Hey everyone, So the same model can behave differently depending on the inference engine (llama.cpp, vLLM, Ollama, SGLang, etc.), model quantization, chat template, or runtime version. Sometimes behavior breaks after upgrading a runtime or switching to a different model artifact,tool calling, structured output, streaming, or other How do you guys handle this. Have you ever ran into compatibility issues when switching inference engines, quantizations, or runtime versions? How do you people currently discover these issues? Documentation, GitHub issues, manual testing,or something else? any tools that runs reproducible compatibility tests or flags regressions across versions to include in workflow? a public compatibility matrix for models, quantizations, inference engines, and supported features, would be a nice-to-have? I'd especially appreciate examples of real problems. Thanks!   submitted by   /u/Top_Speaker_7785 [link]   [comments]