Model Memory Requirements Explained: How Fp32, Fp16, Bf16, Int8, And Int4 Impact Llm Size

2026 4:23
Synopsis
In this video, we take a practical look at how data types directly affect model size and memory usage when working with large ...

You Might Also Like

LLAMA 3.1 70b GPU Requirements (FP32, FP16, INT8 and INT4) 5:15
Llama 3.1 70b Gpu Requirements (fp32, Fp16, Int8 And Int4)
2025
Data Types Explained: FP32 vs FP16 vs BF16 in Deep Learning 8:55
Data Types Explained: Fp32 Vs Fp16 Vs Bf16 In Deep Learning
2026
NumericalPrecision or BF16 and BF32 in LLM models 18:45
Numericalprecision Or Bf16 And Bf32 In Llm Models
2025
honey i shrunk the llm a beginners guide to quantization 1:49
Honey I Shrunk The Llm A Beginners Guide To Quantization
2026
Training models with only 4 bits | Fully-Quantized Training 24:08
Training Models With Only 4 Bits | Fully-quantized Training
2026
From FP32 to INT8: Post-Training Quantization Explained in PyTorch 18:58
From Fp32 To Int8: Post-training Quantization Explained In P...
2026
Quantizing LLMs - How & Why (8-Bit, 4-Bit, GGUF & More) 26:26
Quantizing Llms - How & Why (8-bit, 4-bit, Gguf & More)
2025
Recursive Language Models for Infinite Context Scaling: AI's Big Memory Problem 8:03
Recursive Language Models For Infinite Context Scaling: Ai's...
2026
LLMs in a Nutshell 6:06
Llms In A Nutshell
2026
How LLMs survive in low precision | Quantization Fundamentals 20:34
How Llms Survive In Low Precision | Quantization Fundamental...
2026
LLMs from Scratch – Practical Engineering from Base Model to PPO RLHF 6:06:21
Llms From Scratch – Practical Engineering From Base Model ...
2026
Download Options
Choose a download method below. All links open in new tabs.
Service Features Action
SaveFrom
MP4 & MP3 • HD Quality • Browser Extension Available
Download
Security Notice: These are third-party services. We recommend using antivirus software and being cautious of pop-up ads.