 | vLLM has the ability to run .safetensors LLMs before they are converted to GGUF and represents a new engine to explore. I personally had never tried it out until u/krishna2910-amd/ u/mikkoph and u/sa1sr1 made it as easy as running llama.cpp in Lemonade:
This is an experimental backend for us in the sense that the essentials are implemented, but there are known rough edges. We want the community's feedback to see where and how far we should take this. If you find it interesting, please let us know your thoughts! Quick start guide: https://lemonade-server.ai/news/vllm-rocm.html GitHub: https://github.com/lemonade-sdk/lemonade Discord: https://discord.gg/5xXzkMu8Zk [link] [comments] |
vLLM ROCm has been added to Lemonade as an experimental backend
Reddit r/LocalLLaMA / 5/9/2026
📰 NewsDeveloper Stack & InfrastructureSignals & Early TrendsTools & Practical Usage
Key Points
- vLLM with ROCm support has been added to the Lemonade SDK as an experimental backend for running .safetensors LLMs before converting them to GGUF.
- Lemonade users can install and run the new backend with a simple command (e.g., installing vllm:rocm and running a specified model).
- The project notes that the backend is still experimental, with known rough edges, and is seeking community feedback to decide how far to develop it.
- A quick-start guide, GitHub repository, and Discord link are provided for getting started and discussing results.
- The update expands local LLM serving options on AMD/ROCm setups by integrating a different inference engine pathway into the Lemonade workflow.
