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Upload README.md with huggingface_hub
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README.md
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---
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base_model: unsloth/gemma-2-2b-bnb-4bit
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tags:
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- text-generation-inference
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- transformers
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- unsloth
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- gemma2
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- trl
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license: apache-2.0
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language:
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- en
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---
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[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory)
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# QuantFactory/GRMR-2B-Instruct-old-GGUF
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This is quantized version of [qingy2024/GRMR-2B-Instruct-old](https://huggingface.co/qingy2024/GRMR-2B-Instruct-old) created using llama.cpp
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# Original Model Card
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# Uploaded model
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- **Developed by:** qingy2024
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- **License:** apache-2.0
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- **Finetuned from model :** unsloth/gemma-2-2b-bnb-4bit
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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*
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Example:
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**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.
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**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.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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