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SmoothQuant - Accurate and Efficient Post-Training Quantization for Large Language Models Large language models (LLMs) show excellent performance but are compute- and memory-intensive. Quantization can reduceĀ ... In this video, we look into SmoothQ Algorithm and Paper: Paper: Pseudocode Open SourceĀ ... Pseudo-lab (ā€Ŗ-labā€¬ ) EfficientLLM study Presenter: ź¹€ģŠ¹ģš° Date: 2025/09/30 Paper: Seminar date : 2024.07.05 # Seminar contents Paper Review Seminar # Paper Title Xiao, Guangxuan, et al. " Are 1-bit LLMs the future of efficient AI? Or just a catchy Microsoft metaphor? In this video, we break down BitNet, the so-calledĀ ...

In part 2 we look at and compare more advanced quantization techniques: In this tutorial, we will explore many different methods for loading in pre-quantized models, such as Zephyr 7B. We will explore theĀ ... ... quantized weights (GGUF) - Quantizing Activations too using LLM.int8 and

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SmoothQuant: Efficient & Accurate Quantization for Massive Language Models Wealth
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SmoothQuant: Migrate Activation Difficulty to Weights
05.09.2023 SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
SmoothQuant : Accurate and Efficient Post Training Quantization for Large Langu
Final Presentation CS104 SmoothQuant (15 Min)
SmoothQuant : run LLM on CPU
[Paper Review] SmoothQuant
[IDSL Paper Review] SmoothQuant
CS104 SmoothQuant Final Presentation
Large Language Models Post Training Quantization(smoothQuant, RPTQ)
The myth of 1-bit LLMs | Quantization-Aware Training
LLM Quantization Explained: GPTQ, AWQ, QLoRA, GGUF and More
Behind the Stack, Ep 7 - Choosing the Right Quantization for Self-Hosted LLMs

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Last Updated: June 7, 2026

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SmoothQuant - Accurate and Efficient Post-Training Quantization for Large Language Models
SmoothQuant: Efficient & Accurate Quantization for Massive Language Models
SmoothQuant
SmoothQuant: Migrate Activation Difficulty to Weights
05.09.2023 SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
SmoothQuant : Accurate and Efficient Post Training Quantization for Large Langu
Final Presentation CS104 SmoothQuant (15 Min)
SmoothQuant : run LLM on CPU