Видео ютуба по тегу Weight Quantization

Квантование против обрезки против дистилляции: оптимизация нейронных сетей для вывода
Квантование против обрезки против дистилляции: оптимизация нейронных сетей для вывода
MLSys'24 Best Paper - AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
MLSys'24 Best Paper - AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
Как LLM выживают в условиях низкой точности | Основы квантования
Как LLM выживают в условиях низкой точности | Основы квантования
Quantizing LLMs - How & Why (8-Bit, 4-Bit, GGUF & More)
Quantizing LLMs - How & Why (8-Bit, 4-Bit, GGUF & More)
What is LLM quantization?
What is LLM quantization?
Inference With Quantized Weights | Quantization | TensorTeach
Inference With Quantized Weights | Quantization | TensorTeach
Understanding int8 neural network quantization
Understanding int8 neural network quantization
LLM's Weight Quantization Explained
LLM's Weight Quantization Explained
Объяснение LoRA (и немного о точности и квантизации)
Объяснение LoRA (и немного о точности и квантизации)
Quantization explained with PyTorch - Post-Training Quantization, Quantization-Aware Training
Quantization explained with PyTorch - Post-Training Quantization, Quantization-Aware Training
TinyML Book Screencast #4 - Quantization
TinyML Book Screencast #4 - Quantization
Quantize LLMs with AWQ: Faster and Smaller Llama 3
Quantize LLMs with AWQ: Faster and Smaller Llama 3
Introduction to Deep Learning for Edge Devices Session 3: Quantization
Introduction to Deep Learning for Edge Devices Session 3: Quantization
BitsFusion: 1.99 bits Weight Quantization of Diffusion Model
BitsFusion: 1.99 bits Weight Quantization of Diffusion Model
AWQ for LLM Quantization
AWQ for LLM Quantization
Объяснение квантования за 60 секунд #ИИ
Объяснение квантования за 60 секунд #ИИ
Faster-Grad-CAM(Weight Quantization) + Tensorflow Lite + Corei7 + 4 Threads
Faster-Grad-CAM(Weight Quantization) + Tensorflow Lite + Corei7 + 4 Threads
Quantization in Neural Networks - May 27, 2020
Quantization in Neural Networks - May 27, 2020
1-Bit LLM: The Most Efficient LLM Possible?
1-Bit LLM: The Most Efficient LLM Possible?
The Hardware Impact of Quantization and Pruning for Weights in Spiking Neural Networks
The Hardware Impact of Quantization and Pruning for Weights in Spiking Neural Networks
Lecture 05 - Quantization (Part I) | MIT 6.S965
Lecture 05 - Quantization (Part I) | MIT 6.S965
[2023 Best AI Paper] SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compressio
[2023 Best AI Paper] SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compressio
[ICCV 2025] Scheduling Weight Transitions for Quantization-Aware Training
[ICCV 2025] Scheduling Weight Transitions for Quantization-Aware Training
Structured Compression by Weight Encryption for Unstructured Pruning and Quantization
Structured Compression by Weight Encryption for Unstructured Pruning and Quantization
THE SUPER WEIGHT IN LARGE LANGUAGE MODELS
THE SUPER WEIGHT IN LARGE LANGUAGE MODELS