GGUF Support for Latent Reasoning Models

[Helldez]

I recently read the paper Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach (https://huggingface.co/papers/2502.05171), and it got me thinking about how this could work with llama.cpp. The idea of dynamically scaling compute at inference time by iterating in the latent space instead of generating extra tokens seems pretty interesting, especially for local LLM setups.

Would something like this be feasible with GGUF models in the future? I’m curious...