--- library_name: transformers base_model: - axolotl-ai-co/romulus-mistral-nemo-12b-simpo datasets: - jondurbin/gutenberg-dpo-v0.1 - nbeerbower/gutenberg2-dpo license: apache-2.0 --- [![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory) # QuantFactory/Mistral-Nemo-Gutenberg-Doppel-12B-v2-GGUF This is quantized version of [nbeerbower/Mistral-Nemo-Gutenberg-Doppel-12B-v2](https://huggingface.co/nbeerbower/Mistral-Nemo-Gutenberg-Doppel-12B-v2) created using llama.cpp # Original Model Card ![image/png](https://huggingface.co/nbeerbower/Mistral-Small-Gutenberg-Doppel-22B/resolve/main/doppel-header?download=true) # Mistral-Nemo-Gutenberg-Doppel-12B [axolotl-ai-co/romulus-mistral-nemo-12b-simpo](https://huggingface.co/axolotl-ai-co/romulus-mistral-nemo-12b-simpo) finetuned on [jondurbin/gutenberg-dpo-v0.1](https://huggingface.co/datasets/jondurbin/gutenberg-dpo-v0.1) and [nbeerbower/gutenberg2-dpo](https://huggingface.co/datasets/nbeerbower/gutenberg2-dpo). ### Method [ORPO tuned](https://mlabonne.github.io/blog/posts/2024-04-19_Fine_tune_Llama_3_with_ORPO.html) with 2x A100 for 3 epochs.