Run DeepSeek-R1 Locally | Complete Beginner's Guide
Video on running DeepSeek-R1 via API : https://youtu.be/ZbbPDWOa4XM
In this comprehensive guide, I demonstrate how to harness the power of DeepSeek R1, a groundbreaking AI model that's challenging industry leaders while remaining accessible and cost-effective. My hands-on testing suggests performance that rivals Claude 3.5 Sonnet, making this an essential tool for AI developers and enthusiasts.
š What You'll Learn:
Complete installation walkthrough for DeepSeek R1
Performance comparison with leading models
Step-by-step setup using Ollama and LM Studio
Optimization for RTX 4090 GPU
Integration with Open Web UI
ā” Key Timestamps:
0:00 - Introduction & Initial Impressions
0:22 - Accessing Model Weights
0:36 - Hugging Face Repository Navigation
0:55 - GPU Requirements & Version Selection
1:18 - Ollama Installation Process
2:18 - LM Studio Setup
2:45 - Open Web UI Integration
3:14 - Final Thoughts & Conclusions
š§ Technical Specifications:
Model Version: DeepSeek R1 Distill QUEN 14 build GGUF
File Size: 12.1GB
Tested GPU: NVIDIA RTX 4090
Compatible Platforms: Ollama, LM Studio, Open Web UI
š” Resources:
Hugging Face Repository: huggingface.co/onslot
Ollama Download: olama.com
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