OpenLLM
Runs open-source LLMs as OpenAI-compatible API endpoints with a single command and built-in chat UI.
About
A single openllm serve command turns an open-weight model into an OpenAI-compatible API endpoint with a web chat UI at /chat, which is the entire pitch of OpenLLM, BentoML's LLM serving tool. The CLI pulls from a curated model repository covering Llama 3 and 4, Mistral, Qwen 2.5, DeepSeek, Phi-4, and Gemma variants, runs them on vLLM-backed inference for production throughput, and exposes chat completions that work as drop-in replacements for OpenAI clients. Installation is pip install openllm, and an interactive openllm hello command walks through the available models. Because it is built on BentoML, the same service definition deploys to BentoCloud for managed autoscaling, though nothing requires the hosted platform and self-hosting on your own GPUs is the default path. The project is Apache-2.0 licensed with about 12.4k GitHub stars and stays actively maintained by the BentoML team. Developers reach for it when they want the shortest path from a Hugging Face model name to a production-shaped, OpenAI-compatible endpoint on their own hardware.
Should you use OpenLLM?
Pick it when
You want the shortest path from a model name to an OpenAI-compatible endpoint with a chat UI on your own GPU, backed by vLLM, and may later deploy the same BentoML service to BentoCloud without rewriting it.
Look elsewhere when
Skip it if you need fine control over engine flags or models outside its curated repository, where running vLLM or SGLang directly is more flexible, or if you have no GPU, where Ollama or llama.cpp run on CPU.
Alternatives to OpenLLM
- vLLM
The same engine underneath with every flag exposed and 200-plus architectures, but no curated model catalog or built-in chat UI.
- BentoML
The general serving framework OpenLLM is built on; pick it to package custom pipelines or non-LLM models rather than a single model name.
- Ollama
Runs on CPU-only laptops with one-command pulls, but is built for local use rather than vLLM-backed multi-user throughput.
- Xinference
Serves embeddings, speech, and image models alongside LLMs from one API, a wider scope than OpenLLM's LLM-only focus.
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Details
- Category
- LLM Inference & Serving
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Easy (2/5)
- License
- Apache-2.0
- Added
- Jul 29, 2026