LocalLLaMA

localllama@sh.itjust.works

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Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.

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As ambassadors of the self-hosting machine learning community, we strive to support each other and share our enthusiasm in a positive constructive way.

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Rule 1 - No harassment or personal character attacks of community members. I.E no namecalling, no generalizing entire groups of people that make up our community, no baseless personal insults.

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Rule 3 - No comparing artificial intelligence/machine learning to simple text prediction algorithms. I.E statements such as "llms are basically just simple text predictions like what your phone keyboard autocorrect uses, and they're still using the same algorithms since <over 10 years ago>.

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OpenAI banned a user who reverse engineered his Samsung TV (discuss.tchncs.de)

submitted 1 week ago by Shatur@discuss.tchncs.de to c/localllama@sh.itjust.works

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Hacker reverse engineers his Samsung TV and finds on-device AI listening for your dog and baby, watching what you watch, and borrowing your soundbar's mic if the TV doesn't have one. Then OpenAI banned him for reverse-engineering it.

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[–] avidamoeba@lemmy.ca 1 point 1 week ago* (last edited 1 week ago)

If there's time and budget to play around with, perhaps get a "cheap" 2x R9700 + 128GB RAM system that can run Qwen 3.8 Flash Next and experiment. If it's useful enough for your use cases, then get big enough hardware that can run this, which is better than QFN. It would also run the unquantized QFN and the next Qwen Flash version.

You could also try them via their APIs or on cloud hardware you rent.

My workplace, a well know NA corporation, has DeepSeek 4.1 Flash deployed on-prem and it's in active use.

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