ZO-Bench / ZO-LLMLinks
[ICML 2024] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".
☆104Updated 11 months ago
Alternatives and similar repositories for ZO-LLM
Users that are interested in ZO-LLM are comparing it to the libraries listed below
Sorting:
- [ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Di…☆57Updated 7 months ago
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆47Updated last year
- ☆54Updated 5 months ago
- LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning☆31Updated last year
- ☆56Updated last year
- ☆13Updated last year
- Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs☆16Updated 5 months ago
- Official code for the paper "Examining Post-Training Quantization for Mixture-of-Experts: A Benchmark"☆20Updated 11 months ago
- A curated list of Model Merging methods.☆91Updated 8 months ago
- Preprint: Asymmetry in Low-Rank Adapters of Foundation Models☆35Updated last year
- Awesome-Low-Rank-Adaptation☆102Updated 7 months ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆67Updated 7 months ago
- Code for the paper: Why Transformers Need Adam: A Hessian Perspective☆59Updated 2 months ago
- [ICLR 2024 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"☆84Updated 11 months ago
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆61Updated 2 months ago
- ☆22Updated 6 months ago
- [ICML 2024] SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models☆21Updated last year
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆59Updated 3 months ago
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆65Updated last year
- SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining (NeurIPS 2024)☆31Updated 7 months ago
- ☆43Updated 11 months ago
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆39Updated last year
- Official code implementation for 2025 ICLR accepted paper "Dobi-SVD : Differentiable SVD for LLM Compression and Some New Perspectives"☆31Updated 2 months ago
- [NeurIPS 2023 Spotlight] Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training☆35Updated last month
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆51Updated last year
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆161Updated 8 months ago
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆82Updated 7 months ago
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆100Updated last year
- [ICLR 2025] Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models☆97Updated 3 months ago
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆88Updated 5 months ago