/b/ - Random

A place for random musings and discussions.

Going back to BasicsAs we discussed and shared earlier, I am going bac...
Social Media Crossposts Policy and Threads on /b/ Since anons bring up this issue repeatedly, let's ...
Update on Threads which were deleted between 12 DeAs you guys know that certain threads were randoml...
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Serious thread about AI/LLMs

Anonymous

IN

V1Oo1c

No.469134

Please no bakar in this thread, serious answers wonly

What resources/compute power are realistically needed to train a foundational model?

How many and which type of processors and their cost?

How many TBs of RAM and which type and their cost?

How many TBs of GPUs and which type and their cost?

Give the bare minimum of these resources and any other resources that are needed to train a basic LLM foundational model.

Thank you

Anonymous

IN

YAd+pm

No.469135

>>469134(OP)

Anonymous

IN

rKhdSx

No.469136

>>469134(OP)

abhi behen ke saheliya kyu post karra pajeet, ja jaake /g/ pe post kar

Anonymous

IN

A3x3hv

No.469152

>>469134(OP)

Nothing you can get from here, go to local models threads in /g/ and ask there instead. Though they will tell you to just read OP guides

My high level understanding of it is

a) Install le model running software

b) Download le model(Usually 10s and 100s of gigabytes)

c) Attach le model to le runner software and you got a completely offline chatgpt

>but saar I want to train AI saars

That's more foundational stuff, I recommend you to start first researching about SVMs and implementing a basic nueral network and best resource is AI itself and look in to tensorflow tutorials.

Anonymous

IN

LIGE4M

No.469161

>>469134(OP)

You shouldn't worry about AI, you should worry about upcoming capital war.

Look it up.

Anonymous

IN

xOLz7k

No.469174

>>469134(OP)

Post in /infra/ if you want serious thread. You will nothing on /b/.

BR

NIey5E

No.469178

>>469134(OP)

Some IITian trained a LLM 5 billion parametrs, in 1 lakh rupees. On 8 H200 GPUs. You can't train them on your local system. You can fine tune them. I recently fine tuned a model on my dataset, i have 12gb vram and 32gb ram.

BR

NIey5E

No.469180

>>469134(OP)

Have atleast 2 lakh rupees. Get the code base and the database ready. Have a good amount of storage SSD and then rent multiple GPUs on runpod and run the training possibly for days.. it's a tedious task

BR

NIey5E

No.469195

>>469134(OP)

For example Basic lora training on float 8 precision takes 24 hours on my system. Training a swi transformer from scratch takes 3 days

Anonymous

IN

V1Oo1c

No.469198

>>469152

thank you for the reply, I wanted to know how much compute power and resources are needed to train a foundational model, not that I want to train one myself

All this AI jazz had me curious about the question since

>0 foundational models

keeps getting posted often

Don't WITCH companies or the gormint have the money for those resources?

>>469161

Links share karein saar

>>469174

I will post in /b/ nig­ger because there is where the anons are and the relevant replies will be there amongst the shitposts, all other boards are dead, also this is more /g/ than /infra/ tbh

>>469178

>>469180

Interesting, what did he train though?

>>469135

>>469136

arre gawaro

BR

NIey5E

No.469261

>>469198

https&x2F;&x2F;wwwredditcom&x2F;r&x2F;LocalLLaMA&x2F;s&x2F;x1kPd9nUpg

Read more about it here also check his GitHub repo

(Text Content Sanitized Too.)

Anonymous

IN

xOLz7k

No.469262

>>469198

Go ahead that, fag. Watch this thread either get derailed or die.

Anonymous

IN

V1Oo1c

No.469264

>>469261

thanks

why are you banned though? you are one of the anons who makes good contributions and is knowledgeable

Anonymous

IN

A3x3hv

No.469276

>>469198

>compute power and resources

I tried running it in my 50000 rs lap. Took half an hour to reply.

Anonymous

IN

v521WR

No.469282

>>469134(OP)

YE TOH GOBAR KA PAHAAD HAI YAAR

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