Post
17
⚡ Introducing ZooWork Instinct Tuned 4B — an open decision model
Instead of generating text, Instinct scores candidate logits in one forward pass and returns temperature-scaled probabilities for choice, noul, and ordinal score questions.
🎯 4B parameters based on Qwen3.5-4B
📊 198/231 (85.71%) on the published JevBench tasks
⚡ Decode-free, single-order decision inference
📜 Apache-2.0 open weights
🤗 Model and weights:
srpone/instinct-tuned-4b
💻 Open-source runtime:
https://github.com/SerendipityOneInc/instinct
🌐 Hosted API:
https://instinct.zoowork.ai/
The published JevBench tasks were used during development, so the result is a transparent public-set reference—not a held-out claim.
Feedback on domain transfer, calibration, and option-order sensitivity is very welcome. 🚀
Instead of generating text, Instinct scores candidate logits in one forward pass and returns temperature-scaled probabilities for choice, noul, and ordinal score questions.
🎯 4B parameters based on Qwen3.5-4B
📊 198/231 (85.71%) on the published JevBench tasks
⚡ Decode-free, single-order decision inference
📜 Apache-2.0 open weights
🤗 Model and weights:
srpone/instinct-tuned-4b
💻 Open-source runtime:
https://github.com/SerendipityOneInc/instinct
🌐 Hosted API:
https://instinct.zoowork.ai/
The published JevBench tasks were used during development, so the result is a transparent public-set reference—not a held-out claim.
Feedback on domain transfer, calibration, and option-order sensitivity is very welcome. 🚀