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
| 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 | |