OSim 8B Mid OSim 8B Mid is the midtrained checkpoint of OSim (OdysSim), a foundation model for human behavior simulation — trained to imitate the human / user side of interactions rather than to behave as a helpful assistant. It is Qwen/Qwen3 8B Base midtrained on the OdysSim corpus: 62 public behavioral datasets unified into a common conversational format (~21.4M interactions, ~10B tokens), organized along the five Soul capability axes — CONV (discourse/interaction), SS (social skills), COG (cognitive / mental state reasoning), ROLE (persona, roleplay, pedagogy), and EVAL (judgment / preference). Midtraining shifts the base model's prior toward the human side distribution, avoiding the verbose, agreeable "assistant register" induced by helpfulness post training. This is the mid stage only (no task specific RL or expert distillation). For the post trained instruct model, see sunweiwei/OSim Inst 8B . Intended use Simulating the human/user side of conversations — user simulation for agent evaluation, social simulation, and persona / role play. The model is conditioned on a social context system prompt describing who is speaking (role, goal, background, conversational style); given th…
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