README.md

---
tags:
- gguf
- llama.cpp
- unsloth
- vision-language-model
- rust
- coding
license: mit
datasets:
- Fortytwo-Network/Strandset-Rust-v1
base_model:
- google/gemma-4-E4B-it
---

# Gemma-4-Rust-Coder : GGUF

This model is a specialized fine-tune of **Gemma 4**, specifically optimized for **Rust systems programming**, memory safety patterns, and high-performance development. It was trained using **Unsloth Studio** to ensure maximum efficiency and performance.

## 🦀 Fine-Tuning Focus
The model has been adjusted to excel in:
* **Idiomatic Rust:** Writing clean, "Rusty" code using modern patterns.
* **Concurrency:** Deep understanding of `Send`, `Sync`, and async runtimes like `Tokio`.
* **Vision-to-Code:** Using its multimodal capabilities to translate architecture diagrams or UI mockups into functional Rust code.

## 🤝 Credits & Acknowledgments
Special thanks to **Fortytwo-Network** for providing the **[Strandset-Rust-v1](https://huggingface.co/datasets/Fortytwo-Network/Strandset-Rust-v1)** dataset. This model's specialized knowledge of the Rust ecosystem is a direct result of this high-quality data.

## 🚀 Usage
This model is converted to GGUF format for seamless use with `llama.cpp` and other compatible executors.

**Example usage**:
* **Text-only LLM:** `llama-cli -hf MassivDash/Gemma-4-Rust-Coder --jinja`
* **Multimodal / Vision:** `llama-mtmd-cli -hf MassivDash/Gemma-4-Rust-Coder --jinja`

## 📂 Available Model files:
* `gemma-4-e2b-it.Q3_K_M.gguf`
* `gemma-4-e2b-it.BF16-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.
2. Run: `ollama create model_name -f ./Modelfile`
   *(Replace `model_name` with your desired name)*

## 🔗 Stay Connected
For more insights on AI development and fine-tuning, visit my blog: 
👉 **[spaceout.pl](https://spaceout.pl)**

---

*This model 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)