Blame for README.md

---
license: apache-2.0
base_model: google/gemma-4-12b-it
library_name: llama.cpp
tags:
  - gguf
  - gemma4
  - agent
  - tool-use
  - local
language:
  - pt
  - en
---

# Gargantua Pro (12B)

Gargantua Pro is the big model of the [openTARS](https://project-opentars.github.io/OpenTARS/) assistant, built for longer tasks: plan the steps, call the tools, check the result and keep going until the job is done. It uses the same 19 tools as Gargantua 2, on a larger base.

- **Base:** Gemma 4 12B (Apache-2.0), fine-tuned by the openTARS project on its own tool-use data.
- **File:** `gargantua-pro-gemma4-12b-Q4_K_M.gguf` (7.4 GB, text only).
- **Runs with:** llama.cpp and Ollama (the `gemma4` renderer and parser are built in). It needs a graphics card with about 8 GB, or plenty of RAM on the CPU.

## Use

```bash
printf 'FROM ./gargantua-pro-gemma4-12b-Q4_K_M.gguf\nRENDERER gemma4\nPARSER gemma4\nPARAMETER temperature 0.1\n' > Modelfile
ollama create gargantua-pro -f Modelfile
ollama run gargantua-pro
```

It calls tools through the standard Ollama tool-calling API; the openTARS app sends the 19 tools for you.

## Status

First release. We have not published benchmark numbers for it yet.

Follow the project at [project-opentars.github.io/OpenTARS](https://project-opentars.github.io/OpenTARS/).