this post was submitted on 24 Aug 2023
24 points (80.0% liked)
Piracy: ꜱᴀɪʟ ᴛʜᴇ ʜɪɢʜ ꜱᴇᴀꜱ
54500 readers
360 users here now
⚓ Dedicated to the discussion of digital piracy, including ethical problems and legal advancements.
Rules • Full Version
1. Posts must be related to the discussion of digital piracy
2. Don't request invites, trade, sell, or self-promote
3. Don't request or link to specific pirated titles, including DMs
4. Don't submit low-quality posts, be entitled, or harass others
Loot, Pillage, & Plunder
📜 c/Piracy Wiki (Community Edition):
💰 Please help cover server costs.
 |
 |
|---|---|
| Ko-fi | Liberapay |
founded 1 year ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
My experience is with gpt4all (which also runs locally), but I believe the GPU doesn't matter because you aren't training the model yourself. You download a trained model and run it locally. The only cap they warn you about is RAM - you'll want to run at least 16gb of RAM, and even then you might want to stick to a lighter model.
No, LLM text generation is generally done on GPU, as that's rhe only way to get any reasonable speed. That's why there's a specifically-made Pyg model for running on CPU. That said, one generation can take anywhere from five to twenty minutes on CPU. It's moot anyway as I only have 8GB ram.
I'm just telling you, it ran fine on my laptop with no discrete GPU 🤷 RAM seemed to be the only limiting factor. But yeah if you're stuck with 8GB, it would probably be rough. I mean it's free, so you could always give it a shot? I think it might just use your page file, which would be slow but might still produce results?