavr / llm-hessian
  Using PyTorch autograd to compute Hessian of Perplexity for Large Language Models
  ☆26Updated 7 months ago
• falcon-xu / early-exit-papers
  A curated list of early exiting (LLM, CV, NLP, etc)
  ☆68Updated last year
• pprp / Awesome-LLM-Prune
  Awesome list for LLM pruning.
  ☆276Updated last month
• SempraETY / Pruning-via-Merging
  ☆23Updated last year
• stephenqz / OATS
  Github Repo for OATS: Outlier-Aware Pruning through Sparse and Low Rank Decomposition
  ☆15Updated 7 months ago
• UNITES-Lab / MC-SMoE
  [ICLR‘24 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"
  ☆99Updated 5 months ago
• Yanjun-Zhao / HiZOO
  Second-Order Fine-Tuning without Pain for LLMs: a Hessian Informed Zeroth-Order Optimizer
  ☆20Updated 9 months ago
• JingXuTHU / Random-Masking-Finds-Winning-Tickets-for-Parameter-Efficient-Fine-tuning
  ☆14Updated last year
• wangqinsi1 / Dobi-SVD
  Official code implementation for 2025 ICLR accepted paper "Dobi-SVD : Differentiable SVD for LLM Compression and Some New Perspectives"
  ☆49Updated last month
• lliai / Awesome-Low-Rank-Adaptation
  Awesome-Low-Rank-Adaptation
  ☆123Updated last year
• YouAreSpecialToMe / QST
  Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models
  ☆49Updated last year
• andyjm3 / SLTrain
  SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining (NeurIPS 2024)
  ☆38Updated last year
• CASE-Lab-UMD / Unified-MoE-Compression
  The official implementation of the paper "Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques (TMLR)".
  ☆83Updated 8 months ago
• Guangxuan-Xiao / GSM8K-eval
  ☆55Updated 2 years ago
• WeiHuang05 / Awesome_Large_Foundation_Model_Theory
  Welcome to the 'In Context Learning Theory' Reading Group
  ☆30Updated last year
• CASIA-LMC-Lab / FLAP
  [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models
  ☆63Updated last year