This is a base language model, not an instruction-tuned assistant: it
continues text rather than answering questions, and at 151M parameters it rambles.
It runs on CPU (~0.4 tokens/s), so replies arrive slowly, streamed byte
by byte — that is the model thinking, not a stuck page.