An AI engineer documents building Hobson, a 2-billion-parameter calibrated classifier model by fine-tuning Qwen3.5-2B with a custom pointer head and LoRA adapter. The model achieves top performance in its size range on the JevBench leaderboard, demonstrating superior calibration and accuracy compared to existing alternatives through careful architectural choices and self-distillation training techniques.
typed-lm is an open-source Rust framework that converts large language models like Llama and Qwen into typed semantic-routing APIs, enabling deterministic inference with millisecond latency by returning structured outputs (booleans, choices, scores) instead of generated text. It includes a trainer for adapter-based specialization and supports quantization for efficient deployment on GPU and CPU.