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shootstuff

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darkc0de/XORTRON.CriminalComputing.LARGE.2026.3:Devstral?

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Dset55

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shootstuff

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langtech-innovation/salamandra-guard-dataset

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Devstral?

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RomixERR/Pornmaster_v1-Z-Images-Turbo

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eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

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kpsss34/FHDR_Uncensored

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darkc0de/XORTRON.CriminalComputing.LARGE.2026.3

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reacted to John6666's post with 👍 1 day ago

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31800

If your Space stops working after restarting mainly for the last 5 days (https://discuss.huggingface.co/t/my-space-suddenly-went-offline-the-cpu-cannot-restart/151121/22), try some of following.
1. Add pydantic==2.10.6 to requirements.txt or upgrade Gradio to the latest version.
2. Upgrade PyTorch to 2.2.0 or later (torch>=2.2.0 for Zero GPU space).
3. Fix Transformers to 4.49.0 or earlier (transformers<=4.49.0for spaces using Transformers or Diffusers).
4. Fix huggingface_hub to the old version (huggingface_hub==0.25.2 for if an error like cached_download is not available occurs or inference does not work properly)
5. Specifying WORKDIR in Dockerfile may cause the application to fail to start with error 137. (Docker Spaces, https://discuss.huggingface.co/t/error-code-137-cache-error/152177)

About pydantic==2.10.6:
https://discuss.huggingface.co/t/error-no-api-found/146226
https://discuss.huggingface.co/t/internal-server-error-bool-not-iterable/149494

Edit:
Zero GPU space has been upgraded from A100 to H200.
This is likely the reason why older versions of PyTorch are no longer supported.
In fact, an error message to that effect was displayed.
zero-gpu-explorers/README#163

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reacted to darkc0de's post with 🤯 1 day ago

Post

3714

New updates to XORTRON
Try Criminal Computing at it's best
Actually Uncensored AI that's actually useful.
https://xortron-chat.hf.space
https://xortron.tech

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reacted to Fishtiks's post with 👍 1 day ago

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726

When you have good goals, along the lines of what will inevitably be implemented, the initial response is an uproar of "Why?!," followed by lazy attempts, and then, someone actually doing it right. Now, say you're the only driving force behind getting it right, and the rest want some other resource, like money. They will get the money, but not the influence, and the one with the influence, if pure in their goals, doesn't need the money, so ends up poor. I'm a ghostwriter. This is the ghostwriter's dilemma. I get things right often, but I can't touch the things. Shouldn't being right more often than the people that touch this stuff, alone, afford me access? Well, we're working on it.

reacted to Fishtiks's post with 👍 1 day ago

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1862

Have extra processing power in downtime? Have old devices you haven't used in years? I recommend primarily Folding@home to do protein folding on your GPUs, but also BOINC, particularly on Android and Apple devices, because of the lower power usage. I've been doing this, and get about 14,000 hours a week in, primarily for mapping cancer markers on BOINC on an Aiyara cluster of Androids. I also hold a sign out by the highway encouraging people to join BOINC. It was Dylan Bucci, a young promoter of BOINC on school's computers, who wished before he died to get as many people on as possible to do this, and in his honor, the Dylan Bucci challenge was implemented. No reason to wait for a challenge. If you care about such things, there is an associated cryptocurrency for such processing, but it's worth it to save lives.

I look forward to AI-related endeavors like this, and only know of NATIX Drive&, Acurast, and HYRA AI, all of which use Androids I'd rather devote to BOINC. However, they also allow one to be paid, and to totally devote old devices to the processing. On the same topic, DexPOINT monetizes your Android's Internet connection.

BOINC runs on Android, Apple, PCs of all sorts, Pi devices, Chrome devices, Fire Sticks, TV boxes, Android watches with the full OS, and all sorts of things that have Android or the ability to run Linux, although it will also run on Windows. Folding@home works best on PCs with modern NVIDIA GPUs, and in a cool room. You can also run BOINC on modern computers, but they must be throttled, because they often get too hot.