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1 year ago
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32:37
2025
1 year ago
In this video, we'll explore the power of running large language models (LLMs) entirely locally on an RTX 5090 GPU. I'll demonstrate how easily you can use open-source LLMs locally using LM Studio, showcasing models like DeepSeek R1 and GEMMA 3 27B. We'll dive into various LLM capabilities including text generation, multimodal AI, and even touch on future possibilities of video and image generation. This is Part 2 of a three-part series on the RTX 5090, with today’s focus on LLMs and their local performance on this powerful GPU.
▼ Link(s) From Today’s Video:
Run LLMs Locally for yourself!: https://lmstudio.ai/
Learn More about RTX 5090: https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5090/
Check out Part One: https://www.youtube.com/watch?v=eBaEhpImpDI&t=1431s&ab_channel=MattVidProAI
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00:00 Introduction to Running LLMs Locally
01:27 Setting Up LM Studio
01:58 Testing DeepSeek R1 on RTX 5090
02:42 Exploring Model Settings and Performance
03:48 Generating Content with DeepSeek R1
06:19 Loading Larger Models
09:44 Pushing the Limits with 32B Models
12:47 Reflections on Local AI Performance
16:55 Introduction to GEMMA 327B
17:15 Setting Up the Model
18:00 First Impressions and Performance
18:47 Roasting with GEMMA
22:48 Analyzing Memes and Humor
27:53 Exploring Smaller LLMs
30:49 Conclusion and Future Plans
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