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--- |
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library_name: transformers |
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base_model: |
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- Sao10K/MN-12B-Lyra-v1 |
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datasets: |
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- jondurbin/gutenberg-dpo-v0.1 |
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license: apache-2.0 |
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--- |
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Mostly quanting this to try it out, didn't see any other quants for EXL2 on this so here we are. |
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[This is the 6bpw version of this model. Find the original here.](https://huggingface.co/nbeerbower/Lyra-Gutenberg-mistral-nemo-12B) |
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<br> |
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[For the 8bpw version, go here](https://huggingface.co/Statuo/Lyra-Gutenberg-12b-EXL2-8bpw) |
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<br> |
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[For the 4bpw version, go here](https://huggingface.co/Statuo/Lyra-Gutenberg-12b-EXL2-4bpw) |
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<br> |
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# mistral-nemo-gutenberg-12B-v4 |
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[Sao10K/MN-12B-Lyra-v1](https://huggingface.co/Sao10K/MN-12B-Lyra-v1) finetuned on [jondurbin/gutenberg-dpo-v0.1](https://huggingface.co/datasets/jondurbin/gutenberg-dpo-v0.1). |
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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) |
