vLLM ROCm Backend Added to Lemonade as Experimental Feature
Install the vllm:rocm backend in Lemonade and run a test model to evaluate ROCm GPU inference.
Configure Lemonade with the vllm:rocm backend, run Qwen3.5-0.8B-vLLM, and report performance metrics to the community.
Summary
The vLLM project has introduced a ROCm backend that can be added to the Lemonade server framework. This experimental backend allows users to run .safetensors LLMs directly before they are converted to GGUF format, providing a new engine for model exploration. Installation is straightforward: "lemonade backends install vllm:rocm" followed by a run command such as "lemonade run Qwen3.5-0.8B-vLLM". The quick‑start guide and GitHub repository are linked for community feedback. While the backend is functional, it has rough edges and is still under development. The announcement encourages users to test the backend and share performance data. This addition expands Lemonade’s support for AMD GPUs and opens new possibilities for low‑latency inference on ROCm hardware.
Key changes
- vLLM ROCm backend added to Lemonade as experimental
- Supports running .safetensors LLMs before GGUF conversion
- Installation via "lemonade backends install vllm:rocm"
- Run example: "lemonade run Qwen3.5-0.8B-vLLM"
- Quick start guide and GitHub repo provided
- Backend has rough edges but functional
- Enables ROCm GPU inference for LLMs in Lemonade