Instructions to use SamChen888/Mistral-EN-Part-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SamChen888/Mistral-EN-Part-3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-instruct-v0.3-bnb-4bit") model = PeftModel.from_pretrained(base_model, "SamChen888/Mistral-EN-Part-3") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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# part_3
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on the en_train_part_1, the
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## Model description
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# part_3
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on the en_train_part_1, the en_train_part_2 and the en_train_part_3 datasets.
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## Model description
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