A stripped-down, uncensored variant of Qwen 3.5 4B built for one thing: speed.
This model removes the usual reasoning traces and <think> style output, so responses are direct, immediate, and way faster compared to the standard reasoning-heavy variants.
No special flags. No forcing reasoning to 0. No weird prompt hacks. Just load it and send it.
Why This Exists
Most recent reasoning models spend a lot of tokens thinking before answering.
That is cool for deep analysis, but for everyday use, coding, chatting, roleplay, assistant tasks, and general local AI workflows, it can feel slow, bloated, and honestly kinda cooked.
This model is designed to:
Remove visible reasoning traces
Eliminate <think> output
Respond directly without extra chain-of-thought dumping
Run faster in local inference setups
Work cleanly in llama.cpp, llama-server, OpenWebUI, SillyTavern, KoboldCpp, LM Studio, and similar tools
Compatible with image input in llama.cpp builds that support multimodal inference.
Performance Notes
Compared to the original reasoning-enabled Qwen variants, this model generally:
Starts responding faster
Uses fewer output tokens
Avoids wasting context on hidden reasoning
Feels more responsive for conversation
Works better on lower-end GPUs and CPUs
Especially useful if you are running local inference on limited hardware and want snappy output instead of waiting for the model to internally monologue for 500 tokens before answering a basic question.
Example Prompt
User: Write a Python script that renames all jpg files in a folder.
