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Show HN: Can I run this LLM? (locally)

can-i-run-this-llm-blue.vercel.app

1–10 of 55 posts

Show HN: Can I run this LLM? (locally)

#1
One of the most frequent questions one faces while running LLMs locally is: I have xx RAM and yy GPU, Can I run zz LLM model ? I have vibe coded a simple application to help you with just that.

Update: A lot of great feedback for me to improve the app. Thank you all.

Show HN: Can I run this LLM? (locally)
can-i-run-this-llm-blue.vercel.app

Re: Show HN: Can I run this LLM? (locally)

#2
And herein lies the problem with vibe coding - accuracy is wanting.

I can absolutely run models that this site says cannot be run. Shared RAM is a thing - even with limited VRAM, shared RAM can compensate to run larger models. (Slowly, admittedly, but they work.)

Re: Show HN: Can I run this LLM? (locally)

#3

And herein lies the problem with vibe coding - accuracy is wanting. I can absolutely run models that this site says cannot be run. Shared RAM is a thing - even with limited VRAM, shared RAM can compensate to run larger models. (Slowly, admittedly, but they work.)

yes I agree that you can run. I have personally run Ollama on a 2020 intel macbook pro. Its not a problem of vibe coding, but of the choice of logic i went with.

Re: Show HN: Can I run this LLM? (locally)

#4

And herein lies the problem with vibe coding - accuracy is wanting. I can absolutely run models that this site says cannot be run. Shared RAM is a thing - even with limited VRAM, shared RAM can compensate to run larger models. (Slowly, admittedly, but they work.)

thanks for your feedback, there is room to show how fast or slow the model will run. I will try to update the app

Re: Show HN: Can I run this LLM? (locally)

#10

And herein lies the problem with vibe coding - accuracy is wanting. I can absolutely run models that this site says cannot be run. Shared RAM is a thing - even with limited VRAM, shared RAM can compensate to run larger models. (Slowly, admittedly, but they work.)

Also quantization and allocation strategies are a big thing for local usage. 16gb vram don't seem a lot, but you can run recent 32b model in IQ3 with their full 128k context if you allocate the kv matrix on system memory, with 15t/s and a decent prompt processing speed (just above 1000t/s on my hardware)
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