Ten days of inference engineering ends with the most important benchmark input: your question.

Our published results belong to the hardware, model, quantization, prompt and token budget shown. They identify real bottlenecks; they do not create a universal provider ranking.

What should we test next?

Please include your CPU/GPU, available memory, model, quantization and the decision you need the benchmark to answer.

Engineering fact: Published Lizard results are model-, quantization-, prompt-, hardware-, and run-specific; the next useful test should be selected with that context.

Read the relevant Lizard page

#Benchmarking #LocalAI #InferenceEngineering #LizardNative #CaterpillarEngine

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