A-suozhang / MixDQLinks
[ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization
☆12Updated 6 months ago
Alternatives and similar repositories for MixDQ
Users that are interested in MixDQ are comparing it to the libraries listed below
Sorting:
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆42Updated 6 months ago
- QuEST: Efficient Finetuning for Low-bit Diffusion Models☆45Updated 4 months ago
- LLM Inference with Microscaling Format☆23Updated 6 months ago
- [ICML 2025] SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆31Updated 9 months ago
- ☆13Updated 2 months ago
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆60Updated last year
- ☆21Updated 7 months ago
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆46Updated this week
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆98Updated last year
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆50Updated 9 months ago
- This project is the official implementation of our accepted IEEE TPAMI paper Diverse Sample Generation: Pushing the Limit of Data-free Qu…☆14Updated 2 years ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆32Updated 9 months ago
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆37Updated 8 months ago
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆30Updated 6 months ago
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆56Updated last year
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆38Updated last year
- super-resolution; post-training quantization; model compression☆12Updated last year
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆46Updated 8 months ago
- [CVPR 2024 Highlight] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Mo…☆63Updated 10 months ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆46Updated last year
- Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs☆16Updated 5 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 PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆34Updated last week
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆98Updated 2 months ago
- torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.☆22Updated last year
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆41Updated 2 months ago
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆65Updated last year
- [ICLR 2025] Mixture Compressor for Mixture-of-Experts LLMs Gains More☆45Updated 3 months ago
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆32Updated last year
- [ICLR 2025] Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better☆14Updated 3 months ago