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--- |
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license: apache-2.0 |
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base_model: |
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- nbeerbower/flammen17-mistral-7B |
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datasets: |
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- jondurbin/py-dpo-v0.1 |
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library_name: transformers |
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tags: |
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- 4-bit |
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- AWQ |
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- text-generation |
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- autotrain_compatible |
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- endpoints_compatible |
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- experimental |
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pipeline_tag: text-generation |
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inference: false |
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quantized_by: Suparious |
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--- |
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# nbeerbower/flammen17-py-DPO-v1-7B AWQ |
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- Model creator: [nbeerbower](https://huggingface.co/nbeerbower) |
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- Original model: [flammen17-py-DPO-v1-7B](https://huggingface.co/nbeerbower/flammen17-py-DPO-v1-7B) |
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## Model Summary |
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A Mistral 7B LLM built from merging pretrained models and finetuning on [Jon Durbin](https://huggingface.co/jondurbin)'s [py-dpo-v0.1](https://huggingface.co/datasets/jondurbin/py-dpo-v0.1). |
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Finetuned using an A100 on Google Colab. 🙏 |
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[Fine-tune a Mistral-7b model with Direct Preference Optimization](https://towardsdatascience.com/fine-tune-a-mistral-7b-model-with-direct-preference-optimization-708042745aac) - [Maxime Labonne](https://huggingface.co/mlabonne) |
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