Language Models
SqueezeAILab/SqueezeLLM
[ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization
π§ Natural Language Processing
PythonMITupdated Aug 13, 2024
[NeurIPS 2024 Oralπ₯] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.
$ git clone https://github.com/Hsu1023/DuQuant.git[ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization
STEPQuant: When and Where Errors Matter in Delta-Rule Recurrent State Quantization
β² +2 β this week
Mastering Applied AI, One Concept at a Time
β² +1 β this week
[ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.
[ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
β² +158 β this week
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Data from GitHub Β· snapshot Nov 13, 2026