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Public/run Google Gemma 4 Offline On Your Pc Using Lm Studio

Run Google Gemma 4 Offline on Your PC Using LM Studio (Full Transcript)

Step-by-step setup of Gemma 4 in LM Studio, plus tips for action-item extraction, image summaries, split view comparisons, and privacy benefits.
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[00:00:00] Speaker 1: This is Google's Jemma 4 running directly on my PC for free. In this video, I'll show you exactly how to set it up step by step. Here's what it looks like. I'll paste in some meeting notes and ask it to pull out the action items. And there they are, fast and clean. Jemma 4 is Google's open AI model, meaning that there are no subscriptions, your data stays on your machine, and it even works offline. I'm Kevin, and let's set it up. To get started, download and install LM Studio. You'll find a link right here at the bottom of the screen. Now, I'm using LM Studio because it's the easiest way to run these models on your PC, and you don't need to use the command line or any complicated setup. Once you finish installing LM Studio, over on the left-hand side, let's click on the search icon. And right up here at the very top, let's type in Jemma 4, and you'll see a few different model sizes. The smaller models are faster, and the larger models are more powerful. I'll use the 4B model. I find that it's a great balance and works well on most PCs. I'll click on this, and then over on the right-hand side, let's click on download. Of course, you can always try the other models later to compare the results. Once the download is all done, down below you'll see a notification, and we can now use it in a new chat. Let's do that. Let's start with something practical. I have some meeting notes, and I'd like it to pull out the different action items. So here I have my meeting notes, and right down below, here I'll ask it to extract the action items and assign an owner if possible. Now right down below, you can choose the model that you would like to run. Now currently, I only have one installed, but if you install others, this is where you could choose them. If you want more detailed reasoning, you can turn on what's called think mode. It's a little bit slower, but I find that it's more thorough. I'm going to leave it on. Then over on the right-hand side, let's run it. And there we go. It pulled out all the key tasks, it cleaned them up, and it even suggested owners based on the context. Once you get your result, you have a few different options right here. Here, if I scroll down to the bottom, you'll see all these different actions. You can regenerate to get a different answer. Over here, you can branch to explore a new direction without losing any of this content that you see. You could also copy the output and use it somewhere else. Right over here, you can edit the result directly on the screen, or if you just want to start over, you can also just delete the message. So far, we've just been looking at how this works with text, but you can also use it to understand images. Right over here, I have a photo of a whiteboard after a meeting, and I'd like to understand this better. So down below, I could click on this plus icon, and I could attach a file or attach an image, but my preferred approach is simply to drag and drop the image into the chat field. Now, I could type in my prompt, summarize this whiteboard, and list the key takeaways and action items. Let's run that. And just like that, it turns all of this messy information into something clear and structured. LM Studio also has a few other features that make it easier to stay organized. In the top left-hand corner, let's click on this icon, and here you can see all of your different chats. And one neat thing is you could even group them into folders. Over on the right-hand side, if you click on this icon, you can open up a split view. That way, you could see multiple chats side by side. Now, this is great if you want to compare results. Maybe you have multiple models installed and you want to compare them. Also, within a chat, you could click on this three-dot icon, and right down here, you have the option to add instructions. That way, it'll respond the way you want it to every time. As an example, you could tell it to, let's say, respond in a specific format. Like, maybe you only want bullet points, or maybe you want a table in the response. You have that power and control. Of course, this is what most people expect from AI today. The difference, though, is it all runs directly on your PC. No subscriptions, no limits, and best of all, your data stays private. Give it a try and let me know what you think. Thanks for watching.

ai AI Insights
Arow Summary
The video demonstrates how to run Google’s Gemma 4 locally on a PC for free using LM Studio. It walks through installing LM Studio, searching for and downloading a Gemma 4 model (using the 4B size as a balanced choice), starting a new chat, and using features like “think mode” for more thorough responses. Examples include extracting action items (and suggesting owners) from meeting notes and summarizing a whiteboard photo by dragging and dropping an image. It also highlights LM Studio productivity features such as chat history, folders, split view for side‑by‑side comparisons, and per-chat custom instructions to enforce response formats. The key value proposition emphasized is offline, private, subscription-free AI running entirely on the user’s machine.
Arow Title
How to Run Google Gemma 4 Locally with LM Studio
Arow Keywords
Gemma 4 Remove
Google open model Remove
LM Studio Remove
local AI Remove
offline AI Remove
privacy Remove
on-device LLM Remove
4B model Remove
think mode Remove
action items extraction Remove
image understanding Remove
whiteboard summary Remove
chat folders Remove
split view Remove
custom instructions Remove
Arow Key Takeaways
  • Install LM Studio to run LLMs locally without command-line setup.
  • Search for “Gemma 4” in LM Studio and choose a model size; 4B is presented as a good speed/power balance for most PCs.
  • Download the model and start a new chat to use it immediately.
  • Use “think mode” for more thorough (but slower) answers when you want deeper reasoning.
  • Gemma 4 can extract and clean action items from meeting notes and can suggest owners based on context.
  • You can analyze images (e.g., a whiteboard photo) by dragging and dropping them into the chat and asking for summaries and action items.
  • LM Studio supports regenerating, branching, copying, editing, or deleting responses to iterate quickly.
  • Organization features include chat lists, folders, and split-view to compare chats or models side by side.
  • Per-chat instructions let you enforce consistent output formats like bullet points or tables.
  • Primary benefits highlighted: no subscriptions, no usage limits, data stays on-device, and it works offline.
Arow Sentiments
Positive: The tone is upbeat and instructional, emphasizing convenience and benefits like being free, fast, private, and offline-capable, with encouraging language such as “fast and clean,” “easy,” and “give it a try.”
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