Language Models
SqueezeAILab/SqueezeLLM
[ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization
🧠 Natural Language Processing
PythonMITupdated Aug 13, 2024
STEPQuant: When and Where Errors Matter in Delta-Rule Recurrent State Quantization
$ git clone https://github.com/Dreamer-Toby/STEPQuant.git[ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization
[NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.
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Mastering Applied AI, One Concept at a Time
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Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Data from GitHub · snapshot Nov 13, 2026