vLLM self-hosting guide: quantize an 8B model to quarter size with 98-100% accuracy
vllm_project · x · 2026-09-16
Red Hat AI published a full walkthrough for self-hosting open LLMs on your own hardware—no API keys, no per-token billing, nothing leaves your machine.
The path uses vLLM for:
- batch inference in Python
- an OpenAI-compatible API server launched in one command
- quantization that shrinks an 8B model from 16GB of weights to a quarter of that while retaining 98-100% accuracy
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