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Show HN: Getting GLM 5.2 running on my slow computer

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Re: Show HN: Getting GLM 5.2 running on my slow computer

#264

I only have 16GB of RAM in my laptop, but I would love to run a powerful model like that even at 0.5 tokens/s. For the questions I am asking, such a speed is more than enough. If anyone has any suggestions, please let me know! I am not an expert on LLMs, just a humble mathematician.

Someone posted this fork, which should work in just 10 GB RAM, at least for another big model. I thought of your request and came back to spread the news :)

https://github.com/ErikTromp/colibri-hy3

Re: Show HN: Getting GLM 5.2 running on my slow computer

#266
post #75

Pretty cool! I've also been playing around with GLM 5.2 this week and was equally impressed. At work we're running it locally on some crazy expensive hardware as a test before starting another project so it's great to see people taking this massive FOSS model release and running it on an average machine, even if it's not terribly practical at this point. Nice work!

which hardware?

8 Nvidia B200s. Crazy from an individual perspective, costly for a small business!

Re: Show HN: Getting GLM 5.2 running on my slow computer

#267
post #260

Earlier quoted context omitted.

Yeah, I really should know. But I'm using whatever ollama gave me by default, which probably isn't optimal.

Ollama uses 4 bit quants and a very short context window by default. It can easily break on anything more complex than a simple chat.

Oh, the context window I overrode immediately, the default one can't even reach my prompt in opencode, it's pushed out by all the pre- and post-amble. But I should probably try something less compressed next time I bother.

Re: Show HN: Getting GLM 5.2 running on my slow computer

#269

I only have 16GB of RAM in my laptop, but I would love to run a powerful model like that even at 0.5 tokens/s. For the questions I am asking, such a speed is more than enough. If anyone has any suggestions, please let me know! I am not an expert on LLMs, just a humble mathematician.

Someone posted this fork, which should work in just 10 GB RAM, at least for another big model. I thought of your request and came back to spread the news :) https://github.com/ErikTromp/colibri-hy3

Thank you very much!
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