TypeSafe AI launches Jev, a hosted model for typed software decisions
Jev takes state and typed questions and returns probabilities. Early access via API, $0.042 per million input tokens; weights not stated.
In the wild, and mapped as it moves.
Jev takes state and typed questions and returns probabilities. Early access via API, $0.042 per million input tokens; weights not stated.
Shieldstral judges text or images against a policy you write and returns an unsafe score. Reported best F1 on several benchmarks; Apache-2.0.
Gemma-3-4B-based, 12 languages, text plus one image, with custom-policy mode. Open licence plus Gemma terms; card dated 2 June 2026.
Apache-2.0 judge on Granite 4.1 8B with a hybrid reasoning mode. Covers harm, groundedness and function-calling hallucination, plus custom criteria.
Predecessor to 3.5: 4B, 12 languages, 23 safety categories. Released 16 March 2026 under the NVIDIA open model licence plus Gemma terms.
20b and 120b Apache-2.0 models that classify text against a policy you supply at inference time, with configurable reasoning effort.
Apache-2.0 safety classifiers covering 119 languages with Safe, Controversial and Unsafe levels; Stream variants are also on the Hub.
For context: Llama and Qwen3-based preference scorers trained on about 26 million pairs. The 8B card reports 96.4 on RewardBench v1.
For context: a Qwen2.5-1.5B-based model that maps a query to a user-defined route and returns JSON. Released under the Katanemo licence.
For context: a dense 12B pruned from Llama 4 Scout that screens prompts and responses across 14 MLCommons hazard categories. Gated under the Llama 4 licence.