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---
base_model: unsloth/gemma-2-2b-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- gemma2
- trl
license: apache-2.0
language:
- en
---
[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory)
# QuantFactory/GRMR-2B-Instruct-old-GGUF
This is quantized version of [qingy2024/GRMR-2B-Instruct-old](https://huggingface.co/qingy2024/GRMR-2B-Instruct-old) created using llama.cpp
# Original Model Card
# Uploaded model
- **Developed by:** qingy2024
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2-2b-bnb-4bit
This fine-tune of Gemma 2 2B is trained to take any input text and repeat it (with fixed grammar). *Now fine tuned for 300 steps*
Example:
**User**: Find a clip from a professional production of any musical within the past 50 years. The Tony awards have a lot of great options of performances of Tony nominated performances in the archives on their websites.
**GRMR-2B-Instruct**: Find a clip from a professional production of any musical within the past 50 years. The Tony Awards have a lot of great options of performances of Tony-nominated performances in their archives on their websites.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)