ZO-Bench / ZO-LLM
[ICML 2024] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".
☆91Updated 8 months ago
Alternatives and similar repositories for ZO-LLM:
Users that are interested in ZO-LLM are comparing it to the libraries listed below
- ☆48Updated 3 months ago
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆45Updated 11 months ago
- [ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Di…☆52Updated 5 months ago
- Official code for the paper "Examining Post-Training Quantization for Mixture-of-Experts: A Benchmark"☆13Updated 8 months ago
- A curated list of Model Merging methods.☆90Updated 6 months ago
- ☆50Updated last year
- LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning☆28Updated 11 months ago
- [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models☆85Updated 10 months ago
- Awesome-Low-Rank-Adaptation☆83Updated 5 months ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆59Updated 5 months ago
- [ICLR 2024 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"☆74Updated 9 months ago
- Code for "ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models" (ICLR 2024)☆19Updated last year
- Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs☆16Updated 3 months ago
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆52Updated 3 weeks ago
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆40Updated 5 months ago
- Official Pytorch Implementation of "OwLore: Outlier-weighed Layerwise Sampled Low-Rank Projection for Memory-Efficient LLM Fine-tuning" b…☆31Updated 9 months ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆44Updated last year
- SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining (NeurIPS 2024)☆30Updated 4 months ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆147Updated 5 months ago
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆76Updated 3 months ago
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆33Updated 9 months ago
- [NeurIPS 2023 Spotlight] Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training☆34Updated last year
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆63Updated 11 months ago
- Preprint: Asymmetry in Low-Rank Adapters of Foundation Models☆35Updated last year
- Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models☆43Updated 4 months ago
- Official implementation for Yuan & Liu & Zhong et al., KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark o…☆67Updated 3 weeks ago
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆70Updated 4 months ago
- Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference☆35Updated 9 months ago
- Welcome to the 'In Context Learning Theory' Reading Group☆28Updated 4 months ago
- SQUEEZED ATTENTION: Accelerating Long Prompt LLM Inference☆45Updated 4 months ago