Скачать или смотреть 🐋 DeepSeek R1 Hardware Requirements | Explained 💻✅

Here is the DeepSeek R1 hardware requirements! In this video, we’ll break down the DeepSeek AI hardware requirements and everything you need to run Deepseek R1 hardware locally. Whether you’re looking to install Deepseek R1 or run DeepSeek R1 or need a complete Deepseek R1 tutorial, this guide has you covered! We will also explore requirements running Deepseek R1 671B local, along with various other Deepseek AI model sizes.

This video will help you understand the power of Deepseek R1 1.5B to 671B. If you want to run Deepseek local, we’ll discuss the hardware requirements needed for Deepseek R1. This guide is perfect whether you're running Deepseek on a PC or a powerful workstation or server.This video breaks down the GPU VRAM requirements for models from 1.5B to 671B parameters. Find out what your system can handle for DeepSeek R1.
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⌛ TIMESTAMPS
0:00 Intro
0:03 What is DeepSeek R1 Model Parameters Number?
0:33 DeepSeek R1 1.5b Hardware Requirement
1:05 DeepSeek R1 7b & 8b Hardware Requirement
1:26 DeepSeek R1 14b Hardware Requirement
1:34 DeepSeek R1 32b Hardware Requirement
1:49 DeepSeek R1 70b Hardware Requirement
2:00 Can you run higher "b" models with low VRAM?
2:12 DeepSeek R1 671b Local Hardware Requirement
2:47 How to Run DeepSeek R1 Locally?
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#deepseek #deepseekai #deepseekr1 #deepseekaitutorial #deepseekr1tutorial #howtousedeepseek #ai #llm #zortec #yogomo
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Disclaimer:
The hardware requirements I covered are based on the default model offered on Ollama for DeepSeek-R1, which is the Q4 version. The most widely and popular used one. ✅

💡 Why Q4?
Q4 models require less VRAM and are much more accessible compared to Q8 and FP16, which are larger, more demanding versions.

⚠️ Why Not Cover Q8 or FP16?
Covering their requirements wouldn't make sense for most people, as they need much more powerful hardware that only a very small percentage of users have access to.

📊 Tell me VRAM Requirements anyway:
🔹 Q8 → 2× the VRAM of Q4
🔹 FP16 → 4× the VRAM of Q4