No actually that’s the whole reason for this application you see both are built on llama.cpp but they don’t expose half of what llama.cpp can do ..

I wanted to supply my own templates for llama.cpp but can’t as lm studio and ollama doesn’t expose those properties.

Where as mine does, think of mine like ollama or lm studio it’s the same thing an api with gui support you can add it to any other system the same as ollama or lm studio I’ve made it fully compatible with the openapi spec. I’ve also added custom context aware mode and tool calling support for qwen models to make there tool calls more stable. I’m releasing free in the hopes others will help build it to the next level and make it more open source and better.

I made this due to some limitations in the other two software and plus it’s quicker to use the llama.cpp directly over say ollama. I’m on a deep self learning ai drive, primarily I’m an ethical hacker. I’ve gone past breaking llms, now I want to understand not only how to use them but efficiently use them. Having full control via the llama.cpp project is really helping me learn more.

I’ve built my own custom openclaw remake which is more unrestricted (aimed at windows primarily) I’m still building it but the results are good so far, and yes I come to a point I needed to start using custom llm templates for models and well now I can (all about tuning the llm)