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README.md
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---
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library_name: transformers
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base_model:
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- nbeerbower/mistral-nemo-gutenberg-12B-v3
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datasets:
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- flammenai/casual-conversation-DPO
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license: apache-2.0
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---
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![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)
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# QuantFactory/mistral-nemo-cc-12B-GGUF
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This is quantized version of [nbeerbower/mistral-nemo-cc-12B](https://huggingface.co/nbeerbower/mistral-nemo-cc-12B) created using llama.cpp
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# Original Model Card
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# mistral-nemo-cc-12B
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[nbeerbower/mistral-nemo-gutenberg-12B-v3](https://huggingface.co/nbeerbower/mistral-nemo-gutenberg-12B-v3) finetuned on [flammenai/casual-conversation-DPO](https://huggingface.co/datasets/flammenai/casual-conversation-DPO).
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This is an experimental finetune that formats the conversation data sequentially with ChatML.
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### Method
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Finetuned using an A100 on Google Colab for 3 epochs.
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[Fine-tune Llama 3 with ORPO](https://mlabonne.github.io/blog/posts/2024-04-19_Fine_tune_Llama_3_with_ORPO.html)
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