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Source channel @githubtrending · Post #14974 · Jul 19

#cplusplus ik_llama.cpp is an improved version of llama.cpp that runs faster on CPUs and hybrid GPU/CPU setups. It supports many new advanced quantization methods, which help models use less memory and run more efficiently. It also offers better performance for special models like DeepSeek and MoE, with faster prompt processing and token generation. You can run it on various hardware, including Android, and it has features to control where model data is stored (CPU or GPU). This means you get quicker AI responses and can handle bigger or more complex models smoothly on your computer or device[2][1][4]. https://github.com/ikawrakow/ik_llama.cpp

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🦅 [ perspective ix ]

@perspectiveix · Post #1563 · 09/25/2018, 08:00 AM

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💰Gig Economy Workers Are Earning Half What They Did Five Years Ago More people are working for ride-sharing and delivery companies but on average they’re making less. On average, drivers who transport people (#Uber or #Lyft) or things (#UberEats or #Postmates) through an app made 53 percent less in 2017 than they did in 2013, according to a new study by the JPMorgan Chase Institute. The average monthly payments to those who worked for a transportation app in a given month declined to $783 from $1,469. Meanwhile, people working for leasing apps — #Airbnb, Turo, Parklee and other apps that let you rent assets like your home, car or parking space — saw their incomes from those platforms rise 69 percent to $1,736 on average. This is happening as online gig work has become more popular, thanks in large part to the growth in the number transportation jobs. 🚀@PerspectiveIX via Recode.

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