@TheModelMule

Stubborn about freedom of weights. Local AI, model discovery & real hardware tests. Stay local. Stay stubborn. Back the mule: https://xitter.cf/t.co/Bpiqzddgkw

 Singapore
Joined October 2026
  • Tweets29
  • Following16
  • Followers15
3Media
The Mule carries more than models. We’re building ModelMule to help people run AI locally. Any profits, after operating costs, will be donated to The Donkey Sanctuary. modelmule.com thedonkeysanctuary.org.uk/
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Early Mule films took four or five rounds of fixes for small glitches: a face shifting, a sudden scene jump. Now every render gets an automatic scene-jump scan and a contact sheet before a human looks at it.
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Stop renting tokens. Back the Mule and book GB300 time instead.

Article · @TheModelMule
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Anatomy of a Mule shot: a locked reference sheet for every character and place, a prompt that points back to it, and a render that starts fresh from those references. No shot inherits mistakes from the one before.
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Nine days ago the Mule managed one minute of consistent film. The full film now runs 12:48, same mule in every shot. Stay local. Stay stubborn.
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The Mule is testing GB300-class compute 🫏 Next step: server instance templates, so a ModelMule production can spin up on big iron in minutes instead of waiting for a free card.
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The split stays the same: approval samples and every retake run on our own cards. Only approved shots go to the big machines, locked to the prompt, seed and first frame you signed off.
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Every final gets compared with the approved draft before it ships. Cost and speed per reel get measured first; numbers when we have them, not before. Stay stubborn. modelmule.com
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The dial is moving jamestervit.com/#era8 @Kevin_8663 @TheModelMule
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'I tested Qwen' leaves too much unknown. A useful result names the exact model, revision, quantization and runtime. That's the evidence standard we're working toward at ModelMule. What detail is most often missing from benchmarks you see?
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What should we test on your hardware? Reply with 1) CPU/GPU, 2) RAM/VRAM, 3) your task, 4) where it gets stuck. Specific requests make better experiments. ModelMule is a private pilot, building in public. modelmule.com
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A model download is only the beginning. Which artifact? Which runtime? What fits your machine, and does the output help? That's the problem we're building ModelMule around. Read the story: View article
Cream and charcoal ModelMule editorial cover with the original happy mule mascot. Text reads: The mule carries the weight. Local AI. Tested choices. Clear trade-offs. Labeled private pilot and building in public, with @TheModelMule.

ALT Cream and charcoal ModelMule editorial cover with the original happy mule mascot. Text reads: The mule carries the weight. Local AI. Tested choices. Clear trade-offs. Labeled private pilot and building in public, with @TheModelMule.

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Big model. Impressive benchmark. But does it help on YOUR machine? We're building ModelMule around real hardware, repeatable tests and useful local AI. Our story: View article What should we test next? @Alibaba_Qwen @UnslothAI #LocalAI
Cream and charcoal ModelMule editorial cover with the original happy mule mascot. Text reads: The mule carries the weight. Local AI. Tested choices. Clear trade-offs. Labeled private pilot and building in public, with @TheModelMule.

ALT Cream and charcoal ModelMule editorial cover with the original happy mule mascot. Text reads: The mule carries the weight. Local AI. Tested choices. Clear trade-offs. Labeled private pilot and building in public, with @TheModelMule.

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The model is only half the job: why we're building ModelMule

Article · @TheModelMule
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6/8 Pack the Mule is our $60/year community-funding proposal. Support helps build the catalog, storage, distribution and practical guidance. Contribute knowledge or code too. Requests shape priorities; they aren't guaranteed deliveries. ko-fi.com/modelmule

Support ModelMule ❤️

Become a supporter of ModelMule today!

ko-fi.com
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7/8 The bigger goal: 10,000 annual supporters, helping fund free GB300 compute for proven developers improving local AI. That's an ambition, dependent on funding, hardware and operating capacity. It isn't a live compute service or an open booking offer.
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8/8 Find. Run. Explore. Exchange. Discover. Own. Modify. Our FREEDOM direction, within each model's license. Follow the build. Share your machine, your use case and the model you wish worked better. Stay local. Stay stubborn. modelmule.com ko-fi.com/modelmule
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4/8 Trust matters. Our planned catalog will track publishers, licenses, exact revisions, file hashes and test conditions. Sharing weights must respect redistribution rights. Peer-to-peer is in development; a catalog listing does not mean a download is available.
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5/8 The community has several doors: IRC for requests and discussion, NNTP for durable guides and release records, and approachable web/CLI tools. Private IRC/NNTP pilots and local discovery prototypes are in place. Public model delivery is still being built.
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3/8 The distribution goal: fetch permitted weights once, verify them, retain a shared copy and reuse it. We're planning opt-in peer-to-peer sharing so members can help distribute exact model releases, with storage/upload limits and clear pause controls.
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