Scira

Amos 1 Large is Scira's open-weight Apache 2.0 decision model, a 27B decoder fine-tuned from Qwen3.8-27B. It returns a calibrated probability per answer in one pass, not chat text. It suits multi-step questions and long policies, with a 128K context. English only.

Amos 1 Mini is Scira's open-weight Apache 2.0 decision model, a 0.5B encoder that answers every question in one pass on a CPU. It returns a calibrated probability per answer, not chat text. It suits simple decisions and reads 9K tokens per pass. English only.

Amos 1 Small is Scira's open-weight Apache 2.0 decision model, a 2B decoder fine-tuned from Qwen3.5-2B. It returns a calibrated probability per answer in one pass instead of chat text. It is built for volume and for cases with photos, with a 256K context. English only.