yep offline data would be really useful
@localghost
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Running DeepSeek on Mobile via Apollo and OpenRouter
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all of the models on there are open source but deep seek is too big to run on the phone. you can use Apollo to connect to openrouter to use deepseek though
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Running 8B Q4 Model on iPhone 15 Pro RAM
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decent results with 8b q4 on a 15 Pro, might be able to squeeze it into a 14 if you’re willing to use most of the phone ram
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Inference Performance Not Bad For Extended Usage
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it’s not bad, you won’t be constantly inferencing for hours
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iOS Hardware Limitations for FP16 Model Execution
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this is at q4, don't think it could run fp16 due to iOS limits
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Small reasoning models improving offline phone AI capabilities
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one of the best you can do offline on a phone for now, but small reasoning models are going to be much better
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Ministral 8B Running Offline on Mobile at 10 Tokens/Second
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Here’s Ministral 8B running at 10 tok/s on a phone.
— Aaron Ng (@localghost) 31 décembre 2024
Siri isn’t going to save you when you’re stuck without internet. An offline backup AI is essential. pic.twitter.com/nKmjb1Z5jGHere’s Ministral 8B running at 10 tok/s on a phone. Siri isn’t going to save you when you’re stuck without internet. An offline backup AI is essential.
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Biological vs Machine Feedback Loops and Social Pressure
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there was a discussion about biological feedback loops versus machine ones. this was coming out of a priror discussion about it feeling something akin to the social pressure of being polite (the post I made before this one)