Richard I of England was called "Oc-e-Non" (Yes and No in Occitan) by some of contemporaries, supposedly because he used few words. Wouldn't it be nice if LLMs followed his shining example? Oc-e-Non-v1 is a tersified version of Qwen3-4B-Instruct-2507. It reduces Qwen's mean response length by 50%. Output examples "What is 1+1?" GPT-5.6 Terra (reasoning off): 1 + 1 = 2 😊️ Oc-e-Non-v1: 2 "Are dogs mammals?" GPT-5.6 Terra (reasoning off): Yes. Dogs are mammals: they have hair, are warm-blooded, and mothers nurse their young with milk. Oc-e-Non-v1: Yes "Write a Python function that checks if a string contains only capital letters." GPT-5.6 Terra (reasoning off): You can use Python's built-in isupper() method to check whether a string contains only capital letters. def is_only_uppercase(s): return s.isupper() Example usage: print(is_only_uppercase("HELLO")) # True print(is_only_uppercase("Hello")) # False print(is_only_uppercase("PYTHON")) # True print(is_only_uppercase("hello123")) # False Note: isupper() returns True if the string contains at least one uppercase letter and no lowercase letters. Numbers and special characters are allowed. Oc-e-Non-v1: def contains_only_uppercase(s): return s.isupper() I made this model with Heretic, and you can do the same thing. Make sure you have the latest master version of Heretic (pip install git+https://github.com/p-e-w/heretic.git), then run Heretic with the config.terse.toml configuration file. That's it! I used the relatively ancient Qwen3-4B because it is the last native non-thinking version of Qwen I'm aware of, and controlling reasoning effort isn't implemented in Heretic yet. (Please don't take this too seriously. I know that the same thing can easily be achieved with prompting, but it's interesting that it can also be baked into the model. This is intended as a light-hearted post while we all wait for Qwen4 😉️)   submitted by   /u/-p-e-w- [link]   [comments]