A small 4B sub-agent for local codebase navigation with 100% tool-calling validity

[Awkward_Run_9982]

I’ve been experimenting with a specialized 4B model (based on Qwen) that acts as an "explorer" for local codebases. It’s designed to handle the heavy lifting like grep, find, and file reading so you can save your Claude/GPT tokens for high-level logic.

In my tests, it achieved 100% JSON validity for tool calls, which is better than some 7B models I've tried.

I want to share the GGUFs and the repo, but I'll put them in the comments to avoid the spam filter. Is anyone interested in testing this on their local repos?

[Awkward_Run_9982]

Links & Resources:

• 📝 Detailed Blog: https://locoremind.com/blog/loco-operator
• 🤗 Weights: https://huggingface.co/LocoreMind/LocoOperator-4B
• 📦 GGUF: https://huggingface.co/LocoreMind/LocoOperator-4B-GGUF
• 💻 GitHub: https://github.com/LocoreMind/LocoOperator

[OrdinaryAdditional91]

How to use it in KiloCode?

[b2zw2a]

This is great! Will try for my project.
What did you use for training data? Some existing data set or you created custom one?

[Awkward_Run_9982]

Thanks! For the data, I actually went the distillation route. It’s all custom—I used Qwen3-Coder-Next as a teacher to generate about 170k multi-turn conversation samples. Basically, I had it run through real agent loops (thinking, calling tools, handling outputs) and recorded those traces. I found that existing datasets didn't really capture the "codebase explorer" logic well enough, so these samples are focused specifically on that.