GGUF builds of Decision-4B, an open-weight Jev-like decision model from Eval Engine, the AI arm of Chromia. Give it a state, a question, and a list of options. It answers with one letter. Runs in llama.cpp, Ollama, and on your phone. The Q4KM file is the one that powers Decision-4B in the Unbound app. All three are the LoRA merged into Qwen3.5-4B. The BF16 adapter scores 87.3% on the same panel. Use Q4KM for phones and laptops, Q80 or F16 when you have the memory. Full table and details on the adapter card. The reply is a single letter. toplogprobs gives the score for each option letter; softmax over the listed letters gives a probability per option. Input is a JSON object with state…