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---
base_model: google/gemma-7b-it
language:
- en
pipeline_tag: text-generation
license: other
model_type: gemma
library_name: transformers
inference: false
---
## Google Gemma 7B Instruct
- **Model creator:** [Google](https://huggingface.co/google)
- **Original model:** [gemma-7b-it](https://huggingface.co/google/gemma-7b-it)
- [**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 Instruct](https://huggingface.co/google/gemma-7b-it)
## 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 |
|---------------------|------|----------|-----------------------------------------------------|-------------|
| 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_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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