Fine-tuned Gemma 4 12B claims 2.7x better tool calling

One builder fine-tuned Gemma 4 12B for tool calling and CLI work, then reported a 2.7x improvement on tool calling, per a post on Reddit's LocalLLaMA forum.

The target was 16GB of VRAM, the point past which nothing bigger than a 12B model runs comfortably for coding work, per the post. Anyone running local models near that VRAM ceiling has to pick between a bigger, slower model and a smaller one built for the job. Free weights let them test this one for themselves.

The builder published the model in formats from fp16 down to Q4_K_M under the name TheOneWhoWill/Coding-Monkey-Gemma-GGUF. They say Q6 and higher quantization performs noticeably better for anyone with the VRAM to spare.

Tool calls attempted rose 15.7%, which the builder reads as less time lost in reasoning. In a test against GitHub Copilot on a fresh create-next-app project, the fine-tune correctly sequenced the npm installs that followed.

The 2.7x figure comes from one person's benchmark on their own model, with no outside reviewer, per the post. The post doesn't name a broader test suite, so treat the number as a ceiling, not an average. Whether the Q6-and-above versions hold the same gain, or whether it shrinks as quantization drops, isn't in the post yet.