LlamaStation v0.9 ships multi-backend Windows GUI

This is a power-user frontend for people who want llama.cpp control without living in the terminal. The interesting part is not the UI itself, but the “no abstraction layer” philosophy: it turns a notoriously fiddly local-LLM stack into something you can operate like a real desktop app.

• –Direct subprocess control means fewer hidden defaults, which matters for squeezing performance out of local inference and multi-GPU setups
• –Backend switching across official llama.cpp, TurboQuant, AtomicChat, and BeeLlama makes it a practical testbed for experimental server features
• –Per-model profiles and live VRAM meters solve two of the biggest local-LLM pain points: configuration drift and not knowing why a load is failing
• –Voice mode plus headless mode broadens it beyond chat into automation, assistants, and server-style deployments
• –The main risk is ecosystem sprawl: supporting multiple forks and fast-moving backend features will likely create maintenance churn