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