VainF / MaskLLM-4VLinks
Learnable Semi-structured Sparsity for Vision Transformers and Diffusion Transformers
☆14Updated 10 months ago
Alternatives and similar repositories for MaskLLM-4V
Users that are interested in MaskLLM-4V are comparing it to the libraries listed below
Sorting:
- [ICCV 2025] QuEST: Efficient Finetuning for Low-bit Diffusion Models☆55Updated 6 months ago
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆73Updated last year
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆71Updated 9 months ago
- ☆15Updated 9 months ago
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆44Updated last year
- [ICLR 2025] Mixture Compressor for Mixture-of-Experts LLMs Gains More☆65Updated 10 months ago
- [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…☆108Updated 3 months ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆177Updated last year
- [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆61Updated 5 months ago
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆66Updated last year
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆142Updated 9 months ago
- [NeurIPS'25] dKV-Cache: The Cache for Diffusion Language Models☆126Updated 7 months ago
- Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)☆140Updated 2 years ago
- Curated list of methods that focuses on improving the efficiency of diffusion models☆44Updated last year
- torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.☆22Updated last year
- ☆24Updated last year
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆38Updated last year
- [ICLR'25] ARB-LLM: Alternating Refined Binarizations for Large Language Models☆28Updated 4 months ago
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆79Updated 5 months ago
- [ICML 2025] SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity☆64Updated 5 months ago
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆67Updated last year
- LLM Inference with Microscaling Format☆34Updated last year
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆102Updated last year
- The official implementation of the ICML 2023 paper OFQ-ViT☆35Updated 2 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
- [NeurIPS'25] The official code implementation for paper "R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Tok…☆69Updated this week
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆46Updated last year
- AFPQ code implementation☆24Updated 2 years ago
- [ICML 2025] XAttention: Block Sparse Attention with Antidiagonal Scoring☆261Updated 5 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆169Updated last month