Intelligent-Computing-Lab-Yale / TesseraQLinks
☆21Updated 7 months ago
Alternatives and similar repositories for TesseraQ
Users that are interested in TesseraQ are comparing it to the libraries listed below
Sorting:
- LLM Inference with Microscaling Format☆23Updated 6 months ago
- Code implementation of GPTQv2 (https://arxiv.org/abs/2504.02692)☆45Updated 2 weeks ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆46Updated last year
- AFPQ code implementation☆21Updated 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
- 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…☆47Updated 2 years ago
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆55Updated last month
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆41Updated 2 months ago
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆37Updated 8 months ago
- Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆34Updated last week
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆136Updated 2 weeks ago
- [ICML 2025] SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆31Updated 9 months ago
- ☆28Updated 10 months ago
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆62Updated last year
- QAQ: Quality Adaptive Quantization for LLM KV Cache☆50Updated last year
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆32Updated 9 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
- ☆22Updated 6 months ago
- ☆10Updated last year
- SQUEEZED ATTENTION: Accelerating Long Prompt LLM Inference☆46Updated 6 months ago
- Official implementation of the ICLR 2024 paper AffineQuant☆26Updated last year
- This repository contains the training code of ParetoQ introduced in our work "ParetoQ Scaling Laws in Extremely Low-bit LLM Quantization"☆64Updated last week
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆32Updated last year
- This repo contains the code for studying the interplay between quantization and sparsity methods☆19Updated 3 months ago
- ☆73Updated 4 months ago
- Code Repository of Evaluating Quantized Large Language Models☆123Updated 8 months ago
- Official PyTorch implementation of "IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact"☆44Updated last year
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆12Updated 6 months ago
- ☆20Updated last year