MambaQuant / MambaQuant
☆19Updated 2 months ago
Alternatives and similar repositories for MambaQuant
Users that are interested in MambaQuant are comparing it to the libraries listed below
Sorting:
- The official implementation of the ICML 2023 paper OFQ-ViT☆30Updated last year
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆88Updated last year
- The official implementation of BiViT: Extremely Compressed Binary Vision Transformers☆15Updated last year
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆56Updated last year
- ☆20Updated 6 months ago
- BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models☆35Updated last year
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆44Updated 7 months ago
- super-resolution; post-training quantization; model compression☆12Updated last year
- LSQ+ or LSQplus☆68Updated 3 months ago
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆47Updated 2 years ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆46Updated last year
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆48Updated last month
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆36Updated last year
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆132Updated 3 years ago
- DeiT implementation for Q-ViT☆24Updated 3 weeks ago
- PyTorch code for our paper "ARB-LLM: Alternating Refined Binarizations for Large Language Models"☆24Updated last month
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆65Updated last year
- Code implementation of GPTQv2 (https://arxiv.org/abs/2504.02692)☆36Updated 3 weeks ago
- To appear in the 11th International Conference on Learning Representations (ICLR 2023).☆17Updated 2 years ago
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆30Updated 6 months ago
- ☆22Updated last year
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆32Updated last year
- [NeurIPS 2024] Search for Efficient LLMs☆13Updated 4 months ago
- [CVPR 2025] APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers☆17Updated last month
- ☆42Updated last year
- An official implement of CVPR 2023 paper - NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers☆22Updated last year
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆36Updated 7 months ago
- ☆34Updated 2 years ago
- This repo contains the code for studying the interplay between quantization and sparsity methods☆19Updated 2 months ago
- LLM Inference with Microscaling Format☆22Updated 6 months ago