JEV-35B turns Qwen3.5-35B-A3B into a fast System 1 decision model, activating only around 3B of its 35B parameters per token. Apache 2.0.
🤖 https://modelscope.ai/collections/AutoTrust-Labs/JEV-35B
🏆 Outperforms JEV-27B-VL on the Decision Index public suite while retaining competitive visual decision performance.
⚡ Compare up to 256 text or image options in one pass, return calibrated probabilities, and reach around 204ms median single-request latency in the tested setup.
📦 The NVFP4 version is only 25.6GB and uses around 23GiB for weights, enabling local deployment on a single 32–48GB GPU.
🔍 Quantization preserves 96.6% of the BF16 model’s decisions with nearly unchanged latency and only a small benchmark drop.
🛠️ Start with the included vLLM script. Use /v1/decide for fast System 1 decisions or OpenAI-compatible endpoints for System 2 reasoning.