Thank you for that explanation. My regex impaired ass thought he wanted to hurt generation[x|y|z].

I’m like “what’d we ever do to you?”

Probably better to ask on !localllama@sh.itjust.works. Ollama should be able to give you a decent LLM, and RAG (Retrieval Augmented Generation) will let it reference your dataset.

The only issue is that you asked for a smart model, which usually means a larger one, plus the RAG portion consumes even more memory, which may be more than a typical laptop can handle. Smaller models have a higher tendency to hallucinate - produce incorrect answers.

Short answer - yes, you can do it. It’s just a matter of how much RAM you have available and how long you’re willing to wait for an answer.

Thanks for posting. I’m still new to this and had no idea what settings I should be using.

It’s probably a pain to set up in Windows. In Linux, it just works, there’s nothing to set up. I’m using it right now.

OP really should have mentioned their OS.

Edit: Actually, nevermind both my posts. I know DRI_PRIME works by using my APU for regular desktop activity, and routing discrete GPU output in whenever a game is being played. But I don’t know if it’s possible to make it use the dGPU all the time.

Even if it did, it would only work inside the OS, so if you had to boot into the BIOS for anything, you wouldn’t have a display. So for all intents and purposes, it wouldn’t really work.

I just did a quick bing chat search (“does DRI_PRIME work on systems without a cpu with integrated graphics?”) and it says it will work. I can’t check for you because my CPUs all have graphics.

I CAN tell you that some motherboards will support it (my ASUS does) and some don’t (my MSI).

BTW, I’m talking about Linux. If you’re using Windows, there’s a whole series of hoops you have to jump through. LTT did a video a while back.

You haven’t heard about wearable servers? C’mon get with the times! I’m headed out for a jog now, gotta keep my hashrate up!