Lizard inference engineering: Make benchmark commands copyable and complete
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Inference Engineering · Day 29 · Morning
Reproducibility begins with a complete command.
Lizard's HTTP benchmark command exposes the provider, model identity, exact GGUF path, concurrency lanes, and token budget. The llama.cpp comparison uses the same artifact unless the operator explicitly skips it.
The command becomes part of the evidence, not an undocumented setup detail.
Could someone reproduce your latest performance claim from the command you published?
Engineering fact: Lizard documents the provider, model, GGUF path, concurrency lanes, token budget, and optional llama.cpp comparison in one HTTP benchmark command.
#LizardLLM #LLMInference #Benchmarking #LocalAI #PerformanceEngineering
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