Any LLM on Any PC (LM Studio) Run open-source models in minutes!

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  • เผยแพร่เมื่อ 22 ก.ค. 2024
  • Welcome to this LM Studio video tutorial! Are you ready to dive into the world of advanced large language models (LLMs) effortlessly? In this video, we'll guide you through the seamless installation and utilization of LM Studio, a powerful front-end tool designed to simplify your experience with Open Source LLM models and any of the models available on Hugging Face. With just one click, you'll gain access to a plethora of open-source models, ready to be deployed for various tasks.
    Whether you're a seasoned developer or a curious enthusiast, LM Studio simplifies the process of harnessing the power of large language models, allowing you to focus on your tasks without worrying about complex configurations. Join us on this journey and unlock the potential of natural language processing with LM Studio! Don't forget to like, share, and subscribe for more tutorials and insights. Let's embark on this exciting adventure together! 🌟✨📚
    🔗Links:
    lmstudio.ai/
    🕒Chapters:
    0:00 Introduction to LM Studio run LLM in minutes.
    1:00 Installing LM Studio in One Click
    1:25 Using LM Studio
    2:05 Loading and Running Models
    4:00 LM Studio Presets for LLM Model explained
    5:08 Running prompts locally against LLM
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ความคิดเห็น • 12

  • @AmazingArends
    @AmazingArends 3 หลายเดือนก่อน +1

    Thanks, it's nice to see a more recent video on LM Studio, as the interface has changed since it was first released.

    • @stuffaboutstuff4045
      @stuffaboutstuff4045  3 หลายเดือนก่อน

      You're welcome! Thanks for the feedback, much appreciated!

  • @syntrax-og
    @syntrax-og 4 หลายเดือนก่อน +3

    oh wow, this was awesome! Thanks!

    • @stuffaboutstuff4045
      @stuffaboutstuff4045  4 หลายเดือนก่อน +1

      You're so welcome! Glad you enjoyed the video. Thanks for the feedback.

  • @jdholbrook33
    @jdholbrook33 4 หลายเดือนก่อน +2

    Excellent video, thank you.
    Got it up and running quickly.

    • @stuffaboutstuff4045
      @stuffaboutstuff4045  4 หลายเดือนก่อน

      You're welcome! Thanks for the feedback..

  • @BirchSamson
    @BirchSamson 4 หลายเดือนก่อน +1

    this is amazing thankyou so much for sharing this!!

    • @stuffaboutstuff4045
      @stuffaboutstuff4045  4 หลายเดือนก่อน

      No problem 😊 Glad you found value in the video, Thanks for the feedback!

  • @antoniohenriques3055
    @antoniohenriques3055 4 หลายเดือนก่อน +5

    How can i upload files to this?

    • @stuffaboutstuff4045
      @stuffaboutstuff4045  3 หลายเดือนก่อน

      🤦‍♂️Apologies, I missed this comment, sorry for the late reply. The system has an API but you would have to come up with a way to formulate and ingest. If you want to ingest and chat to docs there is a more purpose built tool PrivateGPT, you welcome to check it out here.
      th-cam.com/video/Ww2oelybDz8/w-d-xo.html

  • @YokomoHoyo
    @YokomoHoyo 4 หลายเดือนก่อน +3

    Not any, you need lots of ram for the best LLM.

    • @stuffaboutstuff4045
      @stuffaboutstuff4045  4 หลายเดือนก่อน +1

      Thanks very true, They show the ram requirements for the various models on the GitHub page. Thanks for reaching out and for the feedback.