Decision models with selectable compute depth. We introduce APUS-OpenJev-v1, a family of decision models for browser agents and business workflows. Given a task, context, and candidate actions, the model returns a scored choice that an application can execute. The family provides 4B, 9B, and 35B-A3B variants with a common decision interface. Language-native decisions. Task definitions and candidate meanings arrive through natural language, allowing one shared model to handle changing decision spaces without a separate business-category classifier. Compute matched to the decision. The architecture combines selectable execution depth with candidate-aware output projection. Applications choose…
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transformers
A Qwen3.5 MoE decision model for choosing browser actions, selecting workflow steps, and judging natural-language criteria. Give the model a shared state and a set of candidate actions; the included decision runtime returns a distribution over those candidates. This repository contains 35B-A3B checkpoint-5949 merged BF16 weights. It is a standalone model with root-level Hugging Face configuration and weights, requiring no separate LoRA adapter. The native merged model scores 71/80 (88.75%) at its full 40-layer depth on the Frozen80 development panel. The decision interface accepts 2–16 request-specific candidates. Applications can use the returned candidate IDs to dispatch actions or build…
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apache-2.0
36B parameters
262,144 tokens
transformers
