Видео с ютуба Quantized Models

DeepSeek R1: Distilled & Quantized Models Explained

Optimize Your AI - Quantization Explained

5. Comparing Quantizations of the Same Model - Ollama Course

What is LLM quantization?

Как LLM выживают в условиях низкой точности | Основы квантования

Quantizing LLMs - How & Why (8-Bit, 4-Bit, GGUF & More)

Training models with only 4 bits | Fully-Quantized Training

Reverse-engineering GGUF | Post-Training Quantization

Vector-Quantized Variational Autoencoders (VQ-VAEs)

Does LLM Size Matter? How Many Billions of Parameters do you REALLY Need?

Квантование против обрезки против дистилляции: оптимизация нейронных сетей для вывода

Объяснение квантования за 60 секунд #ИИ

Quantization explained with PyTorch - Post-Training Quantization, Quantization-Aware Training

The myth of 1-bit LLMs | Quantization-Aware Training

Unleashing the Power of Quantized Models for Your Data!

Which Quantization Method is Right for You? (GPTQ vs. GGUF vs. AWQ)

You can fit models with more parameters into smaller GPUs with quantization!

Understanding Model Quantization and Distillation in LLMs

Quantized Models Explained in Simple Terms (Beginner's Guide)

Compressing AI Models (LLMs) using Distillation, Quantization, and Pruning