Author reports Oc-e-Non-v1 cuts Qwen mean response length by 50%
AI summary
Reddit user /u/-p-e-w- announced Oc-e-Non-v1, a tersified version of Qwen3-4B-Instruct-2507 created with Heretic and its config.terse.toml configuration. The author says the model reduces Qwen’s mean response length by 50%, with examples showing shorter answers than GPT-5.6 Terra with reasoning disabled. The post also notes that Heretic does not yet support controlling reasoning effort.
In-depth insight
The project shows that Heretic can bake terse-answer behavior into a model, while the author notes that prompting can achieve a similar effect. The reported 50% reduction in mean response length has not been independently validated.
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-
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