Accio Lab · Long Horizon Agent

Occamy-1.0

A 35B mixture-of-experts with 3B active per token over 40 layers and 256 experts, eight routed plus one shared, with a vision encoder, built on the Qwen3.6-35B-A3B checkpoint through full-parameter supervised finetuning, HDPO, model merging and SAO post-training. Training used 14,998 trajectories totalling 403.3M tokens across general agentic work, long-horizon interactive agents, terminal and software engineering, and tool-call grounding, at a 262,144-token architecture context. Accio reports Claw-Eval average rising from 69.50 on the base model to 82.20, with Pass-cubed at 71.40, ahead of GPT-5.6 Sol at 68.90 but behind Qwen3.8-Max at 73.68. Apache 2.0 with open weights, and the Dressage training framework is open too.