yifanycc / loretta
[NAACL 24 Oral] LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models
☆32Updated last month
Alternatives and similar repositories for loretta:
Users that are interested in loretta are comparing it to the libraries listed below
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆60Updated 10 months ago
- ☆49Updated last year
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆51Updated last week
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆56Updated 3 months ago
- ☆13Updated 3 months ago
- Official PyTorch implementation of IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact☆40Updated 8 months ago
- Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference☆32Updated 8 months ago
- [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models☆82Updated 8 months ago
- A block pruning framework for LLMs.☆17Updated 8 months ago
- ☆17Updated 2 months ago
- SQUEEZED ATTENTION: Accelerating Long Prompt LLM Inference☆40Updated 3 months ago
- The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":☆35Updated 10 months ago
- Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs☆78Updated 2 months ago
- Official implementation for LaCo (EMNLP 2024 Findings)☆12Updated 4 months ago
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆43Updated 10 months ago
- ☆19Updated last year
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆34Updated 8 months ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆43Updated last year
- The Official Implementation of Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference☆58Updated 3 weeks ago
- Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models☆42Updated 3 months ago
- code for ACL24 "MELoRA: Mini-Ensemble Low-Rank Adapter for Parameter-Efficient Fine-Tuning"☆16Updated this week
- [EMNLP 2023 Main] Sparse Low-rank Adaptation of Pre-trained Language Models☆72Updated 11 months ago
- [ICLR 2025] SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration☆37Updated 2 months ago
- [ICLR 2024] Jaiswal, A., Gan, Z., Du, X., Zhang, B., Wang, Z., & Yang, Y. Compressing llms: The truth is rarely pure and never simple.☆20Updated 11 months ago
- ☆36Updated 5 months ago
- Official code for the paper "Examining Post-Training Quantization for Mixture-of-Experts: A Benchmark"☆10Updated 7 months ago
- ☆47Updated 2 months ago
- [EMNLP 2024] Quantize LLM to extremely low-bit, and finetune the quantized LLMs☆12Updated 7 months ago
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆31Updated 4 months ago