Intelligent-Computing-Lab-Yale / TesseraQ
☆18Updated 3 months ago
Alternatives and similar repositories for TesseraQ:
Users that are interested in TesseraQ are comparing it to the libraries listed below
- LLM Inference with Microscaling Format☆19Updated 3 months ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆47Updated last year
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆31Updated 4 months ago
- AFPQ code implementation☆20Updated last year
- The official implementation of the ICML 2023 paper OFQ-ViT☆30Updated last year
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆48Updated 2 years ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆35Updated 11 months ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆30Updated 6 months ago
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆57Updated 11 months ago
- An algorithm for static activation quantization of LLMs☆116Updated 2 weeks ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆43Updated last year
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆29Updated last month
- Official implementation of the ICLR 2024 paper AffineQuant☆24Updated 10 months ago
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆32Updated last year
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆60Updated 10 months ago
- QAQ: Quality Adaptive Quantization for LLM KV Cache☆46Updated 10 months ago
- Official PyTorch implementation of FlatQuant: Flatness Matters for LLM Quantization☆102Updated 3 weeks ago
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆100Updated 9 months ago
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆41Updated 4 months ago
- ☆23Updated 3 months ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆55Updated last week
- ☆19Updated 2 months ago
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆52Updated last year
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆25Updated 11 months ago
- ☆39Updated last year
- [ICLR 2024] Jaiswal, A., Gan, Z., Du, X., Zhang, B., Wang, Z., & Yang, Y. Compressing llms: The truth is rarely pure and never simple.☆20Updated 11 months ago
- Code for ICML 2021 submission☆35Updated 3 years ago
- This project is the official implementation of our accepted IEEE TPAMI paper Diverse Sample Generation: Pushing the Limit of Data-free Qu…☆13Updated last year
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆11Updated 2 months ago
- ☆87Updated this week