Instructions to use totally-not-an-llm/EverythingLM-13b-peft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use totally-not-an-llm/EverythingLM-13b-peft with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-13b-hf") model = PeftModel.from_pretrained(base_model, "totally-not-an-llm/EverythingLM-13b-peft") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
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by librarian-bot - opened
README.md
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library_name: peft
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datasets:
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- totally-not-an-llm/EverythingLM-data
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Trained for 5 epochs on https://huggingface.co/datasets/totally-not-an-llm/EverythingLM-data. Merged model can be found here: https://huggingface.co/totally-not-an-llm/EverythingLM-13b-16k.
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library_name: peft
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datasets:
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- totally-not-an-llm/EverythingLM-data
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base_model: NousResearch/Llama-2-13b-hf
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Trained for 5 epochs on https://huggingface.co/datasets/totally-not-an-llm/EverythingLM-data. Merged model can be found here: https://huggingface.co/totally-not-an-llm/EverythingLM-13b-16k.
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