---
base_model: google/gemma-7b
language:
- en
pipeline_tag: text-generation
license: other
model_type: gemma
library_name: transformers
inference: false
---
![image/webp](https://cdn-uploads.huggingface.co/production/uploads/65aa2d4b356bf23b4a4da247/NQAvp6NRHlNILyWWFlrA7.webp)
## Google Gemma 7B
- **Model creator:** [Google](https://huggingface.co/google)
- **Original model:** [gemma-7b-it](https://huggingface.co/google/gemma-7b)
- [**Terms of use**](https://www.kaggle.com/models/google/gemma/license/consent)
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## Description
This repo contains GGUF format model files for [Google's Gemma 7B](https://huggingface.co/google/gemma-7b)

## Original model
- **Developed by:** [Google](https://huggingface.co/google)

### Description
Gemma is a family of lightweight, state-of-the-art open models from Google,
built from the same research and technology used to create the Gemini models.
They are text-to-text, decoder-only large language models, available in English,
with open weights, pre-trained variants, and instruction-tuned variants. Gemma
models are well-suited for a variety of text generation tasks, including
question answering, summarization, and reasoning. Their relatively small size
makes it possible to deploy them in environments with limited resources such as
a laptop, desktop or your own cloud infrastructure, democratizing access to
state of the art AI models and helping foster innovation for everyone.

## Quantizon types
| quantization method | bits | size     | description                                            | recommended |
|---------------------|------|----------|-----------------------------------------------------|-------------|
| Q2_K                | 2    | 3.09     | very small, very high quality loss  |  ❌  |
| Q3_K_S              | 3    | 3.68 GB  | very small, high quality loss                       | ❌         |
| Q3_K_L              | 3    | 4.4 GB  | small, substantial quality loss                     | ❌         |
| Q4_0                | 4    | 4.81 GB  | legacy; small, very high quality loss | ❌         |
| Q4_K_S              | 4    | 4.84 GB  | medium, balanced quality   |  ✅  |
| Q4_K_M              | 4    | 5.13 GB  | medium, balanced quality              | ✅         |
| Q5_0                | 5    | 5.88 GB  | legacy; medium, balanced quality  | ❌         |
| Q5_K_S              | 5    | 5.88 GB  | large, low quality loss | ✅         |
| Q5_K_M              | 5    | 6.04 GB  | large, very low quality loss | ✅         |
| Q6_K                | 6    | 7.01 GB  | very large, extremely low quality loss              | ❌         |
| Q8_0                | 8    | 9.08 GB  | very large, extremely low quality loss | ❌         |
| FP16                | 16   | 17.1 GB  | enormous, negligible quality loss |  ❌  |

## Usage
You can use this model with the latest builds of **LM Studio** and **llama.cpp**.  
If you're new to the world of _large language models_, I recommend starting with **LM Studio**.
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