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## ⚖️ License and Usage
This repository contains quantized variants of the Gemma language model developed by Google.
* 🧠 **Model source:** [Google / Gemma](https://ai.google.dev/gemma/terms)
* 🪄 **Quantized by:** c516a
### Terms of Use
These quantized models are:
* Provided under the same terms as the original Google Gemma models.
* Intended only for **non-commercial use**, **research**, and **experimentation**.
* Redistributed without modification to the underlying model weights, except for **format (GGUF)** and **quantization level**.
By using this repository or its contents, you agree to:
* Comply with the [Gemma License Terms](https://ai.google.dev/gemma/terms),
* Not use the model or its derivatives for any **commercial purposes** without a separate license from Google,
* Acknowledge Google as the original model creator.
> 📢 **Disclaimer:** This repository is not affiliated with Google.
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## 📦 Model Downloads
All quantized model files are hosted externally for convenience.
You can download them from:
👉 **[https://modelbakery.nincs.net/c516a/projects](https://modelbakery.nincs.net/users/c516a/projects/quantized-codegemma-7b-it)**
👉 git clone https://modelbakery.nincs.net/c516a/quantized-codegemma-7b-it.git
### File list
Each `.gguf` file has a corresponding `.txt` file that contains the same download URL for clarity.
Example:
* `codegemma-7b-it.Q4_K_M.gguf` (binary file)
* `codegemma-7b-it.Q4_K_M.gguf.txt` → contains:
```
Download: https://modelbakery.nincs.net/c516a/projects/quantized-codegemma-7b-it/codegemma-7b-it.Q4_K_M.gguf
```
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## 📘 Notes
These models were quantized locally using `llama.cpp` and tested on RTX 3050 / 5950X / 64GB RAM setups.
If you find them useful, feel free to star the project or fork it to share improvements!
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