---
quantized_by: bartowski
pipeline_tag: text-generation
base_model: google/gemma-7b-aps-it
library_name: transformers
license: gemma
---
## 💫 Community Model> gemma 7b aps it by Google

*👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)*.

**Model creator:** [google](https://huggingface.co/google)<br>
**Original model**: [gemma-7b-aps-it](https://huggingface.co/google/gemma-7b-aps-it)<br>
**GGUF quantization:** provided by [bartowski](https://huggingface.co/bartowski) based on `llama.cpp` release [b3930](https://github.com/ggerganov/llama.cpp/releases/tag/b3930)<br>

## Technical Details

Gemma-APS is a generative model and a research tool for abstractive proposition segmentation (APS for short), a.k.a. claim extraction.

Given a text passage, the model segments the content into the individual facts, statements, and ideas expressed in the text, and restates them in full sentences with small changes to the original text.

Supports a context length of 8192.

## Special thanks

🙏 Special thanks to [Georgi Gerganov](https://github.com/ggerganov) and the whole team working on [llama.cpp](https://github.com/ggerganov/llama.cpp/) for making all of this possible.

## Disclaimers

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