Instructions to use interrobang/test-wizardLM-2-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use interrobang/test-wizardLM-2-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "interrobang/test-wizardLM-2-LoRA") - Notebooks
- Google Colab
- Kaggle
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Download README.md from interrobang/test-wizardLM-2-LoRA: direct link, hf CLI and curl.
- Browser
- Download file 355 Bytes
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https://huggingface.co/interrobang/test-wizardLM-2-LoRA/resolve/main/README.md
- Command line
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hf download hf://interrobang/test-wizardLM-2-LoRA/README.md
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curl -L -o README.md https://huggingface.co/interrobang/test-wizardLM-2-LoRA/resolve/main/README.md
355 Bytes
metadata
library_name: peft
base_model: mistralai/Mistral-7B-v0.1
Low-rank decomposition of amazingvince/Not-WizardLM-2-7B using mistralai/Mistral-7B-v0.1 as base
Created using LoRD
rank=128 alpha=32