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
File size: 355 Bytes
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library_name: peft
base_model: mistralai/Mistral-7B-v0.1
---
# Low-rank decomposition of [amazingvince/Not-WizardLM-2-7B](https://huggingface.co/amazingvince/Not-WizardLM-2-7B) using [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) as base
Created using [LoRD](https://github.com/thomasgauthier/LoRD)
rank=128 alpha=32
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