Lemonade v10.7 release and project organization update

Today's [v10.7 release](https://github.com/lemonade-sdk/lemonade/releases/tag/v10.7.0) is the start of an exciting new chapter for the Lemonade project, so I thought I should share an project-level update. Lemonade's roadmap and development is now driven by 6 [working groups](https://lemonade-server.ai/docs/dev/working-groups/), 4 of which are led by non-AMDers. Here are highlights from 3 of the groups in the v10.7 release, which had 19 contributors. ## Local Omni Models True omni-modal chat, including image gen/editing, by seamlessly combining multiple backends and models. v10.7 makes these [LMX-Omni](https://huggingface.co/lemonade-sdk/LMX-Omni-52B-Halo) virtual models compatible with Open WebUI and other OpenAI clients that support multimedia rendering. ## Auto Tuning Every system should get the best performance, without users worrying about optimizing flags. v10.7 kicks this off by adding the `lemonade bench` CLI tool, which collects apples-to-apples LLM performance data across llama.cpp, FastFlowLM, and vLLM. ## Cross-Vendor Support Lemonade has its best chance at its mission of advancing local AI if it gives a great experience on every platform. v10.7 adds CUDA backends for llama.cpp and stable-diffusion.cpp, as well as Vulkan for sd-cpp, with more to come. As of v10.7, the LMX-Omni virtual models are now GPU accelerated on AMD, Apple Silicon, Nvidia, and Intel systems. ## What's Next You can check out the [working group roadmaps here](https://lemonade-server.ai/docs/dev/working-groups/). If you like what we're up to, please give me your feedback here, star the repo, and join the bi-weekly public meetings on the [Lemonade Discord](https://discord.gg/5xXzkMu8Zk)!