Small language models trained on consumer hardware can match or exceed much larger models on specialized domains, but memorization and domain mismatch remain key challenges—this work provides practical benchmarks and a reusable toolkit for building domain-specific SLMs.
A tutorial on building a small language model (11-12M parameters) from scratch on a single consumer GPU for Brazilian Portuguese legal and general text.