Instructions to use frankmorales2020/Mistral-7B-v0.1_AviationQA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use frankmorales2020/Mistral-7B-v0.1_AviationQA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1") model = PeftModel.from_pretrained(base_model, "frankmorales2020/Mistral-7B-v0.1_AviationQA") - Notebooks
- Google Colab
- Kaggle
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README.md
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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## Training procedure
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## Model description
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Article: https://medium.com/ai-in-plain-english/fine-tuning-the-mistral-7b-instruct-v0-1-model-with-aviationqa-dataset-06773d447c03
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Fine Tunning Notebook: https://github.com/frank-morales2020/MLxDL/blob/main/FineTuning_Mistral_7b_hfdeployment_dataset_AviationQA.ipynb
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## Intended uses & limitations
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## Training and evaluation data
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Evaluation Notebook: https://github.com/frank-morales2020/MLxDL/blob/main/FineTunning_Testing_For_AviationQADataset_.ipynb
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## Training procedure
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