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--- |
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base_model: google/gemma-7b |
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language: |
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- en |
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pipeline_tag: text-generation |
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license: other |
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model_type: gemma |
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library_name: transformers |
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inference: false |
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--- |
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 |
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## Google Gemma 7B |
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- **Model creator:** [Google](https://huggingface.co/google) |
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- **Original model:** [gemma-7b-it](https://huggingface.co/google/gemma-7b) |
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- [**Terms of use**](https://www.kaggle.com/models/google/gemma/license/consent) |
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## Description |
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This repo contains GGUF format model files for [Google's Gemma 7B](https://huggingface.co/google/gemma-7b) |
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## Original model |
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- **Developed by:** [Google](https://huggingface.co/google) |
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### Description |
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Gemma is a family of lightweight, state-of-the-art open models from Google, |
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built from the same research and technology used to create the Gemini models. |
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They are text-to-text, decoder-only large language models, available in English, |
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with open weights, pre-trained variants, and instruction-tuned variants. Gemma |
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models are well-suited for a variety of text generation tasks, including |
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question answering, summarization, and reasoning. Their relatively small size |
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makes it possible to deploy them in environments with limited resources such as |
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a laptop, desktop or your own cloud infrastructure, democratizing access to |
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state of the art AI models and helping foster innovation for everyone. |
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## Quantizon types |
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| quantization method | bits | size | description | recommended | |
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|---------------------|------|----------|-----------------------------------------------------|-------------| |
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| Q2_K | 2 | 3.09 | very small, very high quality loss | ❌ | |
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| Q3_K_S | 3 | 3.68 GB | very small, high quality loss | ❌ | |
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| Q3_K_L | 3 | 4.4 GB | small, substantial quality loss | ❌ | |
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| Q4_0 | 4 | 4.81 GB | legacy; small, very high quality loss | ❌ | |
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| Q4_K_S | 4 | 4.84 GB | medium, balanced quality | ✅ | |
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| Q4_K_M | 4 | 5.13 GB | medium, balanced quality | ✅ | |
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| Q5_0 | 5 | 5.88 GB | legacy; medium, balanced quality | ❌ | |
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| Q5_K_S | 5 | 5.88 GB | large, low quality loss | ✅ | |
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| Q5_K_M | 5 | 6.04 GB | large, very low quality loss | ✅ | |
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| Q6_K | 6 | 7.01 GB | very large, extremely low quality loss | ❌ | |
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| Q8_0 | 8 | 9.08 GB | very large, extremely low quality loss | ❌ | |
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| FP16 | 16 | 17.1 GB | enormous, negligible quality loss | ❌ | |
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## Usage |
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You can use this model with the latest builds of **LM Studio** and **llama.cpp**. |
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If you're new to the world of _large language models_, I recommend starting with **LM Studio**. |
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