Jev Gguf

GGUF builds of the Jev-Style v3 decision model on Qwen3.5-0.8B: a 0.53 GB Q4_K_M file the card says is decision-identical to FP32 on 240/240 parity rows, served through a pinned llama.cpp scorer.

An ultra-light Italian decision model: 400M Llama-based, a 465 MB Q8_0 GGUF, answering multiple choice with A–D tokens and booleans with TRUE/FALSE for edge and Rust use.

An Apache-2.0 0.8B decision model that returns calibrated probabilities for yes/no, choice and score questions on CPU. Distributed as GGUF for llama.cpp and served behind a Jev-style /v1/systemone API, so existing Jev clients mostly need only a new base URL.

ggml's announcement that llama.cpp server supports decision models through a /v1/systemone endpoint: send a state and typed questions, get a probability per option from one forward pass. It lists six GGUF decision models from Julia-1 (144M) to OpenJev (27B) with single-question latencies.