parsa-epfl / quantization-sparsity-interplayLinks
This repo contains the code for studying the interplay between quantization and sparsity methods
☆22Updated 6 months ago
Alternatives and similar repositories for quantization-sparsity-interplay
Users that are interested in quantization-sparsity-interplay are comparing it to the libraries listed below
Sorting:
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆48Updated 2 years ago
- LLM Inference with Microscaling Format☆31Updated 10 months ago
- Code Repository of Evaluating Quantized Large Language Models☆131Updated last year
- ☆24Updated 9 months ago
- ☆22Updated 10 months ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆46Updated last year
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆65Updated last year
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆31Updated last year
- Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs☆18Updated 9 months ago
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆115Updated 2 months ago
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆38Updated 11 months ago
- AFPQ code implementation☆22Updated last year
- The official implementation of the ICML 2023 paper OFQ-ViT☆33Updated last year
- ☆66Updated last month
- DeiT implementation for Q-ViT☆24Updated 4 months ago
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆73Updated 2 months ago
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆65Updated 5 months ago
- ☆51Updated last year
- A collection of research papers on efficient training of DNNs☆69Updated 3 years ago
- ☆44Updated last year
- Codebase for ICML'24 paper: Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs☆27Updated last year
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆148Updated 3 months ago
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆62Updated last month
- ☆76Updated 3 years ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆39Updated last year
- ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization☆111Updated 11 months ago
- ☆29Updated last year
- ☆51Updated last year
- Tender: Accelerating Large Language Models via Tensor Decompostion and Runtime Requantization (ISCA'24)☆20Updated last year
- ☆20Updated 5 months ago