AI Model2026
Generates calibrated decisions (choice/score/noul) from a prompt and optional images, up to 256 options. Routed MoE experts are quantized to NVIDIA NVFP4 to reduce weights to ~25.6 GB and GPU memory to ~23.3 GiB; provided as a vLLM-compatible System 1 decision model with a /v1/decide endpoint.
AI Model2026
A System 1 multimodal decision model that picks among up to 256 options and returns calibrated probabilities for choice, yes/no and 0–5 score decisions from text and images. Fine-tuned on Qwen3.5-35B-A3B, available in bf16 and NVFP4 builds (NVFP4 fits ~23.3 GiB GPU), and served via vLLM's POST /v1/decide API.
AI Model2026
Runs a 24B-parameter mixture-of-experts reasoning model with only ~2B active parameters per token for fast on-device agentic workflows; provides a 131K-token context and 128K vocabulary, post-trained for tool calling and agentic RL—pair with retrieval for knowledge-heavy tasks.