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LM Studio Course: Run LLMs locally

4 (1 ratings) Last Updated:11/2024 English (India) Instructor: Amit Diwan

Lectures: 15
|
Videos: 0.52 hours
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Level: All
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Language: English
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Last Updated: 11/2024

Skills: Deep Learning Machine Learning Generative AI

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15 lectures 0.52 hours English

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About this Course

Welcome to the LM Studio Course.

LM Studio is designed for local interaction with large language models (LLMs).LLM stands for Large Language Model. These models are designed to understand, generate, and interpret human language at a high level.

Features

Local Model Interaction: Allows users to run and interact with LLMs locally without sending data to external servers
User Friendly Interface: Provides a GUI for discovering, downloading, and running local LLMs.
Model Customization: Offers advanced configurations for CPU threads, temperature, context length, GPU settings, and more.
Privacy: Ensures all chat data stays on the local machine.
Languages: LM Studio is available in English, Spanish, Japanese, Chinese, German, Norwegian, Turkish, Russian, Korean, Polish, Vietnamese, Czech, Ukranian, and Portuguese (BR,PT) thanks to incredibly awesome efforts from the LM Studio community.

Popular LLMs, such as Llama by Meta, Mistral, Gemma by Google DeepMind, Phi by Microsoft, Qwen by Alibaba Clouse, etc., can run locally using LM Studio.

In this course, you will learn about LM Studio and how it eases the work of a programmer running LLMs. We have discussed how to begin with LM Studio and install LLMs like Llama, Qwen, etc.

Note: Even if your RAM is less than 16GB, you can still work with the smaller models, with LM Studio, such as:

Llama 3.2 1B
Qwen2 Math 1.5B

We have shown the same in this video course.

Course Lessons

Section A: LM Studio Intro, Features, Advantages & Disadvantages

LM Studio: Introduction
LM Studio: Features
LM Studio: Advantages
LM Studio: Disadvantages

Section B: Install LM Studio

Install LM Studio on Windows 11

Section C: Run LLMs on LM Studio

Download & Run Llama on LM Studio
Download & Run Qwen on LM Studio

Section D: LM Studio Chat with LLMs

Chat with local LLMs (First Prompt) after installing
LM Studio : RAG (Upload and read documents)
LM Studio : Chat Appearance

Section E: LM Studio Settings

LM Studio : Advanced Configuration
LM Studio : Modes
LM Studio : Change the theme
LM Studio : Download directory
LM Studio : Delete a model

Note: We have covered only open source technologies

Let us start the journey.

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Course Content

Prerequisites

About the Instructor

Amit Diwan

Founder

Courses...

Amit Diwan is an Entrepreneur, who founded Studyopedia to create, publish and sell programming courses. His courses are live on Udemy, Packt, O'Reilly, Tutorialspoint, Geeksforgeeks, etc. Technologies: Python, Data Science, Java, Bootstrap, HTML5, CSS, WordPress, etc.

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