Run a vLLM Server on HF Jobs in One Command
The article explains how to run a private, OpenAI-compatible LLM endpoint on Hugging Face infrastructure with a single command, allowing quick testing and evaluation. It details the process of launching a server using the `hf jobs run` command, specifying GPU resources and exposing the model's port, and provides instructions for querying the model via curl or Python. The endpoint requires an HF token for access and is not publicly available.
More from Huggingface
LFM2.5-VL-3B for Better and Faster Vision Capabilities for the Edge
Thinking of ACE? We Can Do It with Fewer Tokens
Meta is back with Muse Glimmer: local, agentic, multimodal, and open source
