Lizard inference engineering: Context length belongs in lived performance history
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Inference Engineering · Day 27 · Evening
Conversation length changes the workload before decode begins.
As context grows, prompt processing and KV-cache pressure can change even when the model and hardware stay the same. Lizard records context tokens and includes a context bucket in comparable turn history.
That keeps a long-conversation slowdown from looking like an unexplained engine regression.
At what context length does your current local model begin to feel different?
Engineering fact: Lizard records context tokens and groups native turn history into context buckets because longer conversations change prefill and KV-cache costs.
#LizardNative #LizardLLM #LocalAI #GGUF #InferenceEngineering
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