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Sharp v22.1 template reduces Qwen model output tokens by 42% without speed loss, integrated into an NInfer fork for 5090 via C++ modifications.
A user benchmarks the Nvidia 5090 RTX GPU for LLM inference using llama.cpp, measuring prompt processing and token generation at various power levels, finding that prompt processing is more sensitive to power limits than token generation, and noting differences from the 4090 RTX.