THX-02 from @halx_ai is open source: a 4.5B multimodal decision model trained on requests up to 32K tokens, with a 60M adapter for selective thinking. It returns probabilities over your supplied options.
🤖 https://modelscope.ai/models/HAL-X/THX-02
🧠 Reason selectively: Auto mode generates a short reasoning note when the direct answer is uncertain and an internal gate identifies a need for reasoning, then combines the direct and thought-assisted predictions.
⚡ Fast direct decisions: Median latency is 50 ms directly and 79 ms in auto mode on one RTX PRO 6000. Requests that trigger thinking typically take 0.3–1 second.
📊 Measured gains from thinking: Auto mode raises Decision Index 0.3 from 63.83 to 65.06 on a 6,018-request public-suite sample. Full-suite and private leaderboard evaluations remain pending.
🎯 Define your own decisions: Ask up to 64 questions per request using multiple-choice, yes/no, or ordered ratings. New labels need no retraining.
🖼️ Text, images, and charts: Accepts up to four images per request, with post-training and evaluation across more than 20 languages.
📜 Apache 2.0.