LM Studio 2.0: Image Analysis Revolution with AI Unleashed
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- Опубликовано: 28 май 2024
- 👋 Welcome to an all-encompassing guide on LM Studio! In today's video, I'm thrilled to walk you through the steps to download, install, and operate large language models locally on your computer, ensuring 100% data privacy. Whether you're a beginner or looking to explore advanced features like running vision models, this tutorial has got you covered! 🎥✨
🔹 What You Will Learn:
Download & Install LM Studio: Learn how to seamlessly set up LM Studio on your system.
Operate Large Models Locally: Dive into how to run models like Llama 38B locally for utmost privacy.
Run Multiple Models: Discover how to operate various models simultaneously without any hassle.
Server Integration: Integrate AI models with your applications using simple steps.
Vision Models: Explore the multimodal model Lava, which can describe images uploaded by you.
👉 Don’t forget to subscribe and click the bell icon to stay updated on our latest videos. Hit like and share this video to help others learn about these fantastic capabilities!
🔗 Resources:
Patreon: / mervinpraison
Ko-fi: ko-fi.com/mervinpraison
Discord: / discord
Twitter / X : / mervinpraison
Code: mer.vin/2024/04/lm-studio-2-0/
Timestamps:
0:00 - Introduction to LM Studio
0:18 - Downloading and Installing LM Studio
0:24 - Running Your First Model Locally
0:33 - Step-by-Step Setup for Multiple Models
1:00 - Server Setup and Application Integration
1:05 - Running a Multimodal Vision Model
1:46 - Integrating Models with Python Applications
2:59 - Final Thoughts and Wrap-up
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Хобби
Again, another great tutorial, short and to the point. I was just looking into whether or not phi-3 would be integrated with LLaVA like phi-2 was. It is great to know that it was.
Man i watch these videos with a cup of coffee❤
I enjoyed this short video. I have been having problems with LM Studio and I figured out why. I can't run multiple models because you have to have a GPU. This message appears at the bottom. Makes sense and so I will stop trying. I thought it had to do with memory, it does, with GPU memory, which I don't have.
Full GPU Offload (minimum est. 2.63 GB)
In multi-model sessions, LM Studio only support full GPU offload. Ensure your system has enough VRAM to support the model.
The second issue I had was that Models would sometimes not work in chat. People would tell me that I had the GPU turned on, but when I looked at the GPU settings under Presets on the right side when I had chat running, I would see no checkmark in the checkbox, but the slider would read 8 or 10.
I finally tried checking the checkbox and then uncheck it and the slider would read 0 and things worked.
I run on a Linux machine running POP_OS 20.04, a Ubuntu derivative, so I don't know if this applies to Mac's or Windows, It was confusing at first, but now it makes more sense.
I like LM Studio. It is a good way to investigate models. Now it is less frustrating to get models to work.
Thanks for your detailed feedback
happy to see those subscribers going up well deserved!
Thank you for your support 🙏
hi mervin, i love your videos. ezy to understand and concise. would love if u can do video on option to run local LLM + vision locally. perhaps use Apple M series, Nvidia RTX GPU or even perhaps Jetson AGX?
Finally! Great! ❤
I am really enjoying your short and to the point videos like this one. When you are processing files for your KB for RAG or what have you, have you seen people using vision model outputs to "stand in" for images and videos in documents when they are chunked and processed? (I assume you could also do the same with audio?)
Can we use llava with open interpreter ?
I’m thinking of trying local models, but I don’t know what tools to use. Should I go with ollama, lm studio, or Apple MLX? I have Mac Studio with M1 Max with 32gb ram. I want to use the local model for creating agents with crewAI. The agents should be able to access the internet, scrap articles, write summaries, benchmark the articles and then upload the best ones to a blog on Wordpress, together with SEO optimized titles, hashtags and maybe a generated image? Would this all be possible using only local LLMs?
Can you do a video of deploying and integrating llama.cpp to a python app?
hi,
Mervin Praison
can you make a video of devin AI building an automated bot that books appointements
With LM Studio, is it posible to use your own data when running the server ??
can u tell us how to run this model online and able to host it via a url? then have a password to unlock that page so that users can use it
I want to develop tool to read and analyze piano sheet music for classical pianists. Is this possible with a multimodal model using sheet music scans?
Yes, but you probably need to finetune the model a bit on some sheet music.
Yes, that is a great use case . Will see if I can finetune one, if I could get sometime
@@ArianeQube I have done this initially by coding the music (rhythmic layer) as a word document successfully. But it will be possible to fine tune with the visual input only?
@@MervinPraison I am convinced that this tool could be VERY lucrative. I have developed a model with at least 19 layers of musical information.
I don't like LM Studio. I don't know why people are still using it...
As someone who develops and builds a lot, LM-Studio is actually quite useful and better in my opinion. Chat wise maybe not but for quick loading testing and building most definitely.
@@MuiOmniKing I have a not-a-question for you. Have you heard of ollama!
Convenience and simplicity
The biggest issues when getting people to use new tech is to make it accessible and straightforward, LM Studio provides both, I don't use it much either but I'm a power user. Having installed and used LM Studio, I understand entirely why it's popular and loved
@@ColinKealty Alright. I got your point.
Let me just simplify, so there is no need to discuss it anymore: LMstudio is a toy (for kids), ollama is a tool - for men.
Keep playing... I am busy.
Most awful take I've ever heard LOL