[celnardur]

Yes, but which of the state of the art models that offer the best results, are you allowed to do this with? As far as I've seen the models that you can host locally are not the ones being praised left and right in these articles. My company actually allows people to use a hosted version of Microsoft copilot, but most people don't because it's still not that much of a productivity boost (if any).

[genewitch]

Deepseek isn't good enough? You need a beefy GPU cluster but I bet it would be fine until the large llama is better at coding, and I'm certain there will be other large models for LLM. Now if there's some new technology around the corner, someone might be able to build a moat, but in a surprising twist, Facebook did us all a favor by releasing their weights back when; there's no moat possible, in my estimation, with LLMs as it stands today. Not even "multi-model" implementations. Which I have at home, too.

Say oai implements something that makes their service 2x better. Just using it for a while should give people who live and breathe this stuff enough information to tease out how to implement something like it, and eventually it'll make it into the local-only applications, and models.

[anonymousDan]

Are there any resources on how much it costs to run the full deep seek? And how to do it?

[genewitch]

I can fill in anything missing, i would like to go to bed but i did't want to leave anyone hanging. had to come edit a comment i made from my phone, and my phone also doesn't show me replies (i use materialistic, is there a better app?)

https://getdeploying.com/guides/run-deepseek-r1 this is the "how to do it"

https://news.ycombinator.com/item?id=42897205 posted here, a link to how to set it up on an AMD Epyc machine, ~$2000. IIRC a few of the comments discuss how many GPUs you'd need (a lot of the 80GB GPUs, 12-16 i think), plus the mainboards and PSUs and things. however to just run the largest deepseek you merely need memory to hold the model and the context, plus ~10% and i forget why +10% but that's my hedge to be more accurate.

note: i have not checked if LM Studio can run the large deepseek model; i can't fathom a reason it couldn't, at least on the Epyc CPU only build.

note too: I just asked in their discord and it appears "any GGUF model will load if you have the memory for it" - "GGUF" is like the format the model is in. Someone will take whatever format mistral or facebook or whoever publishes and convert it to GGUF format, and from there, someone will start to quantize the models into smaller files (with less ability) as GGUF.

[bogtog]

That's $2000 but for just 3.5-4.25 tokens/s? I'm hesitant to say that 4 tokens/s is useless, but that is a tremendous downgrade (although perhaps some smaller model would be usable)

[genewitch]

right, but that is CPU only, there's no "tensor cores" in a GPU getting lit up for that 4t/s. So minimum to actually run deepseek is $2000, and the max is, well it's basically whatever you can afford, based on your needs. if you're only running single prompts at any given time, you only need the number of GPUs that will fit the model plus the context (as i mentioned), at minimum your outlay is going to be on the order of $130,000 in just GPUs.

If i can find it later, as i couldn't find it last night when i replied, there is an article that explains how to start adding consumer GPUs or even 1-2 Nvidia A100 80GB GPUs to the epyc build, to speed that up. I have a vague recollection that can get you up to 20t/s or thereabouts, but don't quote me on that, it's been a while.