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* Include unified vision layers in memory prediction For newer vision models with a single gguf, include the projection estimates. * Adjust CLI to handle both styles of vision model metadata * Wire up new tokenizers for new engine If we're loading the new engine, utilize the new model text processor instead of calling into cgo wrappers for llama.cpp. This also cleans up some tech debt from the older tokenization flow for the C++ server which was no longer used. This also adjusts the grammar handling logic to pass through to the new engine instead of utilizing the cgo schema to grammar call. * Lay foundation for auto selection of new engine