Gemma 4-12B fine-tuned for improved tool calling

By PulseAugur Editorial · [1 sources] · 2026-08-23 01:30

A user on Reddit's r/LocalLLaMA subreddit has fine-tuned the Gemma 4-12B model to improve its tool-calling capabilities. The user reported a 2.7x improvement in tool usage and a 15.7% increase in the number of tool calls emitted, which they believe allows the model to perform more work. The fine-tuned weights are available for use with llama.cpp or ollama. AI

IMPACT Demonstrates potential for community-driven improvements in model capabilities for specific tasks.

RANK_REASON User-driven fine-tuning of an existing model. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

Gemma 4-12B

model release

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Gemma 4-12B fine-tuned for improved tool calling

COVERAGE [1]

r/LocalLLaMA TIER_1 English(EN) · /u/TheOneWhoWil · 2026-08-23 01:30

I fine tuned Gemma 4 12B for a 2.7x improvement on tool calling because I can't fit anything else comfortably into my 16 GBs of Vram

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vvtu9z/i_fine_tuned_gemma_4_12b_for_a_27x_improvement_on/"> <img alt="I fine tuned Gemma 4 12B for a 2.7x improvement on tool calling because I can't fit anything else comfortably into my 16 GBs of Vram" src=…

COVERAGE [1]

I fine tuned Gemma 4 12B for a 2.7x improvement on tool calling because I can't fit anything else comfortably into my 16 GBs of Vram

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