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
The Mule carries more than models. We鈥檙e 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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'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
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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
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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
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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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1/8 Meet ModelMule. Stubborn about freedom of weights. We're building a community to help you find AI models that fit your machine, understand the trade-offs and keep AI local. The plan: shared knowledge, community funding and independent distribution. modelmule.com
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2/8 Crowdsourcing means building this together. Bring model suggestions, reproducible hardware tests, loading guides, bug reports and code. Tell us what you want to run and on which machine. Useful evidence beats another unexplained 'best model' ranking.
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