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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

#171

Earlier quoted context omitted.

For 10k you can buy a used dual socket Intel or amd based rackmount server with a terabyte of ram, and run models on cpu only at a reasonable speed. Same server would have been 4-5k a couple years ago before ram price rise. Or buy one on eBay with 512GB that has half its slots populated and then buy the matching 512GB kit to add.

Which CPU gen are you suggesting, is there any writeup on such setup where In my experience with rig half that cost, entire exercise of running coding models locally has been a huge disappointment. Cost/Value when compared to cloud services is just not there, but I see the merit for those who value privacy over quality of output and want a backup of huge condensed corpus of data within their control. Kudos to OP thou…

I would suspect that one would buy based on mem-bus & PCIe bus speeds more than CPU for this, and just dial down the CPU parameters to save power. Most of the time and power will be consumed by memory and bus transfers because the CPU will mostly be waiting to the right set of weights and factors to multiply.

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

#176
After spending way too much time with Fable a few days ago, I noticed a new hallmark of AI generated text is using the word "honest" everywhere, in a somewhat self congratulating way.

Some things that give it away to me:

- "Honest numbers (WSL2, 12 cores, 25 GB RAM, NVMe via VHDX)"

- "an honest peak projection (working set, KV, MTP row, reconstruction buffers) so the kernel OOM-killer never fires."

- "Honest caveat from the same measurement: ..."

It's the new "It's not X, it's Y". I have no issue with this, I just found it amusing.

Cool project btw!

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

#177

Earlier quoted context omitted.

I think there is a good sized population of people who absolutely don't want to submit everything they do to an off site service, or let their content be used for unknown training purposes, and will tolerate slowness at 1 to 10 tok/s as a tradeoff. Or people who want or need to run an uncensored (abliterated) gguf file to deal with controversial topics that a paid LLM service will refuse to work with or ban you for.

Not just controversial but also regulated areas. Virtually every law firm would be interested on locally-hosted AI at a reasonable price. So too ever medical research lab. Every CGI firm doing work for film/TV. And all the video game developers.

Do they care about locally-hosted, or only about self-hosted? I'm not really clear why a local box would be any better than running on a private AWS instance in any of these scenarios...

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

#179

After spending way too much time with Fable a few days ago, I noticed a new hallmark of AI generated text is using the word "honest" everywhere, in a somewhat self congratulating way. Some things that give it away to me: - "Honest numbers (WSL2, 12 cores, 25 GB RAM, NVMe via VHDX)" - "an honest peak projection (working set, KV, MTP row, reconstruction buffers) so the kernel OOM-killer never fires." - "Honest caveat f…

It's as if it's sucking up to me or apologizing at every turn, even when it's done exactly what I've asked. Seems related to sycophancy, but different? (i.e. rather than unconditionally affirming the user it's unconditionally expecting to disappoint)

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

#180

After spending way too much time with Fable a few days ago, I noticed a new hallmark of AI generated text is using the word "honest" everywhere, in a somewhat self congratulating way. Some things that give it away to me: - "Honest numbers (WSL2, 12 cores, 25 GB RAM, NVMe via VHDX)" - "an honest peak projection (working set, KV, MTP row, reconstruction buffers) so the kernel OOM-killer never fires." - "Honest caveat f…

I suspect it's a signature of anti-fabrication training.
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