thu-nics / MBQLinks
The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"
☆66Updated 8 months ago
Alternatives and similar repositories for MBQ
Users that are interested in MBQ are comparing it to the libraries listed below
Sorting:
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆39Updated last year
- [ICLR 2025] Mixture Compressor for Mixture-of-Experts LLMs Gains More☆61Updated 9 months ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆176Updated last year
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆38Updated last year
- [COLM 2025] DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation; 知乎：https://zhuanlan.zhihu.c…☆28Updated 8 months ago
- [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆57Updated 4 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆164Updated 2 weeks ago
- torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.☆22Updated last year
- ☆23Updated last year
- Code Repository of Evaluating Quantized Large Language Models☆135Updated last year
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆75Updated 3 months ago
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆72Updated last year
- ☆15Updated 7 months ago
- ☆25Updated 11 months ago
- [NeurIPS 2024] The official implementation of ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification☆29Updated 7 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
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆40Updated last year
- [ICLR'25] ARB-LLM: Alternating Refined Binarizations for Large Language Models☆27Updated 3 months ago
- AFPQ code implementation☆24Updated 2 years ago
- [NeurIPS'25] The official code implementation for paper "R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Tok…☆57Updated last week
- [ICML 2025] SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆45Updated last year
- [ICML 2025] SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity☆60Updated 4 months ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆132Updated 7 months ago
- [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…☆107Updated last month
- [ICCV 2025] QuEST: Efficient Finetuning for Low-bit Diffusion Models☆55Updated 4 months ago
- [ICML 2025] XAttention: Block Sparse Attention with Antidiagonal Scoring☆254Updated 4 months ago
- Official code implementation for 2025 ICLR accepted paper "Dobi-SVD : Differentiable SVD for LLM Compression and Some New Perspectives"☆48Updated last month
- Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs☆21Updated last week
- LLM Inference with Microscaling Format☆32Updated last year
- Learnable Semi-structured Sparsity for Vision Transformers and Diffusion Transformers☆14Updated 9 months ago