thu-nics / MBQLinks
The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"
☆50Updated 4 months ago
Alternatives and similar repositories for MBQ
Users that are interested in MBQ are comparing it to the libraries listed below
Sorting:
- [ICLR 2025] Mixture Compressor for Mixture-of-Experts LLMs Gains More☆48Updated 5 months ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆39Updated last year
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆36Updated 10 months ago
- ☆21Updated 9 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
- torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.☆23Updated last year
- [NeurIPS 2024] The official implementation of ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification☆23Updated 4 months ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆165Updated 10 months ago
- ☆14Updated 4 months ago
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆56Updated last week
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆145Updated 2 months ago
- [ICML 2025 Oral] Mixture of Lookup Experts☆47Updated 2 months ago
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆32Updated 9 months ago
- Code Repository of Evaluating Quantized Large Language Models☆129Updated 11 months ago
- [ICML 2025] SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity☆49Updated last month
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆49Updated last year
- [COLM 2025] DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation; 知乎:https://zhuanlan.zhihu.c…☆26Updated 5 months ago
- Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs☆18Updated 8 months ago
- [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…☆103Updated 3 weeks ago
- [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆43Updated last month
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆44Updated last year
- ☆42Updated 9 months ago
- LLM Inference with Microscaling Format☆25Updated 8 months ago
- The official code implementation for paper "R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing"☆43Updated this week
- [ICML 2025] SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆39Updated last year
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆54Updated 11 months ago
- D^2-MoE: Delta Decompression for MoE-based LLMs Compression☆63Updated 4 months ago
- Official code implementation for 2025 ICLR accepted paper "Dobi-SVD : Differentiable SVD for LLM Compression and Some New Perspectives"☆36Updated 4 months ago
- AFPQ code implementation☆22Updated last year
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆14Updated 8 months ago