Everything you need to start self-hosting an open LLM.
Run it on your own hardware. No API keys. No per-token bill. Nothing leaves your machine.
The full path with
@vllm_project: batch inference in Python, an OpenAI-compatible API server in one command, and quantized models that cut an 8B from ~16GB of weights to a quarter of that while keeping 98-100% accuracy.
Walkthrough by
@cedricclyburn.