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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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@githubtrending · Post #14959 · 07/14/2025, 01:00 PM

#javascript#cheerp#cheerpx#cpp#lwip#repl#tailscale#vm#wasm#webassembly#webvm#xterm_js WebVM lets you run a full Linux system directly in your web browser without needing a server. It uses a special engine called CheerpX to safely run unmodified Linux programs by converting x86 code to WebAssembly. You get a real Debian Linux environment with many tools, and it supports networking through Tailscale VPN, so your browser VM can connect securely to the internet. You can also customize and deploy your own WebVM easily using GitHub, making it great for development, testing, or learning Linux without installing anything. This means you can have a powerful, private Linux machine anytime, anywhere, just in your browser[1][2][3]. https://github.com/leaningtech/webvm