ZhengaoLi / DISP-LLM-Dimension-Independent-Structural-PruningLinks
An implementation of the DISP-LLM method from the NeurIPS 2024 paper: Dimension-Independent Structural Pruning for Large Language Models.
☆22Updated 3 months ago
Alternatives and similar repositories for DISP-LLM-Dimension-Independent-Structural-Pruning
Users that are interested in DISP-LLM-Dimension-Independent-Structural-Pruning are comparing it to the libraries listed below
Sorting:
- ☆52Updated last year
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆73Updated 4 months ago
- ☆11Updated 3 weeks ago
- Awesome list for LLM pruning.☆272Updated 3 weeks ago
- ☆11Updated 2 years ago
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆131Updated 3 months ago
- A curated list of early exiting (LLM, CV, NLP, etc)☆67Updated last year
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆173Updated last year
- ☆61Updated 2 years ago
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆66Updated last year
- Github Repo for OATS: Outlier-Aware Pruning through Sparse and Low Rank Decomposition☆15Updated 6 months ago
- [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers☆192Updated 2 years ago
- Code Repository of Evaluating Quantized Large Language Models☆135Updated last year
- Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs☆21Updated 10 months ago
- Official implementation for Yuan & Liu & Zhong et al., KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark o…☆86Updated 8 months ago
- [ICML‘24] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".☆113Updated 4 months ago
- ☆43Updated 3 years ago
- This repo contains the code for studying the interplay between quantization and sparsity methods☆23Updated 8 months ago
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆129Updated 2 years ago
- This repository contains integer operators on GPUs for PyTorch.☆221Updated 2 years ago
- ☆21Updated last year
- ☆36Updated 3 months ago
- ☆24Updated 11 months ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆331Updated last month
- Curated collection of papers in MoE model inference☆296Updated 3 weeks ago
- Spec-Bench: A Comprehensive Benchmark and Unified Evaluation Platform for Speculative Decoding (ACL 2024 Findings)☆328Updated 6 months ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆62Updated last year
- Official code implementation for 2025 ICLR accepted paper "Dobi-SVD : Differentiable SVD for LLM Compression and Some New Perspectives"☆47Updated 3 weeks ago
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆81Updated 7 months ago
- ☆345Updated last year