Tensward releases local inference tuning tool 0.4.2
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Tensward has released version 0.4.2 of its local LLM inference tuning tool, licensed under Apache-2.0 and free to use. It drives vLLM or llama.cpp on the local machine (but does not handle installation), tries only one parameter change at a time, and keeps that change only when it measures faster and the answer passes the user's check. Usage limits: the free version supports only one GPU and one Tensward attempt at a time, and all numbers are measured locally. It will not stop or reconfigure a running server, but GPU memory must be free during measurement; if a process is occupying it, it will identify that process and refuse to start. No configuration is deployed until the user exports or deploys it.
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- Hacker News AIShow HN: Tensward – Local AI inference optimisation
Tensward is an Apache-2.0 tool that measures how your LLM is served on your own machine by starting its own copy of vLLM or llama.cpp on a local port, sending a realistic workload, and reading engine and GPU metrics. It offers one flag change at a time, measures it, compares answers before and after, and keeps the change only if it is faster and the answers pass your check; it never stops or reconfigures your running server. It supports NVIDIA and Apple Silicon hardware, and the post includes two L4 case studies showing gains such as +40% requests/s and first word −47% on llama.cpp, and first word 19 s → 0.30 s on vLLM.
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