It's ok though, they have fecal transplants that can help.
How often do you hear that sentence?
(For anybody who's never heard of it, it's exactly what it sounds like)
OpticalMoose
joined 1 year ago
Renegade Cut had a pretty good video about her. https://piped.video/watch?v=HC4K1mx0SPQ. I was mostly wrong about her. I didn't realize they became friends later. That's a pretty big arc for only one season.
Maybe we don't live in the worst possible universe. Madonna and Will Smith in the Matrix, everybody using the Hulk Hogan Grill, Stallone as Axel Foley, OJ as the Terminator. I guess I'm ok with where we are now.
Awesome. I'd heard that Pat was one of Redd's old friends from the "Chitlin' Circuit" era of comedy, but I've never actually seen him do standup.
A monopoly? How, by making better cards? When AMD or Intel makes a better card, I'll buy one.
The median salary at Nvidia is $266,939. I don't feel sorry for their workers.
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.
One thing I love about usenet is that it's great if you're just looking for one episode, song, etc and don't want to download a whole collection.
Why replace torrents? Why not use both? It's a bonus if your usenet provider includes a VPN.
Remember it? I still have mine. Got games dating back to Monster Truck Madness, all the Need for Speed games before they went batshit crazy, and about 2 years worth of PC Gamer demo discs.
Awesome. I never heard of Kino Lorber before they announced Monk on Blu-Ray, but now I'm a fan.
Yep, I had been hoping for the same thing.
Also, to @projectmoon@lemm.ee, you might want to wait and see what gets announced at Computex next month. Hopefully they announce some new stuff and the current gen prices drop.
I followed a tutorial and trained my first LoRA today. I was surprised to see it was using both my GPUs - 1080ti and 3060, but then it failed halfway through. I won't print the whole log, but here are the important parts that caught my attention:
More than one GPU was found, enabling multi-GPU training.
2023-09-17 10:35:32.654285: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
Blocksparse is not available: the current GPU does not expose Tensor cores
[E ProcessGroupNCCL.cpp:455] Some NCCL operations have failed or timed out. Due to the asynchronous nature of CUDA kernels, subsequent GPU operations might run on corrupted/incomplete data.
[E ProcessGroupNCCL.cpp:460] To avoid data inconsistency, we are taking the entire process down.
So my guess is the tensor errors are because of the GTX card which doesn't have tensor cores. I removed that card and everything ran fine with just the 3060. I imagine either card would work by itself, but the differences between the two may have been enough to cause data corruption.
So I'm wondering if anyone has this working with multiple RTX cards. Can it work across generations - 3060 and 4060ti, etc. Or does it have to be the same generation? Thanks in advance.
As for the LoRA itself, it needs more work (denim boots)
When I was in Korea, I leaned that chickens can (sort of) fly. They can flap their wings hard enough to get from the ground to a tree branch maybe 8 feet or so off the ground, and safely back down.
And I've heard chickens tasted better back in the old days. A bird that eats grubs, worms, grasshoppers, frogs, snakes, etc tastes different than one that just eats chickenfeed all day.