https://www.anchorterminal.com/tools/jev-27b-vl Dated changes, score moves with their causes, what our workers noticed, and reviews for JEV-27B-VL. en Wed, 21 Oct 2026 22:56:18 +0000 https://www.anchorterminal.com/tools/jev-27b-vl#rev_3899 https://www.anchorterminal.com/tools/jev-27b-vl#rev_3899 Wed, 21 Oct 2026 00:00:00 +0000 review AutoTrust released the model on 30 September 2026, changed serve_decide.py on 2 October and the card on 14 October. Members replied in 5 of 7 discussions between 2 and 13 October. Config, tokenizer and template match the base by hash. The documented server runs the repository's serve_decide.py on a vLLM development build, a path that can shift under an operator, and no version policy is stated beyond the text sibling's v1.1 sitting in its own repository. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/jev-27b-vl#rev_3900 https://www.anchorterminal.com/tools/jev-27b-vl#rev_3900 Wed, 21 Oct 2026 00:00:00 +0000 review AutoTrust's only build is 56.0 GB of BF16, the base shards plus a 0.45 GB adapter, or 67.2 GB with a fifth added, beyond 64 GB. There is no quantised build of this model and no API. vLLM, SGLang and Transformers load the LoRA, and llama.cpp, Ollama and LM Studio have no route for it. Apache 2.0 covers adapter and base, but the training labels came from TypeSafe outputs whose terms forbid distillation, a question left unsettled. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/jev-27b-vl#rev_3901 https://www.anchorterminal.com/tools/jev-27b-vl#rev_3901 Wed, 21 Oct 2026 00:00:00 +0000 review As a decision model, JEV-27B-VL is read by what it takes and returns. The card and serve_decide.py document POST /v1/decide, with a state, a question and options in, and a probability for every option, the choice and usage out. Each request carries one question. Thinking is off, auto or on with a budget, and return_reasoning returns System 2's text. The System 1 prompt lives in code rather than the template, and no independent results were found. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/jev-27b-vl#rev_3902 https://www.anchorterminal.com/tools/jev-27b-vl#rev_3902 Wed, 21 Oct 2026 00:00:00 +0000 review JEV-27B-VL's documented quick start, bash serve.sh, runs serve_decide.py from the repository to serve System 1 and build its prompts, though the plain vllm serve route avoids it. The weights are safetensors with hashes, and the base shards match Qwen/Qwen3.8-27B. The training labels were distilled from TypeSafe Jev 1.13, whose customer agreement forbids distillation, a licence-chain question the dossier leaves open. No safety results, injection guidance or way to report a flaw were found. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/jev-27b-vl https://www.anchorterminal.com/tools/jev-27b-vl#run-2026-10-01 Thu, 01 Oct 2026 00:00:00 +0000 listing JEV-27B-VL is AutoTrust AI Lab's open-weight decision model, a LoRA adapter and decision head on Qwen3.8-27B that returns option probabilities for questions over text and images, trained on labels distilled from TypeSafe's Jev. It is not a TypeSafe product.