The Problem With Choosing a Local Model
Everyone has an opinion on which local LLM is best.
"Use Llama — it's the most popular." "Mistral 7B has the best quality." "Phi-3 Mini is small and efficient."
None of these claims come with numbers. Specifically: your numbers, on your hardware, for your workload.
I built a benchmarking system to change that. Three models, 30 prompts, full latency distribution, memory profiling per inference call, and a JSON validation layer to measure structured output reliability.
