Instructions to use arnavgrg/codealpaca-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use arnavgrg/codealpaca-qlora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "arnavgrg/codealpaca-qlora") - Notebooks
- Google Colab
- Kaggle
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README.md
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from peft import PeftModel, PeftConfig
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from transformers import AutoModelForCausalLM
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model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf")
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model = PeftModel.from_pretrained(model, "arnavgrg/codealpaca-qlora")
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```
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from peft import PeftModel, PeftConfig
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from transformers import AutoModelForCausalLM
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# Load base model in 4 bit
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model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf", load_in_4bit=True)
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# Wrap model with pretrained model weights
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config = PeftConfig.from_pretrained("arnavgrg/codealpaca-qlora")
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model = PeftModel.from_pretrained(model, "arnavgrg/codealpaca-qlora")
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```
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