How many of you tried BeeLlama.cpp? How's it? Agentic coding possible with 8GB VRAM?
Summary
The article discusses BeeLlama.cpp, a fork offering advanced DFlash and TurboQuant features, and seeks community feedback on its performance for agentic coding on hardware with limited VRAM.
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@NFTCPS: Attention to those running large models locally! Someone has transformed llama.cpp into a performance beast — BeeLlama.cpp. With the same VRAM, inference speed triples and context capacity expands 7.5x. This isn't a slide deck; it's real benchmark data. It stuffs three top-tier optimizations into one codebase: DFlash speculative decoding…
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