My office computer has a Ryzen 7 5700, RX 580x, and 32gb of ram. Running ollama with deepseekv2 or llama3 is much slower than chatgpt in the browser. Same with my newer, more powerful home computer.
What kind of hardware do you need to run with comparable responsiveness to chatgpt? How much does it cost? Presuming such hardware is commercial, where do you find it?
Generally you need between $8-10,000 worth of equipment to get a relative responsiveness from a self-hosted LLM.
Anyone downvoting clearly doesn’t understand the hardware requirements to be able to run an LLM with a significant model that rivals ChatGPT. ChatGPT is a multi-billion dollar AI cluster…
OP specifically asked what kind of hardware you need to run a similar AI model with the same relative responsiveness, and GPT4 has 1.8 trillion parameters… Why would you lie and pretend like you can run a model like that on a fucking raspberry pi? You’re living in a dream world… Offline models like that require 128 GB of RAM which is $900-1200 in RAM alone…
It depends on what you mean by “relative responsiveness”, but you can absolutely get ~4 tokens/sec of performance on R1 671b (Q4 quantized) from a system costing a fraction of the number you quote.
This is the point everyone downvoting me seems to be missing. OP wanted something comparable to the responsiveness of chat.chatgpt.com… Which is simply not possible without insane hardware. Like sure, if you don’t care about token generation you can install an LLM on incredibly underpowered hardware and it technically works, but that’s not at all what OP was asking for. They wanted a comparable experience. Which requires a lot of money.
Yeah I definitely get your point (and I didn’t downvote you, for the record). But I will note that ChatGPT generates text way faster than most people can read, and 4 tokens/second, while perhaps slower than reading speed for some people, is not that bad in my experience.
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