# Lory decision models for simulated survey responses > Lory fine-tunes Kev at 4B and 27B for simulated survey respondents. Its preview tests economic consistency; real human responses are unvalidated. Updated 2026-11-05 (Australia/Adelaide) By eltokh7 · Public release: 2026-11-04 · OPEN A public-preview family for simulated survey respondents, fine-tuned from [Kev]() at 4B and 27B. It returns option probabilities from persona traits and a question, with training intended to make answers respond to prices, odds and payoffs. The 27B release has merged weights; 4B has a LoRA adapter and pointer head. Its tests check economic consistency, with no validation against real people. ## Facts - Size: 4B and 27B - Licence: Apache-2.0 tags on both model cards - Inputs: English personas and survey questions, using US-style amounts and settings - Access: [kev]().serve at the pinned [Kev]() revision; /v1/systemone; EDSL survey adapter included ## Claims and sources - **VENDOR-REPORTED**: The maker reports Lory-27B scoring 88 on its own nine-family DLS test against Kev-27B 71, and 92 against 90 on 513 contrasts written separately by GPT-6.1-sol. The blind test measures direction of movement, not its size. Each size has one training seed. [source]() - **VENDOR-REPORTED**: Lory-4B scores 79 on DLS and 81 on the blind test, against released Kev-4B 53 and 67. Its framing-invariance score is 56/100, against 66/100 for Lory-27B. Economic consistency does not establish realistic human responses. [source]() ## Links - [Source: 27B card and merged weights]() - [Source: 4B card and adapter]() ## Related projects No related projects are listed in the registry.