---
tags:
- gguf
- llama.cpp
- unsloth
- vision-language-model
base_model:
- google/gemma-3-4b-it
---

# gem3COMPILAR : GGUF

This model was finetuned and converted to GGUF format using [Unsloth](https://github.com/unslothai/unsloth).

**Example usage**:
- For text only LLMs:    `./llama.cpp/llama-cli -hf nullzero-live/gem3COMPILAR --jinja`
- For multimodal models: `./llama.cpp/llama-mtmd-cli -hf nullzero-live/gem3COMPILAR --jinja`

## Available Model files:
- `gemma-3-4b-it.Q8_0.gguf`
- `gemma-3-4b-it.F16-mmproj.gguf`

## ⚠️ Ollama Note for Vision Models
**Important:** Ollama currently does not support separate mmproj files for vision models.

To create an Ollama model from this vision model:
1. Place the `Modelfile` in the same directory as the finetuned bf16 merged model
3. Run: `ollama create model_name -f ./Modelfile`
   (Replace `model_name` with your desired name)

This will create a unified bf16 model that Ollama can use.
This was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth)
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)