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
  ☆35Updated 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…
  ☆49Updated last year
• aim-uofa / LoRAPrune
  ☆58Updated 9 months ago
• 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 11 months ago
• ROIM1998 / APT
  [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
  ☆44Updated last year
• hahnyuan / ASVD4LLM
  Activation-aware Singular Value Decomposition for Compressing Large Language Models
  ☆78Updated 10 months ago
• ycjing / Awesome-Model-Merging
  A curated list of Model Merging methods.
  ☆92Updated last year
• yxli2123 / LoSparse
  ☆59Updated last year
• liyunqianggyn / Awesome-LLMs-Pruning
  Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.
  ☆121Updated last month
• lliai / LoRA-Zoo
  Awesome-Low-Rank-Adaptation
  ☆115Updated 11 months ago
• imagination-research / EEP
  Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs
  ☆18Updated 9 months ago
• LINs-lab / DynMoE
  [ICLR 2025] Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
  ☆129Updated 2 months ago
• BaiTheBest / SparseLLM
  Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)
  ☆65Updated 5 months ago
• UNITES-Lab / MoE-Quantization
  Official code for the paper "Examining Post-Training Quantization for Mixture-of-Experts: A Benchmark"
  ☆22Updated 2 months ago
• WeiHuang05 / Awesome_Large_Foundation_Model_Theory
  Welcome to the 'In Context Learning Theory' Reading Group
  ☆30Updated 10 months ago
• pixeli99 / OWS
  Official Pytorch Implementation of "Outlier-weighed Layerwise Sampling for LLM Fine-tuning" by Pengxiang Li, Lu Yin, Xiaowei Gao, Shiwei …
  ☆34Updated 3 months ago
• UNITES-Lab / MC-SMoE
  [ICLR 2024 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"
  ☆93Updated 2 months ago
• JingXuTHU / Random-Masking-Finds-Winning-Tickets-for-Parameter-Efficient-Fine-tuning
  ☆14Updated 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
  ☆101Updated last year
• TianjinYellow / EdgeDeviceLLMCompetition-Starting-Kit
  ☆43Updated 10 months ago
• SempraETY / Pruning-via-Merging
  ☆20Updated 9 months ago
• nik-dim / tall_masks
  Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]
  ☆49Updated 10 months ago
• Hsu1023 / DuQuant
  [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.
  ☆165Updated 11 months ago
• CASIA-IVA-Lab / FLAP
  [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models
  ☆61Updated last year
• biomedical-cybernetics / Relative-importance-and-activation-pruning
  ☆51Updated last year
• zyxxmu / cam
  Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference
  ☆44Updated last year
• IST-DASLab / EvoPress
  ☆28Updated last month
• stephenqz / OATS
  Github Repo for OATS: Outlier-Aware Pruning through Sparse and Low Rank Decomposition
  ☆13Updated 5 months ago
• EnnengYang / RepresentationSurgery
  Representation Surgery for Multi-Task Model Merging. ICML, 2024.
  ☆46Updated 11 months ago
• Yanjun-Zhao / HiZOO
  Second-Order Fine-Tuning without Pain for LLMs: a Hessian Informed Zeroth-Order Optimizer
  ☆19Updated 7 months ago