Slemify demonstrates how to fine-tune and serve Small Language Models (1-8B parameters) on Kubernetes using CPUs. It takes a single YAML configuration, generates synthetic training data via an LLM API, fine-tunes a base model on a Spot GPU, quantizes it, and deploys it for inference on CPU nodes with autoscaling.
☆24Oct 18, 2026Updated last week
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