I just wish it had samples! I want to hear it
For sure! I just added a couple
They sound cool! Add a few more! :P
How to Train a Gen AI Kick Drum Model on Your Old Linux Desktop with 6GB VRAM
11–20 of 93 posts
Re: How to Train a Gen AI Kick Drum Model on Your Old Linux Desktop with 6GB VRAM
#12I always roll my eyes when I see LLM weirdos talk about getting models to run on "old" hardware and finding out it's hardware that's still better than what most people have access to. It doesn't make it any less impressive to those who know what hardware requirements for LLMs usually is/are but for those with no idea it usually ends up reinforcing bitterness towards it as they feel annoyed that their own hardware is…
For sure.
If you are curious I used a NVIDIA GeForce GTX 1660 SUPER So to be exact, it came out 7 years ago (I upgraded at some point on this desktop a long time ago and didn't remember the exact year) (I updated the article to reflect this now)
This cost $230 new and you can get one now for $100 which I don't think is too out of reach.
Re: How to Train a Gen AI Kick Drum Model on Your Old Linux Desktop with 6GB VRAM
#13I have to admit I don't understand what exactly the problem is we're trying to solve with ML here...?
Decomposing sounds from (fully produced?) tracks into underlying components, and then giving the user the option to synthesize them with different parameter settings. I think.
I was trying (and failing) to do this the other day. It’s a really interesting problem space and I love to see someone with a more solid foundation give it a try.
Re: How to Train a Gen AI Kick Drum Model on Your Old Linux Desktop with 6GB VRAM
#14Re: How to Train a Gen AI Kick Drum Model on Your Old Linux Desktop with 6GB VRAM
#15I always roll my eyes when I see LLM weirdos talk about getting models to run on "old" hardware and finding out it's hardware that's still better than what most people have access to. It doesn't make it any less impressive to those who know what hardware requirements for LLMs usually is/are but for those with no idea it usually ends up reinforcing bitterness towards it as they feel annoyed that their own hardware is…
For sure. If you are curious I used a NVIDIA GeForce GTX 1660 SUPER So to be exact, it came out 7 years ago (I upgraded at some point on this desktop a long time ago and didn't remember the exact year) (I updated the article to reflect this now) This cost $230 new and you can get one now for $100 which I don't think is too out of reach.
Saying 10yo 6GB will make most people think you are talking about a Geforce GTX 1060.
Re: How to Train a Gen AI Kick Drum Model on Your Old Linux Desktop with 6GB VRAM
#16Excellent article!
I think it has the right level of detail, one question though: why the shape of the tensor? 4x8x11.
That I didn't get from the text.
Re: How to Train a Gen AI Kick Drum Model on Your Old Linux Desktop with 6GB VRAM
#17Articles like this are why I come back to HN. Interesting technically, kinda novel and fun. Got me thinking about datasets that may be sitting on old HDD, got TBs of old video and audio from projects of past. Blogs like this help point the way.. Now if only I had the time..
Re: How to Train a Gen AI Kick Drum Model on Your Old Linux Desktop with 6GB VRAM
#18I always roll my eyes when I see LLM weirdos talk about getting models to run on "old" hardware and finding out it's hardware that's still better than what most people have access to. It doesn't make it any less impressive to those who know what hardware requirements for LLMs usually is/are but for those with no idea it usually ends up reinforcing bitterness towards it as they feel annoyed that their own hardware is…
The Geforce GTX 1060 launched 10 years ago with a MSRP of $249. It spend 5 years and 4 months as the #1 card according to the Steam Hardware Survey. That makes it hard to feel that it is fair to accuse it of still being better than what most people have access to, unless you are asserting that most people have access to no GPU at all, which is likely accurate, but not likely to be accurate here, nor in any sort of enthusiast circumstance. If you lump the Intel Xe built in graphics (started with the 11th gen Core Is) and the Intel UHD (launched with 8th gen Core Is) together, the combined group would come in 6th place, with the 5 places above that in commonness for people who are actively playing steam games all being considerably faster than the Geforce GTX 1060 or Geforce GTX 1660 cards.
Interestingly, now the #1 GPU is the GeForce RTX 4060 Mobile version, which I believe is the first time the top has been a laptop chip instead of desktop chip.Items #2 and #3 on the list are the 2 generation old RTX 3060, followed by the 1 generation newer RTX 4060. 4th and 5th are RTX 5070 and RTX 3050.
Re: How to Train a Gen AI Kick Drum Model on Your Old Linux Desktop with 6GB VRAM
#19Earlier quoted context omitted.
For sure. If you are curious I used a NVIDIA GeForce GTX 1660 SUPER So to be exact, it came out 7 years ago (I upgraded at some point on this desktop a long time ago and didn't remember the exact year) (I updated the article to reflect this now) This cost $230 new and you can get one now for $100 which I don't think is too out of reach.
Saying 10yo 6GB will make most people think you are talking about a Geforce GTX 1060.
That was an oversight. The tower is more than 10 years old. I updated the article to be exact now
Re: How to Train a Gen AI Kick Drum Model on Your Old Linux Desktop with 6GB VRAM
#20Articles like this are why I come back to HN. Interesting technically, kinda novel and fun. Got me thinking about datasets that may be sitting on old HDD, got TBs of old video and audio from projects of past. Blogs like this help point the way.. Now if only I had the time..
If you know what you want to achieve you can asks claude/codex/glm whatever, to do the proof of concept first and Dave some time like that