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---
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library_name: transformers
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tags:
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- 4-bit
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- text-generation
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- autotrain_compatible
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- endpoints_compatible
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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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#
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**UPLOAD IN PROGRESS**
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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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- 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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